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Algorithms for Diagnosing and Treating VAP
Ventilator‐associated pneumonia (VAP) is a serious and common complication for patients in the intensive care unit (ICU).1 VAP is defined as a pulmonary infection occurring after hospital admission in a mechanically‐ventilated patient with a tracheostomy or endotracheal tube.2, 3 With an attributable mortality that may exceed 20% and an estimated cost of $5000‐$20,000 per episode,49 the management of VAP is an important issue for both patient safety and cost of care.
The diagnosis of VAP is a controversial topic in critical care, primarily because of the difficulty distinguishing between airway colonization, upper respiratory tract infection (eg, tracheobronchitis), and early‐onset pneumonia. Some clinicians insist that an invasive sampling technique (eg, bronchoalveolar lavage) with quantitative cultures is essential for determining the presence of VAP.10 However, other clinicians suggest that a noninvasive approach using qualitative cultures (eg, tracheal suctioning) is an acceptable alternative.11 Regardless, nearly all experts agree that a specimen for microbiologic culture should be obtained prior to initiating antibiotics. Subsequent therapy should then be adjusted according to culture results.
Studies from both Europe and North America have demonstrated considerable variation in the diagnostic approaches used for patients with suspected VAP.12, 13 This variation is likely a result of several factors including controversy about the best diagnostic approach, variation in clinician knowledge and experience, and variation in ICU management protocols. Such practice variability is common for many ICU behaviors.1416 Quality‐of‐care proponents view this variation as an important opportunity for improvement.17
During a recent national collaborative aimed at reducing health careassociated infections in the ICU, we discovered many participants were uncertain about how to diagnose and manage VAP, and considerable practice variability existed among participating hospitals. This uncertainty provided an important opportunity for developing consensus on VAP management. On the basis of diagnostic criteria outlined by the Centers for Disease Control and Prevention (CDC), we developed algorithms as tools for diagnosing VAP in 4 ICU populations: infant, pediatric, immunocompromised, and adult ICU patients. We also developed an algorithm for initial VAP treatment. An interdisciplinary team of experts reviewed the current literature and developed these evidence‐based consensus guidelines. Our intent is that the algorithms provide guidance to clinicians looking for a standardized approach to the diagnosis and management of this complicated clinical situation.
METHODS
Our primary goal was to develop practical algorithms that assist ICU clinicians in the diagnosis and management of VAP during daily practice. To improve the quality and credibility of these algorithms, the development process used a stepwise approach that included assembling an interdisciplinary team of experts, appraising the published evidence, and formulating the algorithms through a consensus process.18
AHRQ National Collaborative
We developed these diagnostic algorithms as part of a national collaborative effort aimed at reducing VAP and central venous catheterrelated bloodstream infections in the ICU. This effort was possible through a 2‐year Partnerships in Implementing Patient Safety grant funded by the Agency for Healthcare Research and Quality (AHRQ).19 The voluntary collaborative was conducted in 61 medical/surgical and children's hospitals across the Hospital Corporation of America (HCA), a company that owns and/or operates 173 hospitals and 107 freestanding surgery centers in 20 states, England, and Switzerland. HCA is one of the largest providers of health care in the United States. All participating hospitals had at least 1 ICU, and a total of 110 ICUs were included in the project. Most hospitals were in the southern or southeastern regions of the United States.
Interdisciplinary Team
We assembled an interdisciplinary team to develop the diagnostic algorithms. Individuals on the team represented the specialties of infectious diseases, infection control, anesthesia, critical care medicine, hospital medicine, critical care nursing, pharmacy, and biostatistics. The development phase occurred over 34 months and used an iterative process that consisted of both group conference calls and in‐person meetings.
Our goal was not to conduct a systematic review but rather to develop practical algorithms for collaborative participants in a timely manner. Our literature search strategy included MEDLINE and the Cochrane Library. We focused on articles that addressed key diagnostic issues, proposed an algorithm, or summarized a topic relevant to practicing clinicians. Extra attention was given to articles that were randomized trials, meta‐analyses, or systematic reviews. No explicit grading of articles was performed. We examined studies with outcomes of interest to clinicians, including mortality, number of ventilator days, length of stay, antibiotic utilization, and antibiotic resistance.
We screened potentially relevant articles and the references of these articles. The search results were reviewed by all members of the team, and an iterative consensus process was used to derive the current algorithms. Preliminary versions of the algorithms were shown to other AHRQ investigators and outside experts in the field, and additional modifications were made based on their feedback. The final algorithms were approved by all study investigators.
RESULTS
Literature Overview
Overall, there is an enormous body of published literature on diagnosing and managing VAP. The Medline database has listed more than 500 articles on VAP diagnosis in the past decade. Nonetheless, the best diagnostic approach remains unclear. The gold standard for diagnosing VAP is lung biopsy with histopathologic examination and tissue culture. However, this procedure is fraught with potential dangers and impractical for most critically ill patients.20 Therefore, practitioners traditionally combine their clinical suspicion (based on fever, leukocytosis, character of sputum, and radiographic changes), epidemiologic data (eg, patient demographics, medical history, and ICU infection surveillance data), and microbiologic data.
Several issues relevant to practicing clinicians deserve further mention.
Definition of VAP
Although early articles used variable criteria for diagnosing VAP, recent studies have traditionally defined VAP as an infection occurring more than 48 hours after hospital admission in a mechanically ventilated patient with a tracheostomy or endotracheal tube.2 In early 2007, the CDC revised their definition for diagnosing VAP.3 These latest criteria state there is no minimum period that the ventilator must be in place in order to diagnose VAP. This important change must be kept in mind when examining future studies.
The term VAP is more specific than the term health careassociated pneumonia. The latter encompasses patients residing in a nursing home or long‐term care facility; hospitalized in an acute care hospital for more than 48 hours in the past 90 days; receiving antibiotics, chemotherapy, or wound care within the past 30 days; or attending a hospital or hemodialysis clinic.
The CDC published detailed criteria for diagnosing VAP in its member hospitals (Tables 1 and 2).3 Because diagnosing VAP in infants, children, elderly, and immunocompromised patients is often confusing because of other conditions with similar signs and symptoms, the CDC published alternate criteria for these populations. A key objective during development of our algorithms was to consolidate and simplify these diagnostic criteria for ICU clinicians.
| Radiology | Signs/symptoms/laboratory |
|---|---|
| |
| Two or more serial chest radiographs with at least 1 of the following*: | CRITERIA FOR ANY PATIENT |
| New or progressive and persistent infiltrate | At least 1 of the following: |
| Consolidation | Fever (>38C or >100.4F) with no other recognized cause |
| Cavitation | Leukopenia (4000 WBC/mm3) or leukocytosis (12,000 WBC/mm3) |
| Pneumatoceles, in infants 1 year old | For adults 70 years old, altered mental status with no other recognized causeand |
| Note: In patients without underlying pulmonary or cardiac disease (eg, respiratory distress syndrome, bronchopulmonary dysplasia, pulmonary edema, or chronic obstructive pulmonary disease), 1 definitive chest radiograph is acceptable.* | |
| At least 2 of the following: | |
| New onset of purulent sputum, or change in character of sputum, or increased respiratory secretions, or increased suctioning requirements | |
| New‐onset or worsening cough or dyspnea or tachypnea‖ | |
| Rales or bronchial breath sounds | |
| Worsening gas exchange (eg, O2 desaturation [eg, PaO2/FiO2 240],** increased oxygen requirement, or increased ventilation demand) | |
|
Any laboratory criterion from Table 2 |
|
| ALTERNATE CRITERIA FOR INFANTS 1 YEAR OLD | |
| Worsening gas exchange (eg, O2 desaturation, increased ventilation demand or O2 requirement) | |
| and | |
| At least 3 of the following: | |
| Temperature instability with no other recognized cause | |
| Leukopenia (4000 WBC/mm3) or leukocytosis (15,000 WBC/mm3) and left shift (10% bands) | |
| New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
| Apnea, tachypnea,‖ nasal flaring with retraction of chest wall, or grunting | |
| Wheezing, rales, or rhonchi | |
| Cough | |
| Bradycadia (100 beats/min) or tachycardia (>170 beats/min) | |
| ALTERNATE CRITERIA FOR CHILD >1 OR 12 YEARS OLD | |
| At least 3 of the following: | |
| Fever (>38.4C or >101.1F) or hypothermia (36.5C or 97.7F) with no other recognized cause | |
| Leukopenia (4000 WBC/mm3) or leukocytosis (15,000 WBC/mm3) | |
| New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
| New‐onset or worsening cough or dyspnea, apnea, or tachypnea‖ | |
| Rales or bronchial breath sounds | |
| Worsening gas exchange (eg, O2 desaturation 94%, increased ventilation demand or O2 requirement) | |
|
Any laboratory criterion from Table 2 |
|
| ALTERNATE CRITERIA FOR IMMUNOCOMPROMISED PATIENTS*** | |
| At least 1 of the following: | |
| Fever (>38.4C or >101.1F) with no other recognized cause | |
| For adults > 70 years old, altered mental status with no other recognized cause | |
| New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
| New‐onset or worsening cough, dyspnea, or tachypnea‖ | |
| Rales or bronchial breath sounds | |
| Worsening gas exchange (eg, O2 desaturation [eg, PaO2/FiO2 240],** increased oxygen requirement, or increased ventilation demand) | |
| Hemoptysis | |
| Pleuritic chest pain | |
| Matching positive blood and sputum cultures with Candida spp. | |
| Evidence of fungi or Pneumocytis from minimally contaminated LRT specimen (eg, BAL or protected specimen brushing) from 1 of the following: | |
| Direct microscopic exam | |
| Positive culture of fungi | |
|
Any laboratory criterion from Table 2 |
|
|
| Positive growth in blood culture* not related to another source of infection |
| Positive growth in culture of pleural fluid |
| Positive quantitative culture from minimally contaminated LRT specimen (eg, BAL) |
| 5% BAL‐obtained cells contain intracellular bacteria on direct microscopic exam (eg, gram stain) |
| Histopathologic exam shows at least 1 of the following: |
| Abscess formation or foci of consolidation with intense PMN accumulation in bronchioles and alveoli |
| Positive quantitative culture of lung parenchyma |
| Evidence of lung parenchyma invasion by fungal hyphae or pseudohyphae |
| Positive culture of virus or Chlamydia from respiratory secretions |
| Positive detection of viral antigen or antibody from respiratory secretions (eg, EIA, FAMA, shell vial assay, PCR) |
| Fourfold rise in paired sera (IgG) for pathogen (eg, influenza viruses, Chlamydia) |
| Positive PCR for Chlamydia or Mycoplasma |
| Positive micro‐IF test for Chlamydia |
| Positive culture or visualization by micro‐IF of Legionella spp. from respiratory secretions or tissue |
| Detection of Legionella pneumophila serogroup 1 antigens in urine by RIA or EIA |
| Fourfold rise in L. pneumophila serogroup 1 antibody titer to 1:128 in paired acute and convalescent sera by indirect IFA |
Etiology
The most commonly isolated VAP pathogens in all patients are bacteria.21 Most of these organisms normally colonize the respiratory and gastrointestinal tracts, but some are unique to health care settings. Tracheal intubation disrupts the body's natural anatomic and physiologic defenses and facilitates easier entry of these pathogens. Typical organisms include Staphylococcus aureus, Pseudomonas aeruginosa, Enterobacter species, Klebsiella pneumoniae, Acinetobacter species, Escherichia coli, and Haemophilus influenzae.22, 23 Unfortunately, the prevalence of antimicrobial resistance among VAP pathogens is increasing.24 Risk factors for antibiotic resistance are common to ICU patients and include recent antibiotics, hemodialysis, nursing home residence, immunosuppression, and chronic wound care.5 Polymicrobial infections are frequently seen in VAP, with up to 50% of all VAP episodes caused by more than 1 organism.25
Viral VAP is rare in immunocompetent hosts, and seasonal outbreaks of influenza and other similar viruses are usually limited to nonventilated patients.26 However, influenza is underrecognized as a potential nosocomial pathogen, and numerous nosocomial outbreaks because of influenza have been reported.2731 Although herpes simplex virus is often detected in the respiratory tract of critically ill patients, its clinical importance remains unclear.32
Fungal VAP is also rare in immunocompetent hosts. On the other hand, pulmonary fungal infections are common in immunocompromised patients, especially following chemotherapy and transplantation. Candida species are often isolated from the airways of normal hosts, but most cases traditionally have been considered clinically unimportant because these organisms are normal oropharyngeal flora and rarely invade lung tissue.33, 34 It is unclear whether recent studies suggesting Candida colonization is associated with a higher risk for Pseudomonas VAP will change this conventional wisdom.3537
Immunocompromised patients with suspected VAP are unique because they are at risk not only for typical bacteria (which are the most common causes of VAP) but also for rarer opportunistic infections and noninfectious processes that mimic pneumonia.3840 While assessing these patients, clinicians must consider the status of the underlying disease, duration and type of immunosuppression, prophylactic regimens, and risk factors for noninfectious causes of pulmonary infiltrates.41 Common opportunistic infections include viruses, mycobacteria, fungi, and Pneumocystis. Noninfectious processes include pulmonary edema, drug toxicity, radiation pneumonitis, engraftment syndrome, bronchiolitis obliterans organizing pneumonia, alveolar proteinosis, transfusion‐related lung injury, alveolar hemorrhage, and progression of underlying disease. In general, diagnosing VAP in the immunocompromised patient requires a prompt, comprehensive, and multidisciplinary approach.38
In preterm and term infants, the most common VAP pathogens are gram‐negative organisms such as E. coli and P. aeruginosa. Other less common pathogens are Enterobacter, Klebsiella, Acinetobacter, Proteus, Citrobacter, and Stenotrophomonas maltophilia.42, 43 Infants with a preceding bloodstream infection or prolonged intubation are more likely to develop VAP.43, 44 Unfortunately, gram‐negative bacteria often colonize the airways of mechanically ventilated infants, and tracheal aspirate culture data are difficult to interpret in this population.42
Children are more likely to develop VAP if they are intubated for more than 48 hours. The most common pathogens isolated from tracheal aspirates in mechanically ventilated children are enteric gram‐negative bacteria, P. aeruginosa, and S. aureus.45, 46 Few studies have precisely delineated the pathogenesis of VAP in the pediatric ICU population.
Overall, the causes of VAP vary by hospital, patient population, and ICU type. Therefore, it is essential that ICU clinicians remain knowledgeable about their local surveillance data.21 Awareness of VAP microbiology is essential for optimizing initial antibiotic therapy and improving outcomes.
Early Versus Late VAP
Distinguishing between early and late VAP is important for initial antibiotic selection because the etiologic pathogens vary between these 2 periods.4749 Early VAP (days 14 of hospitalization) usually involves antibiotic‐sensitive community‐acquired bacteria and carries a better prognosis. In contrast, late VAP (5 days after hospital admission) is more likely to be caused by antibiotic‐resistant nosocomial bacteria that lead to increased morbidity and mortality. All patients who have been hospitalized or have received antibiotics during the prior 90 days should be treated as having late VAP because they are at much higher risk for colonization and infection with antibiotic‐resistant bacteria.47 Of note, 2 recent studies suggest that pathogens in the early and late periods are becoming similar at some institutions.50, 51 Overall, the distinction between early and late VAP is important because it affects the likelihood that a patient has antibiotic‐resistant bacteria. If antibiotic‐resistant pathogens are suspected, initial therapy should include empiric triple antibiotics until culture data are available.
Culturing Approaches
Because clinical criteria alone are rarely able to accurately diagnose VAP,52, 53 clinicians should also obtain a respiratory specimen for microbiologic culture. Despite the convenience of blood cultures, their sensitivity for diagnosing VAP is poor, and they rarely make the diagnosis alone.54 Two methods are available for culturing the lungsan invasive approach (eg, bronchoscopy with bronchoalveolar lavage) and a noninvasive approach (eg, tracheal aspirate).
Some investigators believe that adult patients with suspected VAP should always undergo an invasive sampling of lower‐respiratory‐tract secretions.55 Proponents of the invasive approach cite the frequency with which potential pathogens colonize the trachea of ICU patients and create spurious results on tracheal aspirates.22 In addition, several studies have shown that clinicians are more likely to narrow the spectrum of antibiotics after obtaining an invasive diagnostic sample.56 In other words, the invasive approach has been associated with better antimicrobial stewardship.
Other investigators believe that a noninvasive approach is equally safe and effective for diagnosing VAP.57 This clinical approach involves culturing a tracheal aspirate and using a pneumonia prediction score such as the clinical pulmonary infection score (CPIS; Table 3). The CPIS assigns 012 points based on 6 clinical criteria: fever, leukocyte count, oxygenation, quantity and purulence of secretions, type of radiographic abnormality, and results of sputum gram stain and culture.58 As developed, a CPIS > 6 has a sensitivity of 93% and a specificity of 100% for diagnosing VAP.58 However, the CPIS requires that nurses record sputum volume and that the laboratory stains the specimen. When the CPIS has been modified based on the unavailability of such resources, the results have been less impressive.5961 Despite studies showing that a noninvasive clinical approach can achieve adequate initial antibiotic coverage and reduce overuse of broad‐spectrum agents,62, 63 clinicians who use the CPIS must understand its inherent limitations.
| Criterion | Range | Score |
|---|---|---|
| ||
| Temperature (C) | 36.138.4 | 0 |
| 38.538.9 | 1 | |
| 39 or 36 | 2 | |
| Blood leukocytes (/mm3) | 4000 and 11,000 | 0 |
| 4000 or >11,000 | 1 | |
| + band forms 500 | 2 | |
| Oxygenation: PaO2/FiO2 (mmHg) | >240 or ARDS | 0 |
| 240 and no evidence of ARDS | 2 | |
| Chest radiograph | No infiltrate | 0 |
| Diffuse (or patchy) infiltrate | 1 | |
| Localized infiltrate | 2 | |
| Tracheal secretions | Absence of tracheal secretions | 0 |
| Nonpurulent tracheal secretions | 1 | |
| Purulent tracheal secretions | 2 | |
| Culture of tracheal aspirate | Pathogenic bacteria culture: no growth or light growth | 0 |
| Pathogenic bacteria culture: moderate/heavy growth | 1 | |
| Same pathogenic bacteria seen on gram stain (add 1 point) | 2 | |
A meta‐analysis56 comparing the utility of an invasive versus a noninvasive culturing approach identified 4 randomized trials examining this issue.6669 Overall, an invasive approach did not alter mortality, but patients undergoing bronchoscopy were much more likely to have their antibiotic regimens modified by clinicians. This suggests that the invasive approach may allow more directed use of antibiotics. Recently, the Canadian Critical Care Trials Group conducted a multicenter randomized trial looking at this issue.11 There was no difference between the 2 approaches in mortality, number of ventilator days, and antibiotic usage. However, all patients in this study were immediately treated with empiric broad‐spectrum antibiotics until culture results were available, and the investigators did not have a protocol for stopping antibiotics after culture data were available.
In summary, both invasive and noninvasive culturing approaches are considered acceptable options for diagnosing VAP. Readers interested in learning more about this topic should read the worthwhile Expert Discussion70 by Chastre and colleagues55 at the end of this article. In general, we recommend that ICU clinicians use a combination of clinical suspicion (based on the CPIS or other objective data) and cultures ideally obtained prior to antibiotics. Regardless of the chosen culturing approach, clinicians must recognize that 1 of the most important determinants of patient outcome is prompt administration of adequate initial antibiotics.7175
Initial Antibiotic Administration
Delaying initial antibiotics in VAP increases the risk of death.7175 If a patient receives ineffective initial therapy, a later switch to appropriate therapy does not eliminate the increased mortality risk. Therefore, a comprehensive approach to VAP diagnosis requires consideration of initial empiric antibiotic administration.
Whenever possible, clinicians should obtain a lower respiratory tract sample for microscopy and culture before administering antibiotics because performing cultures after antibiotics have been recently started will lead to a higher rate of false‐negative results.76 Unless the patient has no signs of sepsis and microscopy is completely negative, clinicians should then immediately start empiric broad‐spectrum antibiotics.57 Once the culture sensitivities are known, therapy can be deescalated to a narrower spectrum.77 Recent studies suggest that shorter durations of therapy (8 days) are as effective as longer courses and are associated with lower colonization rates by antibiotic‐resistant bacteria.62, 78
Initial broad‐spectrum antibiotics should be chosen based on local bacteriology and resistance patterns. Clinicians must remain aware of the most common bacterial pathogens in their local community, hospital, and ICU. This is essential for both ensuring adequate initial antibiotic coverage and reducing overall antibiotic days.65 Unrestrained use of broad‐spectrum antibiotics increases the risk of resistant pathogens. Clinicians must continually deescalate therapy and use narrow‐spectrum drugs as pathogens are identified.79
Prevention of VAP
In 2005, the American Thoracic Society published guidelines for the management of adults with VAP.5 These guidelines included a discussion of modifiable risk factors for preventing VAP and used an evidence‐based grading system to rank the various recommendations. The highest evidence (level 1) comes from randomized clinical trials, moderate evidence (level 2) comes from nonrandomized studies, and the lowest evidence (level 3) comes from case studies or expert opinion. Others have also published their own guidelines and recommendations for preventing VAP.8082 Table 4 shows the key VAP preventive strategies.
| Strategy | Level of evidence | References |
|---|---|---|
| ||
| General infection control measures (hand hygiene, staff education, isolate MDR pathogens, etc.) | 1 | 2,83,84 |
| ICU infection surveillance | 2 | 2,8385 |
| Avoid reintubation if possible, but promptly reintubate if a patients inexorably fails extubation | 1 | 2,83,86,87 |
| Use NPPV when appropriate (in selected patients) | 1 | 88 |
| Use oral route for endotracheal and gastric tubes (vs. nasal route) | 2 | 89 |
| Continuous suctioning of subglottic secretions (to avoid pooling on cuff and leakage into LRT) | 1 | 9092 |
| Maintain endotracheal cuff pressure > 20 cm H2O (to prevent secretion leakage into LRT) | 2 | 93 |
| Avoid unnecessary ventilator circuit changes | 1 | 94 |
| Routinely empty condensate in ventilator circuit | 2 | 95 |
| Maintain adequate nursing and therapist staffing | 2 | 9698 |
| Implement ventilator weaning and sedation protocols | 2 | 99101 |
| Semierect patient positioning (vs. supine) | 1 | 102 |
| Avoid aspiration when using enteral nutrition | 1 | 103,104 |
| Topical oral antisepsis (eg, chlorhexidine) | 1 | 105108 |
| Control blood sugar with insulin | 1 | 109 |
| Use heat‐moisture exchanger (vs. conventional humidifier) to reduce tubing condensate | 1 | 95 |
| Avoid unnecessary red blood cell transfusions | 1 | 110 |
| Use of sucralfate for GI prophylaxis | 1 | 111,112 |
| Influenza vaccination for health care workers | 2 | 2 |
Some strategies are not recommended for VAP prevention in general ICU patients. Selective decontamination of the digestive tract (ie, prophylactic oral antibiotics) has been shown to reduce respiratory infections in ICU patients,113 but its overall role remains controversial because of concerns it may increase the incidence of multi‐drug‐resistant pathogens.114 Similarly, prophylactic intravenous antibiotics administered at the time of intubation can reduce VAP in certain patient populations,115 but this strategy is also associated with an increased risk of antibiotic‐resistant nosocomial infections.116 Using kinetic beds and scheduled chest physiotherapy to reduce VAP is based on the premise that critically ill patients often develop atelectasis and cannot effectively clear their secretions. Unfortunately, neither of these modalities has been shown to consistently reduce VAP in medical ICU patients.117119
Algorithms for Diagnosis and Treatment of VAP
We present algorithms for diagnosing VAP in 4 ICU populations: infant (1 year old), pediatric (1‐12 years old), immunocompromised, and adult ICU patients (Figs. 14). Because clinicians face considerable uncertainty when diagnosing VAP, we sought to develop practical algorithms for use in daily ICU practice. Although we provided the algorithms to collaborative participants as a tool for improving care, we never mandated use, and we did not monitor levels of adherence.
Five teaching cases are presented in the Appendix. We demonstrate how to utilize the diagnostic algorithms in these clinical scenarios and offer tips for clinicians wishing to employ these tools in their daily practice. These cases are useful for educating residents, nurses, and hospitalists.
Overall, our intent is that the combined use of these VAP algorithms facilitate a streamlined diagnostic approach and minimize delays in initial antibiotic administration. A primary focus of any VAP guideline should be early and appropriate antibiotics in adequate doses, with deescalation of therapy as culture data permit.5 In general, the greatest risk to a patient with VAP is delaying initial adequate antibiotic coverage, and for this reason, antibiotics must always be administered promptly. However, if culture data are negative, the clinician should consider withdrawing unnecessary antibiotics. For example, the absence of gram‐positive organisms on BAL after 72 hours would strongly suggest that MRSA is not playing a role and that vancomycin can be safely stopped. We agree with Neiderman that the decision point is not whether to start antibiotics, but whether to continue them at day 23.57
DISCUSSION
In this article, we introduce algorithms for diagnosing and managing VAP in infant, pediatric, immunocompromised, and adult ICU patients. We developed 4 algorithms because the hospitals in our system care for a wide range of patients. Our definitions for VAP were based on criteria outlined by the CDC because these rigorously developed criteria have been widely disseminated as components of the Institute for Healthcare Improvement's ventilator bundle.120 Clinicians should be able to easily incorporate these practical algorithms into their current practice.
The algorithms were developed during a collaborative across a large national health care system. We undertook this task because many clinicians were uncertain how to integrate the enormous volume of VAP literature into their daily practice, and we suspected there was large variation in practice in our ICUs. Recent studies from other health care systems provided empiric evidence to support this notion.12, 13
We offer these algorithms as practical tools to assist ICU clinicians and not as proscriptive mandates. We realize that the algorithms may need modification based on a hospital's unique bacteriology and patient populations. We also anticipate that the algorithms will adapt to future changes in VAP epidemiology, preventive strategies, emerging pathogens, and new antibiotics.
Numerous resources are available to learn more about VAP management. An excellent guideline from the Infectious Diseases Society of America and the American Thoracic Society discusses VAP issues in detail,5 although this guideline only focuses on immunocompetent adult patients. The journal Respiratory Care organized an international conference with numerous VAP experts in 2005 and subsequently devoted an entire issue to this topic.81 The Canadian Critical Care Trials Group and the Canadian Critical Care Society conducted systematic reviews and developed separate guidelines for the prevention, diagnosis, and treatment of VAP.80, 121
In summary, we present diagnostic and treatment algorithms for VAP. Our intent is that these algorithms may provide evidence‐based practical guidance to clinicians seeking a standardized approach to diagnosing and managing this challenging problem.
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- .The clinical diagnosis of ventilator‐associated pneumonia.Respir Care.2005;50:788–796; discussion 807–812.
- ,,,,,.Diagnosis of ventilator‐associated pneumonia by bacteriologic analysis of bronchoscopic and nonbronchoscopic “blind” bronchoalveolar lavage fluid.Am Rev Respir Dis.1991;143:1121–1129.
- ,,,,,.Diagnosing pneumonia during mechanical ventilation: the clinical pulmonary infection score revisited.Am J Respir Crit Care Med.2003;168:173–179.
- ,,,,,.The diagnosis of ventilator‐associated pneumonia using non‐bronchoscopic, non‐directed lung lavages.Intensive Care Med.2000;26:20–30.
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- ,,,,.Short‐course empiric antibiotic therapy for patients with pulmonary infiltrates in the intensive care unit. A proposed solution for indiscriminate antibiotic prescription.Am J Respir Crit Care Med.2000;162:505–511.
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- ,,,,.Impact of quantitative invasive diagnostic techniques in the management and outcome of mechanically ventilated patients with suspected pneumonia.Crit Care Med.2000;28:2737–2741.
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- ,,.Expert discussion: The invasive (quantitative) diagnosis of ventilator‐associated pneumonia.Respir Care.2005;50:807–812.
- ,,, et al.Impact of BAL data on the therapy and outcome of ventilator‐associated pneumonia.Chest.1997;111:676–685.
- ,,,.Impact of appropriateness of initial antibiotic therapy on the outcome of ventilator‐associated pneumonia.Intensive Care Med.2001;27:355–362.
- ,,,,.Clinical importance of delays in the initiation of appropriate antibiotic treatment for ventilator‐associated pneumonia.Chest.2002;122:262–268.
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- .The importance of appropriate initial antibiotic therapy for hospital‐acquired infections.Am J Med.2003;115:582–584.
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- ,,, et al.De‐escalation therapy in ventilator‐associated pneumonia.Crit Care Med.2004;32:2183–2190.
- ,,, et al.Comparison of 8 vs 15 days of antibiotic therapy for ventilator‐associated pneumonia in adults: a randomized trial.JAMA.2003;290:2588–2598.
- .De‐escalation therapy in ventilator‐associated pneumonia.Curr Opin Crit Care.2006;12:452–457.
- ,,, et al.Evidence‐based clinical practice guideline for the prevention of ventilator‐associated pneumonia.Ann Intern Med.2004;141:305–313.
- .Conference summary: ventilator‐associated pneumonia.Respir Care.2005;50:975–983.
- ,,.Prevention of ventilator‐associated pneumonia: an evidence‐based systematic review.Ann Intern Med.2003;138:494–501.
- .The prevention of ventilator‐associated pneumonia.N Engl J Med.1999;340:627–634.
- .Epidemiology and control of nosocomial infections in adult intensive care units.Am J Med.1991;91:179S–184S.
- ,,, et al.Effectiveness of a hospital‐wide programme to improve compliance with hand hygiene. Infection Control Programme.Lancet.2000;356:1307–1312.
- ,,, et al.Re‐intubation increases the risk of nosocomial pneumonia in patients needing mechanical ventilation.Am J Respir Crit Care Med.1995;152:137–41.
- ,,,,,.Nosocomial pneumonia. A multivariate analysis of risk and prognosis.Chest.1988;93:318–324.
- ,,, et al.Association of noninvasive ventilation with nosocomial infections and survival in critically ill patients.JAMA.2000;284:2361–2367.
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- ,,.Prevention measures for ventilator‐associated pneumonia: a new focus on the endotracheal tube.Curr Opin Infect Dis.2007;20:190–197.
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- ,,, et al.Continuous aspiration of subglottic secretions in preventing ventilator‐associated pneumonia.Ann Intern Med.1995;122:179–186.
- ,,,,,.Pneumonia in intubated patients: role of respiratory airway care.Am J Respir Crit Care Med.1996;154:111–115.
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- ,,.Contaminated condensate in mechanical ventilator circuits. A risk factor for nosocomial pneumonia?Am Rev Respir Dis.1984;129:625–628.
- ,,,,.Outbreak of Enterobacter cloacae related to understaffing, overcrowding, and poor hygiene practices.Infect Control Hosp. Epidemiol.1999;20:598–603.
- ,,,,.Nursing resources: a major determinant of nosocomial infection?Curr Opin Infect Dis.2004;17:329–333.
- ,,,,.Nurse‐staffing levels and the quality of care in hospitals.N Engl J Med.2002;346:1715–1722.
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- ,,,.Daily interruption of sedative infusions in critically ill patients undergoing mechanical ventilation.N Engl J Med.2000;342:1471–1477.
- ,,,,,.Supine body position as a risk factor for nosocomial pneumonia in mechanically ventilated patients: a randomised trial.Lancet.1999;354:1851–1858.
- ,,, et al.Early versus late enteral feeding of mechanically ventilated patients: results of a clinical trial.JPEN J Parenter Enteral Nutr.2002;26:174–181.
- ,,,.Optimizing the benefits and minimizing the risks of enteral nutrition in the critically ill: role of small bowel feeding.JPEN J Parenter Enteral Nutr.2002;26:S51–S55; discussion S56–S57.
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- ,.Topical chlorhexidine for prevention of ventilator‐associated pneumonia: a meta‐analysis.Crit Care Med.2007;35:595–602.
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- ,,,.Red blood cell transfusion and ventilator‐associated pneumonia: A potential link?Crit Care Med.2004;32:666–674.
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- Zap the VAP. Available at: http://www.zapthevap.com. Accessed March 1,2007.
- .Aspiration pneumonitis and aspiration pneumonia.N Engl J Med.2001;344:665–671.
Ventilator‐associated pneumonia (VAP) is a serious and common complication for patients in the intensive care unit (ICU).1 VAP is defined as a pulmonary infection occurring after hospital admission in a mechanically‐ventilated patient with a tracheostomy or endotracheal tube.2, 3 With an attributable mortality that may exceed 20% and an estimated cost of $5000‐$20,000 per episode,49 the management of VAP is an important issue for both patient safety and cost of care.
The diagnosis of VAP is a controversial topic in critical care, primarily because of the difficulty distinguishing between airway colonization, upper respiratory tract infection (eg, tracheobronchitis), and early‐onset pneumonia. Some clinicians insist that an invasive sampling technique (eg, bronchoalveolar lavage) with quantitative cultures is essential for determining the presence of VAP.10 However, other clinicians suggest that a noninvasive approach using qualitative cultures (eg, tracheal suctioning) is an acceptable alternative.11 Regardless, nearly all experts agree that a specimen for microbiologic culture should be obtained prior to initiating antibiotics. Subsequent therapy should then be adjusted according to culture results.
Studies from both Europe and North America have demonstrated considerable variation in the diagnostic approaches used for patients with suspected VAP.12, 13 This variation is likely a result of several factors including controversy about the best diagnostic approach, variation in clinician knowledge and experience, and variation in ICU management protocols. Such practice variability is common for many ICU behaviors.1416 Quality‐of‐care proponents view this variation as an important opportunity for improvement.17
During a recent national collaborative aimed at reducing health careassociated infections in the ICU, we discovered many participants were uncertain about how to diagnose and manage VAP, and considerable practice variability existed among participating hospitals. This uncertainty provided an important opportunity for developing consensus on VAP management. On the basis of diagnostic criteria outlined by the Centers for Disease Control and Prevention (CDC), we developed algorithms as tools for diagnosing VAP in 4 ICU populations: infant, pediatric, immunocompromised, and adult ICU patients. We also developed an algorithm for initial VAP treatment. An interdisciplinary team of experts reviewed the current literature and developed these evidence‐based consensus guidelines. Our intent is that the algorithms provide guidance to clinicians looking for a standardized approach to the diagnosis and management of this complicated clinical situation.
METHODS
Our primary goal was to develop practical algorithms that assist ICU clinicians in the diagnosis and management of VAP during daily practice. To improve the quality and credibility of these algorithms, the development process used a stepwise approach that included assembling an interdisciplinary team of experts, appraising the published evidence, and formulating the algorithms through a consensus process.18
AHRQ National Collaborative
We developed these diagnostic algorithms as part of a national collaborative effort aimed at reducing VAP and central venous catheterrelated bloodstream infections in the ICU. This effort was possible through a 2‐year Partnerships in Implementing Patient Safety grant funded by the Agency for Healthcare Research and Quality (AHRQ).19 The voluntary collaborative was conducted in 61 medical/surgical and children's hospitals across the Hospital Corporation of America (HCA), a company that owns and/or operates 173 hospitals and 107 freestanding surgery centers in 20 states, England, and Switzerland. HCA is one of the largest providers of health care in the United States. All participating hospitals had at least 1 ICU, and a total of 110 ICUs were included in the project. Most hospitals were in the southern or southeastern regions of the United States.
Interdisciplinary Team
We assembled an interdisciplinary team to develop the diagnostic algorithms. Individuals on the team represented the specialties of infectious diseases, infection control, anesthesia, critical care medicine, hospital medicine, critical care nursing, pharmacy, and biostatistics. The development phase occurred over 34 months and used an iterative process that consisted of both group conference calls and in‐person meetings.
Our goal was not to conduct a systematic review but rather to develop practical algorithms for collaborative participants in a timely manner. Our literature search strategy included MEDLINE and the Cochrane Library. We focused on articles that addressed key diagnostic issues, proposed an algorithm, or summarized a topic relevant to practicing clinicians. Extra attention was given to articles that were randomized trials, meta‐analyses, or systematic reviews. No explicit grading of articles was performed. We examined studies with outcomes of interest to clinicians, including mortality, number of ventilator days, length of stay, antibiotic utilization, and antibiotic resistance.
We screened potentially relevant articles and the references of these articles. The search results were reviewed by all members of the team, and an iterative consensus process was used to derive the current algorithms. Preliminary versions of the algorithms were shown to other AHRQ investigators and outside experts in the field, and additional modifications were made based on their feedback. The final algorithms were approved by all study investigators.
RESULTS
Literature Overview
Overall, there is an enormous body of published literature on diagnosing and managing VAP. The Medline database has listed more than 500 articles on VAP diagnosis in the past decade. Nonetheless, the best diagnostic approach remains unclear. The gold standard for diagnosing VAP is lung biopsy with histopathologic examination and tissue culture. However, this procedure is fraught with potential dangers and impractical for most critically ill patients.20 Therefore, practitioners traditionally combine their clinical suspicion (based on fever, leukocytosis, character of sputum, and radiographic changes), epidemiologic data (eg, patient demographics, medical history, and ICU infection surveillance data), and microbiologic data.
Several issues relevant to practicing clinicians deserve further mention.
Definition of VAP
Although early articles used variable criteria for diagnosing VAP, recent studies have traditionally defined VAP as an infection occurring more than 48 hours after hospital admission in a mechanically ventilated patient with a tracheostomy or endotracheal tube.2 In early 2007, the CDC revised their definition for diagnosing VAP.3 These latest criteria state there is no minimum period that the ventilator must be in place in order to diagnose VAP. This important change must be kept in mind when examining future studies.
The term VAP is more specific than the term health careassociated pneumonia. The latter encompasses patients residing in a nursing home or long‐term care facility; hospitalized in an acute care hospital for more than 48 hours in the past 90 days; receiving antibiotics, chemotherapy, or wound care within the past 30 days; or attending a hospital or hemodialysis clinic.
The CDC published detailed criteria for diagnosing VAP in its member hospitals (Tables 1 and 2).3 Because diagnosing VAP in infants, children, elderly, and immunocompromised patients is often confusing because of other conditions with similar signs and symptoms, the CDC published alternate criteria for these populations. A key objective during development of our algorithms was to consolidate and simplify these diagnostic criteria for ICU clinicians.
| Radiology | Signs/symptoms/laboratory |
|---|---|
| |
| Two or more serial chest radiographs with at least 1 of the following*: | CRITERIA FOR ANY PATIENT |
| New or progressive and persistent infiltrate | At least 1 of the following: |
| Consolidation | Fever (>38C or >100.4F) with no other recognized cause |
| Cavitation | Leukopenia (4000 WBC/mm3) or leukocytosis (12,000 WBC/mm3) |
| Pneumatoceles, in infants 1 year old | For adults 70 years old, altered mental status with no other recognized causeand |
| Note: In patients without underlying pulmonary or cardiac disease (eg, respiratory distress syndrome, bronchopulmonary dysplasia, pulmonary edema, or chronic obstructive pulmonary disease), 1 definitive chest radiograph is acceptable.* | |
| At least 2 of the following: | |
| New onset of purulent sputum, or change in character of sputum, or increased respiratory secretions, or increased suctioning requirements | |
| New‐onset or worsening cough or dyspnea or tachypnea‖ | |
| Rales or bronchial breath sounds | |
| Worsening gas exchange (eg, O2 desaturation [eg, PaO2/FiO2 240],** increased oxygen requirement, or increased ventilation demand) | |
|
Any laboratory criterion from Table 2 |
|
| ALTERNATE CRITERIA FOR INFANTS 1 YEAR OLD | |
| Worsening gas exchange (eg, O2 desaturation, increased ventilation demand or O2 requirement) | |
| and | |
| At least 3 of the following: | |
| Temperature instability with no other recognized cause | |
| Leukopenia (4000 WBC/mm3) or leukocytosis (15,000 WBC/mm3) and left shift (10% bands) | |
| New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
| Apnea, tachypnea,‖ nasal flaring with retraction of chest wall, or grunting | |
| Wheezing, rales, or rhonchi | |
| Cough | |
| Bradycadia (100 beats/min) or tachycardia (>170 beats/min) | |
| ALTERNATE CRITERIA FOR CHILD >1 OR 12 YEARS OLD | |
| At least 3 of the following: | |
| Fever (>38.4C or >101.1F) or hypothermia (36.5C or 97.7F) with no other recognized cause | |
| Leukopenia (4000 WBC/mm3) or leukocytosis (15,000 WBC/mm3) | |
| New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
| New‐onset or worsening cough or dyspnea, apnea, or tachypnea‖ | |
| Rales or bronchial breath sounds | |
| Worsening gas exchange (eg, O2 desaturation 94%, increased ventilation demand or O2 requirement) | |
|
Any laboratory criterion from Table 2 |
|
| ALTERNATE CRITERIA FOR IMMUNOCOMPROMISED PATIENTS*** | |
| At least 1 of the following: | |
| Fever (>38.4C or >101.1F) with no other recognized cause | |
| For adults > 70 years old, altered mental status with no other recognized cause | |
| New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
| New‐onset or worsening cough, dyspnea, or tachypnea‖ | |
| Rales or bronchial breath sounds | |
| Worsening gas exchange (eg, O2 desaturation [eg, PaO2/FiO2 240],** increased oxygen requirement, or increased ventilation demand) | |
| Hemoptysis | |
| Pleuritic chest pain | |
| Matching positive blood and sputum cultures with Candida spp. | |
| Evidence of fungi or Pneumocytis from minimally contaminated LRT specimen (eg, BAL or protected specimen brushing) from 1 of the following: | |
| Direct microscopic exam | |
| Positive culture of fungi | |
|
Any laboratory criterion from Table 2 |
|
|
| Positive growth in blood culture* not related to another source of infection |
| Positive growth in culture of pleural fluid |
| Positive quantitative culture from minimally contaminated LRT specimen (eg, BAL) |
| 5% BAL‐obtained cells contain intracellular bacteria on direct microscopic exam (eg, gram stain) |
| Histopathologic exam shows at least 1 of the following: |
| Abscess formation or foci of consolidation with intense PMN accumulation in bronchioles and alveoli |
| Positive quantitative culture of lung parenchyma |
| Evidence of lung parenchyma invasion by fungal hyphae or pseudohyphae |
| Positive culture of virus or Chlamydia from respiratory secretions |
| Positive detection of viral antigen or antibody from respiratory secretions (eg, EIA, FAMA, shell vial assay, PCR) |
| Fourfold rise in paired sera (IgG) for pathogen (eg, influenza viruses, Chlamydia) |
| Positive PCR for Chlamydia or Mycoplasma |
| Positive micro‐IF test for Chlamydia |
| Positive culture or visualization by micro‐IF of Legionella spp. from respiratory secretions or tissue |
| Detection of Legionella pneumophila serogroup 1 antigens in urine by RIA or EIA |
| Fourfold rise in L. pneumophila serogroup 1 antibody titer to 1:128 in paired acute and convalescent sera by indirect IFA |
Etiology
The most commonly isolated VAP pathogens in all patients are bacteria.21 Most of these organisms normally colonize the respiratory and gastrointestinal tracts, but some are unique to health care settings. Tracheal intubation disrupts the body's natural anatomic and physiologic defenses and facilitates easier entry of these pathogens. Typical organisms include Staphylococcus aureus, Pseudomonas aeruginosa, Enterobacter species, Klebsiella pneumoniae, Acinetobacter species, Escherichia coli, and Haemophilus influenzae.22, 23 Unfortunately, the prevalence of antimicrobial resistance among VAP pathogens is increasing.24 Risk factors for antibiotic resistance are common to ICU patients and include recent antibiotics, hemodialysis, nursing home residence, immunosuppression, and chronic wound care.5 Polymicrobial infections are frequently seen in VAP, with up to 50% of all VAP episodes caused by more than 1 organism.25
Viral VAP is rare in immunocompetent hosts, and seasonal outbreaks of influenza and other similar viruses are usually limited to nonventilated patients.26 However, influenza is underrecognized as a potential nosocomial pathogen, and numerous nosocomial outbreaks because of influenza have been reported.2731 Although herpes simplex virus is often detected in the respiratory tract of critically ill patients, its clinical importance remains unclear.32
Fungal VAP is also rare in immunocompetent hosts. On the other hand, pulmonary fungal infections are common in immunocompromised patients, especially following chemotherapy and transplantation. Candida species are often isolated from the airways of normal hosts, but most cases traditionally have been considered clinically unimportant because these organisms are normal oropharyngeal flora and rarely invade lung tissue.33, 34 It is unclear whether recent studies suggesting Candida colonization is associated with a higher risk for Pseudomonas VAP will change this conventional wisdom.3537
Immunocompromised patients with suspected VAP are unique because they are at risk not only for typical bacteria (which are the most common causes of VAP) but also for rarer opportunistic infections and noninfectious processes that mimic pneumonia.3840 While assessing these patients, clinicians must consider the status of the underlying disease, duration and type of immunosuppression, prophylactic regimens, and risk factors for noninfectious causes of pulmonary infiltrates.41 Common opportunistic infections include viruses, mycobacteria, fungi, and Pneumocystis. Noninfectious processes include pulmonary edema, drug toxicity, radiation pneumonitis, engraftment syndrome, bronchiolitis obliterans organizing pneumonia, alveolar proteinosis, transfusion‐related lung injury, alveolar hemorrhage, and progression of underlying disease. In general, diagnosing VAP in the immunocompromised patient requires a prompt, comprehensive, and multidisciplinary approach.38
In preterm and term infants, the most common VAP pathogens are gram‐negative organisms such as E. coli and P. aeruginosa. Other less common pathogens are Enterobacter, Klebsiella, Acinetobacter, Proteus, Citrobacter, and Stenotrophomonas maltophilia.42, 43 Infants with a preceding bloodstream infection or prolonged intubation are more likely to develop VAP.43, 44 Unfortunately, gram‐negative bacteria often colonize the airways of mechanically ventilated infants, and tracheal aspirate culture data are difficult to interpret in this population.42
Children are more likely to develop VAP if they are intubated for more than 48 hours. The most common pathogens isolated from tracheal aspirates in mechanically ventilated children are enteric gram‐negative bacteria, P. aeruginosa, and S. aureus.45, 46 Few studies have precisely delineated the pathogenesis of VAP in the pediatric ICU population.
Overall, the causes of VAP vary by hospital, patient population, and ICU type. Therefore, it is essential that ICU clinicians remain knowledgeable about their local surveillance data.21 Awareness of VAP microbiology is essential for optimizing initial antibiotic therapy and improving outcomes.
Early Versus Late VAP
Distinguishing between early and late VAP is important for initial antibiotic selection because the etiologic pathogens vary between these 2 periods.4749 Early VAP (days 14 of hospitalization) usually involves antibiotic‐sensitive community‐acquired bacteria and carries a better prognosis. In contrast, late VAP (5 days after hospital admission) is more likely to be caused by antibiotic‐resistant nosocomial bacteria that lead to increased morbidity and mortality. All patients who have been hospitalized or have received antibiotics during the prior 90 days should be treated as having late VAP because they are at much higher risk for colonization and infection with antibiotic‐resistant bacteria.47 Of note, 2 recent studies suggest that pathogens in the early and late periods are becoming similar at some institutions.50, 51 Overall, the distinction between early and late VAP is important because it affects the likelihood that a patient has antibiotic‐resistant bacteria. If antibiotic‐resistant pathogens are suspected, initial therapy should include empiric triple antibiotics until culture data are available.
Culturing Approaches
Because clinical criteria alone are rarely able to accurately diagnose VAP,52, 53 clinicians should also obtain a respiratory specimen for microbiologic culture. Despite the convenience of blood cultures, their sensitivity for diagnosing VAP is poor, and they rarely make the diagnosis alone.54 Two methods are available for culturing the lungsan invasive approach (eg, bronchoscopy with bronchoalveolar lavage) and a noninvasive approach (eg, tracheal aspirate).
Some investigators believe that adult patients with suspected VAP should always undergo an invasive sampling of lower‐respiratory‐tract secretions.55 Proponents of the invasive approach cite the frequency with which potential pathogens colonize the trachea of ICU patients and create spurious results on tracheal aspirates.22 In addition, several studies have shown that clinicians are more likely to narrow the spectrum of antibiotics after obtaining an invasive diagnostic sample.56 In other words, the invasive approach has been associated with better antimicrobial stewardship.
Other investigators believe that a noninvasive approach is equally safe and effective for diagnosing VAP.57 This clinical approach involves culturing a tracheal aspirate and using a pneumonia prediction score such as the clinical pulmonary infection score (CPIS; Table 3). The CPIS assigns 012 points based on 6 clinical criteria: fever, leukocyte count, oxygenation, quantity and purulence of secretions, type of radiographic abnormality, and results of sputum gram stain and culture.58 As developed, a CPIS > 6 has a sensitivity of 93% and a specificity of 100% for diagnosing VAP.58 However, the CPIS requires that nurses record sputum volume and that the laboratory stains the specimen. When the CPIS has been modified based on the unavailability of such resources, the results have been less impressive.5961 Despite studies showing that a noninvasive clinical approach can achieve adequate initial antibiotic coverage and reduce overuse of broad‐spectrum agents,62, 63 clinicians who use the CPIS must understand its inherent limitations.
| Criterion | Range | Score |
|---|---|---|
| ||
| Temperature (C) | 36.138.4 | 0 |
| 38.538.9 | 1 | |
| 39 or 36 | 2 | |
| Blood leukocytes (/mm3) | 4000 and 11,000 | 0 |
| 4000 or >11,000 | 1 | |
| + band forms 500 | 2 | |
| Oxygenation: PaO2/FiO2 (mmHg) | >240 or ARDS | 0 |
| 240 and no evidence of ARDS | 2 | |
| Chest radiograph | No infiltrate | 0 |
| Diffuse (or patchy) infiltrate | 1 | |
| Localized infiltrate | 2 | |
| Tracheal secretions | Absence of tracheal secretions | 0 |
| Nonpurulent tracheal secretions | 1 | |
| Purulent tracheal secretions | 2 | |
| Culture of tracheal aspirate | Pathogenic bacteria culture: no growth or light growth | 0 |
| Pathogenic bacteria culture: moderate/heavy growth | 1 | |
| Same pathogenic bacteria seen on gram stain (add 1 point) | 2 | |
A meta‐analysis56 comparing the utility of an invasive versus a noninvasive culturing approach identified 4 randomized trials examining this issue.6669 Overall, an invasive approach did not alter mortality, but patients undergoing bronchoscopy were much more likely to have their antibiotic regimens modified by clinicians. This suggests that the invasive approach may allow more directed use of antibiotics. Recently, the Canadian Critical Care Trials Group conducted a multicenter randomized trial looking at this issue.11 There was no difference between the 2 approaches in mortality, number of ventilator days, and antibiotic usage. However, all patients in this study were immediately treated with empiric broad‐spectrum antibiotics until culture results were available, and the investigators did not have a protocol for stopping antibiotics after culture data were available.
In summary, both invasive and noninvasive culturing approaches are considered acceptable options for diagnosing VAP. Readers interested in learning more about this topic should read the worthwhile Expert Discussion70 by Chastre and colleagues55 at the end of this article. In general, we recommend that ICU clinicians use a combination of clinical suspicion (based on the CPIS or other objective data) and cultures ideally obtained prior to antibiotics. Regardless of the chosen culturing approach, clinicians must recognize that 1 of the most important determinants of patient outcome is prompt administration of adequate initial antibiotics.7175
Initial Antibiotic Administration
Delaying initial antibiotics in VAP increases the risk of death.7175 If a patient receives ineffective initial therapy, a later switch to appropriate therapy does not eliminate the increased mortality risk. Therefore, a comprehensive approach to VAP diagnosis requires consideration of initial empiric antibiotic administration.
Whenever possible, clinicians should obtain a lower respiratory tract sample for microscopy and culture before administering antibiotics because performing cultures after antibiotics have been recently started will lead to a higher rate of false‐negative results.76 Unless the patient has no signs of sepsis and microscopy is completely negative, clinicians should then immediately start empiric broad‐spectrum antibiotics.57 Once the culture sensitivities are known, therapy can be deescalated to a narrower spectrum.77 Recent studies suggest that shorter durations of therapy (8 days) are as effective as longer courses and are associated with lower colonization rates by antibiotic‐resistant bacteria.62, 78
Initial broad‐spectrum antibiotics should be chosen based on local bacteriology and resistance patterns. Clinicians must remain aware of the most common bacterial pathogens in their local community, hospital, and ICU. This is essential for both ensuring adequate initial antibiotic coverage and reducing overall antibiotic days.65 Unrestrained use of broad‐spectrum antibiotics increases the risk of resistant pathogens. Clinicians must continually deescalate therapy and use narrow‐spectrum drugs as pathogens are identified.79
Prevention of VAP
In 2005, the American Thoracic Society published guidelines for the management of adults with VAP.5 These guidelines included a discussion of modifiable risk factors for preventing VAP and used an evidence‐based grading system to rank the various recommendations. The highest evidence (level 1) comes from randomized clinical trials, moderate evidence (level 2) comes from nonrandomized studies, and the lowest evidence (level 3) comes from case studies or expert opinion. Others have also published their own guidelines and recommendations for preventing VAP.8082 Table 4 shows the key VAP preventive strategies.
| Strategy | Level of evidence | References |
|---|---|---|
| ||
| General infection control measures (hand hygiene, staff education, isolate MDR pathogens, etc.) | 1 | 2,83,84 |
| ICU infection surveillance | 2 | 2,8385 |
| Avoid reintubation if possible, but promptly reintubate if a patients inexorably fails extubation | 1 | 2,83,86,87 |
| Use NPPV when appropriate (in selected patients) | 1 | 88 |
| Use oral route for endotracheal and gastric tubes (vs. nasal route) | 2 | 89 |
| Continuous suctioning of subglottic secretions (to avoid pooling on cuff and leakage into LRT) | 1 | 9092 |
| Maintain endotracheal cuff pressure > 20 cm H2O (to prevent secretion leakage into LRT) | 2 | 93 |
| Avoid unnecessary ventilator circuit changes | 1 | 94 |
| Routinely empty condensate in ventilator circuit | 2 | 95 |
| Maintain adequate nursing and therapist staffing | 2 | 9698 |
| Implement ventilator weaning and sedation protocols | 2 | 99101 |
| Semierect patient positioning (vs. supine) | 1 | 102 |
| Avoid aspiration when using enteral nutrition | 1 | 103,104 |
| Topical oral antisepsis (eg, chlorhexidine) | 1 | 105108 |
| Control blood sugar with insulin | 1 | 109 |
| Use heat‐moisture exchanger (vs. conventional humidifier) to reduce tubing condensate | 1 | 95 |
| Avoid unnecessary red blood cell transfusions | 1 | 110 |
| Use of sucralfate for GI prophylaxis | 1 | 111,112 |
| Influenza vaccination for health care workers | 2 | 2 |
Some strategies are not recommended for VAP prevention in general ICU patients. Selective decontamination of the digestive tract (ie, prophylactic oral antibiotics) has been shown to reduce respiratory infections in ICU patients,113 but its overall role remains controversial because of concerns it may increase the incidence of multi‐drug‐resistant pathogens.114 Similarly, prophylactic intravenous antibiotics administered at the time of intubation can reduce VAP in certain patient populations,115 but this strategy is also associated with an increased risk of antibiotic‐resistant nosocomial infections.116 Using kinetic beds and scheduled chest physiotherapy to reduce VAP is based on the premise that critically ill patients often develop atelectasis and cannot effectively clear their secretions. Unfortunately, neither of these modalities has been shown to consistently reduce VAP in medical ICU patients.117119
Algorithms for Diagnosis and Treatment of VAP
We present algorithms for diagnosing VAP in 4 ICU populations: infant (1 year old), pediatric (1‐12 years old), immunocompromised, and adult ICU patients (Figs. 14). Because clinicians face considerable uncertainty when diagnosing VAP, we sought to develop practical algorithms for use in daily ICU practice. Although we provided the algorithms to collaborative participants as a tool for improving care, we never mandated use, and we did not monitor levels of adherence.
Five teaching cases are presented in the Appendix. We demonstrate how to utilize the diagnostic algorithms in these clinical scenarios and offer tips for clinicians wishing to employ these tools in their daily practice. These cases are useful for educating residents, nurses, and hospitalists.
Overall, our intent is that the combined use of these VAP algorithms facilitate a streamlined diagnostic approach and minimize delays in initial antibiotic administration. A primary focus of any VAP guideline should be early and appropriate antibiotics in adequate doses, with deescalation of therapy as culture data permit.5 In general, the greatest risk to a patient with VAP is delaying initial adequate antibiotic coverage, and for this reason, antibiotics must always be administered promptly. However, if culture data are negative, the clinician should consider withdrawing unnecessary antibiotics. For example, the absence of gram‐positive organisms on BAL after 72 hours would strongly suggest that MRSA is not playing a role and that vancomycin can be safely stopped. We agree with Neiderman that the decision point is not whether to start antibiotics, but whether to continue them at day 23.57
DISCUSSION
In this article, we introduce algorithms for diagnosing and managing VAP in infant, pediatric, immunocompromised, and adult ICU patients. We developed 4 algorithms because the hospitals in our system care for a wide range of patients. Our definitions for VAP were based on criteria outlined by the CDC because these rigorously developed criteria have been widely disseminated as components of the Institute for Healthcare Improvement's ventilator bundle.120 Clinicians should be able to easily incorporate these practical algorithms into their current practice.
The algorithms were developed during a collaborative across a large national health care system. We undertook this task because many clinicians were uncertain how to integrate the enormous volume of VAP literature into their daily practice, and we suspected there was large variation in practice in our ICUs. Recent studies from other health care systems provided empiric evidence to support this notion.12, 13
We offer these algorithms as practical tools to assist ICU clinicians and not as proscriptive mandates. We realize that the algorithms may need modification based on a hospital's unique bacteriology and patient populations. We also anticipate that the algorithms will adapt to future changes in VAP epidemiology, preventive strategies, emerging pathogens, and new antibiotics.
Numerous resources are available to learn more about VAP management. An excellent guideline from the Infectious Diseases Society of America and the American Thoracic Society discusses VAP issues in detail,5 although this guideline only focuses on immunocompetent adult patients. The journal Respiratory Care organized an international conference with numerous VAP experts in 2005 and subsequently devoted an entire issue to this topic.81 The Canadian Critical Care Trials Group and the Canadian Critical Care Society conducted systematic reviews and developed separate guidelines for the prevention, diagnosis, and treatment of VAP.80, 121
In summary, we present diagnostic and treatment algorithms for VAP. Our intent is that these algorithms may provide evidence‐based practical guidance to clinicians seeking a standardized approach to diagnosing and managing this challenging problem.
Ventilator‐associated pneumonia (VAP) is a serious and common complication for patients in the intensive care unit (ICU).1 VAP is defined as a pulmonary infection occurring after hospital admission in a mechanically‐ventilated patient with a tracheostomy or endotracheal tube.2, 3 With an attributable mortality that may exceed 20% and an estimated cost of $5000‐$20,000 per episode,49 the management of VAP is an important issue for both patient safety and cost of care.
The diagnosis of VAP is a controversial topic in critical care, primarily because of the difficulty distinguishing between airway colonization, upper respiratory tract infection (eg, tracheobronchitis), and early‐onset pneumonia. Some clinicians insist that an invasive sampling technique (eg, bronchoalveolar lavage) with quantitative cultures is essential for determining the presence of VAP.10 However, other clinicians suggest that a noninvasive approach using qualitative cultures (eg, tracheal suctioning) is an acceptable alternative.11 Regardless, nearly all experts agree that a specimen for microbiologic culture should be obtained prior to initiating antibiotics. Subsequent therapy should then be adjusted according to culture results.
Studies from both Europe and North America have demonstrated considerable variation in the diagnostic approaches used for patients with suspected VAP.12, 13 This variation is likely a result of several factors including controversy about the best diagnostic approach, variation in clinician knowledge and experience, and variation in ICU management protocols. Such practice variability is common for many ICU behaviors.1416 Quality‐of‐care proponents view this variation as an important opportunity for improvement.17
During a recent national collaborative aimed at reducing health careassociated infections in the ICU, we discovered many participants were uncertain about how to diagnose and manage VAP, and considerable practice variability existed among participating hospitals. This uncertainty provided an important opportunity for developing consensus on VAP management. On the basis of diagnostic criteria outlined by the Centers for Disease Control and Prevention (CDC), we developed algorithms as tools for diagnosing VAP in 4 ICU populations: infant, pediatric, immunocompromised, and adult ICU patients. We also developed an algorithm for initial VAP treatment. An interdisciplinary team of experts reviewed the current literature and developed these evidence‐based consensus guidelines. Our intent is that the algorithms provide guidance to clinicians looking for a standardized approach to the diagnosis and management of this complicated clinical situation.
METHODS
Our primary goal was to develop practical algorithms that assist ICU clinicians in the diagnosis and management of VAP during daily practice. To improve the quality and credibility of these algorithms, the development process used a stepwise approach that included assembling an interdisciplinary team of experts, appraising the published evidence, and formulating the algorithms through a consensus process.18
AHRQ National Collaborative
We developed these diagnostic algorithms as part of a national collaborative effort aimed at reducing VAP and central venous catheterrelated bloodstream infections in the ICU. This effort was possible through a 2‐year Partnerships in Implementing Patient Safety grant funded by the Agency for Healthcare Research and Quality (AHRQ).19 The voluntary collaborative was conducted in 61 medical/surgical and children's hospitals across the Hospital Corporation of America (HCA), a company that owns and/or operates 173 hospitals and 107 freestanding surgery centers in 20 states, England, and Switzerland. HCA is one of the largest providers of health care in the United States. All participating hospitals had at least 1 ICU, and a total of 110 ICUs were included in the project. Most hospitals were in the southern or southeastern regions of the United States.
Interdisciplinary Team
We assembled an interdisciplinary team to develop the diagnostic algorithms. Individuals on the team represented the specialties of infectious diseases, infection control, anesthesia, critical care medicine, hospital medicine, critical care nursing, pharmacy, and biostatistics. The development phase occurred over 34 months and used an iterative process that consisted of both group conference calls and in‐person meetings.
Our goal was not to conduct a systematic review but rather to develop practical algorithms for collaborative participants in a timely manner. Our literature search strategy included MEDLINE and the Cochrane Library. We focused on articles that addressed key diagnostic issues, proposed an algorithm, or summarized a topic relevant to practicing clinicians. Extra attention was given to articles that were randomized trials, meta‐analyses, or systematic reviews. No explicit grading of articles was performed. We examined studies with outcomes of interest to clinicians, including mortality, number of ventilator days, length of stay, antibiotic utilization, and antibiotic resistance.
We screened potentially relevant articles and the references of these articles. The search results were reviewed by all members of the team, and an iterative consensus process was used to derive the current algorithms. Preliminary versions of the algorithms were shown to other AHRQ investigators and outside experts in the field, and additional modifications were made based on their feedback. The final algorithms were approved by all study investigators.
RESULTS
Literature Overview
Overall, there is an enormous body of published literature on diagnosing and managing VAP. The Medline database has listed more than 500 articles on VAP diagnosis in the past decade. Nonetheless, the best diagnostic approach remains unclear. The gold standard for diagnosing VAP is lung biopsy with histopathologic examination and tissue culture. However, this procedure is fraught with potential dangers and impractical for most critically ill patients.20 Therefore, practitioners traditionally combine their clinical suspicion (based on fever, leukocytosis, character of sputum, and radiographic changes), epidemiologic data (eg, patient demographics, medical history, and ICU infection surveillance data), and microbiologic data.
Several issues relevant to practicing clinicians deserve further mention.
Definition of VAP
Although early articles used variable criteria for diagnosing VAP, recent studies have traditionally defined VAP as an infection occurring more than 48 hours after hospital admission in a mechanically ventilated patient with a tracheostomy or endotracheal tube.2 In early 2007, the CDC revised their definition for diagnosing VAP.3 These latest criteria state there is no minimum period that the ventilator must be in place in order to diagnose VAP. This important change must be kept in mind when examining future studies.
The term VAP is more specific than the term health careassociated pneumonia. The latter encompasses patients residing in a nursing home or long‐term care facility; hospitalized in an acute care hospital for more than 48 hours in the past 90 days; receiving antibiotics, chemotherapy, or wound care within the past 30 days; or attending a hospital or hemodialysis clinic.
The CDC published detailed criteria for diagnosing VAP in its member hospitals (Tables 1 and 2).3 Because diagnosing VAP in infants, children, elderly, and immunocompromised patients is often confusing because of other conditions with similar signs and symptoms, the CDC published alternate criteria for these populations. A key objective during development of our algorithms was to consolidate and simplify these diagnostic criteria for ICU clinicians.
| Radiology | Signs/symptoms/laboratory |
|---|---|
| |
| Two or more serial chest radiographs with at least 1 of the following*: | CRITERIA FOR ANY PATIENT |
| New or progressive and persistent infiltrate | At least 1 of the following: |
| Consolidation | Fever (>38C or >100.4F) with no other recognized cause |
| Cavitation | Leukopenia (4000 WBC/mm3) or leukocytosis (12,000 WBC/mm3) |
| Pneumatoceles, in infants 1 year old | For adults 70 years old, altered mental status with no other recognized causeand |
| Note: In patients without underlying pulmonary or cardiac disease (eg, respiratory distress syndrome, bronchopulmonary dysplasia, pulmonary edema, or chronic obstructive pulmonary disease), 1 definitive chest radiograph is acceptable.* | |
| At least 2 of the following: | |
| New onset of purulent sputum, or change in character of sputum, or increased respiratory secretions, or increased suctioning requirements | |
| New‐onset or worsening cough or dyspnea or tachypnea‖ | |
| Rales or bronchial breath sounds | |
| Worsening gas exchange (eg, O2 desaturation [eg, PaO2/FiO2 240],** increased oxygen requirement, or increased ventilation demand) | |
|
Any laboratory criterion from Table 2 |
|
| ALTERNATE CRITERIA FOR INFANTS 1 YEAR OLD | |
| Worsening gas exchange (eg, O2 desaturation, increased ventilation demand or O2 requirement) | |
| and | |
| At least 3 of the following: | |
| Temperature instability with no other recognized cause | |
| Leukopenia (4000 WBC/mm3) or leukocytosis (15,000 WBC/mm3) and left shift (10% bands) | |
| New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
| Apnea, tachypnea,‖ nasal flaring with retraction of chest wall, or grunting | |
| Wheezing, rales, or rhonchi | |
| Cough | |
| Bradycadia (100 beats/min) or tachycardia (>170 beats/min) | |
| ALTERNATE CRITERIA FOR CHILD >1 OR 12 YEARS OLD | |
| At least 3 of the following: | |
| Fever (>38.4C or >101.1F) or hypothermia (36.5C or 97.7F) with no other recognized cause | |
| Leukopenia (4000 WBC/mm3) or leukocytosis (15,000 WBC/mm3) | |
| New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
| New‐onset or worsening cough or dyspnea, apnea, or tachypnea‖ | |
| Rales or bronchial breath sounds | |
| Worsening gas exchange (eg, O2 desaturation 94%, increased ventilation demand or O2 requirement) | |
|
Any laboratory criterion from Table 2 |
|
| ALTERNATE CRITERIA FOR IMMUNOCOMPROMISED PATIENTS*** | |
| At least 1 of the following: | |
| Fever (>38.4C or >101.1F) with no other recognized cause | |
| For adults > 70 years old, altered mental status with no other recognized cause | |
| New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
| New‐onset or worsening cough, dyspnea, or tachypnea‖ | |
| Rales or bronchial breath sounds | |
| Worsening gas exchange (eg, O2 desaturation [eg, PaO2/FiO2 240],** increased oxygen requirement, or increased ventilation demand) | |
| Hemoptysis | |
| Pleuritic chest pain | |
| Matching positive blood and sputum cultures with Candida spp. | |
| Evidence of fungi or Pneumocytis from minimally contaminated LRT specimen (eg, BAL or protected specimen brushing) from 1 of the following: | |
| Direct microscopic exam | |
| Positive culture of fungi | |
|
Any laboratory criterion from Table 2 |
|
|
| Positive growth in blood culture* not related to another source of infection |
| Positive growth in culture of pleural fluid |
| Positive quantitative culture from minimally contaminated LRT specimen (eg, BAL) |
| 5% BAL‐obtained cells contain intracellular bacteria on direct microscopic exam (eg, gram stain) |
| Histopathologic exam shows at least 1 of the following: |
| Abscess formation or foci of consolidation with intense PMN accumulation in bronchioles and alveoli |
| Positive quantitative culture of lung parenchyma |
| Evidence of lung parenchyma invasion by fungal hyphae or pseudohyphae |
| Positive culture of virus or Chlamydia from respiratory secretions |
| Positive detection of viral antigen or antibody from respiratory secretions (eg, EIA, FAMA, shell vial assay, PCR) |
| Fourfold rise in paired sera (IgG) for pathogen (eg, influenza viruses, Chlamydia) |
| Positive PCR for Chlamydia or Mycoplasma |
| Positive micro‐IF test for Chlamydia |
| Positive culture or visualization by micro‐IF of Legionella spp. from respiratory secretions or tissue |
| Detection of Legionella pneumophila serogroup 1 antigens in urine by RIA or EIA |
| Fourfold rise in L. pneumophila serogroup 1 antibody titer to 1:128 in paired acute and convalescent sera by indirect IFA |
Etiology
The most commonly isolated VAP pathogens in all patients are bacteria.21 Most of these organisms normally colonize the respiratory and gastrointestinal tracts, but some are unique to health care settings. Tracheal intubation disrupts the body's natural anatomic and physiologic defenses and facilitates easier entry of these pathogens. Typical organisms include Staphylococcus aureus, Pseudomonas aeruginosa, Enterobacter species, Klebsiella pneumoniae, Acinetobacter species, Escherichia coli, and Haemophilus influenzae.22, 23 Unfortunately, the prevalence of antimicrobial resistance among VAP pathogens is increasing.24 Risk factors for antibiotic resistance are common to ICU patients and include recent antibiotics, hemodialysis, nursing home residence, immunosuppression, and chronic wound care.5 Polymicrobial infections are frequently seen in VAP, with up to 50% of all VAP episodes caused by more than 1 organism.25
Viral VAP is rare in immunocompetent hosts, and seasonal outbreaks of influenza and other similar viruses are usually limited to nonventilated patients.26 However, influenza is underrecognized as a potential nosocomial pathogen, and numerous nosocomial outbreaks because of influenza have been reported.2731 Although herpes simplex virus is often detected in the respiratory tract of critically ill patients, its clinical importance remains unclear.32
Fungal VAP is also rare in immunocompetent hosts. On the other hand, pulmonary fungal infections are common in immunocompromised patients, especially following chemotherapy and transplantation. Candida species are often isolated from the airways of normal hosts, but most cases traditionally have been considered clinically unimportant because these organisms are normal oropharyngeal flora and rarely invade lung tissue.33, 34 It is unclear whether recent studies suggesting Candida colonization is associated with a higher risk for Pseudomonas VAP will change this conventional wisdom.3537
Immunocompromised patients with suspected VAP are unique because they are at risk not only for typical bacteria (which are the most common causes of VAP) but also for rarer opportunistic infections and noninfectious processes that mimic pneumonia.3840 While assessing these patients, clinicians must consider the status of the underlying disease, duration and type of immunosuppression, prophylactic regimens, and risk factors for noninfectious causes of pulmonary infiltrates.41 Common opportunistic infections include viruses, mycobacteria, fungi, and Pneumocystis. Noninfectious processes include pulmonary edema, drug toxicity, radiation pneumonitis, engraftment syndrome, bronchiolitis obliterans organizing pneumonia, alveolar proteinosis, transfusion‐related lung injury, alveolar hemorrhage, and progression of underlying disease. In general, diagnosing VAP in the immunocompromised patient requires a prompt, comprehensive, and multidisciplinary approach.38
In preterm and term infants, the most common VAP pathogens are gram‐negative organisms such as E. coli and P. aeruginosa. Other less common pathogens are Enterobacter, Klebsiella, Acinetobacter, Proteus, Citrobacter, and Stenotrophomonas maltophilia.42, 43 Infants with a preceding bloodstream infection or prolonged intubation are more likely to develop VAP.43, 44 Unfortunately, gram‐negative bacteria often colonize the airways of mechanically ventilated infants, and tracheal aspirate culture data are difficult to interpret in this population.42
Children are more likely to develop VAP if they are intubated for more than 48 hours. The most common pathogens isolated from tracheal aspirates in mechanically ventilated children are enteric gram‐negative bacteria, P. aeruginosa, and S. aureus.45, 46 Few studies have precisely delineated the pathogenesis of VAP in the pediatric ICU population.
Overall, the causes of VAP vary by hospital, patient population, and ICU type. Therefore, it is essential that ICU clinicians remain knowledgeable about their local surveillance data.21 Awareness of VAP microbiology is essential for optimizing initial antibiotic therapy and improving outcomes.
Early Versus Late VAP
Distinguishing between early and late VAP is important for initial antibiotic selection because the etiologic pathogens vary between these 2 periods.4749 Early VAP (days 14 of hospitalization) usually involves antibiotic‐sensitive community‐acquired bacteria and carries a better prognosis. In contrast, late VAP (5 days after hospital admission) is more likely to be caused by antibiotic‐resistant nosocomial bacteria that lead to increased morbidity and mortality. All patients who have been hospitalized or have received antibiotics during the prior 90 days should be treated as having late VAP because they are at much higher risk for colonization and infection with antibiotic‐resistant bacteria.47 Of note, 2 recent studies suggest that pathogens in the early and late periods are becoming similar at some institutions.50, 51 Overall, the distinction between early and late VAP is important because it affects the likelihood that a patient has antibiotic‐resistant bacteria. If antibiotic‐resistant pathogens are suspected, initial therapy should include empiric triple antibiotics until culture data are available.
Culturing Approaches
Because clinical criteria alone are rarely able to accurately diagnose VAP,52, 53 clinicians should also obtain a respiratory specimen for microbiologic culture. Despite the convenience of blood cultures, their sensitivity for diagnosing VAP is poor, and they rarely make the diagnosis alone.54 Two methods are available for culturing the lungsan invasive approach (eg, bronchoscopy with bronchoalveolar lavage) and a noninvasive approach (eg, tracheal aspirate).
Some investigators believe that adult patients with suspected VAP should always undergo an invasive sampling of lower‐respiratory‐tract secretions.55 Proponents of the invasive approach cite the frequency with which potential pathogens colonize the trachea of ICU patients and create spurious results on tracheal aspirates.22 In addition, several studies have shown that clinicians are more likely to narrow the spectrum of antibiotics after obtaining an invasive diagnostic sample.56 In other words, the invasive approach has been associated with better antimicrobial stewardship.
Other investigators believe that a noninvasive approach is equally safe and effective for diagnosing VAP.57 This clinical approach involves culturing a tracheal aspirate and using a pneumonia prediction score such as the clinical pulmonary infection score (CPIS; Table 3). The CPIS assigns 012 points based on 6 clinical criteria: fever, leukocyte count, oxygenation, quantity and purulence of secretions, type of radiographic abnormality, and results of sputum gram stain and culture.58 As developed, a CPIS > 6 has a sensitivity of 93% and a specificity of 100% for diagnosing VAP.58 However, the CPIS requires that nurses record sputum volume and that the laboratory stains the specimen. When the CPIS has been modified based on the unavailability of such resources, the results have been less impressive.5961 Despite studies showing that a noninvasive clinical approach can achieve adequate initial antibiotic coverage and reduce overuse of broad‐spectrum agents,62, 63 clinicians who use the CPIS must understand its inherent limitations.
| Criterion | Range | Score |
|---|---|---|
| ||
| Temperature (C) | 36.138.4 | 0 |
| 38.538.9 | 1 | |
| 39 or 36 | 2 | |
| Blood leukocytes (/mm3) | 4000 and 11,000 | 0 |
| 4000 or >11,000 | 1 | |
| + band forms 500 | 2 | |
| Oxygenation: PaO2/FiO2 (mmHg) | >240 or ARDS | 0 |
| 240 and no evidence of ARDS | 2 | |
| Chest radiograph | No infiltrate | 0 |
| Diffuse (or patchy) infiltrate | 1 | |
| Localized infiltrate | 2 | |
| Tracheal secretions | Absence of tracheal secretions | 0 |
| Nonpurulent tracheal secretions | 1 | |
| Purulent tracheal secretions | 2 | |
| Culture of tracheal aspirate | Pathogenic bacteria culture: no growth or light growth | 0 |
| Pathogenic bacteria culture: moderate/heavy growth | 1 | |
| Same pathogenic bacteria seen on gram stain (add 1 point) | 2 | |
A meta‐analysis56 comparing the utility of an invasive versus a noninvasive culturing approach identified 4 randomized trials examining this issue.6669 Overall, an invasive approach did not alter mortality, but patients undergoing bronchoscopy were much more likely to have their antibiotic regimens modified by clinicians. This suggests that the invasive approach may allow more directed use of antibiotics. Recently, the Canadian Critical Care Trials Group conducted a multicenter randomized trial looking at this issue.11 There was no difference between the 2 approaches in mortality, number of ventilator days, and antibiotic usage. However, all patients in this study were immediately treated with empiric broad‐spectrum antibiotics until culture results were available, and the investigators did not have a protocol for stopping antibiotics after culture data were available.
In summary, both invasive and noninvasive culturing approaches are considered acceptable options for diagnosing VAP. Readers interested in learning more about this topic should read the worthwhile Expert Discussion70 by Chastre and colleagues55 at the end of this article. In general, we recommend that ICU clinicians use a combination of clinical suspicion (based on the CPIS or other objective data) and cultures ideally obtained prior to antibiotics. Regardless of the chosen culturing approach, clinicians must recognize that 1 of the most important determinants of patient outcome is prompt administration of adequate initial antibiotics.7175
Initial Antibiotic Administration
Delaying initial antibiotics in VAP increases the risk of death.7175 If a patient receives ineffective initial therapy, a later switch to appropriate therapy does not eliminate the increased mortality risk. Therefore, a comprehensive approach to VAP diagnosis requires consideration of initial empiric antibiotic administration.
Whenever possible, clinicians should obtain a lower respiratory tract sample for microscopy and culture before administering antibiotics because performing cultures after antibiotics have been recently started will lead to a higher rate of false‐negative results.76 Unless the patient has no signs of sepsis and microscopy is completely negative, clinicians should then immediately start empiric broad‐spectrum antibiotics.57 Once the culture sensitivities are known, therapy can be deescalated to a narrower spectrum.77 Recent studies suggest that shorter durations of therapy (8 days) are as effective as longer courses and are associated with lower colonization rates by antibiotic‐resistant bacteria.62, 78
Initial broad‐spectrum antibiotics should be chosen based on local bacteriology and resistance patterns. Clinicians must remain aware of the most common bacterial pathogens in their local community, hospital, and ICU. This is essential for both ensuring adequate initial antibiotic coverage and reducing overall antibiotic days.65 Unrestrained use of broad‐spectrum antibiotics increases the risk of resistant pathogens. Clinicians must continually deescalate therapy and use narrow‐spectrum drugs as pathogens are identified.79
Prevention of VAP
In 2005, the American Thoracic Society published guidelines for the management of adults with VAP.5 These guidelines included a discussion of modifiable risk factors for preventing VAP and used an evidence‐based grading system to rank the various recommendations. The highest evidence (level 1) comes from randomized clinical trials, moderate evidence (level 2) comes from nonrandomized studies, and the lowest evidence (level 3) comes from case studies or expert opinion. Others have also published their own guidelines and recommendations for preventing VAP.8082 Table 4 shows the key VAP preventive strategies.
| Strategy | Level of evidence | References |
|---|---|---|
| ||
| General infection control measures (hand hygiene, staff education, isolate MDR pathogens, etc.) | 1 | 2,83,84 |
| ICU infection surveillance | 2 | 2,8385 |
| Avoid reintubation if possible, but promptly reintubate if a patients inexorably fails extubation | 1 | 2,83,86,87 |
| Use NPPV when appropriate (in selected patients) | 1 | 88 |
| Use oral route for endotracheal and gastric tubes (vs. nasal route) | 2 | 89 |
| Continuous suctioning of subglottic secretions (to avoid pooling on cuff and leakage into LRT) | 1 | 9092 |
| Maintain endotracheal cuff pressure > 20 cm H2O (to prevent secretion leakage into LRT) | 2 | 93 |
| Avoid unnecessary ventilator circuit changes | 1 | 94 |
| Routinely empty condensate in ventilator circuit | 2 | 95 |
| Maintain adequate nursing and therapist staffing | 2 | 9698 |
| Implement ventilator weaning and sedation protocols | 2 | 99101 |
| Semierect patient positioning (vs. supine) | 1 | 102 |
| Avoid aspiration when using enteral nutrition | 1 | 103,104 |
| Topical oral antisepsis (eg, chlorhexidine) | 1 | 105108 |
| Control blood sugar with insulin | 1 | 109 |
| Use heat‐moisture exchanger (vs. conventional humidifier) to reduce tubing condensate | 1 | 95 |
| Avoid unnecessary red blood cell transfusions | 1 | 110 |
| Use of sucralfate for GI prophylaxis | 1 | 111,112 |
| Influenza vaccination for health care workers | 2 | 2 |
Some strategies are not recommended for VAP prevention in general ICU patients. Selective decontamination of the digestive tract (ie, prophylactic oral antibiotics) has been shown to reduce respiratory infections in ICU patients,113 but its overall role remains controversial because of concerns it may increase the incidence of multi‐drug‐resistant pathogens.114 Similarly, prophylactic intravenous antibiotics administered at the time of intubation can reduce VAP in certain patient populations,115 but this strategy is also associated with an increased risk of antibiotic‐resistant nosocomial infections.116 Using kinetic beds and scheduled chest physiotherapy to reduce VAP is based on the premise that critically ill patients often develop atelectasis and cannot effectively clear their secretions. Unfortunately, neither of these modalities has been shown to consistently reduce VAP in medical ICU patients.117119
Algorithms for Diagnosis and Treatment of VAP
We present algorithms for diagnosing VAP in 4 ICU populations: infant (1 year old), pediatric (1‐12 years old), immunocompromised, and adult ICU patients (Figs. 14). Because clinicians face considerable uncertainty when diagnosing VAP, we sought to develop practical algorithms for use in daily ICU practice. Although we provided the algorithms to collaborative participants as a tool for improving care, we never mandated use, and we did not monitor levels of adherence.
Five teaching cases are presented in the Appendix. We demonstrate how to utilize the diagnostic algorithms in these clinical scenarios and offer tips for clinicians wishing to employ these tools in their daily practice. These cases are useful for educating residents, nurses, and hospitalists.
Overall, our intent is that the combined use of these VAP algorithms facilitate a streamlined diagnostic approach and minimize delays in initial antibiotic administration. A primary focus of any VAP guideline should be early and appropriate antibiotics in adequate doses, with deescalation of therapy as culture data permit.5 In general, the greatest risk to a patient with VAP is delaying initial adequate antibiotic coverage, and for this reason, antibiotics must always be administered promptly. However, if culture data are negative, the clinician should consider withdrawing unnecessary antibiotics. For example, the absence of gram‐positive organisms on BAL after 72 hours would strongly suggest that MRSA is not playing a role and that vancomycin can be safely stopped. We agree with Neiderman that the decision point is not whether to start antibiotics, but whether to continue them at day 23.57
DISCUSSION
In this article, we introduce algorithms for diagnosing and managing VAP in infant, pediatric, immunocompromised, and adult ICU patients. We developed 4 algorithms because the hospitals in our system care for a wide range of patients. Our definitions for VAP were based on criteria outlined by the CDC because these rigorously developed criteria have been widely disseminated as components of the Institute for Healthcare Improvement's ventilator bundle.120 Clinicians should be able to easily incorporate these practical algorithms into their current practice.
The algorithms were developed during a collaborative across a large national health care system. We undertook this task because many clinicians were uncertain how to integrate the enormous volume of VAP literature into their daily practice, and we suspected there was large variation in practice in our ICUs. Recent studies from other health care systems provided empiric evidence to support this notion.12, 13
We offer these algorithms as practical tools to assist ICU clinicians and not as proscriptive mandates. We realize that the algorithms may need modification based on a hospital's unique bacteriology and patient populations. We also anticipate that the algorithms will adapt to future changes in VAP epidemiology, preventive strategies, emerging pathogens, and new antibiotics.
Numerous resources are available to learn more about VAP management. An excellent guideline from the Infectious Diseases Society of America and the American Thoracic Society discusses VAP issues in detail,5 although this guideline only focuses on immunocompetent adult patients. The journal Respiratory Care organized an international conference with numerous VAP experts in 2005 and subsequently devoted an entire issue to this topic.81 The Canadian Critical Care Trials Group and the Canadian Critical Care Society conducted systematic reviews and developed separate guidelines for the prevention, diagnosis, and treatment of VAP.80, 121
In summary, we present diagnostic and treatment algorithms for VAP. Our intent is that these algorithms may provide evidence‐based practical guidance to clinicians seeking a standardized approach to diagnosing and managing this challenging problem.
- ,,,.Nosocomial infections in combined medical‐surgical intensive care units in the United States.Infect Control Hosp Epidemiol.2000;21:510–515.
- Centers for Disease Control and Prevention.Guidelines for preventing health‐care—associated pneumonia, 2003: recommendations of CDC and the Healthcare Infection Control Practices Advisory Committee.MMWR Recomm Rep.2004;53:1–36.
- Centers for Disease Control and Prevention. The National Healthcare Safety Network (NHSN) manual: patient safety component protocol (updated May 24,2007). Available at: http://www.cdc.gov/ncidod/dhqp/pdf/nhsn/NHSN_Manual_Patient_Safety_Protocol052407.pdf. Accessed October 1, 2007.
- ,,, et al.Outcome and attributable cost of ventilator‐associated pneumonia among intensive care unit patients in a suburban medical center.Crit Care Med.2003;31:1312–1317.
- ATS.Guidelines for the management of adults with hospital‐acquired, ventilator‐associated, and healthcare‐associated pneumonia.Am J Respir Crit Care Med.2005;171:388–416.
- ,,,.Nosocomial pneumonia in Medicare patients. Hospital costs and reimbursement patterns under the prospective payment system.Arch Intern Med.1991;151:1109–1114.
- ,,,,,.Oral decontamination is cost‐saving in the prevention of ventilator‐associated pneumonia in intensive care units.Crit Care Med.2004;32:126–130.
- ,,,.Clinical and economic consequences of ventilator‐associated pneumonia: a systematic review.Crit Care Med.2005;33:2184–2193.
- .Cost‐effectiveness issues in ventilator‐associated pneumonia.Respir Care.2005;50:956–963; discussion 963–964.
- .Diagnosis and treatment of ventilator‐associated pneumonia: fiberoptic bronchoscopy with bronchoalveolar lavage is essential.Semin Respir Crit Care Med.2006;27:34–44.
- ,,,.A randomized trial of diagnostic techniques for ventilator‐associated pneumonia.N Engl J Med.2006;355:2619–2630.
- ,,, et al.Clinical characteristics and treatment patterns among patients with ventilator‐associated pneumonia.Chest.2006;129:1210–1218.
- ,,,.Prevention and diagnosis of ventilator‐associated pneumonia: a survey on current practices in Southern Spanish ICUs.Chest.2005;128:1667–1673.
- ,,, et al.Why don't physicians follow clinical practice guidelines? A framework for improvement.JAMA.1999;282:1458–1465.
- ,,,,,.Why do physicians not follow evidence‐based guidelines for preventing ventilator‐associated pneumonia?: a survey based on the opinions of an international panel of intensivists.Chest.2002;122:656–661.
- ,,, et al.Invitation to a dialogue between researchers and clinicians about evidence‐based behavioral medicine.Ann Behav Med.2005;30:125–137.
- ,,.Connections between quality measurement and improvement.Med Care.2003;41:I30–I38.
- ,,,,.Practice guidelines developed by specialty societies: the need for a critical appraisal.Lancet.2000;355:103–106.
- Agency for Healthcare Research and Quality (AHRQ). Partnerships in Implementing Patient Safety. Online at http://www.ahrq.gov/qual/pips.htm. Accessed March 1,2007.
- ,.The utility of open lung biopsy in patients requiring mechanical ventilation.Chest.1999;115:811–817.
- .The microbiology of ventilator‐associated pneumonia.Respir Care.2005;50:742–763; discussion 763–765.
- ,.Ventilator‐associated pneumonia.Am J Respir Crit Care Med.2002;165:867–903.
- ,.Overview of nosocomial infections caused by gram‐negative bacilli.Clin Infect Dis.2005;41:848–854.
- .Increasing prevalence of antimicrobial resistance in intensive care units.Crit Care Med.2001;29:N64–N68.
- ,,, et al.Incidence and outcome of polymicrobial ventilator‐associated pneumonia.Chest.2002;121:1618–1623.
- ,,.Nosocomial transmission of influenza.Occup Med (Lond).2002;52:249–253.
- ,.Nosocomial influenza at a Canadian pediatric hospital from 1995 to 1999: opportunities for prevention.Infect Control Hosp Epidemiol.2002;23:627–629.
- ,Nosocomial influenza infection as a cause of intercurrent fevers in infants.Pediatrics.1975;55:673–677.
- ,.Nosocomial influenza infection.Lancet.2000;355:1187.
- ,,.Nosocomial influenza B virus infection in the elderly.Ann Intern Med.1982;96:153–158.
- ,,,,,.Influenza vaccination of healthcare workers and vaccine allocation for healthcare workers during vaccine shortages.Infect Control Hosp Epidemiol.2005;26:882–890.
- ,,, et al.Herpes simplex virus in the respiratory tract of critical care patients: a prospective study.Lancet.2003;362:1536–1541.
- ,,, et al.Significance of the isolation of Candida species from respiratory samples in critically ill, non‐neutropenic patients. An immediate postmortem histologic study.Am J Respir Crit Care Med.1997;156:583–590.
- ,,,,,.The role of Candida sp isolated from bronchoscopic samples in nonneutropenic patients.Chest.1998;114:146– 149.
- ,.Pseudomonas‐Candida interactions: an ecological role for virulence factors.Science.2002;296:2229–2232.
- ,,, et al.Candida colonization of the respiratory tract and subsequent pseudomonas ventilator‐associated pneumonia.Chest.2006;129:110–117.
- ,,, et al.Impact of antifungal treatment on Candida‐Pseudomonas interaction: a preliminary retrospective case‐control study.Intensive Care Med.2007;33:137–142.
- ,,.Pulmonary infiltrates in the non‐HIV‐infected immunocompromised patient: etiologies, diagnostic strategies, and outcomes.Chest.2004;125:260–271.
- ,,.Pulmonary complications of solid organ and hematopoietic stem cell transplantation.Am J Respir Crit Care Med.2004;170:22–48.
- ,,, et al.Incidence, outcome, and risk factors of late‐onset noninfectious pulmonary complications after unrelated donor stem cell transplantation.Bone Marrow Transplant.2004;33:751–758.
- ,.Infection in organ‐transplant recipients.N Engl J Med.1998;338:1741–1751.
- ,,,,.Surveillance of ventilator‐associated pneumonia in very‐low‐birth‐weight infants.Am J Infect Control.2002;30:32–39.
- ,,,,.Ventilator‐associated pneumonia in extremely preterm neonates in a neonatal intensive care unit: characteristics, risk factors, and outcomes.Pediatrics.2003;112:1283–1289.
- ,,.Risk factors for nosocomial infection in a high‐risk nursery.Infect Control Hosp Epidemiol.2000;21:250–251.
- .Pediatric ventilator‐associated pneumonia.Pediatr Infect Dis J.2003;22:445–446.
- ,,.Ventilator‐associated pneumonia in pediatric intensive care unit patients: risk factors and outcomes.Pediatrics.2002;109:758–764.
- ,,, et al.Ventilator‐associated pneumonia caused by potentially drug‐resistant bacteria.Am J Respir Crit Care Med.1998;157:531–539.
- ,,.Pneumonia in intubated trauma patients. Microbiology and outcomes.Am J Respir Crit Care Med.1996;153:343–349.
- ,,,,.Pneumonia due to Haemophilus influenzae among mechanically ventilated patients. Incidence, outcome, and risk factors.Chest.1992;102:1562–1565.
- ,,, et al.Both early‐onset and late‐onset ventilator‐associated pneumonia are caused mainly by potentially multiresistant bacteria.Intensive Care Med2005;31:1488–1494.
- ,,,.A comparative analysis of patients with early‐onset vs late‐onset nosocomial pneumonia in the ICU setting.Chest.2000;117:1434–1442.
- .Diagnosis of ventilator‐associated pneumonia.Curr Opin Crit Care.2003;9:397–402.
- ,.Use and limitations of clinical and radiologic diagnosis of pneumonia.Semin Respir Infect.2003;18:72–79.
- ,,, et al.Blood cultures have limited value in predicting severity of illness and as a diagnostic tool in ventilator‐associated pneumonia.Chest.1999;116:1075–1084.
- ,,.The invasive (quantitative) diagnosis of ventilator‐associated pneumonia.Respir Care.2005;50:797–807.
- ,,,.Invasive approaches to the diagnosis of ventilator‐associated pneumonia: a meta‐analysis.Crit Care Med.2005;33:46– 53.
- .The clinical diagnosis of ventilator‐associated pneumonia.Respir Care.2005;50:788–796; discussion 807–812.
- ,,,,,.Diagnosis of ventilator‐associated pneumonia by bacteriologic analysis of bronchoscopic and nonbronchoscopic “blind” bronchoalveolar lavage fluid.Am Rev Respir Dis.1991;143:1121–1129.
- ,,,,,.Diagnosing pneumonia during mechanical ventilation: the clinical pulmonary infection score revisited.Am J Respir Crit Care Med.2003;168:173–179.
- ,,,,,.The diagnosis of ventilator‐associated pneumonia using non‐bronchoscopic, non‐directed lung lavages.Intensive Care Med.2000;26:20–30.
- ,,, et al.Clinical pulmonary infection score for ventilator‐associated pneumonia: accuracy and inter‐observer variability.Intensive Care Med.2004;30:217–224.
- ,,,.A randomized controlled trial of an antibiotic discontinuation policy for clinically suspected ventilator‐associated pneumonia.Chest.2004;125:1791–1799.
- ,,, et al.Early antibiotic treatment for BAL‐confirmed ventilator‐associated pneumonia: a role for routine endotracheal aspirate cultures.Chest.2005;127:589–597.
- ,,,,.Short‐course empiric antibiotic therapy for patients with pulmonary infiltrates in the intensive care unit. A proposed solution for indiscriminate antibiotic prescription.Am J Respir Crit Care Med.2000;162:505–511.
- ,,,,,.Experience with a clinical guideline for the treatment of ventilator‐associated pneumonia.Crit Care Med.2001;29:1109–1115.
- ,,, et al.Impact of invasive and noninvasive quantitative culture sampling on outcome of ventilator‐associated pneumonia: a pilot study.Am J Respir Crit Care Med.1998;157:371–376.
- ,,, et al.Noninvasive versus invasive microbial investigation in ventilator‐associated pneumonia: evaluation of outcome.Am J Respir Crit Care Med.2000;162:119–125.
- ,,,,.Impact of quantitative invasive diagnostic techniques in the management and outcome of mechanically ventilated patients with suspected pneumonia.Crit Care Med.2000;28:2737–2741.
- ,,, et al.Invasive and noninvasive strategies for management of suspected ventilator‐associated pneumonia. A randomized trial.Ann Intern Med.2000;132:621–630.
- ,,.Expert discussion: The invasive (quantitative) diagnosis of ventilator‐associated pneumonia.Respir Care.2005;50:807–812.
- ,,, et al.Impact of BAL data on the therapy and outcome of ventilator‐associated pneumonia.Chest.1997;111:676–685.
- ,,,.Impact of appropriateness of initial antibiotic therapy on the outcome of ventilator‐associated pneumonia.Intensive Care Med.2001;27:355–362.
- ,,,,.Clinical importance of delays in the initiation of appropriate antibiotic treatment for ventilator‐associated pneumonia.Chest.2002;122:262–268.
- ,,, et al.Appropriateness and delay to initiate therapy in ventilator‐associated pneumonia.Eur Respir J.2006;27:158–164.
- .The importance of appropriate initial antibiotic therapy for hospital‐acquired infections.Am J Med.2003;115:582–584.
- ,,, et al.Diagnostic accuracy of protected specimen brush and bronchoalveolar lavage in nosocomial pneumonia: impact of previous antimicrobial treatments.Crit Care Med.1998;26:236–244.
- ,,, et al.De‐escalation therapy in ventilator‐associated pneumonia.Crit Care Med.2004;32:2183–2190.
- ,,, et al.Comparison of 8 vs 15 days of antibiotic therapy for ventilator‐associated pneumonia in adults: a randomized trial.JAMA.2003;290:2588–2598.
- .De‐escalation therapy in ventilator‐associated pneumonia.Curr Opin Crit Care.2006;12:452–457.
- ,,, et al.Evidence‐based clinical practice guideline for the prevention of ventilator‐associated pneumonia.Ann Intern Med.2004;141:305–313.
- .Conference summary: ventilator‐associated pneumonia.Respir Care.2005;50:975–983.
- ,,.Prevention of ventilator‐associated pneumonia: an evidence‐based systematic review.Ann Intern Med.2003;138:494–501.
- .The prevention of ventilator‐associated pneumonia.N Engl J Med.1999;340:627–634.
- .Epidemiology and control of nosocomial infections in adult intensive care units.Am J Med.1991;91:179S–184S.
- ,,, et al.Effectiveness of a hospital‐wide programme to improve compliance with hand hygiene. Infection Control Programme.Lancet.2000;356:1307–1312.
- ,,, et al.Re‐intubation increases the risk of nosocomial pneumonia in patients needing mechanical ventilation.Am J Respir Crit Care Med.1995;152:137–41.
- ,,,,,.Nosocomial pneumonia. A multivariate analysis of risk and prognosis.Chest.1988;93:318–324.
- ,,, et al.Association of noninvasive ventilation with nosocomial infections and survival in critically ill patients.JAMA.2000;284:2361–2367.
- ,,, et al.Risk factors and clinical relevance of nosocomial maxillary sinusitis in the critically ill.Am J Respir Crit Care Med.1994;150:776–783.
- ,,.Prevention measures for ventilator‐associated pneumonia: a new focus on the endotracheal tube.Curr Opin Infect Dis.2007;20:190–197.
- ,,,.A randomized clinical trial of intermittent subglottic secretion drainage in patients receiving mechanical ventilation.Chest.2002;121:858–862.
- ,,, et al.Continuous aspiration of subglottic secretions in preventing ventilator‐associated pneumonia.Ann Intern Med.1995;122:179–186.
- ,,,,,.Pneumonia in intubated patients: role of respiratory airway care.Am J Respir Crit Care Med.1996;154:111–115.
- ,,, et al.Mechanical ventilation with or without 7‐day circuit changes. A randomized controlled trial.Ann Intern Med.1995;123:168–174.
- ,,.Contaminated condensate in mechanical ventilator circuits. A risk factor for nosocomial pneumonia?Am Rev Respir Dis.1984;129:625–628.
- ,,,,.Outbreak of Enterobacter cloacae related to understaffing, overcrowding, and poor hygiene practices.Infect Control Hosp. Epidemiol.1999;20:598–603.
- ,,,,.Nursing resources: a major determinant of nosocomial infection?Curr Opin Infect Dis.2004;17:329–333.
- ,,,,.Nurse‐staffing levels and the quality of care in hospitals.N Engl J Med.2002;346:1715–1722.
- ,,, et al.Effect on the duration of mechanical ventilation of identifying patients capable of breathing spontaneously.N Engl J Med.1996;335:1864–1869.
- ,,, et al.A randomized, controlled trial of protocol‐directed versus physician‐directed weaning from mechanical ventilation.Crit Care Med.1997;25:567–574.
- ,,,.Daily interruption of sedative infusions in critically ill patients undergoing mechanical ventilation.N Engl J Med.2000;342:1471–1477.
- ,,,,,.Supine body position as a risk factor for nosocomial pneumonia in mechanically ventilated patients: a randomised trial.Lancet.1999;354:1851–1858.
- ,,, et al.Early versus late enteral feeding of mechanically ventilated patients: results of a clinical trial.JPEN J Parenter Enteral Nutr.2002;26:174–181.
- ,,,.Optimizing the benefits and minimizing the risks of enteral nutrition in the critically ill: role of small bowel feeding.JPEN J Parenter Enteral Nutr.2002;26:S51–S55; discussion S56–S57.
- ,,,.Oral decontamination for prevention of pneumonia in mechanically ventilated adults: systematic review and meta‐analysis.BMJ.2007;334:889.
- ,.Topical chlorhexidine for prevention of ventilator‐associated pneumonia: a meta‐analysis.Crit Care Med.2007;35:595–602.
- ,,, et al.Oral decontamination with chlorhexidine reduces the incidence of ventilator‐associated pneumonia.Am J Respir Crit Care Med.2006;173:1348–1355.
- ,.Efficacy of oral chlorhexidine in preventing lower respiratory tract infections. Meta‐analysis of randomized controlled trials.J Hosp Infect.2007;66:207– 216.
- ,,, et al.Intensive insulin therapy in the critically ill patients.N Engl J Med.2001;345:1359–1367.
- ,,,.Red blood cell transfusion and ventilator‐associated pneumonia: A potential link?Crit Care Med.2004;32:666–674.
- ,,, et al.A comparison of sucralfate and ranitidine for the prevention of upper gastrointestinal bleeding in patients requiring mechanical ventilation. Canadian Critical Care Trials Group.N Engl J Med.1998;338:791–797.
- ,,, et al.Nosocomial pneumonia in intubated patients given sucralfate as compared with antacids or histamine type 2 blockers. The role of gastric colonization.N Engl J Med.1987;317:1376–1382.
- ,,,,.Antibiotic prophylaxis to reduce respiratory tract infections and mortality in adults receiving intensive care.Cochrane Database Syst Rev.2004:CD000022.
- ,.Selective decontamination of the digestive tract: cumulating evidence, at last?Semin Respir Crit Care Med.2006;27:18–22.
- ,,,,,.Protective effect of intravenously administered cefuroxime against nosocomial pneumonia in patients with structural coma.Am J Respir Crit Care Med.1997;155:1729–1734.
- ,,,,,.Prophylactic antibiotics adversely affect nosocomial pneumonia in trauma patients.J Trauma.2003;55:249–254.
- ,.Kinetic therapy in critically ill trauma patients.Clin Intensive Care.1992;3:248–252.
- ,,,,.Continuous oscillation: outcome in critically ill patients.JCrit Care.1995;10:97–103.
- ,,,.Kinetic bed therapy to prevent nosocomial pneumonia in mechanically ventilated patients: a systematic review and meta‐analysis.Crit Care.2006;10:R70.
- ,,,.The 100,000 lives campaign: setting a goal and a deadline for improving health care quality.JAMA.2006;295:324–327.
- Zap the VAP. Available at: http://www.zapthevap.com. Accessed March 1,2007.
- .Aspiration pneumonitis and aspiration pneumonia.N Engl J Med.2001;344:665–671.
- ,,,.Nosocomial infections in combined medical‐surgical intensive care units in the United States.Infect Control Hosp Epidemiol.2000;21:510–515.
- Centers for Disease Control and Prevention.Guidelines for preventing health‐care—associated pneumonia, 2003: recommendations of CDC and the Healthcare Infection Control Practices Advisory Committee.MMWR Recomm Rep.2004;53:1–36.
- Centers for Disease Control and Prevention. The National Healthcare Safety Network (NHSN) manual: patient safety component protocol (updated May 24,2007). Available at: http://www.cdc.gov/ncidod/dhqp/pdf/nhsn/NHSN_Manual_Patient_Safety_Protocol052407.pdf. Accessed October 1, 2007.
- ,,, et al.Outcome and attributable cost of ventilator‐associated pneumonia among intensive care unit patients in a suburban medical center.Crit Care Med.2003;31:1312–1317.
- ATS.Guidelines for the management of adults with hospital‐acquired, ventilator‐associated, and healthcare‐associated pneumonia.Am J Respir Crit Care Med.2005;171:388–416.
- ,,,.Nosocomial pneumonia in Medicare patients. Hospital costs and reimbursement patterns under the prospective payment system.Arch Intern Med.1991;151:1109–1114.
- ,,,,,.Oral decontamination is cost‐saving in the prevention of ventilator‐associated pneumonia in intensive care units.Crit Care Med.2004;32:126–130.
- ,,,.Clinical and economic consequences of ventilator‐associated pneumonia: a systematic review.Crit Care Med.2005;33:2184–2193.
- .Cost‐effectiveness issues in ventilator‐associated pneumonia.Respir Care.2005;50:956–963; discussion 963–964.
- .Diagnosis and treatment of ventilator‐associated pneumonia: fiberoptic bronchoscopy with bronchoalveolar lavage is essential.Semin Respir Crit Care Med.2006;27:34–44.
- ,,,.A randomized trial of diagnostic techniques for ventilator‐associated pneumonia.N Engl J Med.2006;355:2619–2630.
- ,,, et al.Clinical characteristics and treatment patterns among patients with ventilator‐associated pneumonia.Chest.2006;129:1210–1218.
- ,,,.Prevention and diagnosis of ventilator‐associated pneumonia: a survey on current practices in Southern Spanish ICUs.Chest.2005;128:1667–1673.
- ,,, et al.Why don't physicians follow clinical practice guidelines? A framework for improvement.JAMA.1999;282:1458–1465.
- ,,,,,.Why do physicians not follow evidence‐based guidelines for preventing ventilator‐associated pneumonia?: a survey based on the opinions of an international panel of intensivists.Chest.2002;122:656–661.
- ,,, et al.Invitation to a dialogue between researchers and clinicians about evidence‐based behavioral medicine.Ann Behav Med.2005;30:125–137.
- ,,.Connections between quality measurement and improvement.Med Care.2003;41:I30–I38.
- ,,,,.Practice guidelines developed by specialty societies: the need for a critical appraisal.Lancet.2000;355:103–106.
- Agency for Healthcare Research and Quality (AHRQ). Partnerships in Implementing Patient Safety. Online at http://www.ahrq.gov/qual/pips.htm. Accessed March 1,2007.
- ,.The utility of open lung biopsy in patients requiring mechanical ventilation.Chest.1999;115:811–817.
- .The microbiology of ventilator‐associated pneumonia.Respir Care.2005;50:742–763; discussion 763–765.
- ,.Ventilator‐associated pneumonia.Am J Respir Crit Care Med.2002;165:867–903.
- ,.Overview of nosocomial infections caused by gram‐negative bacilli.Clin Infect Dis.2005;41:848–854.
- .Increasing prevalence of antimicrobial resistance in intensive care units.Crit Care Med.2001;29:N64–N68.
- ,,, et al.Incidence and outcome of polymicrobial ventilator‐associated pneumonia.Chest.2002;121:1618–1623.
- ,,.Nosocomial transmission of influenza.Occup Med (Lond).2002;52:249–253.
- ,.Nosocomial influenza at a Canadian pediatric hospital from 1995 to 1999: opportunities for prevention.Infect Control Hosp Epidemiol.2002;23:627–629.
- ,Nosocomial influenza infection as a cause of intercurrent fevers in infants.Pediatrics.1975;55:673–677.
- ,.Nosocomial influenza infection.Lancet.2000;355:1187.
- ,,.Nosocomial influenza B virus infection in the elderly.Ann Intern Med.1982;96:153–158.
- ,,,,,.Influenza vaccination of healthcare workers and vaccine allocation for healthcare workers during vaccine shortages.Infect Control Hosp Epidemiol.2005;26:882–890.
- ,,, et al.Herpes simplex virus in the respiratory tract of critical care patients: a prospective study.Lancet.2003;362:1536–1541.
- ,,, et al.Significance of the isolation of Candida species from respiratory samples in critically ill, non‐neutropenic patients. An immediate postmortem histologic study.Am J Respir Crit Care Med.1997;156:583–590.
- ,,,,,.The role of Candida sp isolated from bronchoscopic samples in nonneutropenic patients.Chest.1998;114:146– 149.
- ,.Pseudomonas‐Candida interactions: an ecological role for virulence factors.Science.2002;296:2229–2232.
- ,,, et al.Candida colonization of the respiratory tract and subsequent pseudomonas ventilator‐associated pneumonia.Chest.2006;129:110–117.
- ,,, et al.Impact of antifungal treatment on Candida‐Pseudomonas interaction: a preliminary retrospective case‐control study.Intensive Care Med.2007;33:137–142.
- ,,.Pulmonary infiltrates in the non‐HIV‐infected immunocompromised patient: etiologies, diagnostic strategies, and outcomes.Chest.2004;125:260–271.
- ,,.Pulmonary complications of solid organ and hematopoietic stem cell transplantation.Am J Respir Crit Care Med.2004;170:22–48.
- ,,, et al.Incidence, outcome, and risk factors of late‐onset noninfectious pulmonary complications after unrelated donor stem cell transplantation.Bone Marrow Transplant.2004;33:751–758.
- ,.Infection in organ‐transplant recipients.N Engl J Med.1998;338:1741–1751.
- ,,,,.Surveillance of ventilator‐associated pneumonia in very‐low‐birth‐weight infants.Am J Infect Control.2002;30:32–39.
- ,,,,.Ventilator‐associated pneumonia in extremely preterm neonates in a neonatal intensive care unit: characteristics, risk factors, and outcomes.Pediatrics.2003;112:1283–1289.
- ,,.Risk factors for nosocomial infection in a high‐risk nursery.Infect Control Hosp Epidemiol.2000;21:250–251.
- .Pediatric ventilator‐associated pneumonia.Pediatr Infect Dis J.2003;22:445–446.
- ,,.Ventilator‐associated pneumonia in pediatric intensive care unit patients: risk factors and outcomes.Pediatrics.2002;109:758–764.
- ,,, et al.Ventilator‐associated pneumonia caused by potentially drug‐resistant bacteria.Am J Respir Crit Care Med.1998;157:531–539.
- ,,.Pneumonia in intubated trauma patients. Microbiology and outcomes.Am J Respir Crit Care Med.1996;153:343–349.
- ,,,,.Pneumonia due to Haemophilus influenzae among mechanically ventilated patients. Incidence, outcome, and risk factors.Chest.1992;102:1562–1565.
- ,,, et al.Both early‐onset and late‐onset ventilator‐associated pneumonia are caused mainly by potentially multiresistant bacteria.Intensive Care Med2005;31:1488–1494.
- ,,,.A comparative analysis of patients with early‐onset vs late‐onset nosocomial pneumonia in the ICU setting.Chest.2000;117:1434–1442.
- .Diagnosis of ventilator‐associated pneumonia.Curr Opin Crit Care.2003;9:397–402.
- ,.Use and limitations of clinical and radiologic diagnosis of pneumonia.Semin Respir Infect.2003;18:72–79.
- ,,, et al.Blood cultures have limited value in predicting severity of illness and as a diagnostic tool in ventilator‐associated pneumonia.Chest.1999;116:1075–1084.
- ,,.The invasive (quantitative) diagnosis of ventilator‐associated pneumonia.Respir Care.2005;50:797–807.
- ,,,.Invasive approaches to the diagnosis of ventilator‐associated pneumonia: a meta‐analysis.Crit Care Med.2005;33:46– 53.
- .The clinical diagnosis of ventilator‐associated pneumonia.Respir Care.2005;50:788–796; discussion 807–812.
- ,,,,,.Diagnosis of ventilator‐associated pneumonia by bacteriologic analysis of bronchoscopic and nonbronchoscopic “blind” bronchoalveolar lavage fluid.Am Rev Respir Dis.1991;143:1121–1129.
- ,,,,,.Diagnosing pneumonia during mechanical ventilation: the clinical pulmonary infection score revisited.Am J Respir Crit Care Med.2003;168:173–179.
- ,,,,,.The diagnosis of ventilator‐associated pneumonia using non‐bronchoscopic, non‐directed lung lavages.Intensive Care Med.2000;26:20–30.
- ,,, et al.Clinical pulmonary infection score for ventilator‐associated pneumonia: accuracy and inter‐observer variability.Intensive Care Med.2004;30:217–224.
- ,,,.A randomized controlled trial of an antibiotic discontinuation policy for clinically suspected ventilator‐associated pneumonia.Chest.2004;125:1791–1799.
- ,,, et al.Early antibiotic treatment for BAL‐confirmed ventilator‐associated pneumonia: a role for routine endotracheal aspirate cultures.Chest.2005;127:589–597.
- ,,,,.Short‐course empiric antibiotic therapy for patients with pulmonary infiltrates in the intensive care unit. A proposed solution for indiscriminate antibiotic prescription.Am J Respir Crit Care Med.2000;162:505–511.
- ,,,,,.Experience with a clinical guideline for the treatment of ventilator‐associated pneumonia.Crit Care Med.2001;29:1109–1115.
- ,,, et al.Impact of invasive and noninvasive quantitative culture sampling on outcome of ventilator‐associated pneumonia: a pilot study.Am J Respir Crit Care Med.1998;157:371–376.
- ,,, et al.Noninvasive versus invasive microbial investigation in ventilator‐associated pneumonia: evaluation of outcome.Am J Respir Crit Care Med.2000;162:119–125.
- ,,,,.Impact of quantitative invasive diagnostic techniques in the management and outcome of mechanically ventilated patients with suspected pneumonia.Crit Care Med.2000;28:2737–2741.
- ,,, et al.Invasive and noninvasive strategies for management of suspected ventilator‐associated pneumonia. A randomized trial.Ann Intern Med.2000;132:621–630.
- ,,.Expert discussion: The invasive (quantitative) diagnosis of ventilator‐associated pneumonia.Respir Care.2005;50:807–812.
- ,,, et al.Impact of BAL data on the therapy and outcome of ventilator‐associated pneumonia.Chest.1997;111:676–685.
- ,,,.Impact of appropriateness of initial antibiotic therapy on the outcome of ventilator‐associated pneumonia.Intensive Care Med.2001;27:355–362.
- ,,,,.Clinical importance of delays in the initiation of appropriate antibiotic treatment for ventilator‐associated pneumonia.Chest.2002;122:262–268.
- ,,, et al.Appropriateness and delay to initiate therapy in ventilator‐associated pneumonia.Eur Respir J.2006;27:158–164.
- .The importance of appropriate initial antibiotic therapy for hospital‐acquired infections.Am J Med.2003;115:582–584.
- ,,, et al.Diagnostic accuracy of protected specimen brush and bronchoalveolar lavage in nosocomial pneumonia: impact of previous antimicrobial treatments.Crit Care Med.1998;26:236–244.
- ,,, et al.De‐escalation therapy in ventilator‐associated pneumonia.Crit Care Med.2004;32:2183–2190.
- ,,, et al.Comparison of 8 vs 15 days of antibiotic therapy for ventilator‐associated pneumonia in adults: a randomized trial.JAMA.2003;290:2588–2598.
- .De‐escalation therapy in ventilator‐associated pneumonia.Curr Opin Crit Care.2006;12:452–457.
- ,,, et al.Evidence‐based clinical practice guideline for the prevention of ventilator‐associated pneumonia.Ann Intern Med.2004;141:305–313.
- .Conference summary: ventilator‐associated pneumonia.Respir Care.2005;50:975–983.
- ,,.Prevention of ventilator‐associated pneumonia: an evidence‐based systematic review.Ann Intern Med.2003;138:494–501.
- .The prevention of ventilator‐associated pneumonia.N Engl J Med.1999;340:627–634.
- .Epidemiology and control of nosocomial infections in adult intensive care units.Am J Med.1991;91:179S–184S.
- ,,, et al.Effectiveness of a hospital‐wide programme to improve compliance with hand hygiene. Infection Control Programme.Lancet.2000;356:1307–1312.
- ,,, et al.Re‐intubation increases the risk of nosocomial pneumonia in patients needing mechanical ventilation.Am J Respir Crit Care Med.1995;152:137–41.
- ,,,,,.Nosocomial pneumonia. A multivariate analysis of risk and prognosis.Chest.1988;93:318–324.
- ,,, et al.Association of noninvasive ventilation with nosocomial infections and survival in critically ill patients.JAMA.2000;284:2361–2367.
- ,,, et al.Risk factors and clinical relevance of nosocomial maxillary sinusitis in the critically ill.Am J Respir Crit Care Med.1994;150:776–783.
- ,,.Prevention measures for ventilator‐associated pneumonia: a new focus on the endotracheal tube.Curr Opin Infect Dis.2007;20:190–197.
- ,,,.A randomized clinical trial of intermittent subglottic secretion drainage in patients receiving mechanical ventilation.Chest.2002;121:858–862.
- ,,, et al.Continuous aspiration of subglottic secretions in preventing ventilator‐associated pneumonia.Ann Intern Med.1995;122:179–186.
- ,,,,,.Pneumonia in intubated patients: role of respiratory airway care.Am J Respir Crit Care Med.1996;154:111–115.
- ,,, et al.Mechanical ventilation with or without 7‐day circuit changes. A randomized controlled trial.Ann Intern Med.1995;123:168–174.
- ,,.Contaminated condensate in mechanical ventilator circuits. A risk factor for nosocomial pneumonia?Am Rev Respir Dis.1984;129:625–628.
- ,,,,.Outbreak of Enterobacter cloacae related to understaffing, overcrowding, and poor hygiene practices.Infect Control Hosp. Epidemiol.1999;20:598–603.
- ,,,,.Nursing resources: a major determinant of nosocomial infection?Curr Opin Infect Dis.2004;17:329–333.
- ,,,,.Nurse‐staffing levels and the quality of care in hospitals.N Engl J Med.2002;346:1715–1722.
- ,,, et al.Effect on the duration of mechanical ventilation of identifying patients capable of breathing spontaneously.N Engl J Med.1996;335:1864–1869.
- ,,, et al.A randomized, controlled trial of protocol‐directed versus physician‐directed weaning from mechanical ventilation.Crit Care Med.1997;25:567–574.
- ,,,.Daily interruption of sedative infusions in critically ill patients undergoing mechanical ventilation.N Engl J Med.2000;342:1471–1477.
- ,,,,,.Supine body position as a risk factor for nosocomial pneumonia in mechanically ventilated patients: a randomised trial.Lancet.1999;354:1851–1858.
- ,,, et al.Early versus late enteral feeding of mechanically ventilated patients: results of a clinical trial.JPEN J Parenter Enteral Nutr.2002;26:174–181.
- ,,,.Optimizing the benefits and minimizing the risks of enteral nutrition in the critically ill: role of small bowel feeding.JPEN J Parenter Enteral Nutr.2002;26:S51–S55; discussion S56–S57.
- ,,,.Oral decontamination for prevention of pneumonia in mechanically ventilated adults: systematic review and meta‐analysis.BMJ.2007;334:889.
- ,.Topical chlorhexidine for prevention of ventilator‐associated pneumonia: a meta‐analysis.Crit Care Med.2007;35:595–602.
- ,,, et al.Oral decontamination with chlorhexidine reduces the incidence of ventilator‐associated pneumonia.Am J Respir Crit Care Med.2006;173:1348–1355.
- ,.Efficacy of oral chlorhexidine in preventing lower respiratory tract infections. Meta‐analysis of randomized controlled trials.J Hosp Infect.2007;66:207– 216.
- ,,, et al.Intensive insulin therapy in the critically ill patients.N Engl J Med.2001;345:1359–1367.
- ,,,.Red blood cell transfusion and ventilator‐associated pneumonia: A potential link?Crit Care Med.2004;32:666–674.
- ,,, et al.A comparison of sucralfate and ranitidine for the prevention of upper gastrointestinal bleeding in patients requiring mechanical ventilation. Canadian Critical Care Trials Group.N Engl J Med.1998;338:791–797.
- ,,, et al.Nosocomial pneumonia in intubated patients given sucralfate as compared with antacids or histamine type 2 blockers. The role of gastric colonization.N Engl J Med.1987;317:1376–1382.
- ,,,,.Antibiotic prophylaxis to reduce respiratory tract infections and mortality in adults receiving intensive care.Cochrane Database Syst Rev.2004:CD000022.
- ,.Selective decontamination of the digestive tract: cumulating evidence, at last?Semin Respir Crit Care Med.2006;27:18–22.
- ,,,,,.Protective effect of intravenously administered cefuroxime against nosocomial pneumonia in patients with structural coma.Am J Respir Crit Care Med.1997;155:1729–1734.
- ,,,,,.Prophylactic antibiotics adversely affect nosocomial pneumonia in trauma patients.J Trauma.2003;55:249–254.
- ,.Kinetic therapy in critically ill trauma patients.Clin Intensive Care.1992;3:248–252.
- ,,,,.Continuous oscillation: outcome in critically ill patients.JCrit Care.1995;10:97–103.
- ,,,.Kinetic bed therapy to prevent nosocomial pneumonia in mechanically ventilated patients: a systematic review and meta‐analysis.Crit Care.2006;10:R70.
- ,,,.The 100,000 lives campaign: setting a goal and a deadline for improving health care quality.JAMA.2006;295:324–327.
- Zap the VAP. Available at: http://www.zapthevap.com. Accessed March 1,2007.
- .Aspiration pneumonitis and aspiration pneumonia.N Engl J Med.2001;344:665–671.
Physician Assistant/Hospitalist Service
Midlevel providers (physician assistants and nurse practitioners) have long been employed by academic medical centers, predominantly on surgical services, or on medical subspecialty services, where they have typically had a limited scope of practice, focused in a narrowly defined area or set of procedures.17 In contrast, there are relatively few reports of experiences deploying midlevel providers to replace house staff on inpatient general medicine services in academic centers,810 and few studies of the effect of midlevel providers on quality and efficiency of care in the academic setting. Despite this, reductions in house officer duty hours as mandated by the Accreditation Council on Graduate Medical Education (ACGME)11 have resulted in academic centers increasingly using midlevel providers to decrease house staff workload on inpatient services.12, 13 In general, midlevel practitioners on general medicine services have been deployed to: (1) care for a population of patients separate from and in parallel with house staff; this population may be narrowly defined (eg, patients with chest pain) or not; (2) assist with the management of patients cared for by house staff by performing certain tasks (eg, scheduling appointments, discharging patients). Even as midlevel providers become more prevalent on academic general medicine services, the best model of care incorporating them into clinical care remains unclear, and few studies have rigorously examined the care provided on services that use them.
We developed an inpatient general medicine service within a large academic medical center staffed by physician assistants and hospitalists to help our residency program meet ACGME duty hour requirements. We hypothesized that by creating a service that is geographically localized and supervised by full‐time hospitalists, by instituting multidisciplinary rounds, and by investing in the professional development of highly‐skilled physician assistants, we could provide care for medically complex, acutely ill general medicine inpatients with similar quality and efficiency as compared to house staff teams. We report our experience during the first year of implementing the service, and compare quality and efficiency of care on this service with that of our traditional house staff services. We also evaluate the effects of this service on patient satisfaction and self‐reported house staff workload.
PATIENTS AND METHODS
Study Setting
The study was conducted in a 747‐bed urban, academic medical center in the northeastern United States. The hospital's human research committee reviewed and approved the study design. The hospital has accredited residency and fellowship programs in all major specialties. Prior to July 2005, physician assistants were employed only on surgical and medical subspecialty services (ie, bone marrow transplant, interventional cardiology); none were employed on the inpatient general medicine service. There were approximately 44,000 inpatient admissions during the year of the study, with approximately 6500 of these to the general medicine service.
Description of the General Medicine Service
The General Medicine Service consisted of 8 traditional house staff teams, with 1 attending, 1 junior or senior resident, 2 interns, and 1 or 2 medical students. These teams admitted patients on a rotating basis every fourth day. On 4 of these teams, the attending was a hospitalist, with clinical responsibility for the majority of the patients admitted to the team. On the remaining 4 teams, the teaching attending was a primary care physician or medical subspecialist, responsible for the direct care of a small number of the team's patients, with the remainder cared for by private primary care physicians or subspecialists.
Description of the Physician Assistant/Hospitalist Service
The Physician Assistant/Clinician Educator (PACE) service opened in July 2005, and consisted of 15 beds localized to 2 adjacent inpatient pods, staffed by a single cadre of nurses and medically staffed by 1 hospitalist and 2 physician assistants from 7:00 AM to 7:00 PM on weekdays and by 1 hospitalist, 1 physician assistant, and 1 moonlighter (usually a senior medical resident or fellow) from 7:00 AM to 7:00 PM on weekends. A moonlighter, typically a senior resident or medical subspecialty fellow, admitted patients and covered nights on the service from 7:00 PM to 7:00 AM 7 days a week. The daily census goal for the service was 15 patients, limited by the number of available beds on the 2 pods, and the service accepted admissions 24 hours per day, 7 days per week, whenever beds were available. Daily morning rounds occurred at 8:00 AM and included the hospitalist, physician assistants, nurses, a care coordinator, and a pharmacist. The PACE service did not have triage guidelines related to diagnosis, complexity, or acuity, but only accepted patients via the emergency department or via a primary care physician's office, and did not accept patients transferred from outside hospitals or from the intensive care units.
Physician Assistants
All of the physician assistants on the PACE service had prior inpatient medicine experience, ranging from 6 months to 5 years. The physician assistants worked in 3‐day to 6‐day blocks of 12‐hour shifts. Their clinical responsibilities were similar to those of interns at the study hospital, and included taking histories and performing physical examinations, writing notes and orders, reviewing and assimilating data, creating and updating patient signouts, completing discharge summaries, consulting other services as needed, and communicating with nurses and family members.
Many physician assistants also had nonclinical responsibilities, taking on physician‐mentored roles in education, quality improvement, and administration. They were involved in several initiatives: (1) developing a physician assistant curriculum in hospital medicine, (2) presenting at hospital‐wide physician assistant grand rounds, (3) surveying and tracking patient and family satisfaction on the service, (4) reviewing all 72‐hour hospital readmissions, intensive care unit transfers, and deaths on the service, and (5) maintaining the service's compliance with state regulations regarding physician assistant scope of practice and prescribing.
Hospitalists
The 3 hospitalists on the PACE service worked in 7‐day blocks of 12‐hour shifts (7:00 AM to 7:00 PM). They directly supervised the physician assistants and had no competing responsibilities. The hospitalists were all recent graduates of the study hospital's internal medicine residency, with no prior clinical experience beyond residency. All were planning to work on the service for 1 to 2 years before beginning a subspecialty fellowship. In addition to supervising the clinical work of the physician assistants, the hospitalists were responsible for teaching the physician assistants on rounds and in weekly didactic sessions, guided by a curriculum in hospital medicine that focused on the most common general medicine diagnoses seen on the PACE service. The medical director of the PACE service periodically reviewed each physician assistant's clinical experience, skills and knowledge base, and held semiannual feedback sessions.
Study Patients
All general medicine patients admitted to the PACE service from July 1, 2005 to June 30, 2006 comprised the study population. The comparison group consisted of general medicine patients admitted to the 8 house staff general medicine teams; patients transferred from an intensive care unit (ICU) or another facility were excluded in order to match the admission criteria for the PACE service and improve comparability between the 2 study arms.
Data Collection and Study Outcomes
We obtained all patient data from the hospital's administrative databases. We identified patients assigned to the PACE service or to the comparison group based on the admitting service, team, and attending. We obtained patient demographics, insurance, admission source and discharge destination, admission and discharge times, dates, diagnoses, and diagnosis‐related groups (DRGs), as well as dates and times of transfers to other services, including to the intensive care unit. We also obtained the Medicare case‐mix index (CMI, based on DRG weight), and calculated a Charlson score based on billing diagnoses coded in the year prior to the index admission.14 Outcomes included length of stay (LOS) to the nearest hour, in‐hospital mortality, transfers to the intensive care unit, readmissions to the study hospital within 72 hours, 14 days, and 30 days, and total costs as derived from the hospital's cost accounting system (Transition Systems Inc., Boston, MA). Other outcomes included patient satisfaction as measured by responses to the Press‐Ganey survey routinely administered to a randomly selected 70% of recently discharged patients and effect on self‐reported resident work hours.
Statistical Analysis
Patient demographics, clinical characteristics, and study outcomes are presented using proportions, means with standard deviations, and medians with inter‐quartile ranges as appropriate. Unadjusted differences in outcomes between the two services were calculated using univariable regression techniques with service as the independent variable and each outcome as the dependent variable. We used logistic regression for dichotomous outcomes (readmissions, ICU transfers, and inpatient mortality), and linear regression for log‐transformed LOS and log‐transformed total costs of care. To adjust each outcome for potential confounders, we then built multivariable regression models. Each potential confounder was entered into the model one at a time as the independent variable. All variables found to be significant predictors of the outcome at the P < 0.10 level were then retained in the final model along with service as the predictor of interest. We used general estimating equations in all multivariable models to adjust for clustering of patients by attending physician. For logistic regression models, the effect size is presented as an odds ratio (OR); for log‐transformed linear regression models, the effect size is presented as the percent difference between groups. We also performed 2 subgroup analyses, limited to (1) the patients with the 10 most common discharge DRGs, and (2) patients admitted between the hours of 7:00 AM and 7:00 PM to remove the effects of moonlighters performing the initial admission. Except as noted above, 2‐sided P values < 0.05 were considered significant. SAS 9.1 (SAS Institute, Cary, NC) was used for all analyses.
RESULTS
Patient Demographics
Table 1 shows patient demographics and clinical characteristics of the PACE service and the comparison group. Patients in the comparison group were slightly older and tended to have slightly higher CMI and Charlson scores. Patients on the PACE service were more likely to be admitted at night (10:00 PM to 7:00 AM; 43.8% versus 30.3%; P < 0.0001). There were no significant differences in sex, race, insurance, or percentage of patients discharged to home. The 10 most common DRGs in the comparison group accounted for 37.0% of discharges, and these same DRGs accounted for 37.5% of discharges on the PACE service (Table 2).
| Characteristic | PACE Service (n = 992) | House Staff Services (n = 4,202) | P value |
|---|---|---|---|
| |||
| Age (years) | |||
| 1844 | 19.1 | 18.2 | |
| 4564 | 35.5 | 31.9 | 0.04 |
| 65+ | 45.5 | 49.9 | |
| Sex (% female) | 57.7 | 60.0 | NS |
| Race/ethnicity | |||
| White | 57.3 | 59.3 | |
| Black | 24.0 | 23.5 | NS |
| Hispanic | 14.1 | 13.3 | |
| Other | 4.6 | 3.9 | |
| Insurance | |||
| Medicare | 41.9 | 43.8 | |
| Commercial | 34.9 | 35.9 | |
| Medicaid | 14.4 | 11.7 | NS |
| Free care | 4.5 | 3.9 | |
| Self pay | 1.1 | 0.8 | |
| Median income by zip code of residence, USD (IQR) | 45,517 (32,49362,932) | 45,517 (35,88963,275) | NS |
| Case‐mix index, median (IQR) | 1.1 (0.81.5) | 1.2 (0.91.8) | 0.001 |
| Charlson score | |||
| 0 | 27.2 | 24.9 | |
| 1 | 22.6 | 21.1 | 0.02 |
| 2 | 16.2 | 16.5 | |
| 3+ | 34.0 | 37.6 | |
| Admissions between 10:00 PM and 7:00 AM | 43.8 | 30.3 | <0.0001 |
| Discharged to home | 81.1 | 80.5 | NS |
| Diagnosis‐Related Group at Discharge | PACE Service (n = 992)* | House Staff Services (n = 4,202)* |
|---|---|---|
| ||
| Chest pain | 5.4 | 6.4 |
| Esophagitis, gastroenteritis, and miscellaneous digestive disorders | 4.5 | 4.4 |
| Heart failure and shock | 3.4 | 4.6 |
| Simple pneumonia and pleurisy | 2.7 | 4.4 |
| Kidney and urinary tract infections | 4.7 | 3.2 |
| Chronic obstructive pulmonary disease | 4.0 | 3.3 |
| Renal failure | 2.7 | 3.5 |
| Gastrointestinal hemorrhage | 3.7 | 2.7 |
| Nutritional and miscellaneous metabolic disorders | 3.3 | 2.4 |
| Disorders of the pancreas except malignancy | 3.1 | 2.1 |
| Cumulative percent | 37.5 | 37.0 |
Efficiency and Quality of Care
Table 3 compares the performance of the PACE service and the comparison group on several efficiency and quality measures. Unadjusted LOS was not significantly different, and adjusted LOS was slightly but not statistically significantly higher on the study service (adjusted LOS 5.0% higher; 95% confidence interval [CI], 0.4% to +10%). Unadjusted and adjusted total costs of care were marginally lower on the study service (adjusted total cost of care 3.9% lower; 95% CI, 7.5% to 0.3%).
| PACE Service | House Staff Services | Unadjusted % Difference (95%CI) | Adjusted % Difference (95%CI)* | |
|---|---|---|---|---|
| PACE Service | House Staff Services | Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |
| ||||
| Efficiency measure | ||||
| Length of stay, days, median (IQR) | 2.6 (1.6, 4.4) | 2.6 (1.4, 4.6) | +0.1% (5.6% to +6.1%) | +5.0% (0.4% to +10.0%) |
| Total costs, USD, median (IQR) | 4,536 (2,848, 7,201) | 4,749 (3,046, 8,161) | 9.1% (14.0% to 3.8%) | 3.9% (7.5% to 0.3%)‖ |
| Quality measure | ||||
| 72‐hour readmissions/100 discharges | 0.8 | 1.3 | 0.6 (0.31.3) | 0.7 (0.21.8) |
| 14‐day readmissions/100 discharges | 5.4 | 5.4 | 1.0 (0.71.4) | 1.1 (0.81.4) |
| 30‐day readmissions/100 discharges | 8.0 | 8.1 | 1.0 (0.81.3) | 1.1 (0.91.3) |
| ICU transfers/100 discharges | 2.0 | 2.3 | 0.9 (0.51.4) | 1.4 (0.82.4)# |
| Inpatient mortality/100 discharges | 0.7 | 1.2 | 0.6 (0.31.3) | 0.8 (0.31.8)** |
We found no differences between the PACE service and comparison group in unadjusted rates of hospital readmissions within 72 hours, 14 days, and 30 days, transfer to the intensive care units, or inpatient mortality (Table 3). The associated ORs for each outcome were similar after adjusting for patient demographics and clinical characteristics including severity of illness, as well as for clustering by attending physician.
Subgroup Analyses
When the analysis was limited to the subset of patients with the 10 most common discharge DRGs, the difference in adjusted total cost of care was similar but lost statistical significance (4.0% lower on PACE service; 95% CI, 11.0% to +3.3%). In this subgroup, LOS, readmission rates, and ICU transfer rates were not different. ORs for mortality could not be calculated because there were no deaths in this subgroup on the PACE service (data not shown). When analysis was limited to daytime admissions (to remove any potential effect of admitting by a moonlighter), the difference in total cost of care was attenuated and lost statistical significance (0.2% lower on PACE service; 95%CI, 5.9% to +5.5%). No differences were seen in LOS, mortality, and ICU transfers (data not shown). However, 14‐day readmissions (but not 72‐hour or 30‐day readmissions) were lower on the PACE service (OR, 0.49; 95% CI, 0.25‐0.93).
Patient Satisfaction
Patients were similarly satisfied with their care on the PACE service and on the house staff services. In specific areas and globally, percentages of patients satisfied with their physicians and with the discharge process were not different, as measured by the Press‐Ganey survey (Press‐Ganey Associates, South Bend, IN; Figures 1 and 2). The survey distinguishes between attendings and residents, but not physician assistants; therefore, Figure 1 only includes responses to the attending questions. Given the sampling procedure of the Press‐Ganey survey, exact response rates cannot be calculated, but Press‐Ganey reports a response rate of about 40% for the English survey and about 20% for the Spanish survey.
Resident Duty Hours
Comparing the same month 1 year prior to implementation of the PACE service, mean self‐reported resident duty hours on the general medicine service were unchanged; however, self‐reported data were incomplete, and multiple changes took place in the residency program during the study period. For example, implementation of the PACE service allowed for the dissolution of one full house staff general medicine team and redistribution of these house staff to night float positions and an expanded medical intensive care unit.
Costs of Implementation
The costs associated with implementing the PACE service included physician and physician assistant salaries (2.5 full‐time physicians, 5 full‐time physician assistants, plus fringe) and night coverage by resident and fellow moonlighters (without fringe, and estimated at 50% effort given other moonlighter coverage responsibilities on subspecialty services). We estimated these costs at $257.50/patient‐day ($115/patient‐day for attending physician compensation, $110/patient‐day for physician assistant compensation, and $32.50/patient‐day for moonlighting coverage).
DISCUSSION
As academic centers struggle with developing a workforce to provide patient care no longer provided by residents, questions about the ideal structure of nonhouse staff inpatient services abound. Although solutions to this problem will be determined to some extent by local factors such as institutional culture and resources, some lessons learned in developing such services will be more widely applicable. We found that by implementing a geographically localized, physician assistant‐staffed hospitalist service, we were able to provide care of similar quality and efficiency to that of traditional house staff services, despite inexperienced hospitalists staffing the service and a medical residency program commonly recognized as one of the best in the country. Adjusted total costs were slightly lower on the PACE service, but this difference was small and of borderline statistical significance. Likewise, no significant differences were seen in any of several quality measures or in patient satisfaction.
Our findings add to the available evidence supporting the use of physician assistants on academic general medicine services, and are germane to academic centers facing reductions in house staff availability and seeking alternative models of care for inpatients. Several specific characteristics of the PACE service and the implications of these should be considered:
The service accepted all patients, regardless of diagnosis, acuity, or complexity of illness. This was unlike many previously described nonhouse staff services which were more limited in scope, and allowed more flexibility with patient flow. However, in the end, patients on the PACE service did have a modestly lower case mix index and Charlson score, suggesting that, despite a lack of triage guidelines, there was some bias in the triage of admissions, possibly due to a perception that physician assistants should take care of lower complexity patients. If it is desirable to have a similar distribution of higher complexity patients across house staff and nonhouse staff services, extra efforts may be necessary to overcome this perception.
The service was geographically regionalized. Geographic regionalization offered many important advantages, especially with regards to communication among staff, nursing, and consultants, and allowed for multidisciplinary rounds. However, it is possible that the modest, but not statistically significant, trend toward an increased LOS seen on the PACE service might be a reflection of geographic admitting (less incentive to discharge since discharging a patient means taking a new admission).
The education and professional development of the physician assistants was a priority. Physician assistants had considerable autonomy and responsibility, and rather than being assigned only lower level administrative tasks, performed all aspects of patient care. They also received regular teaching from the hospitalists, attended house staff teaching conferences, and developed nonclinical roles in education and quality improvement. The higher standards expected of the physician assistants were quite possibly a factor in the quality of care delivered, and almost certainly contributed to physician assistant satisfaction and retention.
Our findings contrast with those of Myers et al.,9 who found that a nonteaching service staffed by hospitalists and nurse practitioners had a significantly lower median LOS and hospital charges compared to similar patients on resident‐based services. However, unlike ours, their service cared for a select patient population, and only accepted patients with chest pain at low risk for acute coronary syndrome. Van Rhee et al.10 found that physician assistants on a general medicine service used fewer resources for patients with pneumonia, stroke, and congestive heart failure than resident physicians, and did not exceed the resources used by residents in other diagnoses. The authors did not find a difference in LOS, but did find a significantly higher mortality among patients with pneumonia cared for by physician assistants.
Several limitations should be noted. First, the study was a retrospective analysis of administrative data rather than a randomized trial, and although we employed a standard approach to adjust for a wide range of patient characteristics including severity of illness, there may have been undetected differences in the patient populations studied that may have confounded our results. Second, resident moonlighters admitted patients to the PACE service and, at other times, to the house staff services, and this may have diluted any differences between the groups. However, when we limited our analysis to the subgroup of patients admitted during the day, similar results were obtained, with the exception that the PACE service had a lower rate of 14‐day readmissions, an unexpected finding deserving of further study. Third, the study was conducted in a single academic institution and our findings may not be generalizable to others with different needs and resources; indeed, the costs associated with implementing such a service may be prohibitive for some institutions. Fourth, because of simultaneous changes that were taking place in our residency program, we are unable to accurately assess the impact of the PACE service on resident duty hours. However, resident duty hours did not increase over this time period on the general medicine service, and implementation of the service allowed for redistribution of house staff to other services and positions. Fifth, patient satisfaction data were obtained from responses to the mailed Press‐Ganey survey, to which there is a relatively low response rate. Also, we did not survey providers regarding their satisfaction with the service during the study period. Sixth, the study had limited power to detect clinically important differences in mortality and ICU transfers. Finally, this study is unable to compare this particular model of incorporating midlevel providers into general medical services with other models, only with traditional house staff services.
Future research should focus on determining the most effective and efficient ways to incorporate midlevel providers on academic general medicine services. One important question from the standpoint of house staff training is whether such services should be separate but equal, or should house staff gain experience during residency working with midlevel providers, since they are likely to encounter them in the future whether they stay in academics or not. Different models of care will likely have large implications for the quality and efficiency of patient care, house staff education and satisfaction, and physician assistant job satisfaction and turnover.
In summary, our study demonstrates that a geographically regionalized, multidisciplinary service staffed by hospitalists and physician assistants can be a safe alternative to house staff‐based services for the care of general medicine inpatients in an academic medical center.
- ,,,,,.The physician's assistant as resident on surgical service. An example of creative problem solving in surgical manpower.Arch Surg.1980;115:310–314.
- ,,,.Coronary arteriography performed by a physician assistant.Am J Cardiol.1987;60:784–787.
- .The specialized physician assistant: an alternative to the clinical cardiology trainee.Am J Cardiol.1987;60:901–902.
- ,,.One hospital's successful 20‐year experience with physician assistants in graduate medical education.Acad Med.1999;74:641–645.
- ,.Physicians assistants in cardiothoracic surgery: a 30‐year experience in a university center.Ann Thorac Surg.2006;81:195–199; discussion 199–200.
- ,,.Comparative review of use of physician assistants in a level I trauma center.Am Surg.2004;70:272–279.
- ,,,,.Integrating midlevel practitioners into a teaching service.Am J Surg.2006;192:119–124.
- ,.Acute care nurse practitioners: creating and implementing a model of care for an inpatient general medical service.Am J Crit Care.2002;11:448–458.
- ,,,,.Improving resource utilization in a teaching hospital: development of a nonteaching service for chest pain admissions.Acad Med.2006;81:432–435.
- ,,.Resource use by physician assistant services versus teaching services.JAAPA.2002;15:33–38.
- ,,, for the ACGME Work Group on Resident Duty Hours, Accreditation Council for Graduate Medical Education.New requirements for resident duty hours.JAMA.2002;288:1112–1114.
- ,,.The substitution of physician assistants and nurse practitioners for physician residents in teaching hospitals.Health Aff.1995;14:181–191.
- ,,,,.Challenges of the 80‐hour resident work rules: collaboration between surgeons and nonphysician practitioners.Surg Clin North Am.2004;84:1573–1586.
- ,,.Adapting a clinical comorbidity index for use with ICD‐9‐CM administrative databases.J Clin Epidemiol.1992;45:613–619.
Midlevel providers (physician assistants and nurse practitioners) have long been employed by academic medical centers, predominantly on surgical services, or on medical subspecialty services, where they have typically had a limited scope of practice, focused in a narrowly defined area or set of procedures.17 In contrast, there are relatively few reports of experiences deploying midlevel providers to replace house staff on inpatient general medicine services in academic centers,810 and few studies of the effect of midlevel providers on quality and efficiency of care in the academic setting. Despite this, reductions in house officer duty hours as mandated by the Accreditation Council on Graduate Medical Education (ACGME)11 have resulted in academic centers increasingly using midlevel providers to decrease house staff workload on inpatient services.12, 13 In general, midlevel practitioners on general medicine services have been deployed to: (1) care for a population of patients separate from and in parallel with house staff; this population may be narrowly defined (eg, patients with chest pain) or not; (2) assist with the management of patients cared for by house staff by performing certain tasks (eg, scheduling appointments, discharging patients). Even as midlevel providers become more prevalent on academic general medicine services, the best model of care incorporating them into clinical care remains unclear, and few studies have rigorously examined the care provided on services that use them.
We developed an inpatient general medicine service within a large academic medical center staffed by physician assistants and hospitalists to help our residency program meet ACGME duty hour requirements. We hypothesized that by creating a service that is geographically localized and supervised by full‐time hospitalists, by instituting multidisciplinary rounds, and by investing in the professional development of highly‐skilled physician assistants, we could provide care for medically complex, acutely ill general medicine inpatients with similar quality and efficiency as compared to house staff teams. We report our experience during the first year of implementing the service, and compare quality and efficiency of care on this service with that of our traditional house staff services. We also evaluate the effects of this service on patient satisfaction and self‐reported house staff workload.
PATIENTS AND METHODS
Study Setting
The study was conducted in a 747‐bed urban, academic medical center in the northeastern United States. The hospital's human research committee reviewed and approved the study design. The hospital has accredited residency and fellowship programs in all major specialties. Prior to July 2005, physician assistants were employed only on surgical and medical subspecialty services (ie, bone marrow transplant, interventional cardiology); none were employed on the inpatient general medicine service. There were approximately 44,000 inpatient admissions during the year of the study, with approximately 6500 of these to the general medicine service.
Description of the General Medicine Service
The General Medicine Service consisted of 8 traditional house staff teams, with 1 attending, 1 junior or senior resident, 2 interns, and 1 or 2 medical students. These teams admitted patients on a rotating basis every fourth day. On 4 of these teams, the attending was a hospitalist, with clinical responsibility for the majority of the patients admitted to the team. On the remaining 4 teams, the teaching attending was a primary care physician or medical subspecialist, responsible for the direct care of a small number of the team's patients, with the remainder cared for by private primary care physicians or subspecialists.
Description of the Physician Assistant/Hospitalist Service
The Physician Assistant/Clinician Educator (PACE) service opened in July 2005, and consisted of 15 beds localized to 2 adjacent inpatient pods, staffed by a single cadre of nurses and medically staffed by 1 hospitalist and 2 physician assistants from 7:00 AM to 7:00 PM on weekdays and by 1 hospitalist, 1 physician assistant, and 1 moonlighter (usually a senior medical resident or fellow) from 7:00 AM to 7:00 PM on weekends. A moonlighter, typically a senior resident or medical subspecialty fellow, admitted patients and covered nights on the service from 7:00 PM to 7:00 AM 7 days a week. The daily census goal for the service was 15 patients, limited by the number of available beds on the 2 pods, and the service accepted admissions 24 hours per day, 7 days per week, whenever beds were available. Daily morning rounds occurred at 8:00 AM and included the hospitalist, physician assistants, nurses, a care coordinator, and a pharmacist. The PACE service did not have triage guidelines related to diagnosis, complexity, or acuity, but only accepted patients via the emergency department or via a primary care physician's office, and did not accept patients transferred from outside hospitals or from the intensive care units.
Physician Assistants
All of the physician assistants on the PACE service had prior inpatient medicine experience, ranging from 6 months to 5 years. The physician assistants worked in 3‐day to 6‐day blocks of 12‐hour shifts. Their clinical responsibilities were similar to those of interns at the study hospital, and included taking histories and performing physical examinations, writing notes and orders, reviewing and assimilating data, creating and updating patient signouts, completing discharge summaries, consulting other services as needed, and communicating with nurses and family members.
Many physician assistants also had nonclinical responsibilities, taking on physician‐mentored roles in education, quality improvement, and administration. They were involved in several initiatives: (1) developing a physician assistant curriculum in hospital medicine, (2) presenting at hospital‐wide physician assistant grand rounds, (3) surveying and tracking patient and family satisfaction on the service, (4) reviewing all 72‐hour hospital readmissions, intensive care unit transfers, and deaths on the service, and (5) maintaining the service's compliance with state regulations regarding physician assistant scope of practice and prescribing.
Hospitalists
The 3 hospitalists on the PACE service worked in 7‐day blocks of 12‐hour shifts (7:00 AM to 7:00 PM). They directly supervised the physician assistants and had no competing responsibilities. The hospitalists were all recent graduates of the study hospital's internal medicine residency, with no prior clinical experience beyond residency. All were planning to work on the service for 1 to 2 years before beginning a subspecialty fellowship. In addition to supervising the clinical work of the physician assistants, the hospitalists were responsible for teaching the physician assistants on rounds and in weekly didactic sessions, guided by a curriculum in hospital medicine that focused on the most common general medicine diagnoses seen on the PACE service. The medical director of the PACE service periodically reviewed each physician assistant's clinical experience, skills and knowledge base, and held semiannual feedback sessions.
Study Patients
All general medicine patients admitted to the PACE service from July 1, 2005 to June 30, 2006 comprised the study population. The comparison group consisted of general medicine patients admitted to the 8 house staff general medicine teams; patients transferred from an intensive care unit (ICU) or another facility were excluded in order to match the admission criteria for the PACE service and improve comparability between the 2 study arms.
Data Collection and Study Outcomes
We obtained all patient data from the hospital's administrative databases. We identified patients assigned to the PACE service or to the comparison group based on the admitting service, team, and attending. We obtained patient demographics, insurance, admission source and discharge destination, admission and discharge times, dates, diagnoses, and diagnosis‐related groups (DRGs), as well as dates and times of transfers to other services, including to the intensive care unit. We also obtained the Medicare case‐mix index (CMI, based on DRG weight), and calculated a Charlson score based on billing diagnoses coded in the year prior to the index admission.14 Outcomes included length of stay (LOS) to the nearest hour, in‐hospital mortality, transfers to the intensive care unit, readmissions to the study hospital within 72 hours, 14 days, and 30 days, and total costs as derived from the hospital's cost accounting system (Transition Systems Inc., Boston, MA). Other outcomes included patient satisfaction as measured by responses to the Press‐Ganey survey routinely administered to a randomly selected 70% of recently discharged patients and effect on self‐reported resident work hours.
Statistical Analysis
Patient demographics, clinical characteristics, and study outcomes are presented using proportions, means with standard deviations, and medians with inter‐quartile ranges as appropriate. Unadjusted differences in outcomes between the two services were calculated using univariable regression techniques with service as the independent variable and each outcome as the dependent variable. We used logistic regression for dichotomous outcomes (readmissions, ICU transfers, and inpatient mortality), and linear regression for log‐transformed LOS and log‐transformed total costs of care. To adjust each outcome for potential confounders, we then built multivariable regression models. Each potential confounder was entered into the model one at a time as the independent variable. All variables found to be significant predictors of the outcome at the P < 0.10 level were then retained in the final model along with service as the predictor of interest. We used general estimating equations in all multivariable models to adjust for clustering of patients by attending physician. For logistic regression models, the effect size is presented as an odds ratio (OR); for log‐transformed linear regression models, the effect size is presented as the percent difference between groups. We also performed 2 subgroup analyses, limited to (1) the patients with the 10 most common discharge DRGs, and (2) patients admitted between the hours of 7:00 AM and 7:00 PM to remove the effects of moonlighters performing the initial admission. Except as noted above, 2‐sided P values < 0.05 were considered significant. SAS 9.1 (SAS Institute, Cary, NC) was used for all analyses.
RESULTS
Patient Demographics
Table 1 shows patient demographics and clinical characteristics of the PACE service and the comparison group. Patients in the comparison group were slightly older and tended to have slightly higher CMI and Charlson scores. Patients on the PACE service were more likely to be admitted at night (10:00 PM to 7:00 AM; 43.8% versus 30.3%; P < 0.0001). There were no significant differences in sex, race, insurance, or percentage of patients discharged to home. The 10 most common DRGs in the comparison group accounted for 37.0% of discharges, and these same DRGs accounted for 37.5% of discharges on the PACE service (Table 2).
| Characteristic | PACE Service (n = 992) | House Staff Services (n = 4,202) | P value |
|---|---|---|---|
| |||
| Age (years) | |||
| 1844 | 19.1 | 18.2 | |
| 4564 | 35.5 | 31.9 | 0.04 |
| 65+ | 45.5 | 49.9 | |
| Sex (% female) | 57.7 | 60.0 | NS |
| Race/ethnicity | |||
| White | 57.3 | 59.3 | |
| Black | 24.0 | 23.5 | NS |
| Hispanic | 14.1 | 13.3 | |
| Other | 4.6 | 3.9 | |
| Insurance | |||
| Medicare | 41.9 | 43.8 | |
| Commercial | 34.9 | 35.9 | |
| Medicaid | 14.4 | 11.7 | NS |
| Free care | 4.5 | 3.9 | |
| Self pay | 1.1 | 0.8 | |
| Median income by zip code of residence, USD (IQR) | 45,517 (32,49362,932) | 45,517 (35,88963,275) | NS |
| Case‐mix index, median (IQR) | 1.1 (0.81.5) | 1.2 (0.91.8) | 0.001 |
| Charlson score | |||
| 0 | 27.2 | 24.9 | |
| 1 | 22.6 | 21.1 | 0.02 |
| 2 | 16.2 | 16.5 | |
| 3+ | 34.0 | 37.6 | |
| Admissions between 10:00 PM and 7:00 AM | 43.8 | 30.3 | <0.0001 |
| Discharged to home | 81.1 | 80.5 | NS |
| Diagnosis‐Related Group at Discharge | PACE Service (n = 992)* | House Staff Services (n = 4,202)* |
|---|---|---|
| ||
| Chest pain | 5.4 | 6.4 |
| Esophagitis, gastroenteritis, and miscellaneous digestive disorders | 4.5 | 4.4 |
| Heart failure and shock | 3.4 | 4.6 |
| Simple pneumonia and pleurisy | 2.7 | 4.4 |
| Kidney and urinary tract infections | 4.7 | 3.2 |
| Chronic obstructive pulmonary disease | 4.0 | 3.3 |
| Renal failure | 2.7 | 3.5 |
| Gastrointestinal hemorrhage | 3.7 | 2.7 |
| Nutritional and miscellaneous metabolic disorders | 3.3 | 2.4 |
| Disorders of the pancreas except malignancy | 3.1 | 2.1 |
| Cumulative percent | 37.5 | 37.0 |
Efficiency and Quality of Care
Table 3 compares the performance of the PACE service and the comparison group on several efficiency and quality measures. Unadjusted LOS was not significantly different, and adjusted LOS was slightly but not statistically significantly higher on the study service (adjusted LOS 5.0% higher; 95% confidence interval [CI], 0.4% to +10%). Unadjusted and adjusted total costs of care were marginally lower on the study service (adjusted total cost of care 3.9% lower; 95% CI, 7.5% to 0.3%).
| PACE Service | House Staff Services | Unadjusted % Difference (95%CI) | Adjusted % Difference (95%CI)* | |
|---|---|---|---|---|
| PACE Service | House Staff Services | Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |
| ||||
| Efficiency measure | ||||
| Length of stay, days, median (IQR) | 2.6 (1.6, 4.4) | 2.6 (1.4, 4.6) | +0.1% (5.6% to +6.1%) | +5.0% (0.4% to +10.0%) |
| Total costs, USD, median (IQR) | 4,536 (2,848, 7,201) | 4,749 (3,046, 8,161) | 9.1% (14.0% to 3.8%) | 3.9% (7.5% to 0.3%)‖ |
| Quality measure | ||||
| 72‐hour readmissions/100 discharges | 0.8 | 1.3 | 0.6 (0.31.3) | 0.7 (0.21.8) |
| 14‐day readmissions/100 discharges | 5.4 | 5.4 | 1.0 (0.71.4) | 1.1 (0.81.4) |
| 30‐day readmissions/100 discharges | 8.0 | 8.1 | 1.0 (0.81.3) | 1.1 (0.91.3) |
| ICU transfers/100 discharges | 2.0 | 2.3 | 0.9 (0.51.4) | 1.4 (0.82.4)# |
| Inpatient mortality/100 discharges | 0.7 | 1.2 | 0.6 (0.31.3) | 0.8 (0.31.8)** |
We found no differences between the PACE service and comparison group in unadjusted rates of hospital readmissions within 72 hours, 14 days, and 30 days, transfer to the intensive care units, or inpatient mortality (Table 3). The associated ORs for each outcome were similar after adjusting for patient demographics and clinical characteristics including severity of illness, as well as for clustering by attending physician.
Subgroup Analyses
When the analysis was limited to the subset of patients with the 10 most common discharge DRGs, the difference in adjusted total cost of care was similar but lost statistical significance (4.0% lower on PACE service; 95% CI, 11.0% to +3.3%). In this subgroup, LOS, readmission rates, and ICU transfer rates were not different. ORs for mortality could not be calculated because there were no deaths in this subgroup on the PACE service (data not shown). When analysis was limited to daytime admissions (to remove any potential effect of admitting by a moonlighter), the difference in total cost of care was attenuated and lost statistical significance (0.2% lower on PACE service; 95%CI, 5.9% to +5.5%). No differences were seen in LOS, mortality, and ICU transfers (data not shown). However, 14‐day readmissions (but not 72‐hour or 30‐day readmissions) were lower on the PACE service (OR, 0.49; 95% CI, 0.25‐0.93).
Patient Satisfaction
Patients were similarly satisfied with their care on the PACE service and on the house staff services. In specific areas and globally, percentages of patients satisfied with their physicians and with the discharge process were not different, as measured by the Press‐Ganey survey (Press‐Ganey Associates, South Bend, IN; Figures 1 and 2). The survey distinguishes between attendings and residents, but not physician assistants; therefore, Figure 1 only includes responses to the attending questions. Given the sampling procedure of the Press‐Ganey survey, exact response rates cannot be calculated, but Press‐Ganey reports a response rate of about 40% for the English survey and about 20% for the Spanish survey.
Resident Duty Hours
Comparing the same month 1 year prior to implementation of the PACE service, mean self‐reported resident duty hours on the general medicine service were unchanged; however, self‐reported data were incomplete, and multiple changes took place in the residency program during the study period. For example, implementation of the PACE service allowed for the dissolution of one full house staff general medicine team and redistribution of these house staff to night float positions and an expanded medical intensive care unit.
Costs of Implementation
The costs associated with implementing the PACE service included physician and physician assistant salaries (2.5 full‐time physicians, 5 full‐time physician assistants, plus fringe) and night coverage by resident and fellow moonlighters (without fringe, and estimated at 50% effort given other moonlighter coverage responsibilities on subspecialty services). We estimated these costs at $257.50/patient‐day ($115/patient‐day for attending physician compensation, $110/patient‐day for physician assistant compensation, and $32.50/patient‐day for moonlighting coverage).
DISCUSSION
As academic centers struggle with developing a workforce to provide patient care no longer provided by residents, questions about the ideal structure of nonhouse staff inpatient services abound. Although solutions to this problem will be determined to some extent by local factors such as institutional culture and resources, some lessons learned in developing such services will be more widely applicable. We found that by implementing a geographically localized, physician assistant‐staffed hospitalist service, we were able to provide care of similar quality and efficiency to that of traditional house staff services, despite inexperienced hospitalists staffing the service and a medical residency program commonly recognized as one of the best in the country. Adjusted total costs were slightly lower on the PACE service, but this difference was small and of borderline statistical significance. Likewise, no significant differences were seen in any of several quality measures or in patient satisfaction.
Our findings add to the available evidence supporting the use of physician assistants on academic general medicine services, and are germane to academic centers facing reductions in house staff availability and seeking alternative models of care for inpatients. Several specific characteristics of the PACE service and the implications of these should be considered:
The service accepted all patients, regardless of diagnosis, acuity, or complexity of illness. This was unlike many previously described nonhouse staff services which were more limited in scope, and allowed more flexibility with patient flow. However, in the end, patients on the PACE service did have a modestly lower case mix index and Charlson score, suggesting that, despite a lack of triage guidelines, there was some bias in the triage of admissions, possibly due to a perception that physician assistants should take care of lower complexity patients. If it is desirable to have a similar distribution of higher complexity patients across house staff and nonhouse staff services, extra efforts may be necessary to overcome this perception.
The service was geographically regionalized. Geographic regionalization offered many important advantages, especially with regards to communication among staff, nursing, and consultants, and allowed for multidisciplinary rounds. However, it is possible that the modest, but not statistically significant, trend toward an increased LOS seen on the PACE service might be a reflection of geographic admitting (less incentive to discharge since discharging a patient means taking a new admission).
The education and professional development of the physician assistants was a priority. Physician assistants had considerable autonomy and responsibility, and rather than being assigned only lower level administrative tasks, performed all aspects of patient care. They also received regular teaching from the hospitalists, attended house staff teaching conferences, and developed nonclinical roles in education and quality improvement. The higher standards expected of the physician assistants were quite possibly a factor in the quality of care delivered, and almost certainly contributed to physician assistant satisfaction and retention.
Our findings contrast with those of Myers et al.,9 who found that a nonteaching service staffed by hospitalists and nurse practitioners had a significantly lower median LOS and hospital charges compared to similar patients on resident‐based services. However, unlike ours, their service cared for a select patient population, and only accepted patients with chest pain at low risk for acute coronary syndrome. Van Rhee et al.10 found that physician assistants on a general medicine service used fewer resources for patients with pneumonia, stroke, and congestive heart failure than resident physicians, and did not exceed the resources used by residents in other diagnoses. The authors did not find a difference in LOS, but did find a significantly higher mortality among patients with pneumonia cared for by physician assistants.
Several limitations should be noted. First, the study was a retrospective analysis of administrative data rather than a randomized trial, and although we employed a standard approach to adjust for a wide range of patient characteristics including severity of illness, there may have been undetected differences in the patient populations studied that may have confounded our results. Second, resident moonlighters admitted patients to the PACE service and, at other times, to the house staff services, and this may have diluted any differences between the groups. However, when we limited our analysis to the subgroup of patients admitted during the day, similar results were obtained, with the exception that the PACE service had a lower rate of 14‐day readmissions, an unexpected finding deserving of further study. Third, the study was conducted in a single academic institution and our findings may not be generalizable to others with different needs and resources; indeed, the costs associated with implementing such a service may be prohibitive for some institutions. Fourth, because of simultaneous changes that were taking place in our residency program, we are unable to accurately assess the impact of the PACE service on resident duty hours. However, resident duty hours did not increase over this time period on the general medicine service, and implementation of the service allowed for redistribution of house staff to other services and positions. Fifth, patient satisfaction data were obtained from responses to the mailed Press‐Ganey survey, to which there is a relatively low response rate. Also, we did not survey providers regarding their satisfaction with the service during the study period. Sixth, the study had limited power to detect clinically important differences in mortality and ICU transfers. Finally, this study is unable to compare this particular model of incorporating midlevel providers into general medical services with other models, only with traditional house staff services.
Future research should focus on determining the most effective and efficient ways to incorporate midlevel providers on academic general medicine services. One important question from the standpoint of house staff training is whether such services should be separate but equal, or should house staff gain experience during residency working with midlevel providers, since they are likely to encounter them in the future whether they stay in academics or not. Different models of care will likely have large implications for the quality and efficiency of patient care, house staff education and satisfaction, and physician assistant job satisfaction and turnover.
In summary, our study demonstrates that a geographically regionalized, multidisciplinary service staffed by hospitalists and physician assistants can be a safe alternative to house staff‐based services for the care of general medicine inpatients in an academic medical center.
Midlevel providers (physician assistants and nurse practitioners) have long been employed by academic medical centers, predominantly on surgical services, or on medical subspecialty services, where they have typically had a limited scope of practice, focused in a narrowly defined area or set of procedures.17 In contrast, there are relatively few reports of experiences deploying midlevel providers to replace house staff on inpatient general medicine services in academic centers,810 and few studies of the effect of midlevel providers on quality and efficiency of care in the academic setting. Despite this, reductions in house officer duty hours as mandated by the Accreditation Council on Graduate Medical Education (ACGME)11 have resulted in academic centers increasingly using midlevel providers to decrease house staff workload on inpatient services.12, 13 In general, midlevel practitioners on general medicine services have been deployed to: (1) care for a population of patients separate from and in parallel with house staff; this population may be narrowly defined (eg, patients with chest pain) or not; (2) assist with the management of patients cared for by house staff by performing certain tasks (eg, scheduling appointments, discharging patients). Even as midlevel providers become more prevalent on academic general medicine services, the best model of care incorporating them into clinical care remains unclear, and few studies have rigorously examined the care provided on services that use them.
We developed an inpatient general medicine service within a large academic medical center staffed by physician assistants and hospitalists to help our residency program meet ACGME duty hour requirements. We hypothesized that by creating a service that is geographically localized and supervised by full‐time hospitalists, by instituting multidisciplinary rounds, and by investing in the professional development of highly‐skilled physician assistants, we could provide care for medically complex, acutely ill general medicine inpatients with similar quality and efficiency as compared to house staff teams. We report our experience during the first year of implementing the service, and compare quality and efficiency of care on this service with that of our traditional house staff services. We also evaluate the effects of this service on patient satisfaction and self‐reported house staff workload.
PATIENTS AND METHODS
Study Setting
The study was conducted in a 747‐bed urban, academic medical center in the northeastern United States. The hospital's human research committee reviewed and approved the study design. The hospital has accredited residency and fellowship programs in all major specialties. Prior to July 2005, physician assistants were employed only on surgical and medical subspecialty services (ie, bone marrow transplant, interventional cardiology); none were employed on the inpatient general medicine service. There were approximately 44,000 inpatient admissions during the year of the study, with approximately 6500 of these to the general medicine service.
Description of the General Medicine Service
The General Medicine Service consisted of 8 traditional house staff teams, with 1 attending, 1 junior or senior resident, 2 interns, and 1 or 2 medical students. These teams admitted patients on a rotating basis every fourth day. On 4 of these teams, the attending was a hospitalist, with clinical responsibility for the majority of the patients admitted to the team. On the remaining 4 teams, the teaching attending was a primary care physician or medical subspecialist, responsible for the direct care of a small number of the team's patients, with the remainder cared for by private primary care physicians or subspecialists.
Description of the Physician Assistant/Hospitalist Service
The Physician Assistant/Clinician Educator (PACE) service opened in July 2005, and consisted of 15 beds localized to 2 adjacent inpatient pods, staffed by a single cadre of nurses and medically staffed by 1 hospitalist and 2 physician assistants from 7:00 AM to 7:00 PM on weekdays and by 1 hospitalist, 1 physician assistant, and 1 moonlighter (usually a senior medical resident or fellow) from 7:00 AM to 7:00 PM on weekends. A moonlighter, typically a senior resident or medical subspecialty fellow, admitted patients and covered nights on the service from 7:00 PM to 7:00 AM 7 days a week. The daily census goal for the service was 15 patients, limited by the number of available beds on the 2 pods, and the service accepted admissions 24 hours per day, 7 days per week, whenever beds were available. Daily morning rounds occurred at 8:00 AM and included the hospitalist, physician assistants, nurses, a care coordinator, and a pharmacist. The PACE service did not have triage guidelines related to diagnosis, complexity, or acuity, but only accepted patients via the emergency department or via a primary care physician's office, and did not accept patients transferred from outside hospitals or from the intensive care units.
Physician Assistants
All of the physician assistants on the PACE service had prior inpatient medicine experience, ranging from 6 months to 5 years. The physician assistants worked in 3‐day to 6‐day blocks of 12‐hour shifts. Their clinical responsibilities were similar to those of interns at the study hospital, and included taking histories and performing physical examinations, writing notes and orders, reviewing and assimilating data, creating and updating patient signouts, completing discharge summaries, consulting other services as needed, and communicating with nurses and family members.
Many physician assistants also had nonclinical responsibilities, taking on physician‐mentored roles in education, quality improvement, and administration. They were involved in several initiatives: (1) developing a physician assistant curriculum in hospital medicine, (2) presenting at hospital‐wide physician assistant grand rounds, (3) surveying and tracking patient and family satisfaction on the service, (4) reviewing all 72‐hour hospital readmissions, intensive care unit transfers, and deaths on the service, and (5) maintaining the service's compliance with state regulations regarding physician assistant scope of practice and prescribing.
Hospitalists
The 3 hospitalists on the PACE service worked in 7‐day blocks of 12‐hour shifts (7:00 AM to 7:00 PM). They directly supervised the physician assistants and had no competing responsibilities. The hospitalists were all recent graduates of the study hospital's internal medicine residency, with no prior clinical experience beyond residency. All were planning to work on the service for 1 to 2 years before beginning a subspecialty fellowship. In addition to supervising the clinical work of the physician assistants, the hospitalists were responsible for teaching the physician assistants on rounds and in weekly didactic sessions, guided by a curriculum in hospital medicine that focused on the most common general medicine diagnoses seen on the PACE service. The medical director of the PACE service periodically reviewed each physician assistant's clinical experience, skills and knowledge base, and held semiannual feedback sessions.
Study Patients
All general medicine patients admitted to the PACE service from July 1, 2005 to June 30, 2006 comprised the study population. The comparison group consisted of general medicine patients admitted to the 8 house staff general medicine teams; patients transferred from an intensive care unit (ICU) or another facility were excluded in order to match the admission criteria for the PACE service and improve comparability between the 2 study arms.
Data Collection and Study Outcomes
We obtained all patient data from the hospital's administrative databases. We identified patients assigned to the PACE service or to the comparison group based on the admitting service, team, and attending. We obtained patient demographics, insurance, admission source and discharge destination, admission and discharge times, dates, diagnoses, and diagnosis‐related groups (DRGs), as well as dates and times of transfers to other services, including to the intensive care unit. We also obtained the Medicare case‐mix index (CMI, based on DRG weight), and calculated a Charlson score based on billing diagnoses coded in the year prior to the index admission.14 Outcomes included length of stay (LOS) to the nearest hour, in‐hospital mortality, transfers to the intensive care unit, readmissions to the study hospital within 72 hours, 14 days, and 30 days, and total costs as derived from the hospital's cost accounting system (Transition Systems Inc., Boston, MA). Other outcomes included patient satisfaction as measured by responses to the Press‐Ganey survey routinely administered to a randomly selected 70% of recently discharged patients and effect on self‐reported resident work hours.
Statistical Analysis
Patient demographics, clinical characteristics, and study outcomes are presented using proportions, means with standard deviations, and medians with inter‐quartile ranges as appropriate. Unadjusted differences in outcomes between the two services were calculated using univariable regression techniques with service as the independent variable and each outcome as the dependent variable. We used logistic regression for dichotomous outcomes (readmissions, ICU transfers, and inpatient mortality), and linear regression for log‐transformed LOS and log‐transformed total costs of care. To adjust each outcome for potential confounders, we then built multivariable regression models. Each potential confounder was entered into the model one at a time as the independent variable. All variables found to be significant predictors of the outcome at the P < 0.10 level were then retained in the final model along with service as the predictor of interest. We used general estimating equations in all multivariable models to adjust for clustering of patients by attending physician. For logistic regression models, the effect size is presented as an odds ratio (OR); for log‐transformed linear regression models, the effect size is presented as the percent difference between groups. We also performed 2 subgroup analyses, limited to (1) the patients with the 10 most common discharge DRGs, and (2) patients admitted between the hours of 7:00 AM and 7:00 PM to remove the effects of moonlighters performing the initial admission. Except as noted above, 2‐sided P values < 0.05 were considered significant. SAS 9.1 (SAS Institute, Cary, NC) was used for all analyses.
RESULTS
Patient Demographics
Table 1 shows patient demographics and clinical characteristics of the PACE service and the comparison group. Patients in the comparison group were slightly older and tended to have slightly higher CMI and Charlson scores. Patients on the PACE service were more likely to be admitted at night (10:00 PM to 7:00 AM; 43.8% versus 30.3%; P < 0.0001). There were no significant differences in sex, race, insurance, or percentage of patients discharged to home. The 10 most common DRGs in the comparison group accounted for 37.0% of discharges, and these same DRGs accounted for 37.5% of discharges on the PACE service (Table 2).
| Characteristic | PACE Service (n = 992) | House Staff Services (n = 4,202) | P value |
|---|---|---|---|
| |||
| Age (years) | |||
| 1844 | 19.1 | 18.2 | |
| 4564 | 35.5 | 31.9 | 0.04 |
| 65+ | 45.5 | 49.9 | |
| Sex (% female) | 57.7 | 60.0 | NS |
| Race/ethnicity | |||
| White | 57.3 | 59.3 | |
| Black | 24.0 | 23.5 | NS |
| Hispanic | 14.1 | 13.3 | |
| Other | 4.6 | 3.9 | |
| Insurance | |||
| Medicare | 41.9 | 43.8 | |
| Commercial | 34.9 | 35.9 | |
| Medicaid | 14.4 | 11.7 | NS |
| Free care | 4.5 | 3.9 | |
| Self pay | 1.1 | 0.8 | |
| Median income by zip code of residence, USD (IQR) | 45,517 (32,49362,932) | 45,517 (35,88963,275) | NS |
| Case‐mix index, median (IQR) | 1.1 (0.81.5) | 1.2 (0.91.8) | 0.001 |
| Charlson score | |||
| 0 | 27.2 | 24.9 | |
| 1 | 22.6 | 21.1 | 0.02 |
| 2 | 16.2 | 16.5 | |
| 3+ | 34.0 | 37.6 | |
| Admissions between 10:00 PM and 7:00 AM | 43.8 | 30.3 | <0.0001 |
| Discharged to home | 81.1 | 80.5 | NS |
| Diagnosis‐Related Group at Discharge | PACE Service (n = 992)* | House Staff Services (n = 4,202)* |
|---|---|---|
| ||
| Chest pain | 5.4 | 6.4 |
| Esophagitis, gastroenteritis, and miscellaneous digestive disorders | 4.5 | 4.4 |
| Heart failure and shock | 3.4 | 4.6 |
| Simple pneumonia and pleurisy | 2.7 | 4.4 |
| Kidney and urinary tract infections | 4.7 | 3.2 |
| Chronic obstructive pulmonary disease | 4.0 | 3.3 |
| Renal failure | 2.7 | 3.5 |
| Gastrointestinal hemorrhage | 3.7 | 2.7 |
| Nutritional and miscellaneous metabolic disorders | 3.3 | 2.4 |
| Disorders of the pancreas except malignancy | 3.1 | 2.1 |
| Cumulative percent | 37.5 | 37.0 |
Efficiency and Quality of Care
Table 3 compares the performance of the PACE service and the comparison group on several efficiency and quality measures. Unadjusted LOS was not significantly different, and adjusted LOS was slightly but not statistically significantly higher on the study service (adjusted LOS 5.0% higher; 95% confidence interval [CI], 0.4% to +10%). Unadjusted and adjusted total costs of care were marginally lower on the study service (adjusted total cost of care 3.9% lower; 95% CI, 7.5% to 0.3%).
| PACE Service | House Staff Services | Unadjusted % Difference (95%CI) | Adjusted % Difference (95%CI)* | |
|---|---|---|---|---|
| PACE Service | House Staff Services | Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |
| ||||
| Efficiency measure | ||||
| Length of stay, days, median (IQR) | 2.6 (1.6, 4.4) | 2.6 (1.4, 4.6) | +0.1% (5.6% to +6.1%) | +5.0% (0.4% to +10.0%) |
| Total costs, USD, median (IQR) | 4,536 (2,848, 7,201) | 4,749 (3,046, 8,161) | 9.1% (14.0% to 3.8%) | 3.9% (7.5% to 0.3%)‖ |
| Quality measure | ||||
| 72‐hour readmissions/100 discharges | 0.8 | 1.3 | 0.6 (0.31.3) | 0.7 (0.21.8) |
| 14‐day readmissions/100 discharges | 5.4 | 5.4 | 1.0 (0.71.4) | 1.1 (0.81.4) |
| 30‐day readmissions/100 discharges | 8.0 | 8.1 | 1.0 (0.81.3) | 1.1 (0.91.3) |
| ICU transfers/100 discharges | 2.0 | 2.3 | 0.9 (0.51.4) | 1.4 (0.82.4)# |
| Inpatient mortality/100 discharges | 0.7 | 1.2 | 0.6 (0.31.3) | 0.8 (0.31.8)** |
We found no differences between the PACE service and comparison group in unadjusted rates of hospital readmissions within 72 hours, 14 days, and 30 days, transfer to the intensive care units, or inpatient mortality (Table 3). The associated ORs for each outcome were similar after adjusting for patient demographics and clinical characteristics including severity of illness, as well as for clustering by attending physician.
Subgroup Analyses
When the analysis was limited to the subset of patients with the 10 most common discharge DRGs, the difference in adjusted total cost of care was similar but lost statistical significance (4.0% lower on PACE service; 95% CI, 11.0% to +3.3%). In this subgroup, LOS, readmission rates, and ICU transfer rates were not different. ORs for mortality could not be calculated because there were no deaths in this subgroup on the PACE service (data not shown). When analysis was limited to daytime admissions (to remove any potential effect of admitting by a moonlighter), the difference in total cost of care was attenuated and lost statistical significance (0.2% lower on PACE service; 95%CI, 5.9% to +5.5%). No differences were seen in LOS, mortality, and ICU transfers (data not shown). However, 14‐day readmissions (but not 72‐hour or 30‐day readmissions) were lower on the PACE service (OR, 0.49; 95% CI, 0.25‐0.93).
Patient Satisfaction
Patients were similarly satisfied with their care on the PACE service and on the house staff services. In specific areas and globally, percentages of patients satisfied with their physicians and with the discharge process were not different, as measured by the Press‐Ganey survey (Press‐Ganey Associates, South Bend, IN; Figures 1 and 2). The survey distinguishes between attendings and residents, but not physician assistants; therefore, Figure 1 only includes responses to the attending questions. Given the sampling procedure of the Press‐Ganey survey, exact response rates cannot be calculated, but Press‐Ganey reports a response rate of about 40% for the English survey and about 20% for the Spanish survey.
Resident Duty Hours
Comparing the same month 1 year prior to implementation of the PACE service, mean self‐reported resident duty hours on the general medicine service were unchanged; however, self‐reported data were incomplete, and multiple changes took place in the residency program during the study period. For example, implementation of the PACE service allowed for the dissolution of one full house staff general medicine team and redistribution of these house staff to night float positions and an expanded medical intensive care unit.
Costs of Implementation
The costs associated with implementing the PACE service included physician and physician assistant salaries (2.5 full‐time physicians, 5 full‐time physician assistants, plus fringe) and night coverage by resident and fellow moonlighters (without fringe, and estimated at 50% effort given other moonlighter coverage responsibilities on subspecialty services). We estimated these costs at $257.50/patient‐day ($115/patient‐day for attending physician compensation, $110/patient‐day for physician assistant compensation, and $32.50/patient‐day for moonlighting coverage).
DISCUSSION
As academic centers struggle with developing a workforce to provide patient care no longer provided by residents, questions about the ideal structure of nonhouse staff inpatient services abound. Although solutions to this problem will be determined to some extent by local factors such as institutional culture and resources, some lessons learned in developing such services will be more widely applicable. We found that by implementing a geographically localized, physician assistant‐staffed hospitalist service, we were able to provide care of similar quality and efficiency to that of traditional house staff services, despite inexperienced hospitalists staffing the service and a medical residency program commonly recognized as one of the best in the country. Adjusted total costs were slightly lower on the PACE service, but this difference was small and of borderline statistical significance. Likewise, no significant differences were seen in any of several quality measures or in patient satisfaction.
Our findings add to the available evidence supporting the use of physician assistants on academic general medicine services, and are germane to academic centers facing reductions in house staff availability and seeking alternative models of care for inpatients. Several specific characteristics of the PACE service and the implications of these should be considered:
The service accepted all patients, regardless of diagnosis, acuity, or complexity of illness. This was unlike many previously described nonhouse staff services which were more limited in scope, and allowed more flexibility with patient flow. However, in the end, patients on the PACE service did have a modestly lower case mix index and Charlson score, suggesting that, despite a lack of triage guidelines, there was some bias in the triage of admissions, possibly due to a perception that physician assistants should take care of lower complexity patients. If it is desirable to have a similar distribution of higher complexity patients across house staff and nonhouse staff services, extra efforts may be necessary to overcome this perception.
The service was geographically regionalized. Geographic regionalization offered many important advantages, especially with regards to communication among staff, nursing, and consultants, and allowed for multidisciplinary rounds. However, it is possible that the modest, but not statistically significant, trend toward an increased LOS seen on the PACE service might be a reflection of geographic admitting (less incentive to discharge since discharging a patient means taking a new admission).
The education and professional development of the physician assistants was a priority. Physician assistants had considerable autonomy and responsibility, and rather than being assigned only lower level administrative tasks, performed all aspects of patient care. They also received regular teaching from the hospitalists, attended house staff teaching conferences, and developed nonclinical roles in education and quality improvement. The higher standards expected of the physician assistants were quite possibly a factor in the quality of care delivered, and almost certainly contributed to physician assistant satisfaction and retention.
Our findings contrast with those of Myers et al.,9 who found that a nonteaching service staffed by hospitalists and nurse practitioners had a significantly lower median LOS and hospital charges compared to similar patients on resident‐based services. However, unlike ours, their service cared for a select patient population, and only accepted patients with chest pain at low risk for acute coronary syndrome. Van Rhee et al.10 found that physician assistants on a general medicine service used fewer resources for patients with pneumonia, stroke, and congestive heart failure than resident physicians, and did not exceed the resources used by residents in other diagnoses. The authors did not find a difference in LOS, but did find a significantly higher mortality among patients with pneumonia cared for by physician assistants.
Several limitations should be noted. First, the study was a retrospective analysis of administrative data rather than a randomized trial, and although we employed a standard approach to adjust for a wide range of patient characteristics including severity of illness, there may have been undetected differences in the patient populations studied that may have confounded our results. Second, resident moonlighters admitted patients to the PACE service and, at other times, to the house staff services, and this may have diluted any differences between the groups. However, when we limited our analysis to the subgroup of patients admitted during the day, similar results were obtained, with the exception that the PACE service had a lower rate of 14‐day readmissions, an unexpected finding deserving of further study. Third, the study was conducted in a single academic institution and our findings may not be generalizable to others with different needs and resources; indeed, the costs associated with implementing such a service may be prohibitive for some institutions. Fourth, because of simultaneous changes that were taking place in our residency program, we are unable to accurately assess the impact of the PACE service on resident duty hours. However, resident duty hours did not increase over this time period on the general medicine service, and implementation of the service allowed for redistribution of house staff to other services and positions. Fifth, patient satisfaction data were obtained from responses to the mailed Press‐Ganey survey, to which there is a relatively low response rate. Also, we did not survey providers regarding their satisfaction with the service during the study period. Sixth, the study had limited power to detect clinically important differences in mortality and ICU transfers. Finally, this study is unable to compare this particular model of incorporating midlevel providers into general medical services with other models, only with traditional house staff services.
Future research should focus on determining the most effective and efficient ways to incorporate midlevel providers on academic general medicine services. One important question from the standpoint of house staff training is whether such services should be separate but equal, or should house staff gain experience during residency working with midlevel providers, since they are likely to encounter them in the future whether they stay in academics or not. Different models of care will likely have large implications for the quality and efficiency of patient care, house staff education and satisfaction, and physician assistant job satisfaction and turnover.
In summary, our study demonstrates that a geographically regionalized, multidisciplinary service staffed by hospitalists and physician assistants can be a safe alternative to house staff‐based services for the care of general medicine inpatients in an academic medical center.
- ,,,,,.The physician's assistant as resident on surgical service. An example of creative problem solving in surgical manpower.Arch Surg.1980;115:310–314.
- ,,,.Coronary arteriography performed by a physician assistant.Am J Cardiol.1987;60:784–787.
- .The specialized physician assistant: an alternative to the clinical cardiology trainee.Am J Cardiol.1987;60:901–902.
- ,,.One hospital's successful 20‐year experience with physician assistants in graduate medical education.Acad Med.1999;74:641–645.
- ,.Physicians assistants in cardiothoracic surgery: a 30‐year experience in a university center.Ann Thorac Surg.2006;81:195–199; discussion 199–200.
- ,,.Comparative review of use of physician assistants in a level I trauma center.Am Surg.2004;70:272–279.
- ,,,,.Integrating midlevel practitioners into a teaching service.Am J Surg.2006;192:119–124.
- ,.Acute care nurse practitioners: creating and implementing a model of care for an inpatient general medical service.Am J Crit Care.2002;11:448–458.
- ,,,,.Improving resource utilization in a teaching hospital: development of a nonteaching service for chest pain admissions.Acad Med.2006;81:432–435.
- ,,.Resource use by physician assistant services versus teaching services.JAAPA.2002;15:33–38.
- ,,, for the ACGME Work Group on Resident Duty Hours, Accreditation Council for Graduate Medical Education.New requirements for resident duty hours.JAMA.2002;288:1112–1114.
- ,,.The substitution of physician assistants and nurse practitioners for physician residents in teaching hospitals.Health Aff.1995;14:181–191.
- ,,,,.Challenges of the 80‐hour resident work rules: collaboration between surgeons and nonphysician practitioners.Surg Clin North Am.2004;84:1573–1586.
- ,,.Adapting a clinical comorbidity index for use with ICD‐9‐CM administrative databases.J Clin Epidemiol.1992;45:613–619.
- ,,,,,.The physician's assistant as resident on surgical service. An example of creative problem solving in surgical manpower.Arch Surg.1980;115:310–314.
- ,,,.Coronary arteriography performed by a physician assistant.Am J Cardiol.1987;60:784–787.
- .The specialized physician assistant: an alternative to the clinical cardiology trainee.Am J Cardiol.1987;60:901–902.
- ,,.One hospital's successful 20‐year experience with physician assistants in graduate medical education.Acad Med.1999;74:641–645.
- ,.Physicians assistants in cardiothoracic surgery: a 30‐year experience in a university center.Ann Thorac Surg.2006;81:195–199; discussion 199–200.
- ,,.Comparative review of use of physician assistants in a level I trauma center.Am Surg.2004;70:272–279.
- ,,,,.Integrating midlevel practitioners into a teaching service.Am J Surg.2006;192:119–124.
- ,.Acute care nurse practitioners: creating and implementing a model of care for an inpatient general medical service.Am J Crit Care.2002;11:448–458.
- ,,,,.Improving resource utilization in a teaching hospital: development of a nonteaching service for chest pain admissions.Acad Med.2006;81:432–435.
- ,,.Resource use by physician assistant services versus teaching services.JAAPA.2002;15:33–38.
- ,,, for the ACGME Work Group on Resident Duty Hours, Accreditation Council for Graduate Medical Education.New requirements for resident duty hours.JAMA.2002;288:1112–1114.
- ,,.The substitution of physician assistants and nurse practitioners for physician residents in teaching hospitals.Health Aff.1995;14:181–191.
- ,,,,.Challenges of the 80‐hour resident work rules: collaboration between surgeons and nonphysician practitioners.Surg Clin North Am.2004;84:1573–1586.
- ,,.Adapting a clinical comorbidity index for use with ICD‐9‐CM administrative databases.J Clin Epidemiol.1992;45:613–619.
Copyright © 2008 Society of Hospital Medicine
The Irritable Heart
The approach to clinical conundrums by an expert clinician is revealed through presentation of an actual patient's case in an approach typical of morning report. Similar to patient care, sequential pieces of information are provided to the clinician who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant.
A30‐year‐old woman was referred for evaluation of chest pain, palpitations, and exercise intolerance. She had been previously healthy, active, and physically fit. Five months prior to our evaluation, she had an elective C5C6 cervical spine discectomy with interbody allograft fusion for a chronic neck injury that occurred 11 years ago during gymnastics. Two weeks after spine surgery, the patient developed numbness and tingling of her left thumb and palm that occurred with exertion or exposure to cold and subsided with rest. These episodes increased in frequency and intensity and after 1 week became associated with sharp, occasionally stabbing chest pain that radiated to the left arm. On one occasion, the patient had an episode of exertional chest pain with prolonged left arm cyanosis. Emergent left upper extremity angiography revealed normal great vessel anatomy with spasm of the radial artery and collateral ulnar flow. The patient was diagnosed with Raynaud's phenomenon and was started on nifedipine. A subsequent rheumatologic evaluation was unrevealing, and the patient was empirically switched to amlodipine with no improvement in symptoms.
This otherwise very healthy 30‐year‐old developed a multitude of symptoms. The patient's chest pain is atypical and in a young woman is unlikely to signify atherosclerotic coronary disease, but it should not be entirely disregarded. Vasospasm triggered by exposure to cold does raise suspicion for Raynaud's phenomenon, which is not uncommon in this demographic. However, this presentation is quite unusual because the vasospasm was limited to one vascular distribution of one extremity. Associated coronary vasospasm could explain the other symptoms, although coronary spasm is generally not associated with Raynaud's phenomenon. Vasculitis may also affect the pulmonary vasculature, leading to pulmonary hypertension and exercise intolerance. The temporal association with her spine surgery is intriguing but of unclear significance.
The patient continued to have frequent exertional episodes of sharp precordial chest pain radiating to her left arm that were accompanied by dyspnea and left upper extremity symptoms despite amlodipine therapy. These now occurred with limited activity when she walked 1 to 2 blocks uphill. Over the previous 2 months, she had also noticed palpitations occurring reliably with exercise that were relieved with 15 to 20 min of rest. With prolonged episodes, she reported dizziness, nausea, and blurry vision that improved with lying down. She twice had syncope with these symptoms. She noted lower extremity edema while taking calcium channel blockers, but this had resolved after discontinuation of the drugs.
The patient's past medical history included several high‐school orthopedic injuries. She had 2 kidney stones at ages 18 and 23 and had an appendectomy at age 28. Her only medication was an oral contraceptive, and she had discontinued the amlodipine. She denied the use of tobacco, alcohol, herbal medications, or illicit substances. There was no family history of sudden death or heart disease.
Palpitations in a 30‐year‐old woman may signify a cardiac arrhythmia. Paroxysmal supraventricular arrhythmias, such as atrioventricular nodal reentrant tachycardia, atrial tachycardia, and atrial fibrillation, are well described in the young. Ventricular tachycardia (VT) is another possible cause and could be idiopathic or related to occult structural heart disease. Young patients typically tolerate lone arrhythmias quite well, and her failure to do so raises suspicion for concomitant structural heart disease. Her palpitations may be from appropriate sinus tachycardia, which could be compensatory because of inadequate cardiac output reserve, which in turn could be caused by valvular disease, congenital heart disease, or ventricular dysfunction. The exertional chest pain is worrisome for ischemia. Pulmonary hypertension, severe ventricular hypertrophy, or congenital anomalies of the coronary circulation could lead to subendocardial myocardial ischemia with exertion, resulting in angina, dyspnea, and arrhythmias. However, the patient also experiences exertional palpitations without chest pain, which may signify an exertional tachyarrhythmia possibly mediated by catecholamines. Based solely on the history, the differential diagnosis remains broad.
On physical examination, the patient was a fit, thin, healthy woman. Her blood pressure was 120/70 mm Hg supine in both arms and 115/75 mm Hg standing; her pulse was 85 supine and 110 standing, Oxygen saturation was 100% on room air. A cardiac exam revealed a normal jugular venous pressure, normal point of maximal impulse, regular rhythm with occasional ectopy, normal S1, and physiologically split S2 without extra heart sounds or murmurs. The right ventricular impulse was faintly palpable at the left sternal border. Head, neck, chest, abdominal, musculoskeletal, neurologic, extremity, and peripheral pulse examinations were normal.
Laboratory data showed a normal complete blood count and normal chemistries. Serum tests for hepatitis C antibody, cardiolipin antibody, rheumatoid factor, cryoglobulins, and anti‐nuclear antibody were negative. The erythrocyte sedimentation rate and thyroid stimulating hormone levels were within normal limits. An electrocardiogram (ECG) demonstrated a normal sinus rhythm with frequent premature ventricular complexes (PVCs) and normal axis and intervals. (Figure 1). The PR segment was normal and without preexcitation. A prior ECG from 3 months ago was similar with ventricular trigeminy.
Her unremarkable cardiac examination does not favor structural or valvular heart disease, and there are no obvious stigmata of vasculitis. She did become mildly tachycardic upon standing, and this raises the possibility of orthostatic tachycardia. A comprehensive rheumatologic panel revealed no evidence of autoimmune disease or vasculitis, and the clinical constellation is not consistent with primary or secondary Raynaud's disease. The ECG demonstrates frequent monomorphic PVCs complexes with a left bundle branch block pattern and an inferior axis. This pattern suggests that the PVCs arise from the right ventricular outflow tract. Idiopathic right ventricular outflow tract VT and arrhythmogenic right ventricular dysplasia must be considered as a cause of exertional or catecholamine‐mediated tachycardia. The normal ECG argues against arrhythmogenic right ventricular dysplasia, in which patients typically have incomplete or complete right bundle branch block, right precordial T wave abnormalities, and occasionally epsilon waves. Her QT interval is normal, but excluding long‐QT syndrome with a single ECG has poor sensitivity. The next critical step is to document her cardiac rhythm during symptoms and to exclude malignant arrhythmias.
An event recorder and exercise echocardiogram were ordered. While the patient was wearing her event recorder, she had 4 episodes of exertional syncope while hiking and successfully triggered event recording before losing consciousness. She had chest pain and left arm pain after regaining consciousness. The patient came to the emergency room for evaluation. Her blood pressure was 116/80 mm Hg supine and 112/70 mm Hg seated. Her heart rate increased from 82 supine to 132 seated. The physical examination was unremarkable. ECG showed sinus rhythm with frequent PVCs. Troponin‐I measurements 10 hours apart were 0.7 and 0.3 g/L (normal 1.1), with normal creatinine kinase and creatinine kinase MB fractions. Interrogation of the event recorder revealed multiple episodes of a narrow complex tachycardia with rates up to 180 bpm that correlated with symptoms (Figure 2). There were no episodes of wide complex tachycardia.
The patient was not hypotensive in the emergency room, but she had evidence of a marked orthostatic tachycardia. The minimal but significant troponin elevations are also troubling. Although her clinical picture is not consistent with an acute coronary syndrome, I am concerned about other mechanisms of myocardial ischemia or injury, such as a coronary anomaly or subendocardial ischemia from globally reduced myocardial perfusion. The presence of event recorder data from her syncopal events was fortuitous and revealed a supraventricular tachycardia. The arrhythmia was gradual in onset and resolution and had no triggers, such as premature atrial or ventricular complexes, which could suggest reentrant arrhythmias. The P wave morphology was also unchanged, and this argues against an atrial tachycardia. These findings are consistent with sinus tachycardia, which was notably out of proportion to her workload. This arrhythmia may be the primary cause of syncope, such as in inappropriate sinus tachycardia, or it may be a compensatory mechanism. Tachycardia from coronary vasospasm is often preceded by ST segment changes, which are not seen here. Although the event recorder had no episodes of VT, the patient's persistent frequent PVCs are still of concern. I would obtain an echocardiogram to exclude structural heart disease and an exercise test to exclude exertional VT. Finally, coronary angiography may be helpful in excluding congenital anomalies.
The patient was admitted for evaluation. An exercise treadmill test was performed, and the patient exercised 20 min on the standard Bruce protocol with a peak heart rate of 180 bpm. The test was notable for a premature rise in heart rate (in stage 1) without a rise in blood pressure. There were no symptoms or ST/T wave changes. Transthoracic echocardiogram showed normal left ventricular size and function with normal anatomy, valves, and hemodynamics. Coronary angiography showed a right dominant system with normal anatomy and no atherosclerotic disease.
Ventricular arrhythmias could not be elicited with exercise. Her high exercise tolerance virtually excluded hemodynamically significant structural or valvular disease, and this was confirmed by the echocardiogram. Coronary angiography excluded coronary anomalies and myocardial bridging. The most intriguing finding is the rise in the patient's heart rate out of proportion to the workload. This, along with her orthostatic tachycardia, raises the issue of inappropriate sinus tachycardia or postural orthostatic tachycardia syndrome (POTS). Carotid hypersensitivity is also a possibility. The patient was hiking when she fainted, and even light pressure on the patient's neck with head turning or from a camera strap, for example, could produce syncope. Although carotid hypersensitivity usually results in sinus bradycardia and AV block, it may be followed by reflex tachycardia, which was seen in this patient's event recordings. I would perform a tilt‐table test with carotid massage to make the diagnosis.
Tilt‐table testing was performed (Figure 3). Her supine blood pressure was 128/68 mm Hg, and her heart rate was 72 bpm with no change during the 10‐min supine period. Upon elevation to a 70‐degree tilt, the patient had an immediate increase in her heart rate to 160 bpm with a blood pressure nadir of 109/58 mm Hg and symptoms of palpitations, dizziness, dyspnea, chest pain, blurry vision, and nausea. Her peak heart rate was 172 bpm, and her peak blood pressure was 122/72 mm Hg. Vital signs did not change in response to carotid sinus massage in the supine or upright positions.
The tilt‐table test has 3 notable findings. First, her heart rate increased rapidly with tilt and decreased rapidly in supine recovery. Second, her usual symptoms started immediately after tilt and quickly resolved in recovery when vital signs returned to baseline. Finally, there was only a modest drop in blood pressure. These findings are classic for POTS. POTS is defined as symptomatic orthostasis with a heart rate increase of 30 bpm or a heart rate of 120 bpm. The physiologic lesions found in the syndrome are heterogeneous, but they all lead to a failure of orthostatic compensation. In POTS, the tachycardia is a reflex secondary to hypotension (baroreceptor reflex) or reduced preload (cardiac mechanoreceptors), in contrast to inappropriate sinus tachycardia. Interestingly, blood pressure is usually preserved until the final moments preceding syncope, when venous return further declines, tachycardia decreases the diastolic filling time and stroke volume, and mean arterial pressure sharply falls.
The patient was started on labetalol (200 mg 3 times daily), and her symptoms worsened. She also developed nausea and constipation. Midodrine and pindolol were also tried without success. She was then switched to fludrocortisone, salt supplementation, and leg support stockings with dramatic improvement.
COMMENTARY
In 1871, DeCosta1 published a report on the irritable heart, noting an affliction of extreme fatigue and exercise intolerance that occurred suddenly and without obvious cause. Subsequently, the terms vasoregulatory asthenia and neurocirculatory asthenia were used to link cardiovascular symptoms to impaired regulation of peripheral blood flow.2, 3 The term POTS was first used in 1982 to describe a single patient with postural tachycardia without hypotension and palpitations, weakness, abdominal pain, and presyncope.4
POTS is one of several disorders of autonomic control associated with orthostatic intolerance. The criteria for diagnosis are listed in Table 1. POTS typically occurs in women between the ages of 15 and 50 but tends to present during adolescence or young adulthood. The physiology has only recently been elucidated. When a person stands, 500 cc of the total blood volume is displaced to the dependent extremities and inferior mesenteric vessels.5 Normally, orthostatic stabilization occurs in less than 1 minute via 3 mechanisms: baroreceptor input, sympathetic reflex tachycardia and vasoconstriction, and enhanced venous return via the pumping action of skeletal muscles and venoconstriction. In POTS, there is a failure of at least one of these mechanisms, leading to decreased venous return, a 40% reduction in stroke volume, and cerebral hypoperfusion.6
| 1. Consistent symptoms of orthostatic intolerance [may include excessive fatigue, exercise intolerance, recurrent syncope or near syncope, dizziness, nausea, tachycardia, palpitations, visual disturbances, blurred vision, tunnel vision, tremulousness, weakness (most noticeable in the legs), chest discomfort, shortness of breath, mood swings, and gastrointestinal complaints] |
| 2. Heart rate increase 30 bpm or heart rate 120 bpm within 10 min of standing or head‐up tilt |
| 3. Absence of a known cause of autonomic neuropathy |
POTS is divided into 2 major subtypes on the basis of pathophysiology.5, 7 The partial dysautonomic form is the most common and the type that this patient most likely had. In this form, the development of an acquired peripheral autonomic neuropathy results in a failure of sympathetic venoconstriction, which leads to excessive venous pooling in the lower extremities and splanchnic circulation.8, 9 Failure to mobilize this venous reservoir upon standing leads to excessive orthostatic tachycardia secondary to a marked reduction in stroke volume. Peripheral arterial vasoconstriction is generally preserved, which is why midodrine, an arterial vasoconstrictor, did not improve symptoms. The labetalol may have further exacerbated peripheral pooling because of its alpha‐adrenergic blocking properties. Because total plasma volume is decreased and plasma renin activity is inappropriately low,10 volume expanders, including salt, low‐dose steroids, and fluids, can attenuate symptoms.11 The extrinsic venous compression from leg and abdominal support stockings may also dramatically reduce venous pooling.
In the less common hyperadrenergic form of POTS, patients may have orthostatic hypertension, tremulousness, cold, sweaty extremities, and anxiety due to an exaggerated response to beta‐adrenergic stimulation.7 The excessive sympathetic activity, which is poorly modulated by baroreflex activity, may be due to impaired mechanisms of norepinephrine reuptake by sympathetic ganglia.12 Consequently, serum norepinephrine levels are markedly elevated (>600 pg/mL).5
In adults, the presence of a POTS trigger is common and is usually an antecedent viral illness. Antibodies to the ganglionic acetylcholine receptor have been found in a subset of POTS patients,13 and this may suggest an idiopathic or postinflammatory autoimmune mechanism.14 This patient's presentation is unique because her symptoms developed after C5C6 spine surgery. The cervical spinal cord and sympathetic ganglia are dense with nerves involved in autonomic cardiovascular control, and damage to these fibers could explain the patient's physiology and symptoms. Among these, the descending vasomotor pathways traverse through the C5C8 area to innervate the splanchnic and leg venous circulation, receiving input from the heart along the way.15 The pattern of numbness and tingling fits the C5/C6 dermatomal distribution, as does the innervation of the radial artery. The frequent PVCs with a left bundle branch block pattern and inferior axis appear to arise from the right ventricular outflow tract and may be associated with regional sympathetic denervation, which has been described in idiopathic ventricular arrhythmias.16 POTS has been anecdotally reported after neck injury from motor vehicle accidents (whiplash), which is also thought to be related to cervical sympathetic nerve damage (B.P. Grubb, personal communication, 2005). Most cases of triggered POTS improve spontaneously after months to years, but this patient's prognosis remains uncertain because of the presumed mechanical disruption of the autonomic nerve fibers at the time of surgery.
This case demonstrates the complexities of arriving at a unifying diagnosis in the setting of a constellation of nonspecific symptoms and findings, some of which even suggest life‐threatening conditions. Because young women are primarily affected, symptoms of POTS can be mistakenly attributed to anxiety or other nonphysiological factors. A systematic approach excluded life‐threatening causes, including primary ventricular arrhythmias, coronary vasospasm, and coronary anomalies. The investigations narrowed the differential diagnosis, and the tilt‐table test confirmed POTS. Because the cardiac and circulatory dysautonomias encompass an array of distinct physiologic processes, understanding the patient's mechanism is critical to her management. The only effective therapies were those that counteracted venous pooling and improved venous return.
Teaching Points
-
The differential diagnosis of exertional syncope is extremely broad, ranging from benign to malignant conditions, and requires a systematic evaluation of the heart and circulatory system.
-
The diagnosis of POTS is elusive and frequently missed. Referral for tilt‐table testing is useful in identifying the mechanism of sinus tachycardia and syncope. Marked orthostatic tachycardia and symptoms of cerebral hypoperfusion out of proportion to the degree of hypotension strongly suggest POTS.
-
Cardiac and circulatory dysautonomias have distinct and varied mechanisms. Therapies, including beta‐blockers, vasoconstrictors, and volume expanders, must be directed at the underlying physiological defect.
- .An irritable heart.Am J Med Sci.1871;27:145–161.
- ,,,,,.Low physical working capacity in suspected heart cases due to inadequate adjustment of peripheral blood flow (vasoregulatory asthenia).Acta Med Scand.1957;158(6):413–436.
- ,,.Orthostatic tachycardia and orthostatic hypotension: defects in the return of venous blood to the heart.Am Heart J.1944;27:145–163.
- ,.Postural tachycardia syndrome. Reversal of sympathetic hyperresponsiveness and clinical improvement during sodium loading.Am J Med.1982;72(5):847–850.
- ,,.The postural orthostatic tachycardia syndrome: definitions, diagnosis, and management.Pacing Clin Electrophysiol.2003;26(8):1747– 1757.
- ,.Clinical disorders of the autonomic nervous system associated with orthostatic intolerance: an overview of classification, clinical evaluation, and management.Pacing Clin Electrophysiol.1999;22(5):798–810.
- ,.Idiopathic orthostatic intolerance and postural tachycardia syndromes.Am J Med Sci.1999;317(2):88–101.
- ,,, et al.Splanchnic‐mesenteric capacitance bed in the postural tachycardia syndrome (POTS).Auton Neurosci.2000;86(1–2):107–113.
- ,,,.Abnormal orthostatic changes in blood pressure and heart rate in subjects with intact sympathetic nervous function: evidence for excessive venous pooling.J Lab Clin Med.1988;111(3):326–335.
- ,,, et al.Renin‐aldosterone paradox and perturbed blood volume regulation underlying postural tachycardia syndrome.Circulation.2005;111(13):1574–1582.
- .Clinical practice. Neurocardiogenic syncope.N Engl J Med.2005;352(10):1004–1010.
- ,,, et al.Orthostatic intolerance and tachycardia associated with norepinephrine‐transporter deficiency.N Engl J Med.2000;342(8):541–549.
- ,,,,,.Autoantibodies to ganglionic acetylcholine receptors in autoimmune autonomic neuropathies.N Engl J Med.2000;343(12):847–855.
- ,,.The postural tachycardia syndrome: a concise guide to diagnosis and management.J Cardiovasc Electrophysiol.2006;17(1):108–112.
- ,,.Neurovegetative regulation of the vascular system. In:Lanzer P,Topol EJ, eds.Panvascular Medicine.Berlin, Germany:Springer‐Verlag;2002:175–187.
- ,,, et al.Regional cardiac sympathetic denervation in patients with ventricular tachycardia in the absence of coronary artery disease.J Am Coll Cardiol.1993;22(5):1344–1353.
The approach to clinical conundrums by an expert clinician is revealed through presentation of an actual patient's case in an approach typical of morning report. Similar to patient care, sequential pieces of information are provided to the clinician who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant.
A30‐year‐old woman was referred for evaluation of chest pain, palpitations, and exercise intolerance. She had been previously healthy, active, and physically fit. Five months prior to our evaluation, she had an elective C5C6 cervical spine discectomy with interbody allograft fusion for a chronic neck injury that occurred 11 years ago during gymnastics. Two weeks after spine surgery, the patient developed numbness and tingling of her left thumb and palm that occurred with exertion or exposure to cold and subsided with rest. These episodes increased in frequency and intensity and after 1 week became associated with sharp, occasionally stabbing chest pain that radiated to the left arm. On one occasion, the patient had an episode of exertional chest pain with prolonged left arm cyanosis. Emergent left upper extremity angiography revealed normal great vessel anatomy with spasm of the radial artery and collateral ulnar flow. The patient was diagnosed with Raynaud's phenomenon and was started on nifedipine. A subsequent rheumatologic evaluation was unrevealing, and the patient was empirically switched to amlodipine with no improvement in symptoms.
This otherwise very healthy 30‐year‐old developed a multitude of symptoms. The patient's chest pain is atypical and in a young woman is unlikely to signify atherosclerotic coronary disease, but it should not be entirely disregarded. Vasospasm triggered by exposure to cold does raise suspicion for Raynaud's phenomenon, which is not uncommon in this demographic. However, this presentation is quite unusual because the vasospasm was limited to one vascular distribution of one extremity. Associated coronary vasospasm could explain the other symptoms, although coronary spasm is generally not associated with Raynaud's phenomenon. Vasculitis may also affect the pulmonary vasculature, leading to pulmonary hypertension and exercise intolerance. The temporal association with her spine surgery is intriguing but of unclear significance.
The patient continued to have frequent exertional episodes of sharp precordial chest pain radiating to her left arm that were accompanied by dyspnea and left upper extremity symptoms despite amlodipine therapy. These now occurred with limited activity when she walked 1 to 2 blocks uphill. Over the previous 2 months, she had also noticed palpitations occurring reliably with exercise that were relieved with 15 to 20 min of rest. With prolonged episodes, she reported dizziness, nausea, and blurry vision that improved with lying down. She twice had syncope with these symptoms. She noted lower extremity edema while taking calcium channel blockers, but this had resolved after discontinuation of the drugs.
The patient's past medical history included several high‐school orthopedic injuries. She had 2 kidney stones at ages 18 and 23 and had an appendectomy at age 28. Her only medication was an oral contraceptive, and she had discontinued the amlodipine. She denied the use of tobacco, alcohol, herbal medications, or illicit substances. There was no family history of sudden death or heart disease.
Palpitations in a 30‐year‐old woman may signify a cardiac arrhythmia. Paroxysmal supraventricular arrhythmias, such as atrioventricular nodal reentrant tachycardia, atrial tachycardia, and atrial fibrillation, are well described in the young. Ventricular tachycardia (VT) is another possible cause and could be idiopathic or related to occult structural heart disease. Young patients typically tolerate lone arrhythmias quite well, and her failure to do so raises suspicion for concomitant structural heart disease. Her palpitations may be from appropriate sinus tachycardia, which could be compensatory because of inadequate cardiac output reserve, which in turn could be caused by valvular disease, congenital heart disease, or ventricular dysfunction. The exertional chest pain is worrisome for ischemia. Pulmonary hypertension, severe ventricular hypertrophy, or congenital anomalies of the coronary circulation could lead to subendocardial myocardial ischemia with exertion, resulting in angina, dyspnea, and arrhythmias. However, the patient also experiences exertional palpitations without chest pain, which may signify an exertional tachyarrhythmia possibly mediated by catecholamines. Based solely on the history, the differential diagnosis remains broad.
On physical examination, the patient was a fit, thin, healthy woman. Her blood pressure was 120/70 mm Hg supine in both arms and 115/75 mm Hg standing; her pulse was 85 supine and 110 standing, Oxygen saturation was 100% on room air. A cardiac exam revealed a normal jugular venous pressure, normal point of maximal impulse, regular rhythm with occasional ectopy, normal S1, and physiologically split S2 without extra heart sounds or murmurs. The right ventricular impulse was faintly palpable at the left sternal border. Head, neck, chest, abdominal, musculoskeletal, neurologic, extremity, and peripheral pulse examinations were normal.
Laboratory data showed a normal complete blood count and normal chemistries. Serum tests for hepatitis C antibody, cardiolipin antibody, rheumatoid factor, cryoglobulins, and anti‐nuclear antibody were negative. The erythrocyte sedimentation rate and thyroid stimulating hormone levels were within normal limits. An electrocardiogram (ECG) demonstrated a normal sinus rhythm with frequent premature ventricular complexes (PVCs) and normal axis and intervals. (Figure 1). The PR segment was normal and without preexcitation. A prior ECG from 3 months ago was similar with ventricular trigeminy.
Her unremarkable cardiac examination does not favor structural or valvular heart disease, and there are no obvious stigmata of vasculitis. She did become mildly tachycardic upon standing, and this raises the possibility of orthostatic tachycardia. A comprehensive rheumatologic panel revealed no evidence of autoimmune disease or vasculitis, and the clinical constellation is not consistent with primary or secondary Raynaud's disease. The ECG demonstrates frequent monomorphic PVCs complexes with a left bundle branch block pattern and an inferior axis. This pattern suggests that the PVCs arise from the right ventricular outflow tract. Idiopathic right ventricular outflow tract VT and arrhythmogenic right ventricular dysplasia must be considered as a cause of exertional or catecholamine‐mediated tachycardia. The normal ECG argues against arrhythmogenic right ventricular dysplasia, in which patients typically have incomplete or complete right bundle branch block, right precordial T wave abnormalities, and occasionally epsilon waves. Her QT interval is normal, but excluding long‐QT syndrome with a single ECG has poor sensitivity. The next critical step is to document her cardiac rhythm during symptoms and to exclude malignant arrhythmias.
An event recorder and exercise echocardiogram were ordered. While the patient was wearing her event recorder, she had 4 episodes of exertional syncope while hiking and successfully triggered event recording before losing consciousness. She had chest pain and left arm pain after regaining consciousness. The patient came to the emergency room for evaluation. Her blood pressure was 116/80 mm Hg supine and 112/70 mm Hg seated. Her heart rate increased from 82 supine to 132 seated. The physical examination was unremarkable. ECG showed sinus rhythm with frequent PVCs. Troponin‐I measurements 10 hours apart were 0.7 and 0.3 g/L (normal 1.1), with normal creatinine kinase and creatinine kinase MB fractions. Interrogation of the event recorder revealed multiple episodes of a narrow complex tachycardia with rates up to 180 bpm that correlated with symptoms (Figure 2). There were no episodes of wide complex tachycardia.
The patient was not hypotensive in the emergency room, but she had evidence of a marked orthostatic tachycardia. The minimal but significant troponin elevations are also troubling. Although her clinical picture is not consistent with an acute coronary syndrome, I am concerned about other mechanisms of myocardial ischemia or injury, such as a coronary anomaly or subendocardial ischemia from globally reduced myocardial perfusion. The presence of event recorder data from her syncopal events was fortuitous and revealed a supraventricular tachycardia. The arrhythmia was gradual in onset and resolution and had no triggers, such as premature atrial or ventricular complexes, which could suggest reentrant arrhythmias. The P wave morphology was also unchanged, and this argues against an atrial tachycardia. These findings are consistent with sinus tachycardia, which was notably out of proportion to her workload. This arrhythmia may be the primary cause of syncope, such as in inappropriate sinus tachycardia, or it may be a compensatory mechanism. Tachycardia from coronary vasospasm is often preceded by ST segment changes, which are not seen here. Although the event recorder had no episodes of VT, the patient's persistent frequent PVCs are still of concern. I would obtain an echocardiogram to exclude structural heart disease and an exercise test to exclude exertional VT. Finally, coronary angiography may be helpful in excluding congenital anomalies.
The patient was admitted for evaluation. An exercise treadmill test was performed, and the patient exercised 20 min on the standard Bruce protocol with a peak heart rate of 180 bpm. The test was notable for a premature rise in heart rate (in stage 1) without a rise in blood pressure. There were no symptoms or ST/T wave changes. Transthoracic echocardiogram showed normal left ventricular size and function with normal anatomy, valves, and hemodynamics. Coronary angiography showed a right dominant system with normal anatomy and no atherosclerotic disease.
Ventricular arrhythmias could not be elicited with exercise. Her high exercise tolerance virtually excluded hemodynamically significant structural or valvular disease, and this was confirmed by the echocardiogram. Coronary angiography excluded coronary anomalies and myocardial bridging. The most intriguing finding is the rise in the patient's heart rate out of proportion to the workload. This, along with her orthostatic tachycardia, raises the issue of inappropriate sinus tachycardia or postural orthostatic tachycardia syndrome (POTS). Carotid hypersensitivity is also a possibility. The patient was hiking when she fainted, and even light pressure on the patient's neck with head turning or from a camera strap, for example, could produce syncope. Although carotid hypersensitivity usually results in sinus bradycardia and AV block, it may be followed by reflex tachycardia, which was seen in this patient's event recordings. I would perform a tilt‐table test with carotid massage to make the diagnosis.
Tilt‐table testing was performed (Figure 3). Her supine blood pressure was 128/68 mm Hg, and her heart rate was 72 bpm with no change during the 10‐min supine period. Upon elevation to a 70‐degree tilt, the patient had an immediate increase in her heart rate to 160 bpm with a blood pressure nadir of 109/58 mm Hg and symptoms of palpitations, dizziness, dyspnea, chest pain, blurry vision, and nausea. Her peak heart rate was 172 bpm, and her peak blood pressure was 122/72 mm Hg. Vital signs did not change in response to carotid sinus massage in the supine or upright positions.
The tilt‐table test has 3 notable findings. First, her heart rate increased rapidly with tilt and decreased rapidly in supine recovery. Second, her usual symptoms started immediately after tilt and quickly resolved in recovery when vital signs returned to baseline. Finally, there was only a modest drop in blood pressure. These findings are classic for POTS. POTS is defined as symptomatic orthostasis with a heart rate increase of 30 bpm or a heart rate of 120 bpm. The physiologic lesions found in the syndrome are heterogeneous, but they all lead to a failure of orthostatic compensation. In POTS, the tachycardia is a reflex secondary to hypotension (baroreceptor reflex) or reduced preload (cardiac mechanoreceptors), in contrast to inappropriate sinus tachycardia. Interestingly, blood pressure is usually preserved until the final moments preceding syncope, when venous return further declines, tachycardia decreases the diastolic filling time and stroke volume, and mean arterial pressure sharply falls.
The patient was started on labetalol (200 mg 3 times daily), and her symptoms worsened. She also developed nausea and constipation. Midodrine and pindolol were also tried without success. She was then switched to fludrocortisone, salt supplementation, and leg support stockings with dramatic improvement.
COMMENTARY
In 1871, DeCosta1 published a report on the irritable heart, noting an affliction of extreme fatigue and exercise intolerance that occurred suddenly and without obvious cause. Subsequently, the terms vasoregulatory asthenia and neurocirculatory asthenia were used to link cardiovascular symptoms to impaired regulation of peripheral blood flow.2, 3 The term POTS was first used in 1982 to describe a single patient with postural tachycardia without hypotension and palpitations, weakness, abdominal pain, and presyncope.4
POTS is one of several disorders of autonomic control associated with orthostatic intolerance. The criteria for diagnosis are listed in Table 1. POTS typically occurs in women between the ages of 15 and 50 but tends to present during adolescence or young adulthood. The physiology has only recently been elucidated. When a person stands, 500 cc of the total blood volume is displaced to the dependent extremities and inferior mesenteric vessels.5 Normally, orthostatic stabilization occurs in less than 1 minute via 3 mechanisms: baroreceptor input, sympathetic reflex tachycardia and vasoconstriction, and enhanced venous return via the pumping action of skeletal muscles and venoconstriction. In POTS, there is a failure of at least one of these mechanisms, leading to decreased venous return, a 40% reduction in stroke volume, and cerebral hypoperfusion.6
| 1. Consistent symptoms of orthostatic intolerance [may include excessive fatigue, exercise intolerance, recurrent syncope or near syncope, dizziness, nausea, tachycardia, palpitations, visual disturbances, blurred vision, tunnel vision, tremulousness, weakness (most noticeable in the legs), chest discomfort, shortness of breath, mood swings, and gastrointestinal complaints] |
| 2. Heart rate increase 30 bpm or heart rate 120 bpm within 10 min of standing or head‐up tilt |
| 3. Absence of a known cause of autonomic neuropathy |
POTS is divided into 2 major subtypes on the basis of pathophysiology.5, 7 The partial dysautonomic form is the most common and the type that this patient most likely had. In this form, the development of an acquired peripheral autonomic neuropathy results in a failure of sympathetic venoconstriction, which leads to excessive venous pooling in the lower extremities and splanchnic circulation.8, 9 Failure to mobilize this venous reservoir upon standing leads to excessive orthostatic tachycardia secondary to a marked reduction in stroke volume. Peripheral arterial vasoconstriction is generally preserved, which is why midodrine, an arterial vasoconstrictor, did not improve symptoms. The labetalol may have further exacerbated peripheral pooling because of its alpha‐adrenergic blocking properties. Because total plasma volume is decreased and plasma renin activity is inappropriately low,10 volume expanders, including salt, low‐dose steroids, and fluids, can attenuate symptoms.11 The extrinsic venous compression from leg and abdominal support stockings may also dramatically reduce venous pooling.
In the less common hyperadrenergic form of POTS, patients may have orthostatic hypertension, tremulousness, cold, sweaty extremities, and anxiety due to an exaggerated response to beta‐adrenergic stimulation.7 The excessive sympathetic activity, which is poorly modulated by baroreflex activity, may be due to impaired mechanisms of norepinephrine reuptake by sympathetic ganglia.12 Consequently, serum norepinephrine levels are markedly elevated (>600 pg/mL).5
In adults, the presence of a POTS trigger is common and is usually an antecedent viral illness. Antibodies to the ganglionic acetylcholine receptor have been found in a subset of POTS patients,13 and this may suggest an idiopathic or postinflammatory autoimmune mechanism.14 This patient's presentation is unique because her symptoms developed after C5C6 spine surgery. The cervical spinal cord and sympathetic ganglia are dense with nerves involved in autonomic cardiovascular control, and damage to these fibers could explain the patient's physiology and symptoms. Among these, the descending vasomotor pathways traverse through the C5C8 area to innervate the splanchnic and leg venous circulation, receiving input from the heart along the way.15 The pattern of numbness and tingling fits the C5/C6 dermatomal distribution, as does the innervation of the radial artery. The frequent PVCs with a left bundle branch block pattern and inferior axis appear to arise from the right ventricular outflow tract and may be associated with regional sympathetic denervation, which has been described in idiopathic ventricular arrhythmias.16 POTS has been anecdotally reported after neck injury from motor vehicle accidents (whiplash), which is also thought to be related to cervical sympathetic nerve damage (B.P. Grubb, personal communication, 2005). Most cases of triggered POTS improve spontaneously after months to years, but this patient's prognosis remains uncertain because of the presumed mechanical disruption of the autonomic nerve fibers at the time of surgery.
This case demonstrates the complexities of arriving at a unifying diagnosis in the setting of a constellation of nonspecific symptoms and findings, some of which even suggest life‐threatening conditions. Because young women are primarily affected, symptoms of POTS can be mistakenly attributed to anxiety or other nonphysiological factors. A systematic approach excluded life‐threatening causes, including primary ventricular arrhythmias, coronary vasospasm, and coronary anomalies. The investigations narrowed the differential diagnosis, and the tilt‐table test confirmed POTS. Because the cardiac and circulatory dysautonomias encompass an array of distinct physiologic processes, understanding the patient's mechanism is critical to her management. The only effective therapies were those that counteracted venous pooling and improved venous return.
Teaching Points
-
The differential diagnosis of exertional syncope is extremely broad, ranging from benign to malignant conditions, and requires a systematic evaluation of the heart and circulatory system.
-
The diagnosis of POTS is elusive and frequently missed. Referral for tilt‐table testing is useful in identifying the mechanism of sinus tachycardia and syncope. Marked orthostatic tachycardia and symptoms of cerebral hypoperfusion out of proportion to the degree of hypotension strongly suggest POTS.
-
Cardiac and circulatory dysautonomias have distinct and varied mechanisms. Therapies, including beta‐blockers, vasoconstrictors, and volume expanders, must be directed at the underlying physiological defect.
The approach to clinical conundrums by an expert clinician is revealed through presentation of an actual patient's case in an approach typical of morning report. Similar to patient care, sequential pieces of information are provided to the clinician who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant.
A30‐year‐old woman was referred for evaluation of chest pain, palpitations, and exercise intolerance. She had been previously healthy, active, and physically fit. Five months prior to our evaluation, she had an elective C5C6 cervical spine discectomy with interbody allograft fusion for a chronic neck injury that occurred 11 years ago during gymnastics. Two weeks after spine surgery, the patient developed numbness and tingling of her left thumb and palm that occurred with exertion or exposure to cold and subsided with rest. These episodes increased in frequency and intensity and after 1 week became associated with sharp, occasionally stabbing chest pain that radiated to the left arm. On one occasion, the patient had an episode of exertional chest pain with prolonged left arm cyanosis. Emergent left upper extremity angiography revealed normal great vessel anatomy with spasm of the radial artery and collateral ulnar flow. The patient was diagnosed with Raynaud's phenomenon and was started on nifedipine. A subsequent rheumatologic evaluation was unrevealing, and the patient was empirically switched to amlodipine with no improvement in symptoms.
This otherwise very healthy 30‐year‐old developed a multitude of symptoms. The patient's chest pain is atypical and in a young woman is unlikely to signify atherosclerotic coronary disease, but it should not be entirely disregarded. Vasospasm triggered by exposure to cold does raise suspicion for Raynaud's phenomenon, which is not uncommon in this demographic. However, this presentation is quite unusual because the vasospasm was limited to one vascular distribution of one extremity. Associated coronary vasospasm could explain the other symptoms, although coronary spasm is generally not associated with Raynaud's phenomenon. Vasculitis may also affect the pulmonary vasculature, leading to pulmonary hypertension and exercise intolerance. The temporal association with her spine surgery is intriguing but of unclear significance.
The patient continued to have frequent exertional episodes of sharp precordial chest pain radiating to her left arm that were accompanied by dyspnea and left upper extremity symptoms despite amlodipine therapy. These now occurred with limited activity when she walked 1 to 2 blocks uphill. Over the previous 2 months, she had also noticed palpitations occurring reliably with exercise that were relieved with 15 to 20 min of rest. With prolonged episodes, she reported dizziness, nausea, and blurry vision that improved with lying down. She twice had syncope with these symptoms. She noted lower extremity edema while taking calcium channel blockers, but this had resolved after discontinuation of the drugs.
The patient's past medical history included several high‐school orthopedic injuries. She had 2 kidney stones at ages 18 and 23 and had an appendectomy at age 28. Her only medication was an oral contraceptive, and she had discontinued the amlodipine. She denied the use of tobacco, alcohol, herbal medications, or illicit substances. There was no family history of sudden death or heart disease.
Palpitations in a 30‐year‐old woman may signify a cardiac arrhythmia. Paroxysmal supraventricular arrhythmias, such as atrioventricular nodal reentrant tachycardia, atrial tachycardia, and atrial fibrillation, are well described in the young. Ventricular tachycardia (VT) is another possible cause and could be idiopathic or related to occult structural heart disease. Young patients typically tolerate lone arrhythmias quite well, and her failure to do so raises suspicion for concomitant structural heart disease. Her palpitations may be from appropriate sinus tachycardia, which could be compensatory because of inadequate cardiac output reserve, which in turn could be caused by valvular disease, congenital heart disease, or ventricular dysfunction. The exertional chest pain is worrisome for ischemia. Pulmonary hypertension, severe ventricular hypertrophy, or congenital anomalies of the coronary circulation could lead to subendocardial myocardial ischemia with exertion, resulting in angina, dyspnea, and arrhythmias. However, the patient also experiences exertional palpitations without chest pain, which may signify an exertional tachyarrhythmia possibly mediated by catecholamines. Based solely on the history, the differential diagnosis remains broad.
On physical examination, the patient was a fit, thin, healthy woman. Her blood pressure was 120/70 mm Hg supine in both arms and 115/75 mm Hg standing; her pulse was 85 supine and 110 standing, Oxygen saturation was 100% on room air. A cardiac exam revealed a normal jugular venous pressure, normal point of maximal impulse, regular rhythm with occasional ectopy, normal S1, and physiologically split S2 without extra heart sounds or murmurs. The right ventricular impulse was faintly palpable at the left sternal border. Head, neck, chest, abdominal, musculoskeletal, neurologic, extremity, and peripheral pulse examinations were normal.
Laboratory data showed a normal complete blood count and normal chemistries. Serum tests for hepatitis C antibody, cardiolipin antibody, rheumatoid factor, cryoglobulins, and anti‐nuclear antibody were negative. The erythrocyte sedimentation rate and thyroid stimulating hormone levels were within normal limits. An electrocardiogram (ECG) demonstrated a normal sinus rhythm with frequent premature ventricular complexes (PVCs) and normal axis and intervals. (Figure 1). The PR segment was normal and without preexcitation. A prior ECG from 3 months ago was similar with ventricular trigeminy.
Her unremarkable cardiac examination does not favor structural or valvular heart disease, and there are no obvious stigmata of vasculitis. She did become mildly tachycardic upon standing, and this raises the possibility of orthostatic tachycardia. A comprehensive rheumatologic panel revealed no evidence of autoimmune disease or vasculitis, and the clinical constellation is not consistent with primary or secondary Raynaud's disease. The ECG demonstrates frequent monomorphic PVCs complexes with a left bundle branch block pattern and an inferior axis. This pattern suggests that the PVCs arise from the right ventricular outflow tract. Idiopathic right ventricular outflow tract VT and arrhythmogenic right ventricular dysplasia must be considered as a cause of exertional or catecholamine‐mediated tachycardia. The normal ECG argues against arrhythmogenic right ventricular dysplasia, in which patients typically have incomplete or complete right bundle branch block, right precordial T wave abnormalities, and occasionally epsilon waves. Her QT interval is normal, but excluding long‐QT syndrome with a single ECG has poor sensitivity. The next critical step is to document her cardiac rhythm during symptoms and to exclude malignant arrhythmias.
An event recorder and exercise echocardiogram were ordered. While the patient was wearing her event recorder, she had 4 episodes of exertional syncope while hiking and successfully triggered event recording before losing consciousness. She had chest pain and left arm pain after regaining consciousness. The patient came to the emergency room for evaluation. Her blood pressure was 116/80 mm Hg supine and 112/70 mm Hg seated. Her heart rate increased from 82 supine to 132 seated. The physical examination was unremarkable. ECG showed sinus rhythm with frequent PVCs. Troponin‐I measurements 10 hours apart were 0.7 and 0.3 g/L (normal 1.1), with normal creatinine kinase and creatinine kinase MB fractions. Interrogation of the event recorder revealed multiple episodes of a narrow complex tachycardia with rates up to 180 bpm that correlated with symptoms (Figure 2). There were no episodes of wide complex tachycardia.
The patient was not hypotensive in the emergency room, but she had evidence of a marked orthostatic tachycardia. The minimal but significant troponin elevations are also troubling. Although her clinical picture is not consistent with an acute coronary syndrome, I am concerned about other mechanisms of myocardial ischemia or injury, such as a coronary anomaly or subendocardial ischemia from globally reduced myocardial perfusion. The presence of event recorder data from her syncopal events was fortuitous and revealed a supraventricular tachycardia. The arrhythmia was gradual in onset and resolution and had no triggers, such as premature atrial or ventricular complexes, which could suggest reentrant arrhythmias. The P wave morphology was also unchanged, and this argues against an atrial tachycardia. These findings are consistent with sinus tachycardia, which was notably out of proportion to her workload. This arrhythmia may be the primary cause of syncope, such as in inappropriate sinus tachycardia, or it may be a compensatory mechanism. Tachycardia from coronary vasospasm is often preceded by ST segment changes, which are not seen here. Although the event recorder had no episodes of VT, the patient's persistent frequent PVCs are still of concern. I would obtain an echocardiogram to exclude structural heart disease and an exercise test to exclude exertional VT. Finally, coronary angiography may be helpful in excluding congenital anomalies.
The patient was admitted for evaluation. An exercise treadmill test was performed, and the patient exercised 20 min on the standard Bruce protocol with a peak heart rate of 180 bpm. The test was notable for a premature rise in heart rate (in stage 1) without a rise in blood pressure. There were no symptoms or ST/T wave changes. Transthoracic echocardiogram showed normal left ventricular size and function with normal anatomy, valves, and hemodynamics. Coronary angiography showed a right dominant system with normal anatomy and no atherosclerotic disease.
Ventricular arrhythmias could not be elicited with exercise. Her high exercise tolerance virtually excluded hemodynamically significant structural or valvular disease, and this was confirmed by the echocardiogram. Coronary angiography excluded coronary anomalies and myocardial bridging. The most intriguing finding is the rise in the patient's heart rate out of proportion to the workload. This, along with her orthostatic tachycardia, raises the issue of inappropriate sinus tachycardia or postural orthostatic tachycardia syndrome (POTS). Carotid hypersensitivity is also a possibility. The patient was hiking when she fainted, and even light pressure on the patient's neck with head turning or from a camera strap, for example, could produce syncope. Although carotid hypersensitivity usually results in sinus bradycardia and AV block, it may be followed by reflex tachycardia, which was seen in this patient's event recordings. I would perform a tilt‐table test with carotid massage to make the diagnosis.
Tilt‐table testing was performed (Figure 3). Her supine blood pressure was 128/68 mm Hg, and her heart rate was 72 bpm with no change during the 10‐min supine period. Upon elevation to a 70‐degree tilt, the patient had an immediate increase in her heart rate to 160 bpm with a blood pressure nadir of 109/58 mm Hg and symptoms of palpitations, dizziness, dyspnea, chest pain, blurry vision, and nausea. Her peak heart rate was 172 bpm, and her peak blood pressure was 122/72 mm Hg. Vital signs did not change in response to carotid sinus massage in the supine or upright positions.
The tilt‐table test has 3 notable findings. First, her heart rate increased rapidly with tilt and decreased rapidly in supine recovery. Second, her usual symptoms started immediately after tilt and quickly resolved in recovery when vital signs returned to baseline. Finally, there was only a modest drop in blood pressure. These findings are classic for POTS. POTS is defined as symptomatic orthostasis with a heart rate increase of 30 bpm or a heart rate of 120 bpm. The physiologic lesions found in the syndrome are heterogeneous, but they all lead to a failure of orthostatic compensation. In POTS, the tachycardia is a reflex secondary to hypotension (baroreceptor reflex) or reduced preload (cardiac mechanoreceptors), in contrast to inappropriate sinus tachycardia. Interestingly, blood pressure is usually preserved until the final moments preceding syncope, when venous return further declines, tachycardia decreases the diastolic filling time and stroke volume, and mean arterial pressure sharply falls.
The patient was started on labetalol (200 mg 3 times daily), and her symptoms worsened. She also developed nausea and constipation. Midodrine and pindolol were also tried without success. She was then switched to fludrocortisone, salt supplementation, and leg support stockings with dramatic improvement.
COMMENTARY
In 1871, DeCosta1 published a report on the irritable heart, noting an affliction of extreme fatigue and exercise intolerance that occurred suddenly and without obvious cause. Subsequently, the terms vasoregulatory asthenia and neurocirculatory asthenia were used to link cardiovascular symptoms to impaired regulation of peripheral blood flow.2, 3 The term POTS was first used in 1982 to describe a single patient with postural tachycardia without hypotension and palpitations, weakness, abdominal pain, and presyncope.4
POTS is one of several disorders of autonomic control associated with orthostatic intolerance. The criteria for diagnosis are listed in Table 1. POTS typically occurs in women between the ages of 15 and 50 but tends to present during adolescence or young adulthood. The physiology has only recently been elucidated. When a person stands, 500 cc of the total blood volume is displaced to the dependent extremities and inferior mesenteric vessels.5 Normally, orthostatic stabilization occurs in less than 1 minute via 3 mechanisms: baroreceptor input, sympathetic reflex tachycardia and vasoconstriction, and enhanced venous return via the pumping action of skeletal muscles and venoconstriction. In POTS, there is a failure of at least one of these mechanisms, leading to decreased venous return, a 40% reduction in stroke volume, and cerebral hypoperfusion.6
| 1. Consistent symptoms of orthostatic intolerance [may include excessive fatigue, exercise intolerance, recurrent syncope or near syncope, dizziness, nausea, tachycardia, palpitations, visual disturbances, blurred vision, tunnel vision, tremulousness, weakness (most noticeable in the legs), chest discomfort, shortness of breath, mood swings, and gastrointestinal complaints] |
| 2. Heart rate increase 30 bpm or heart rate 120 bpm within 10 min of standing or head‐up tilt |
| 3. Absence of a known cause of autonomic neuropathy |
POTS is divided into 2 major subtypes on the basis of pathophysiology.5, 7 The partial dysautonomic form is the most common and the type that this patient most likely had. In this form, the development of an acquired peripheral autonomic neuropathy results in a failure of sympathetic venoconstriction, which leads to excessive venous pooling in the lower extremities and splanchnic circulation.8, 9 Failure to mobilize this venous reservoir upon standing leads to excessive orthostatic tachycardia secondary to a marked reduction in stroke volume. Peripheral arterial vasoconstriction is generally preserved, which is why midodrine, an arterial vasoconstrictor, did not improve symptoms. The labetalol may have further exacerbated peripheral pooling because of its alpha‐adrenergic blocking properties. Because total plasma volume is decreased and plasma renin activity is inappropriately low,10 volume expanders, including salt, low‐dose steroids, and fluids, can attenuate symptoms.11 The extrinsic venous compression from leg and abdominal support stockings may also dramatically reduce venous pooling.
In the less common hyperadrenergic form of POTS, patients may have orthostatic hypertension, tremulousness, cold, sweaty extremities, and anxiety due to an exaggerated response to beta‐adrenergic stimulation.7 The excessive sympathetic activity, which is poorly modulated by baroreflex activity, may be due to impaired mechanisms of norepinephrine reuptake by sympathetic ganglia.12 Consequently, serum norepinephrine levels are markedly elevated (>600 pg/mL).5
In adults, the presence of a POTS trigger is common and is usually an antecedent viral illness. Antibodies to the ganglionic acetylcholine receptor have been found in a subset of POTS patients,13 and this may suggest an idiopathic or postinflammatory autoimmune mechanism.14 This patient's presentation is unique because her symptoms developed after C5C6 spine surgery. The cervical spinal cord and sympathetic ganglia are dense with nerves involved in autonomic cardiovascular control, and damage to these fibers could explain the patient's physiology and symptoms. Among these, the descending vasomotor pathways traverse through the C5C8 area to innervate the splanchnic and leg venous circulation, receiving input from the heart along the way.15 The pattern of numbness and tingling fits the C5/C6 dermatomal distribution, as does the innervation of the radial artery. The frequent PVCs with a left bundle branch block pattern and inferior axis appear to arise from the right ventricular outflow tract and may be associated with regional sympathetic denervation, which has been described in idiopathic ventricular arrhythmias.16 POTS has been anecdotally reported after neck injury from motor vehicle accidents (whiplash), which is also thought to be related to cervical sympathetic nerve damage (B.P. Grubb, personal communication, 2005). Most cases of triggered POTS improve spontaneously after months to years, but this patient's prognosis remains uncertain because of the presumed mechanical disruption of the autonomic nerve fibers at the time of surgery.
This case demonstrates the complexities of arriving at a unifying diagnosis in the setting of a constellation of nonspecific symptoms and findings, some of which even suggest life‐threatening conditions. Because young women are primarily affected, symptoms of POTS can be mistakenly attributed to anxiety or other nonphysiological factors. A systematic approach excluded life‐threatening causes, including primary ventricular arrhythmias, coronary vasospasm, and coronary anomalies. The investigations narrowed the differential diagnosis, and the tilt‐table test confirmed POTS. Because the cardiac and circulatory dysautonomias encompass an array of distinct physiologic processes, understanding the patient's mechanism is critical to her management. The only effective therapies were those that counteracted venous pooling and improved venous return.
Teaching Points
-
The differential diagnosis of exertional syncope is extremely broad, ranging from benign to malignant conditions, and requires a systematic evaluation of the heart and circulatory system.
-
The diagnosis of POTS is elusive and frequently missed. Referral for tilt‐table testing is useful in identifying the mechanism of sinus tachycardia and syncope. Marked orthostatic tachycardia and symptoms of cerebral hypoperfusion out of proportion to the degree of hypotension strongly suggest POTS.
-
Cardiac and circulatory dysautonomias have distinct and varied mechanisms. Therapies, including beta‐blockers, vasoconstrictors, and volume expanders, must be directed at the underlying physiological defect.
- .An irritable heart.Am J Med Sci.1871;27:145–161.
- ,,,,,.Low physical working capacity in suspected heart cases due to inadequate adjustment of peripheral blood flow (vasoregulatory asthenia).Acta Med Scand.1957;158(6):413–436.
- ,,.Orthostatic tachycardia and orthostatic hypotension: defects in the return of venous blood to the heart.Am Heart J.1944;27:145–163.
- ,.Postural tachycardia syndrome. Reversal of sympathetic hyperresponsiveness and clinical improvement during sodium loading.Am J Med.1982;72(5):847–850.
- ,,.The postural orthostatic tachycardia syndrome: definitions, diagnosis, and management.Pacing Clin Electrophysiol.2003;26(8):1747– 1757.
- ,.Clinical disorders of the autonomic nervous system associated with orthostatic intolerance: an overview of classification, clinical evaluation, and management.Pacing Clin Electrophysiol.1999;22(5):798–810.
- ,.Idiopathic orthostatic intolerance and postural tachycardia syndromes.Am J Med Sci.1999;317(2):88–101.
- ,,, et al.Splanchnic‐mesenteric capacitance bed in the postural tachycardia syndrome (POTS).Auton Neurosci.2000;86(1–2):107–113.
- ,,,.Abnormal orthostatic changes in blood pressure and heart rate in subjects with intact sympathetic nervous function: evidence for excessive venous pooling.J Lab Clin Med.1988;111(3):326–335.
- ,,, et al.Renin‐aldosterone paradox and perturbed blood volume regulation underlying postural tachycardia syndrome.Circulation.2005;111(13):1574–1582.
- .Clinical practice. Neurocardiogenic syncope.N Engl J Med.2005;352(10):1004–1010.
- ,,, et al.Orthostatic intolerance and tachycardia associated with norepinephrine‐transporter deficiency.N Engl J Med.2000;342(8):541–549.
- ,,,,,.Autoantibodies to ganglionic acetylcholine receptors in autoimmune autonomic neuropathies.N Engl J Med.2000;343(12):847–855.
- ,,.The postural tachycardia syndrome: a concise guide to diagnosis and management.J Cardiovasc Electrophysiol.2006;17(1):108–112.
- ,,.Neurovegetative regulation of the vascular system. In:Lanzer P,Topol EJ, eds.Panvascular Medicine.Berlin, Germany:Springer‐Verlag;2002:175–187.
- ,,, et al.Regional cardiac sympathetic denervation in patients with ventricular tachycardia in the absence of coronary artery disease.J Am Coll Cardiol.1993;22(5):1344–1353.
- .An irritable heart.Am J Med Sci.1871;27:145–161.
- ,,,,,.Low physical working capacity in suspected heart cases due to inadequate adjustment of peripheral blood flow (vasoregulatory asthenia).Acta Med Scand.1957;158(6):413–436.
- ,,.Orthostatic tachycardia and orthostatic hypotension: defects in the return of venous blood to the heart.Am Heart J.1944;27:145–163.
- ,.Postural tachycardia syndrome. Reversal of sympathetic hyperresponsiveness and clinical improvement during sodium loading.Am J Med.1982;72(5):847–850.
- ,,.The postural orthostatic tachycardia syndrome: definitions, diagnosis, and management.Pacing Clin Electrophysiol.2003;26(8):1747– 1757.
- ,.Clinical disorders of the autonomic nervous system associated with orthostatic intolerance: an overview of classification, clinical evaluation, and management.Pacing Clin Electrophysiol.1999;22(5):798–810.
- ,.Idiopathic orthostatic intolerance and postural tachycardia syndromes.Am J Med Sci.1999;317(2):88–101.
- ,,, et al.Splanchnic‐mesenteric capacitance bed in the postural tachycardia syndrome (POTS).Auton Neurosci.2000;86(1–2):107–113.
- ,,,.Abnormal orthostatic changes in blood pressure and heart rate in subjects with intact sympathetic nervous function: evidence for excessive venous pooling.J Lab Clin Med.1988;111(3):326–335.
- ,,, et al.Renin‐aldosterone paradox and perturbed blood volume regulation underlying postural tachycardia syndrome.Circulation.2005;111(13):1574–1582.
- .Clinical practice. Neurocardiogenic syncope.N Engl J Med.2005;352(10):1004–1010.
- ,,, et al.Orthostatic intolerance and tachycardia associated with norepinephrine‐transporter deficiency.N Engl J Med.2000;342(8):541–549.
- ,,,,,.Autoantibodies to ganglionic acetylcholine receptors in autoimmune autonomic neuropathies.N Engl J Med.2000;343(12):847–855.
- ,,.The postural tachycardia syndrome: a concise guide to diagnosis and management.J Cardiovasc Electrophysiol.2006;17(1):108–112.
- ,,.Neurovegetative regulation of the vascular system. In:Lanzer P,Topol EJ, eds.Panvascular Medicine.Berlin, Germany:Springer‐Verlag;2002:175–187.
- ,,, et al.Regional cardiac sympathetic denervation in patients with ventricular tachycardia in the absence of coronary artery disease.J Am Coll Cardiol.1993;22(5):1344–1353.
Tobacco, Alcohol, and Drug Use Among Hospital Patients
Population‐based surveys of the adult US population estimate a prevalence of smoking of 25% and a prevalence of hazardous alcohol or illegal drug use of 23% and 8% respectively,1 with frequent concurrent use of these substances.2 The mortality associated with smoking and substance use is extremely high with tobacco first, alcohol third, and illicit drug use ninth as the leading causes of death in the US.3 Worldwide, the burden of disease from tobacco, alcohol, and illicit drugs accounts for almost 10% of all disability‐adjusted life years.4 Despite the availability of effective treatments,57 many patients do not receive professional intervention and few are offered comprehensive programs that address all of their harmful substance use.
Interventions have been successfully implemented for hospitalized smokers. Earlier work by Emmons8 and Orleans9 suggests that many smokers seek assistance to quit smoking during hospitalization. Over the past 15 years, hospital‐based smoking cessation interventions have been successfully implemented.10 Although mute on hospital‐based settings, the United States Preventive Service Task Force recommends screening and counseling interventions to reduce alcohol misuse among adults seen in primary care settings (B recommendation).6 Referral to specialized care is the accepted standard for most patients with substance dependence disorders7 regardless of the medical setting in which the diagnosis is made. Hospitalization provides a unique opportunity to initiate change in harmful substance use and smoking;11 however, interventions rarely are coordinated.
A high prevalence of smoking among substance users has been reported from population‐based surveys1215 and among patients in substance use treatment facilities.1618 Rates of concurrent smoking and substance use range from 35%44% in population‐based studies and may reach 80% in populations seeking substance use treatment.19 A recent hospital‐based study found at‐risk alcohol users were 3 times more likely to smoke.20 There are limited data describing concurrent smoking and substance use in the hospital population,15 and no reports describing the association between patients' willingness to quit smoking and readiness to change substance use behavior.
To better inform hospital‐based smoking and substance use intervention strategies, the epidemiology of smoking and substance use in the hospital population needs to be better described. Furthermore, there may be opportunities for synergy between these programs. In this study, we screened inpatients from multiple services at 2 hospitals for tobacco, alcohol, and illicit substance use. We report the prevalence and co‐occurrence of these behaviors and willingness to quit smoking among patients with and without at‐risk substance use.
METHODS
Data for this study were obtained for a 5‐year Substance Abuse and Mental Health Services Administration (SAMHSA) grant to the Illinois Office of the Governor. The grant was awarded to implement screening, brief intervention, brief treatment, and referral to treatment programs for patients of the Cook County Bureau of Health Services who had alcohol or other drug use disorders. We analyzed data collected from nonIntensive Care Unit patients who had been hospitalized on the internal medicine, family practice, HIV, or surgery services at John H. Stroger Jr Hospital of Cook County (formerly Cook County Hospital, a 464‐bed public, tertiary‐care hospital) or Provident Hospital of Cook County (a 100‐bed public community hospital), in Chicago, Illinois. Because internal medicine and family practice patients were similar in demographic characteristics and interview responses, we considered these as a single service. There is an HIV service at Stroger Hospital; all HIV‐infected patients are admitted or transferred to this service. For each patient, we used data collected from their initial hospitalization during a 9‐month study period (April 1, 2006 through December 31, 2006). Using hospital admission data, we estimated that 65% of patients were interviewed by a counselor; only 5% of patients could not be interviewed due to patient refusal or mental status changes.
Patients were screened for alcohol use, drug use, and smoking history by bedside interview. We defined at‐risk substance use as any illicit drug use within the previous 3 months or alcohol use that exceeded the National Institute for Alcohol Abuse and Alcoholism (NIAAA) guidelines for low‐risk drinking (no more than 5 drinks per day or 14 drinks per week for men up to age 65; no more than 3 drinks per day or 7 drinks per week for men over 65 and women). Based on their responses to questions about smoking history, patients were categorized into the following 4 groups: current smokers (ie, smoked within the previous 7 days), recent quitters (ie, quit within 8 days and 6 months), ex‐smokers (quit more than 6 months ago), or never smokers. Current smokers were also asked about their heaviness of smoking and willingness to quit. All smokers received a counseling session during hospitalization. All smokers who indicated a desire to quit were encouraged to call the Illinois Quitline after hospital discharge. Individuals who smoked between 10‐14 cigarettes per day and smoked their first cigarette within 30 minutes of waking or who smoked 15 or more cigarettes per day were classified as moderate or heavy smokers; all other smokers were classified as light smokers. We established these cut‐points by modifying the Public Health Service guideline and Heaviness of Smoking Index.5, 21, 22 The heaviness of smoking classification was used to guide recommendations to the primary service regarding the appropriateness of nicotine patch therapy during and after hospitalization. For moderate to heavy smokers who were willing to quit, the recommendation was to continue nicotine replacement after hospitalization.5
Patients were considered low health risk if their alcohol use did not exceed NIAAA guidelines and they reported no recent drug use. For all patients who reported alcohol use that exceeded the NIAAA guidelines or recent drug use, we administered the Texas Christian University Drug Screen II (TCU)23 to further characterize the severity of their use. Patients who had a TCU score of 3 were considered at‐risk substance users with substance dependence disorder; patients with scores of 2 or less were considered at‐risk substance users without dependence. Among all at‐risk substance users, we used a 10‐point visual analog scale to assess their readiness to change substance use. After evaluating the distribution and clustering of scores, we prespecified that a score 8 was indicative of a patient being ready to change their substance use behavior. This ruler has been successfully implemented as part of the Brief Negotiated Interview and Active Referral to Treatment Institute toolbox.24
Analysis
To facilitate comparison with other data sources, we used the same age categories as the National Survey on Drug Use and Health.1 Differences between proportions were evaluated by the chi‐squared test. We analyzed the trend in smoking behavior across the strata of substance use (ie, number of substances used and severity of use) using the Cochrane‐Armitage test for trend. To evaluate the association between substance use and smoking, multivariable models were constructed that included terms to adjust for age, race, gender, and hospital service; potential confounders (eg, age, race, gender, and service) were included in the final model if they significantly contributed to the outcome variable (P < 0.1). From these multivariable models, prevalence ratios were estimated using the binary log transformation in PROC GENMOD.25, 26 All data were analyzed using SAS version 9.0 (SAS Institute Inc., Cary, NC).
RESULTS
Patient Characteristics
Of the 7,714 unique patients interviewed at the 2 hospitals, we had data on smoking status for 7,391 (96%) (Table 1). The mean age was 50 years, most were male, cared for by the internal medicine or family practice service, and the most common racial/ethnic category was non‐Hispanic Black, followed by Hispanic, non‐Hispanic White, and Asian (Table 1). More than one‐quarter of patients reported at‐risk substance use other than tobacco; the most common substance used was alcohol followed by cocaine, marijuana, and then heroin (Table 1). Most patients who were at‐risk substance users (52%) met criteria for substance dependence disorder.23
| Characteristic | N | (%) | Smoking prevalence* (%) | Prevalence ratio (95% CI) | |
|---|---|---|---|---|---|
| |||||
| Age category | |||||
| 18‐25 | 479 | (6) | 35 | 2.6 | (2.1 to 3.1) |
| 26‐34 | 664 | (9) | 38 | 2.8 | (2.4 to 3.4) |
| 35‐44 | 1306 | (18) | 46 | 3.4 | (2.9 to 4.0) |
| 45‐54 | 2182 | (30) | 46 | 3.4 | (2.9 to 4.0) |
| 55‐64 | 1563 | (21) | 31 | 2.3 | (2.0 to 2.7) |
| 65 and older | 1185 | (16) | 13 | ref | |
| Race/Ethnicity | |||||
| Non Hispanic Black | 4990 | (68) | 45 | 3.0 | (2.2 to 4.0) |
| Non Hispanic White | 850 | (12) | 40 | 2.7 | (2.0 to 3.6) |
| Hispanic | 1222 | (17) | 19 | 1.3 | (0.9 to 1.7) |
| Asian | 253 | (3) | 15 | ref | |
| Other | 27 | (<1) | |||
| Gender | |||||
| Male | 4279 | (58) | 42 | 1.5 | (1.4 to 1.6) |
| Female | 3099 | (42) | 29 | ref | |
| Service | |||||
| HIV | 227 | (3) | 52 | 1.7 | (1.5 to 2.0) |
| Internal medicine or | 6278 | (85) | 36 | 1.2 | (1.1 to 1.3) |
| family practice | |||||
| Surgery | 886 | (12) | 31 | ref | |
Tobacco Use
Many hospitalized patients were current smokers (36%) and 35% of current smokers were moderate to heavy smokers. The prevalence of smoking varied significantly by age category, race, gender, and service. By age category, the prevalence of smoking peaked at 3554 years with lower rates of smoking at either extreme of age (Table 1). Non‐Hispanic Blacks and Whites had a prevalence of smoking 3‐fold higher than Asians; Hispanics were less likely to smoke than non‐Hispanic Whites or Blacks. Men were more likely to smoke than women, and patients on the HIV or internal medicine/family practice services had a higher prevalence of smoking compared to patients on the surgery service (Table 1).
The proportion of current smokers who were moderate to heavy smokers was similar between patients with no‐risk or low‐risk substance use and those who had at‐risk substance use without dependence (32% versus 34%, respectively); however, current smokers who were substance‐dependent were 40% more likely to be moderate to heavy smokers (48%) (prevalence ratio [PR]: 1.4, 95% confidence interval [CI]: 1.1 to 1.9).
Concurrent Tobacco and Substance Use
Compared to patients who reported low‐risk substance use, patients with at‐risk substance use had a dramatically higher prevalence of smoking (Table 2). In addition, there was a significant increase in the likelihood of smoking across the 3 levels of substance use and the number of substances used (Table 2).
| N | (%) | Smoking prevalence (%) | Adjusted prevalence ratio (95% CI)* | ||
|---|---|---|---|---|---|
| |||||
| Risk Index | |||||
| Low Health Risk | 5419 | (73) | 24 | ref | |
| At‐Risk, not dependent | 945 | (13) | 64 | 2.2 | (2.0 to 2.3) |
| At‐Risk, dependent | 1027 | (14) | 75 | 2.5 | (2.3 to 2.6) |
| Specific substance use | |||||
| Low Health Risk | 5419 | (73) | 24 | ref | |
| At‐Risk Alcohol Use | 1171 | (16) | 68 | 2.2 | (2.1 to 2.4) |
| At‐ Risk Marijuana Use | 688 | (9) | 70 | 2.1 | (2.0 to 2.3) |
| At‐Risk Cocaine Use | 503 | (7) | 79 | 2.4 | (2.2 to 2.6) |
| At‐Risk Heroin Use | 448 | (6) | 82 | 2.4 | (2.2 to 2.6) |
| Number of drugs | |||||
| None | 5419 | (73) | 24 | ref | |
| One | 1284 | (17) | 64 | 2.2 | (2.0 to 2.3) |
| Two or more | 688 | (9) | 81 | 2.6 | (2.5 to 2.8) |
Willingness to Quit
Most patients (61%) who smoked were willing to immediately quit smoking. After adjusting for other demographic confounders, non‐Hispanic Blacks and the elderly (age > 65) were more willing to quit (P < 0.05, data not shown). The substance use risk categories of low risk, at‐risk, and dependence were not associated with willingness to quit tobacco (Fig. 1, left panel).
Regardless of substance use category, most patients were ready to change their substance use behavior (Fig. 1). Those patients who were ready to change their substance use behavior, regardless of whether they were substance‐dependent, were significantly more likely to report a willingness to quit smoking than those who were not ready to change (Fig. 1, right panel). In fact, at‐risk substance users without dependence who were ready to change their substance use were more willing to quit smoking than patients without at‐risk substance use (72% versus 64%; P < 0.05).
DISCUSSION
Among hospital patients, we found a 46% absolute increase in the prevalence of smoking among those who used illicit substances or alcohol above NIAAA guidelines compared to those who did not report such use. The prevalence of smoking increased across the spectrum of substance use, being highest for patients who met criteria for dependence. Also, patients who were substance dependent were more likely to be moderate to heavy smokers, suggesting an association between alcohol or other drug dependence disorders and nicotine dependence. Regardless of their patterns of substance use, most patients expressed a desire to immediately quit smoking and there was a strong association between willingness to quit smoking and readiness to reduce substance use.
In our hospital population, the prevalence of smoking among patients who use illicit drugs or at‐risk quantities of alcohol far exceeds estimates obtained from population‐based surveys. In addition to the relatively high prevalence of smoking, focusing attention on hospital patients who use substances is important for several other reasons. Individuals who use substances are less likely to receive health care from a primary care physician.28 Also, most patients who have substance use disorders do not enter treatment programs,1 even after hospitalization.29 Further, hospitals provide a setting that facilitates change; patients are temporarily required to stop smoking, and often they are available for relatively long counseling sessions. Finally, for patients without substance use disorders, hospital‐based smoking cessation intervention programs have been proven to be successful in several randomized controlled trials.10, 30
Because alcohol and drug use are so common among hospitalized smokers, it is unfortunate that there is little evidence from clinical trials to inform intervention strategies for patients with concurrent use. The clinical trials that form the evidence base for intervention among hospitalized smokers10 either have explicitly excluded patients who reported substance use,10, 15, 3133 did not assess baseline substance use,34, 35 or were underpowered to perform subgroup analyses on this population.36 Awaiting better evidence, we have chosen to routinely screen hospital patients for tobacco, alcohol, and drug use. For treatment strategies, we extrapolate the findings from successful interventions in the ambulatory setting37 or among hospital patients who do not use substances to our population. We offer smoking cessation interventions to patients regardless of other substance use.
Understanding the similarities and differences between smokers who use substances and those who do not is important in implementing successful strategies for smoking cessation. Rather than a step‐wise increase in heaviness of smoking across substance use categories (ie, no‐risk or low‐risk use, at‐risk use without dependence, and substance dependence), we found an increased heaviness of smoking only among substance‐dependent smokers; there was no difference in heaviness of smoking between those with at‐risk use without dependence and those with no‐risk or low‐risk use. Because interventions for patients who have nicotine dependence are more likely to succeed when pharmacotherapy is offered as an adjunct to behavior therapy,38 smokers who also are substance‐dependent likely will benefit from the addition of pharmacotherapy. One similarity is that all patients, regardless of substance use category, were willing to quit smoking. In fact, hospitalized smokers who were ready to change at‐risk substance use were more willing to quit smoking than patients who had no‐risk or low‐risk substance use. Previous investigators have found that smokers who use substances have fewer quit attempts,39 higher nicotine dependence,37, 39 and lower enrollment in smoking cessation interventions.38
Our study only includes data from patients at 2 public hospitals; therefore, our findings may not generalize to populations of higher socioeconomic status. Also, our smoking screening tool had relatively low sensitivity for categorizing current smokers as moderate to heavy smokers; therefore, we may have underestimated the number of moderate to heavy smokers.5, 22 Further, given our cross‐sectional study design, we were unable to evaluate whether patients who have at‐risk substance use remain willing to quit smoking after hospital discharge or to the effectiveness of our smoking cessation program. Finally, socially desirable responses may have caused patients to overstate their willingness to quit tobacco and readiness to change substance use. Additional research is needed to determine whether post‐hospitalization quit rates are similar between smokers with and without at‐risk substance use, and the optimal timing for smoking cessation interventions in relation to substance dependence treatment.40
Hospital patients who have substance use disorders are also highly likely to smoke, and these patients express a willingness to quit smoking. Given the frequency of concurrent smoking and other substance misuse and patients' desire to change both behaviors, there is a role for coordination of substance use and smoking cessation intervention programs.
- US Department of Health 24:201–208.
- ,,,.Actual causes of death in the United States, 2000.JAMA.2004;291:1238–1245.
- ,,.Global burden of disease from alcohol, illicit drugs and tobacco.Drug Alcohol Rev.2006;25:503–513.
- A clinical practice guideline for treating tobacco use and dependence,:A US Public Health Service report. The tobacco use and dependence clinical practice guideline panel, staff, and consortium representatives.JAMA.2000;283:3244–3254.
- ,,,,,U.S.Preventive Services Task Force. Behavioral counseling interventions in primary care to reduce risky/harmful alcohol use by adults: a summary of the evidence for the U.S. Preventive Services Task Force.Ann Intern Med.2004;140:557–568.
- Work Group on Substance Use Disorders,,, et al.Treatment of patients with substance use disorders, second edition. American Psychiatic Association.Am J Psych.2006;163(8 Suppl):75–82.
- ,.Smokers who are hospitalized: a window of opportunity for cessation interventions.Prev Med.1992;21;262–269.
- ,,.Helping hospitalized smokers quit: new directions for treatment and research.J Consult Clin Psychol.1993;61:778–89.
- ,,.Interventions for smoking cessation in hospitalised patients.Cochrane Database Sys Rev.2007;3(3);CD001837.
- ,,,.Expanding the roles of hospitalists physicians to include public health.J Hosp Med.2007;2:93–101.
- ,,,,.Smoking status as a clinical indicator for alcohol misuse in US adults.Arch Intern Med.2007;167:716–721.
- ,,,,.Alcohol high risk drinking, abuse and dependence among tobacco smoking medical care patients and the general population.Drug Alcohol Depend.2003;69:189–195.
- ,,,,.Nicotine dependence and psychiatric disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions.Arch Gen Psychiatry.2004;61:1107–1115.
- ,,,,,.Smoking and mental illness: A population‐based prevalence study.JAMA.2000;284:2606–2610.
- .Clinical Implications of the association between smoking and alcoholism. In:Fertig JB,Allen JP, eds.Alcohol and Tobacco: From Basic Science to Clinical Practice.Bethesda, MD:NIAAA Research;1995:171–185.
- ,,,,,.Smoking and drinking among alcoholics in treatment: cross‐sectional and longitudinal relationships.J Stud Alcohol.2000;61:157–163.
- ,,, et al.Interrelationship of smoking and alcohol dependence, use and urges to use.J Stud Alcohol.1995;56:202–206.
- ,,.Tobacco cessation treatment for alcohol‐dependent smokers: when is the best time?Alcohol Res Health.2006;29:203–207.
- ,,, et al.Substance use in the general hospital.Addict Behav.2003;28:483–499.
- ,,,,.Measuring the heaviness of smoking: Using self‐reported time to the first cigarette of the day and number of cigarettes smoked per day.Br J Addict.1989;84:791–799.
- ,,,.The Heaviness of Smoking Index as a predictor of smoking cessation in Canada.Addict Behav.2007;32:1031–1042.
- ,,, et al.Effectiveness of screening instruments in detecting substance use disorders among prisoners.J Subst Abuse Treat.2000;18:349–358.
- Th BNI‐ART Institute, Readiness Ruler. http://www.ed.bmc.org/sbirt/techniques.php. Accessed August 20,2008.
- .A modified poisson regression approach to prospective studies with binary data.Am J Epidemiol.2004;159:702–706.
- ,,,.Estimating the relative risk in cohort studies and clinical trials of common outcomes.Am J Epidemiol.2003;157:940–943.
- ,.Do smokers with alcohol problems have more difficulty quitting?Drug Alcohol Depend.2006;82:91–102.
- .Emergency room and primary care services utilization and associated alcohol and drug use in the United States general population.Alcohol Alcohol.1999;34:581–589.
- ,,, et al.Brief intervention for medical inpatients with unhealthy alcohol use: a randomized, controlled trial.Ann Intern Med.2007;146:167–176.
- ,,.Smoking cessation interventions among hospitalized patients: what have we learned?Prev Med.2001;32:376–388.
- ,,, et al.Smoking cessation and severity of disease: the Coronary Artery Smoking Intervention Study.Health Psychol.1992;11:119–126.
- ,,,,.A randomized controlled trial of smoking cessation counseling after myocardial infarction.Prev Med.2000;30:261–268.
- ,.Comorbid cigarette and alcohol addiction: epidemiology and treatment.J Addict Dis.1998;17:55–66.
- ,,, et al.A case‐management system for coronary risk factor modification after acute myocardial infarction.Ann Intern Med.1994;120:721–729.
- ,,, et al.A nurse‐managed smoking cessation program for hospitalized smokers.Am J Public Health.1996;86:1557–1560.
- ,,,.Smoking cessation after surgery. A randomized trial.Arch Intern Med.1997;157:1371–1376.
- ,,,,.Efficacy of nicotine patch in smokers with a history of alcoholism.Alcohol Clin Exp Res.2003;27:946–954.
- ,,,.Predictors of tobacco quit attempts among recovering alcoholics.J Subst Abuse.1996;8:431–443.
- ,,.Is dependence on one drug associated with dependence on other drugs? The cases of alcohol, caffeine and nicotine.Am J Addict.2000;9:196–201.
- .Nicotine interventions with comorbid populations.Am J Prev Med.2007;33:S406–S413.
Population‐based surveys of the adult US population estimate a prevalence of smoking of 25% and a prevalence of hazardous alcohol or illegal drug use of 23% and 8% respectively,1 with frequent concurrent use of these substances.2 The mortality associated with smoking and substance use is extremely high with tobacco first, alcohol third, and illicit drug use ninth as the leading causes of death in the US.3 Worldwide, the burden of disease from tobacco, alcohol, and illicit drugs accounts for almost 10% of all disability‐adjusted life years.4 Despite the availability of effective treatments,57 many patients do not receive professional intervention and few are offered comprehensive programs that address all of their harmful substance use.
Interventions have been successfully implemented for hospitalized smokers. Earlier work by Emmons8 and Orleans9 suggests that many smokers seek assistance to quit smoking during hospitalization. Over the past 15 years, hospital‐based smoking cessation interventions have been successfully implemented.10 Although mute on hospital‐based settings, the United States Preventive Service Task Force recommends screening and counseling interventions to reduce alcohol misuse among adults seen in primary care settings (B recommendation).6 Referral to specialized care is the accepted standard for most patients with substance dependence disorders7 regardless of the medical setting in which the diagnosis is made. Hospitalization provides a unique opportunity to initiate change in harmful substance use and smoking;11 however, interventions rarely are coordinated.
A high prevalence of smoking among substance users has been reported from population‐based surveys1215 and among patients in substance use treatment facilities.1618 Rates of concurrent smoking and substance use range from 35%44% in population‐based studies and may reach 80% in populations seeking substance use treatment.19 A recent hospital‐based study found at‐risk alcohol users were 3 times more likely to smoke.20 There are limited data describing concurrent smoking and substance use in the hospital population,15 and no reports describing the association between patients' willingness to quit smoking and readiness to change substance use behavior.
To better inform hospital‐based smoking and substance use intervention strategies, the epidemiology of smoking and substance use in the hospital population needs to be better described. Furthermore, there may be opportunities for synergy between these programs. In this study, we screened inpatients from multiple services at 2 hospitals for tobacco, alcohol, and illicit substance use. We report the prevalence and co‐occurrence of these behaviors and willingness to quit smoking among patients with and without at‐risk substance use.
METHODS
Data for this study were obtained for a 5‐year Substance Abuse and Mental Health Services Administration (SAMHSA) grant to the Illinois Office of the Governor. The grant was awarded to implement screening, brief intervention, brief treatment, and referral to treatment programs for patients of the Cook County Bureau of Health Services who had alcohol or other drug use disorders. We analyzed data collected from nonIntensive Care Unit patients who had been hospitalized on the internal medicine, family practice, HIV, or surgery services at John H. Stroger Jr Hospital of Cook County (formerly Cook County Hospital, a 464‐bed public, tertiary‐care hospital) or Provident Hospital of Cook County (a 100‐bed public community hospital), in Chicago, Illinois. Because internal medicine and family practice patients were similar in demographic characteristics and interview responses, we considered these as a single service. There is an HIV service at Stroger Hospital; all HIV‐infected patients are admitted or transferred to this service. For each patient, we used data collected from their initial hospitalization during a 9‐month study period (April 1, 2006 through December 31, 2006). Using hospital admission data, we estimated that 65% of patients were interviewed by a counselor; only 5% of patients could not be interviewed due to patient refusal or mental status changes.
Patients were screened for alcohol use, drug use, and smoking history by bedside interview. We defined at‐risk substance use as any illicit drug use within the previous 3 months or alcohol use that exceeded the National Institute for Alcohol Abuse and Alcoholism (NIAAA) guidelines for low‐risk drinking (no more than 5 drinks per day or 14 drinks per week for men up to age 65; no more than 3 drinks per day or 7 drinks per week for men over 65 and women). Based on their responses to questions about smoking history, patients were categorized into the following 4 groups: current smokers (ie, smoked within the previous 7 days), recent quitters (ie, quit within 8 days and 6 months), ex‐smokers (quit more than 6 months ago), or never smokers. Current smokers were also asked about their heaviness of smoking and willingness to quit. All smokers received a counseling session during hospitalization. All smokers who indicated a desire to quit were encouraged to call the Illinois Quitline after hospital discharge. Individuals who smoked between 10‐14 cigarettes per day and smoked their first cigarette within 30 minutes of waking or who smoked 15 or more cigarettes per day were classified as moderate or heavy smokers; all other smokers were classified as light smokers. We established these cut‐points by modifying the Public Health Service guideline and Heaviness of Smoking Index.5, 21, 22 The heaviness of smoking classification was used to guide recommendations to the primary service regarding the appropriateness of nicotine patch therapy during and after hospitalization. For moderate to heavy smokers who were willing to quit, the recommendation was to continue nicotine replacement after hospitalization.5
Patients were considered low health risk if their alcohol use did not exceed NIAAA guidelines and they reported no recent drug use. For all patients who reported alcohol use that exceeded the NIAAA guidelines or recent drug use, we administered the Texas Christian University Drug Screen II (TCU)23 to further characterize the severity of their use. Patients who had a TCU score of 3 were considered at‐risk substance users with substance dependence disorder; patients with scores of 2 or less were considered at‐risk substance users without dependence. Among all at‐risk substance users, we used a 10‐point visual analog scale to assess their readiness to change substance use. After evaluating the distribution and clustering of scores, we prespecified that a score 8 was indicative of a patient being ready to change their substance use behavior. This ruler has been successfully implemented as part of the Brief Negotiated Interview and Active Referral to Treatment Institute toolbox.24
Analysis
To facilitate comparison with other data sources, we used the same age categories as the National Survey on Drug Use and Health.1 Differences between proportions were evaluated by the chi‐squared test. We analyzed the trend in smoking behavior across the strata of substance use (ie, number of substances used and severity of use) using the Cochrane‐Armitage test for trend. To evaluate the association between substance use and smoking, multivariable models were constructed that included terms to adjust for age, race, gender, and hospital service; potential confounders (eg, age, race, gender, and service) were included in the final model if they significantly contributed to the outcome variable (P < 0.1). From these multivariable models, prevalence ratios were estimated using the binary log transformation in PROC GENMOD.25, 26 All data were analyzed using SAS version 9.0 (SAS Institute Inc., Cary, NC).
RESULTS
Patient Characteristics
Of the 7,714 unique patients interviewed at the 2 hospitals, we had data on smoking status for 7,391 (96%) (Table 1). The mean age was 50 years, most were male, cared for by the internal medicine or family practice service, and the most common racial/ethnic category was non‐Hispanic Black, followed by Hispanic, non‐Hispanic White, and Asian (Table 1). More than one‐quarter of patients reported at‐risk substance use other than tobacco; the most common substance used was alcohol followed by cocaine, marijuana, and then heroin (Table 1). Most patients who were at‐risk substance users (52%) met criteria for substance dependence disorder.23
| Characteristic | N | (%) | Smoking prevalence* (%) | Prevalence ratio (95% CI) | |
|---|---|---|---|---|---|
| |||||
| Age category | |||||
| 18‐25 | 479 | (6) | 35 | 2.6 | (2.1 to 3.1) |
| 26‐34 | 664 | (9) | 38 | 2.8 | (2.4 to 3.4) |
| 35‐44 | 1306 | (18) | 46 | 3.4 | (2.9 to 4.0) |
| 45‐54 | 2182 | (30) | 46 | 3.4 | (2.9 to 4.0) |
| 55‐64 | 1563 | (21) | 31 | 2.3 | (2.0 to 2.7) |
| 65 and older | 1185 | (16) | 13 | ref | |
| Race/Ethnicity | |||||
| Non Hispanic Black | 4990 | (68) | 45 | 3.0 | (2.2 to 4.0) |
| Non Hispanic White | 850 | (12) | 40 | 2.7 | (2.0 to 3.6) |
| Hispanic | 1222 | (17) | 19 | 1.3 | (0.9 to 1.7) |
| Asian | 253 | (3) | 15 | ref | |
| Other | 27 | (<1) | |||
| Gender | |||||
| Male | 4279 | (58) | 42 | 1.5 | (1.4 to 1.6) |
| Female | 3099 | (42) | 29 | ref | |
| Service | |||||
| HIV | 227 | (3) | 52 | 1.7 | (1.5 to 2.0) |
| Internal medicine or | 6278 | (85) | 36 | 1.2 | (1.1 to 1.3) |
| family practice | |||||
| Surgery | 886 | (12) | 31 | ref | |
Tobacco Use
Many hospitalized patients were current smokers (36%) and 35% of current smokers were moderate to heavy smokers. The prevalence of smoking varied significantly by age category, race, gender, and service. By age category, the prevalence of smoking peaked at 3554 years with lower rates of smoking at either extreme of age (Table 1). Non‐Hispanic Blacks and Whites had a prevalence of smoking 3‐fold higher than Asians; Hispanics were less likely to smoke than non‐Hispanic Whites or Blacks. Men were more likely to smoke than women, and patients on the HIV or internal medicine/family practice services had a higher prevalence of smoking compared to patients on the surgery service (Table 1).
The proportion of current smokers who were moderate to heavy smokers was similar between patients with no‐risk or low‐risk substance use and those who had at‐risk substance use without dependence (32% versus 34%, respectively); however, current smokers who were substance‐dependent were 40% more likely to be moderate to heavy smokers (48%) (prevalence ratio [PR]: 1.4, 95% confidence interval [CI]: 1.1 to 1.9).
Concurrent Tobacco and Substance Use
Compared to patients who reported low‐risk substance use, patients with at‐risk substance use had a dramatically higher prevalence of smoking (Table 2). In addition, there was a significant increase in the likelihood of smoking across the 3 levels of substance use and the number of substances used (Table 2).
| N | (%) | Smoking prevalence (%) | Adjusted prevalence ratio (95% CI)* | ||
|---|---|---|---|---|---|
| |||||
| Risk Index | |||||
| Low Health Risk | 5419 | (73) | 24 | ref | |
| At‐Risk, not dependent | 945 | (13) | 64 | 2.2 | (2.0 to 2.3) |
| At‐Risk, dependent | 1027 | (14) | 75 | 2.5 | (2.3 to 2.6) |
| Specific substance use | |||||
| Low Health Risk | 5419 | (73) | 24 | ref | |
| At‐Risk Alcohol Use | 1171 | (16) | 68 | 2.2 | (2.1 to 2.4) |
| At‐ Risk Marijuana Use | 688 | (9) | 70 | 2.1 | (2.0 to 2.3) |
| At‐Risk Cocaine Use | 503 | (7) | 79 | 2.4 | (2.2 to 2.6) |
| At‐Risk Heroin Use | 448 | (6) | 82 | 2.4 | (2.2 to 2.6) |
| Number of drugs | |||||
| None | 5419 | (73) | 24 | ref | |
| One | 1284 | (17) | 64 | 2.2 | (2.0 to 2.3) |
| Two or more | 688 | (9) | 81 | 2.6 | (2.5 to 2.8) |
Willingness to Quit
Most patients (61%) who smoked were willing to immediately quit smoking. After adjusting for other demographic confounders, non‐Hispanic Blacks and the elderly (age > 65) were more willing to quit (P < 0.05, data not shown). The substance use risk categories of low risk, at‐risk, and dependence were not associated with willingness to quit tobacco (Fig. 1, left panel).
Regardless of substance use category, most patients were ready to change their substance use behavior (Fig. 1). Those patients who were ready to change their substance use behavior, regardless of whether they were substance‐dependent, were significantly more likely to report a willingness to quit smoking than those who were not ready to change (Fig. 1, right panel). In fact, at‐risk substance users without dependence who were ready to change their substance use were more willing to quit smoking than patients without at‐risk substance use (72% versus 64%; P < 0.05).
DISCUSSION
Among hospital patients, we found a 46% absolute increase in the prevalence of smoking among those who used illicit substances or alcohol above NIAAA guidelines compared to those who did not report such use. The prevalence of smoking increased across the spectrum of substance use, being highest for patients who met criteria for dependence. Also, patients who were substance dependent were more likely to be moderate to heavy smokers, suggesting an association between alcohol or other drug dependence disorders and nicotine dependence. Regardless of their patterns of substance use, most patients expressed a desire to immediately quit smoking and there was a strong association between willingness to quit smoking and readiness to reduce substance use.
In our hospital population, the prevalence of smoking among patients who use illicit drugs or at‐risk quantities of alcohol far exceeds estimates obtained from population‐based surveys. In addition to the relatively high prevalence of smoking, focusing attention on hospital patients who use substances is important for several other reasons. Individuals who use substances are less likely to receive health care from a primary care physician.28 Also, most patients who have substance use disorders do not enter treatment programs,1 even after hospitalization.29 Further, hospitals provide a setting that facilitates change; patients are temporarily required to stop smoking, and often they are available for relatively long counseling sessions. Finally, for patients without substance use disorders, hospital‐based smoking cessation intervention programs have been proven to be successful in several randomized controlled trials.10, 30
Because alcohol and drug use are so common among hospitalized smokers, it is unfortunate that there is little evidence from clinical trials to inform intervention strategies for patients with concurrent use. The clinical trials that form the evidence base for intervention among hospitalized smokers10 either have explicitly excluded patients who reported substance use,10, 15, 3133 did not assess baseline substance use,34, 35 or were underpowered to perform subgroup analyses on this population.36 Awaiting better evidence, we have chosen to routinely screen hospital patients for tobacco, alcohol, and drug use. For treatment strategies, we extrapolate the findings from successful interventions in the ambulatory setting37 or among hospital patients who do not use substances to our population. We offer smoking cessation interventions to patients regardless of other substance use.
Understanding the similarities and differences between smokers who use substances and those who do not is important in implementing successful strategies for smoking cessation. Rather than a step‐wise increase in heaviness of smoking across substance use categories (ie, no‐risk or low‐risk use, at‐risk use without dependence, and substance dependence), we found an increased heaviness of smoking only among substance‐dependent smokers; there was no difference in heaviness of smoking between those with at‐risk use without dependence and those with no‐risk or low‐risk use. Because interventions for patients who have nicotine dependence are more likely to succeed when pharmacotherapy is offered as an adjunct to behavior therapy,38 smokers who also are substance‐dependent likely will benefit from the addition of pharmacotherapy. One similarity is that all patients, regardless of substance use category, were willing to quit smoking. In fact, hospitalized smokers who were ready to change at‐risk substance use were more willing to quit smoking than patients who had no‐risk or low‐risk substance use. Previous investigators have found that smokers who use substances have fewer quit attempts,39 higher nicotine dependence,37, 39 and lower enrollment in smoking cessation interventions.38
Our study only includes data from patients at 2 public hospitals; therefore, our findings may not generalize to populations of higher socioeconomic status. Also, our smoking screening tool had relatively low sensitivity for categorizing current smokers as moderate to heavy smokers; therefore, we may have underestimated the number of moderate to heavy smokers.5, 22 Further, given our cross‐sectional study design, we were unable to evaluate whether patients who have at‐risk substance use remain willing to quit smoking after hospital discharge or to the effectiveness of our smoking cessation program. Finally, socially desirable responses may have caused patients to overstate their willingness to quit tobacco and readiness to change substance use. Additional research is needed to determine whether post‐hospitalization quit rates are similar between smokers with and without at‐risk substance use, and the optimal timing for smoking cessation interventions in relation to substance dependence treatment.40
Hospital patients who have substance use disorders are also highly likely to smoke, and these patients express a willingness to quit smoking. Given the frequency of concurrent smoking and other substance misuse and patients' desire to change both behaviors, there is a role for coordination of substance use and smoking cessation intervention programs.
Population‐based surveys of the adult US population estimate a prevalence of smoking of 25% and a prevalence of hazardous alcohol or illegal drug use of 23% and 8% respectively,1 with frequent concurrent use of these substances.2 The mortality associated with smoking and substance use is extremely high with tobacco first, alcohol third, and illicit drug use ninth as the leading causes of death in the US.3 Worldwide, the burden of disease from tobacco, alcohol, and illicit drugs accounts for almost 10% of all disability‐adjusted life years.4 Despite the availability of effective treatments,57 many patients do not receive professional intervention and few are offered comprehensive programs that address all of their harmful substance use.
Interventions have been successfully implemented for hospitalized smokers. Earlier work by Emmons8 and Orleans9 suggests that many smokers seek assistance to quit smoking during hospitalization. Over the past 15 years, hospital‐based smoking cessation interventions have been successfully implemented.10 Although mute on hospital‐based settings, the United States Preventive Service Task Force recommends screening and counseling interventions to reduce alcohol misuse among adults seen in primary care settings (B recommendation).6 Referral to specialized care is the accepted standard for most patients with substance dependence disorders7 regardless of the medical setting in which the diagnosis is made. Hospitalization provides a unique opportunity to initiate change in harmful substance use and smoking;11 however, interventions rarely are coordinated.
A high prevalence of smoking among substance users has been reported from population‐based surveys1215 and among patients in substance use treatment facilities.1618 Rates of concurrent smoking and substance use range from 35%44% in population‐based studies and may reach 80% in populations seeking substance use treatment.19 A recent hospital‐based study found at‐risk alcohol users were 3 times more likely to smoke.20 There are limited data describing concurrent smoking and substance use in the hospital population,15 and no reports describing the association between patients' willingness to quit smoking and readiness to change substance use behavior.
To better inform hospital‐based smoking and substance use intervention strategies, the epidemiology of smoking and substance use in the hospital population needs to be better described. Furthermore, there may be opportunities for synergy between these programs. In this study, we screened inpatients from multiple services at 2 hospitals for tobacco, alcohol, and illicit substance use. We report the prevalence and co‐occurrence of these behaviors and willingness to quit smoking among patients with and without at‐risk substance use.
METHODS
Data for this study were obtained for a 5‐year Substance Abuse and Mental Health Services Administration (SAMHSA) grant to the Illinois Office of the Governor. The grant was awarded to implement screening, brief intervention, brief treatment, and referral to treatment programs for patients of the Cook County Bureau of Health Services who had alcohol or other drug use disorders. We analyzed data collected from nonIntensive Care Unit patients who had been hospitalized on the internal medicine, family practice, HIV, or surgery services at John H. Stroger Jr Hospital of Cook County (formerly Cook County Hospital, a 464‐bed public, tertiary‐care hospital) or Provident Hospital of Cook County (a 100‐bed public community hospital), in Chicago, Illinois. Because internal medicine and family practice patients were similar in demographic characteristics and interview responses, we considered these as a single service. There is an HIV service at Stroger Hospital; all HIV‐infected patients are admitted or transferred to this service. For each patient, we used data collected from their initial hospitalization during a 9‐month study period (April 1, 2006 through December 31, 2006). Using hospital admission data, we estimated that 65% of patients were interviewed by a counselor; only 5% of patients could not be interviewed due to patient refusal or mental status changes.
Patients were screened for alcohol use, drug use, and smoking history by bedside interview. We defined at‐risk substance use as any illicit drug use within the previous 3 months or alcohol use that exceeded the National Institute for Alcohol Abuse and Alcoholism (NIAAA) guidelines for low‐risk drinking (no more than 5 drinks per day or 14 drinks per week for men up to age 65; no more than 3 drinks per day or 7 drinks per week for men over 65 and women). Based on their responses to questions about smoking history, patients were categorized into the following 4 groups: current smokers (ie, smoked within the previous 7 days), recent quitters (ie, quit within 8 days and 6 months), ex‐smokers (quit more than 6 months ago), or never smokers. Current smokers were also asked about their heaviness of smoking and willingness to quit. All smokers received a counseling session during hospitalization. All smokers who indicated a desire to quit were encouraged to call the Illinois Quitline after hospital discharge. Individuals who smoked between 10‐14 cigarettes per day and smoked their first cigarette within 30 minutes of waking or who smoked 15 or more cigarettes per day were classified as moderate or heavy smokers; all other smokers were classified as light smokers. We established these cut‐points by modifying the Public Health Service guideline and Heaviness of Smoking Index.5, 21, 22 The heaviness of smoking classification was used to guide recommendations to the primary service regarding the appropriateness of nicotine patch therapy during and after hospitalization. For moderate to heavy smokers who were willing to quit, the recommendation was to continue nicotine replacement after hospitalization.5
Patients were considered low health risk if their alcohol use did not exceed NIAAA guidelines and they reported no recent drug use. For all patients who reported alcohol use that exceeded the NIAAA guidelines or recent drug use, we administered the Texas Christian University Drug Screen II (TCU)23 to further characterize the severity of their use. Patients who had a TCU score of 3 were considered at‐risk substance users with substance dependence disorder; patients with scores of 2 or less were considered at‐risk substance users without dependence. Among all at‐risk substance users, we used a 10‐point visual analog scale to assess their readiness to change substance use. After evaluating the distribution and clustering of scores, we prespecified that a score 8 was indicative of a patient being ready to change their substance use behavior. This ruler has been successfully implemented as part of the Brief Negotiated Interview and Active Referral to Treatment Institute toolbox.24
Analysis
To facilitate comparison with other data sources, we used the same age categories as the National Survey on Drug Use and Health.1 Differences between proportions were evaluated by the chi‐squared test. We analyzed the trend in smoking behavior across the strata of substance use (ie, number of substances used and severity of use) using the Cochrane‐Armitage test for trend. To evaluate the association between substance use and smoking, multivariable models were constructed that included terms to adjust for age, race, gender, and hospital service; potential confounders (eg, age, race, gender, and service) were included in the final model if they significantly contributed to the outcome variable (P < 0.1). From these multivariable models, prevalence ratios were estimated using the binary log transformation in PROC GENMOD.25, 26 All data were analyzed using SAS version 9.0 (SAS Institute Inc., Cary, NC).
RESULTS
Patient Characteristics
Of the 7,714 unique patients interviewed at the 2 hospitals, we had data on smoking status for 7,391 (96%) (Table 1). The mean age was 50 years, most were male, cared for by the internal medicine or family practice service, and the most common racial/ethnic category was non‐Hispanic Black, followed by Hispanic, non‐Hispanic White, and Asian (Table 1). More than one‐quarter of patients reported at‐risk substance use other than tobacco; the most common substance used was alcohol followed by cocaine, marijuana, and then heroin (Table 1). Most patients who were at‐risk substance users (52%) met criteria for substance dependence disorder.23
| Characteristic | N | (%) | Smoking prevalence* (%) | Prevalence ratio (95% CI) | |
|---|---|---|---|---|---|
| |||||
| Age category | |||||
| 18‐25 | 479 | (6) | 35 | 2.6 | (2.1 to 3.1) |
| 26‐34 | 664 | (9) | 38 | 2.8 | (2.4 to 3.4) |
| 35‐44 | 1306 | (18) | 46 | 3.4 | (2.9 to 4.0) |
| 45‐54 | 2182 | (30) | 46 | 3.4 | (2.9 to 4.0) |
| 55‐64 | 1563 | (21) | 31 | 2.3 | (2.0 to 2.7) |
| 65 and older | 1185 | (16) | 13 | ref | |
| Race/Ethnicity | |||||
| Non Hispanic Black | 4990 | (68) | 45 | 3.0 | (2.2 to 4.0) |
| Non Hispanic White | 850 | (12) | 40 | 2.7 | (2.0 to 3.6) |
| Hispanic | 1222 | (17) | 19 | 1.3 | (0.9 to 1.7) |
| Asian | 253 | (3) | 15 | ref | |
| Other | 27 | (<1) | |||
| Gender | |||||
| Male | 4279 | (58) | 42 | 1.5 | (1.4 to 1.6) |
| Female | 3099 | (42) | 29 | ref | |
| Service | |||||
| HIV | 227 | (3) | 52 | 1.7 | (1.5 to 2.0) |
| Internal medicine or | 6278 | (85) | 36 | 1.2 | (1.1 to 1.3) |
| family practice | |||||
| Surgery | 886 | (12) | 31 | ref | |
Tobacco Use
Many hospitalized patients were current smokers (36%) and 35% of current smokers were moderate to heavy smokers. The prevalence of smoking varied significantly by age category, race, gender, and service. By age category, the prevalence of smoking peaked at 3554 years with lower rates of smoking at either extreme of age (Table 1). Non‐Hispanic Blacks and Whites had a prevalence of smoking 3‐fold higher than Asians; Hispanics were less likely to smoke than non‐Hispanic Whites or Blacks. Men were more likely to smoke than women, and patients on the HIV or internal medicine/family practice services had a higher prevalence of smoking compared to patients on the surgery service (Table 1).
The proportion of current smokers who were moderate to heavy smokers was similar between patients with no‐risk or low‐risk substance use and those who had at‐risk substance use without dependence (32% versus 34%, respectively); however, current smokers who were substance‐dependent were 40% more likely to be moderate to heavy smokers (48%) (prevalence ratio [PR]: 1.4, 95% confidence interval [CI]: 1.1 to 1.9).
Concurrent Tobacco and Substance Use
Compared to patients who reported low‐risk substance use, patients with at‐risk substance use had a dramatically higher prevalence of smoking (Table 2). In addition, there was a significant increase in the likelihood of smoking across the 3 levels of substance use and the number of substances used (Table 2).
| N | (%) | Smoking prevalence (%) | Adjusted prevalence ratio (95% CI)* | ||
|---|---|---|---|---|---|
| |||||
| Risk Index | |||||
| Low Health Risk | 5419 | (73) | 24 | ref | |
| At‐Risk, not dependent | 945 | (13) | 64 | 2.2 | (2.0 to 2.3) |
| At‐Risk, dependent | 1027 | (14) | 75 | 2.5 | (2.3 to 2.6) |
| Specific substance use | |||||
| Low Health Risk | 5419 | (73) | 24 | ref | |
| At‐Risk Alcohol Use | 1171 | (16) | 68 | 2.2 | (2.1 to 2.4) |
| At‐ Risk Marijuana Use | 688 | (9) | 70 | 2.1 | (2.0 to 2.3) |
| At‐Risk Cocaine Use | 503 | (7) | 79 | 2.4 | (2.2 to 2.6) |
| At‐Risk Heroin Use | 448 | (6) | 82 | 2.4 | (2.2 to 2.6) |
| Number of drugs | |||||
| None | 5419 | (73) | 24 | ref | |
| One | 1284 | (17) | 64 | 2.2 | (2.0 to 2.3) |
| Two or more | 688 | (9) | 81 | 2.6 | (2.5 to 2.8) |
Willingness to Quit
Most patients (61%) who smoked were willing to immediately quit smoking. After adjusting for other demographic confounders, non‐Hispanic Blacks and the elderly (age > 65) were more willing to quit (P < 0.05, data not shown). The substance use risk categories of low risk, at‐risk, and dependence were not associated with willingness to quit tobacco (Fig. 1, left panel).
Regardless of substance use category, most patients were ready to change their substance use behavior (Fig. 1). Those patients who were ready to change their substance use behavior, regardless of whether they were substance‐dependent, were significantly more likely to report a willingness to quit smoking than those who were not ready to change (Fig. 1, right panel). In fact, at‐risk substance users without dependence who were ready to change their substance use were more willing to quit smoking than patients without at‐risk substance use (72% versus 64%; P < 0.05).
DISCUSSION
Among hospital patients, we found a 46% absolute increase in the prevalence of smoking among those who used illicit substances or alcohol above NIAAA guidelines compared to those who did not report such use. The prevalence of smoking increased across the spectrum of substance use, being highest for patients who met criteria for dependence. Also, patients who were substance dependent were more likely to be moderate to heavy smokers, suggesting an association between alcohol or other drug dependence disorders and nicotine dependence. Regardless of their patterns of substance use, most patients expressed a desire to immediately quit smoking and there was a strong association between willingness to quit smoking and readiness to reduce substance use.
In our hospital population, the prevalence of smoking among patients who use illicit drugs or at‐risk quantities of alcohol far exceeds estimates obtained from population‐based surveys. In addition to the relatively high prevalence of smoking, focusing attention on hospital patients who use substances is important for several other reasons. Individuals who use substances are less likely to receive health care from a primary care physician.28 Also, most patients who have substance use disorders do not enter treatment programs,1 even after hospitalization.29 Further, hospitals provide a setting that facilitates change; patients are temporarily required to stop smoking, and often they are available for relatively long counseling sessions. Finally, for patients without substance use disorders, hospital‐based smoking cessation intervention programs have been proven to be successful in several randomized controlled trials.10, 30
Because alcohol and drug use are so common among hospitalized smokers, it is unfortunate that there is little evidence from clinical trials to inform intervention strategies for patients with concurrent use. The clinical trials that form the evidence base for intervention among hospitalized smokers10 either have explicitly excluded patients who reported substance use,10, 15, 3133 did not assess baseline substance use,34, 35 or were underpowered to perform subgroup analyses on this population.36 Awaiting better evidence, we have chosen to routinely screen hospital patients for tobacco, alcohol, and drug use. For treatment strategies, we extrapolate the findings from successful interventions in the ambulatory setting37 or among hospital patients who do not use substances to our population. We offer smoking cessation interventions to patients regardless of other substance use.
Understanding the similarities and differences between smokers who use substances and those who do not is important in implementing successful strategies for smoking cessation. Rather than a step‐wise increase in heaviness of smoking across substance use categories (ie, no‐risk or low‐risk use, at‐risk use without dependence, and substance dependence), we found an increased heaviness of smoking only among substance‐dependent smokers; there was no difference in heaviness of smoking between those with at‐risk use without dependence and those with no‐risk or low‐risk use. Because interventions for patients who have nicotine dependence are more likely to succeed when pharmacotherapy is offered as an adjunct to behavior therapy,38 smokers who also are substance‐dependent likely will benefit from the addition of pharmacotherapy. One similarity is that all patients, regardless of substance use category, were willing to quit smoking. In fact, hospitalized smokers who were ready to change at‐risk substance use were more willing to quit smoking than patients who had no‐risk or low‐risk substance use. Previous investigators have found that smokers who use substances have fewer quit attempts,39 higher nicotine dependence,37, 39 and lower enrollment in smoking cessation interventions.38
Our study only includes data from patients at 2 public hospitals; therefore, our findings may not generalize to populations of higher socioeconomic status. Also, our smoking screening tool had relatively low sensitivity for categorizing current smokers as moderate to heavy smokers; therefore, we may have underestimated the number of moderate to heavy smokers.5, 22 Further, given our cross‐sectional study design, we were unable to evaluate whether patients who have at‐risk substance use remain willing to quit smoking after hospital discharge or to the effectiveness of our smoking cessation program. Finally, socially desirable responses may have caused patients to overstate their willingness to quit tobacco and readiness to change substance use. Additional research is needed to determine whether post‐hospitalization quit rates are similar between smokers with and without at‐risk substance use, and the optimal timing for smoking cessation interventions in relation to substance dependence treatment.40
Hospital patients who have substance use disorders are also highly likely to smoke, and these patients express a willingness to quit smoking. Given the frequency of concurrent smoking and other substance misuse and patients' desire to change both behaviors, there is a role for coordination of substance use and smoking cessation intervention programs.
- US Department of Health 24:201–208.
- ,,,.Actual causes of death in the United States, 2000.JAMA.2004;291:1238–1245.
- ,,.Global burden of disease from alcohol, illicit drugs and tobacco.Drug Alcohol Rev.2006;25:503–513.
- A clinical practice guideline for treating tobacco use and dependence,:A US Public Health Service report. The tobacco use and dependence clinical practice guideline panel, staff, and consortium representatives.JAMA.2000;283:3244–3254.
- ,,,,,U.S.Preventive Services Task Force. Behavioral counseling interventions in primary care to reduce risky/harmful alcohol use by adults: a summary of the evidence for the U.S. Preventive Services Task Force.Ann Intern Med.2004;140:557–568.
- Work Group on Substance Use Disorders,,, et al.Treatment of patients with substance use disorders, second edition. American Psychiatic Association.Am J Psych.2006;163(8 Suppl):75–82.
- ,.Smokers who are hospitalized: a window of opportunity for cessation interventions.Prev Med.1992;21;262–269.
- ,,.Helping hospitalized smokers quit: new directions for treatment and research.J Consult Clin Psychol.1993;61:778–89.
- ,,.Interventions for smoking cessation in hospitalised patients.Cochrane Database Sys Rev.2007;3(3);CD001837.
- ,,,.Expanding the roles of hospitalists physicians to include public health.J Hosp Med.2007;2:93–101.
- ,,,,.Smoking status as a clinical indicator for alcohol misuse in US adults.Arch Intern Med.2007;167:716–721.
- ,,,,.Alcohol high risk drinking, abuse and dependence among tobacco smoking medical care patients and the general population.Drug Alcohol Depend.2003;69:189–195.
- ,,,,.Nicotine dependence and psychiatric disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions.Arch Gen Psychiatry.2004;61:1107–1115.
- ,,,,,.Smoking and mental illness: A population‐based prevalence study.JAMA.2000;284:2606–2610.
- .Clinical Implications of the association between smoking and alcoholism. In:Fertig JB,Allen JP, eds.Alcohol and Tobacco: From Basic Science to Clinical Practice.Bethesda, MD:NIAAA Research;1995:171–185.
- ,,,,,.Smoking and drinking among alcoholics in treatment: cross‐sectional and longitudinal relationships.J Stud Alcohol.2000;61:157–163.
- ,,, et al.Interrelationship of smoking and alcohol dependence, use and urges to use.J Stud Alcohol.1995;56:202–206.
- ,,.Tobacco cessation treatment for alcohol‐dependent smokers: when is the best time?Alcohol Res Health.2006;29:203–207.
- ,,, et al.Substance use in the general hospital.Addict Behav.2003;28:483–499.
- ,,,,.Measuring the heaviness of smoking: Using self‐reported time to the first cigarette of the day and number of cigarettes smoked per day.Br J Addict.1989;84:791–799.
- ,,,.The Heaviness of Smoking Index as a predictor of smoking cessation in Canada.Addict Behav.2007;32:1031–1042.
- ,,, et al.Effectiveness of screening instruments in detecting substance use disorders among prisoners.J Subst Abuse Treat.2000;18:349–358.
- Th BNI‐ART Institute, Readiness Ruler. http://www.ed.bmc.org/sbirt/techniques.php. Accessed August 20,2008.
- .A modified poisson regression approach to prospective studies with binary data.Am J Epidemiol.2004;159:702–706.
- ,,,.Estimating the relative risk in cohort studies and clinical trials of common outcomes.Am J Epidemiol.2003;157:940–943.
- ,.Do smokers with alcohol problems have more difficulty quitting?Drug Alcohol Depend.2006;82:91–102.
- .Emergency room and primary care services utilization and associated alcohol and drug use in the United States general population.Alcohol Alcohol.1999;34:581–589.
- ,,, et al.Brief intervention for medical inpatients with unhealthy alcohol use: a randomized, controlled trial.Ann Intern Med.2007;146:167–176.
- ,,.Smoking cessation interventions among hospitalized patients: what have we learned?Prev Med.2001;32:376–388.
- ,,, et al.Smoking cessation and severity of disease: the Coronary Artery Smoking Intervention Study.Health Psychol.1992;11:119–126.
- ,,,,.A randomized controlled trial of smoking cessation counseling after myocardial infarction.Prev Med.2000;30:261–268.
- ,.Comorbid cigarette and alcohol addiction: epidemiology and treatment.J Addict Dis.1998;17:55–66.
- ,,, et al.A case‐management system for coronary risk factor modification after acute myocardial infarction.Ann Intern Med.1994;120:721–729.
- ,,, et al.A nurse‐managed smoking cessation program for hospitalized smokers.Am J Public Health.1996;86:1557–1560.
- ,,,.Smoking cessation after surgery. A randomized trial.Arch Intern Med.1997;157:1371–1376.
- ,,,,.Efficacy of nicotine patch in smokers with a history of alcoholism.Alcohol Clin Exp Res.2003;27:946–954.
- ,,,.Predictors of tobacco quit attempts among recovering alcoholics.J Subst Abuse.1996;8:431–443.
- ,,.Is dependence on one drug associated with dependence on other drugs? The cases of alcohol, caffeine and nicotine.Am J Addict.2000;9:196–201.
- .Nicotine interventions with comorbid populations.Am J Prev Med.2007;33:S406–S413.
- US Department of Health 24:201–208.
- ,,,.Actual causes of death in the United States, 2000.JAMA.2004;291:1238–1245.
- ,,.Global burden of disease from alcohol, illicit drugs and tobacco.Drug Alcohol Rev.2006;25:503–513.
- A clinical practice guideline for treating tobacco use and dependence,:A US Public Health Service report. The tobacco use and dependence clinical practice guideline panel, staff, and consortium representatives.JAMA.2000;283:3244–3254.
- ,,,,,U.S.Preventive Services Task Force. Behavioral counseling interventions in primary care to reduce risky/harmful alcohol use by adults: a summary of the evidence for the U.S. Preventive Services Task Force.Ann Intern Med.2004;140:557–568.
- Work Group on Substance Use Disorders,,, et al.Treatment of patients with substance use disorders, second edition. American Psychiatic Association.Am J Psych.2006;163(8 Suppl):75–82.
- ,.Smokers who are hospitalized: a window of opportunity for cessation interventions.Prev Med.1992;21;262–269.
- ,,.Helping hospitalized smokers quit: new directions for treatment and research.J Consult Clin Psychol.1993;61:778–89.
- ,,.Interventions for smoking cessation in hospitalised patients.Cochrane Database Sys Rev.2007;3(3);CD001837.
- ,,,.Expanding the roles of hospitalists physicians to include public health.J Hosp Med.2007;2:93–101.
- ,,,,.Smoking status as a clinical indicator for alcohol misuse in US adults.Arch Intern Med.2007;167:716–721.
- ,,,,.Alcohol high risk drinking, abuse and dependence among tobacco smoking medical care patients and the general population.Drug Alcohol Depend.2003;69:189–195.
- ,,,,.Nicotine dependence and psychiatric disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions.Arch Gen Psychiatry.2004;61:1107–1115.
- ,,,,,.Smoking and mental illness: A population‐based prevalence study.JAMA.2000;284:2606–2610.
- .Clinical Implications of the association between smoking and alcoholism. In:Fertig JB,Allen JP, eds.Alcohol and Tobacco: From Basic Science to Clinical Practice.Bethesda, MD:NIAAA Research;1995:171–185.
- ,,,,,.Smoking and drinking among alcoholics in treatment: cross‐sectional and longitudinal relationships.J Stud Alcohol.2000;61:157–163.
- ,,, et al.Interrelationship of smoking and alcohol dependence, use and urges to use.J Stud Alcohol.1995;56:202–206.
- ,,.Tobacco cessation treatment for alcohol‐dependent smokers: when is the best time?Alcohol Res Health.2006;29:203–207.
- ,,, et al.Substance use in the general hospital.Addict Behav.2003;28:483–499.
- ,,,,.Measuring the heaviness of smoking: Using self‐reported time to the first cigarette of the day and number of cigarettes smoked per day.Br J Addict.1989;84:791–799.
- ,,,.The Heaviness of Smoking Index as a predictor of smoking cessation in Canada.Addict Behav.2007;32:1031–1042.
- ,,, et al.Effectiveness of screening instruments in detecting substance use disorders among prisoners.J Subst Abuse Treat.2000;18:349–358.
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Copyright © 2008 Society of Hospital Medicine
Curriculum for the Hospitalized Aging Medical Patient
A crucial arena of innovative educational programs for the care of the elderly must include the hospital setting, a place of great cost, morbidity, and mortality for a population currently occupying approximately half of US hospital beds.1 With a marked acceleration in the number of persons living to an advanced age, there is a clear imperative to address the health‐care needs of the elderly, particularly the complex and frail.24 An educational grounding that steps beyond the traditional organ‐based models of disease to a much broader patient‐centered framework of care is necessary to aid physicians in advanced clinical decision‐making in the care of older patients. Organizing the medical care of the older patient within existing systems of care and a team care management network must also be improved.
Curricular materials and methods are widely available for teaching geriatric medicine,57 but most are geared toward outpatient care and management, with few addressing the care of the hospitalized, older medical patient.810 There is even less published on curricular materials, methods, and tools for such teaching outside of specialized hospital‐based geriatric units by nongeriatrics‐trained faculty.1113 Furthermore, the evaluation of geriatrics educational programs in the hospital setting has not been done with the ultimate assessment, the linking of educational programs to demonstrated changes in clinical practice and patient care outcomes.
To address these needs, we designed and implemented the Curriculum for the Hospitalized Aging Medical Patient (CHAMP) Faculty Development Program (FDP). CHAMP was funded by a grant from the Donald W. Reynolds Foundation Aging and Quality of Life Program with a matching commitment from the University of Chicago Department of Medicine. At the core of CHAMP are principles of care for the older patient in the hospital setting, with an emphasis on identifying and providing care for the complex and frail elderly with nongeriatrician inpatient medicine faculty as the primary teachers of these materials. The overall educational goals of the CHAMP FDP are the following: (1) to train hospitalists and general internists to recognize opportunities to teach geriatric medicine topics specific to the care of the hospitalized older patient; (2) to create teaching materials, tools, and methods that can be used in the busy medical inpatient setting at the bedside; (3) to create materials and tools that facilitate teaching the Accreditation Council for Graduate Medical Education (ACGME) core competencies14 during ward rounds; and (4) to increase the frequency and effectiveness with which this geriatrics content is taught in the hospital setting. This article describes the development and refinement of the CHAMP FDP and evaluation results to date.
METHODS
The CHAMP FDP was developed by a core group of geriatricians, hospitalists, general medicine faculty, and PhD educators from the Office of the Dean at the University of Chicago Pritzker School of Medicine. The core group piloted the FDP for themselves in spring 2004, and the FDP was offered to target learners annually from 2004 to 2006.
CHAMP Participants
The targeted faculty learners for the CHAMP FDP were hospitalists and general internists who attend on an inpatient medicine service for 1 to 4 months yearly. CHAMP Faculty Scholars were self‐selected from the eligible faculty of the University of Chicago. Approximately one‐third of the CHAMP Faculty Scholars held significant administrative and/or teaching positions in the Department of Medicine, residency program, or medical school. Overall, general internist and hospitalist faculty members of the University of Chicago are highly rated inpatient teachers with a 2004‐2007 average overall resident teaching rating of 3.79 (standard deviation = 0.53) on a scale of 1 to 4 (4 = outstanding). For each yearly cohort, we sought to train 8 to 10 Faculty Scholars. The Donald W. Reynolds Foundation grant funds supported the time of the Faculty Scholars to attend the CHAMP FDP 4 hours weekly for the 12 weeks of the course with release from a half‐day of outpatient clinical duties per week for the length of the FDP. Scholars also received continuing medical education credit for time spent in the FDP.
CHAMP Course Design, Structure, and Content
Design and Structure
The CHAMP FDP consists of twelve 4‐hour sessions given once weekly from September through November of each calendar year. Each session is composed of discrete teaching modules. During the first 2 hours of each session, 1 or 2 modules cover inpatient geriatric medicine content. The remaining 2 hours are devoted to modules consisting of the Stanford FDP for Medical Teachers: Improving Clinical Teaching (first 7 sessions)15, 16 and a course developed for the CHAMP FDP named Teaching on Today's Wards (remaining 5 sessions).
In addition to the overarching goals of the CHAMP FDP, each CHAMP module has specific learning objectives and an evaluation process based on the standard precepts of curriculum design.17 Further modifications of the CHAMP content and methods were strongly influenced by subsequent formal evaluative feedback on the course content, materials, and methods by the Faculty Scholars in each of the 4 FDP groups to date.
Geriatrics Content
The FDP geriatrics content and design model were developed as follows: reviewing existing published geriatrics curricular materials,5, 6, 8, 18 including high‐risk areas of geriatric hospital care;1922 drawing from the experience of the inpatient geriatric evaluation and treatment units;2325 and reviewing the Joint Commission mandates26 that have a particular impact on the care of the older hospitalized patients (eg, high‐risk medications, medication reconciliation, restraint use, and transitions of care). Final curricular materials were approved by consensus of the University of Chicago geriatrics/hospitalist core CHAMP faculty. A needs assessment surveying hospitalists at a regional Society of Hospital Medicine meeting showed a strong concordance between geriatrics topics that respondents thought they were least confident about in their knowledge, that they thought would be most useful to learn, and that we proposed for the core geriatrics topics for the CHAMP FDP, including pharmacy of aging, pressure ulcers, delirium, palliative care, decision‐making capacity, and dementia.27
Each geriatric topic is presented in 30‐ to 90‐minute teaching sessions with didactic lectures and case‐based discussions and is organized around 4 broad themes (Table 1). These lectures emphasize application of the content to bedside teaching during hospital medicine rounds. For example, the session on dementia focuses on assessing decision‐making capacity, the impact of dementia on the care of other medical illnesses and discharge decisions, dementia‐associated frailty with increased risk of hospitalization‐related adverse outcomes, and pain assessment in persons with dementia.
|
| Theme 1: Identify the frail/vulnerable elder |
| Identification and assessment of the vulnerable hospitalized older patient |
| Dementia in hospitalized older medical patients: Recognition of and screening for dementia, assessment of medical decision‐making capacity, implications for the treatment of nondementia illness, pain assessment, and improvement of the posthospitalization transition of care |
| Theme 2: Recognize and avoid hazards of hospitalization |
| Delirium: Diagnosis, treatment, risk stratification, and prevention |
| Falls: Assessment and prevention |
| Foley catheters: Scope of the problem, appropriate indications, and management |
| Deconditioning: Scope of the problem and prevention |
| Adverse drug reactions and medication errors: Principles of drug review |
| Pressure ulcers: Assessment, treatment, and prevention |
| Theme 3: Palliate and address end‐of‐life issues |
| Pain control: General principles and use of opiates |
| Symptom management in advanced disease: Nausea |
| Difficult conversations and advance directives |
| Hospice and palliative care and changing goals of care |
| Theme 4: Improve transitions of care |
| The ideal hospital discharge: Core components and determining destination |
| Destinations of posthospital care: Nursing homes for skilled rehabilitation and long‐term care |
The CHAMP materials created for teaching each topic at the bedside included topic‐specific teaching triggers, clinical teaching questions, and summary teaching points. The bedside teaching materials and other teaching tools, such as pocket cards with teaching triggers and clinical content (see the example in the appendix), commonly used geriatric measures (eg, the Confusion Assessment Method for delirium),28 and sample forms for teaching aspects of practice‐based learning and improvement and systems‐based practice, were available to Faculty Scholars electronically on the University of Chicago Course Management System (the CHALK E‐learning Web site). The CHAMP materials are now published at the University of Chicago Web site (
Teaching Content
The material referring to the process of teaching has been organized under 4 components in the CHAMP FDP.
The Stanford FDP for Medical Teachers15, 16
This established teaching skills course uses case scenarios and practice sessions to hone skills in key elements of teaching: learning climate, control of session, communication of goals, promotion of understanding and retention, evaluation, feedback, and promotion of self‐directed learning. This portion of the FDP was taught by a University of Chicago General Medicine faculty member trained and certified to teach the course at Stanford.
Teaching on Today's Wards
The Teaching on Today's Wards component was developed specifically for CHAMP to address the following: (1) to improve bedside teaching in the specific setting of the inpatient wards; (2) to increase the amount of geriatric medicine content taught by nongeriatrics faculty during bedside rounds; and (3) to teach the specific ACGME core competencies of professionalism, communication, practice‐based learning and improvement, and systems‐based practice during ward rounds (Table 2).
| ACGME Core Competency | Addressed in CHAMP Curriculum |
|---|---|
| |
| Knowledge/patient care | All geriatric lectures (see Table 1) |
| Professionalism | Geriatric lectures |
| 1. Advance directives and difficult conversations | |
| 2. Dementia: Decision‐making capacity | |
| Teaching on Today's Wards exercises and games | |
| 1. Process mapping | |
| 2. I Hope I Get a Good Team game | |
| 3. Deciding What To Teach/Missed Teaching Opportunities game | |
| Communication | Geriatric lectures |
| 1. Advance directives and difficult conversations | |
| 2. Dementia: Decision‐making capacity | |
| 3. Destinations for posthospital care: Nursing homes | |
| Teaching on Today's Wards exercises and games | |
| 1. Process mapping | |
| 2. Deciding What To Teach/Missed Teaching Opportunities game | |
| Systems‐based practice | Geriatric lectures |
| 1. Frailty: Screening | |
| 2. Delirium: Screening and prevention | |
| 3. Deconditioning: Prevention | |
| 4. Falls: Prevention | |
| 5. Pressure ulcers: Prevention | |
| 6. Drugs and aging: Drug review | |
| 7. Foley catheter: Indications for use | |
| 8. Ideal hospital discharge | |
| Teaching on Today's Wards exercises and games | |
| 1. Process mapping | |
| 2. Deciding What To Teach/Missed Teaching Opportunities game | |
| 3. Quality improvement projects | |
| Practice‐based learning and improvement | Teaching on Today's Wards exercises and games |
| 1. Case audit | |
| 2. Census audit | |
| 3. Process mapping | |
Session one of Teaching on Today's Wards takes the Faculty Scholars through an exploration of their teaching process on a postcall day using process mapping.29, 30 This technique, similar to constructing a flow chart, involves outlining the series of steps involved in one's actual (not ideal) process of postcall teaching. Faculty Scholars then explore how to recognize opportunities and add geriatric topics and the ACGME core competencies to their teaching on the basis of their own teaching process, skill sets, and clinical experience.
Session two explores goal setting, team dynamics, and the incorporation of more geriatrics teaching into the Faculty Scholar's teaching agenda through a series of interactive card game exercises facilitated in small group discussion. Card game 1, I Hope I Get a Good Team, allows learners to practice goal setting for their inpatient team using a hypothetical game card team based on the learning level, individuals' strengths and weaknesses, and individuals' roles in the team hierarchy. Card game 2, Deciding What To Teach/Missed Opportunities, helps learners develop a teaching agenda on any set of patients that incorporates the CHAMP geriatric topics and the ACGME core competencies.
Sessions three and four teach learners about the systems‐based practice and practice‐based learning and improvement competencies, including an introduction to quality improvement. These interactive sessions introduce Faculty Scholars to the plan‐do‐study‐act method,31 using the example of census and case audits32 to provide an objective and structured method of assessing care. These audits provide a structure for the medical team to review its actual care and management practices and for faculty to teach quality improvement. Examples of census audits developed by CHAMP faculty, including deep venous thrombosis prophylaxis, Foley catheter use, and use of proton pump inhibitors, provide models for the faculty learners to create their own audits.
The fifth session focuses on developing skills for life‐long learning. Based on previous work on medical education and evidence‐based medicine,33, 34 these sessions provide learners with a framework to identify and address knowledge gaps, obtain effective consultation, ask pertinent questions of learners, and self‐assess their teaching skills.
Observed Structured Teaching Exercises
Observed structured teaching exercises allow the deliberate practice of teaching new curricular materials and skills and have been shown to improve teaching skills for both faculty and resident teachers using standardized students in a simulated teaching environment.3537 The observed structured teaching exercises developed for CHAMP allow the Faculty Scholars to practice teaching geriatrics content using the one‐minute preceptor teaching method.38
Commitment to Change (CTC) Contracts
CTC contracts provide a method for sustaining CHAMP teaching. At the end of the FDP, we ask Faculty Scholars to sign a CTC contract,39, 40 selecting at least 1 geriatric topic and 1 topic from Teaching on Today's Wards to teach in future inpatient teaching attending months. Over the year(s) following the FDP, the CHAMP project director frequently contacts the Faculty Scholars via e‐mail and phone interviews before, during, and after each month of inpatient service. The CTC contract is formally reviewed and revised annually with each CHAMP Faculty Scholar by the CHAMP project director and a core CHAMP faculty member.
Evaluation
A comprehensive multilevel evaluation scheme was developed based on the work of Kirkpatrick,41 including participant experience and teaching and subsequent clinical outcomes. This article reports only on the knowledge, attitudes, and behavioral self‐report data collected from participants, and remaining data will be presented in future articles.
The evaluation of the FDP program includes many commonly used methods for evaluating faculty learners, including recollection and retention of course content and self‐reported behavioral changes regarding the incorporation of the material into clinical teaching and practice. The more proximal evaluation includes precourse and postcourse performance on a previously validated geriatric medicine knowledge test,4244 precourse and postcourse performance on a validated survey of attitudes regarding older persons and geriatric medicine,45 a self‐assessment survey measuring self‐reported importance of and confidence in practicing and teaching geriatric skills, and Faculty Scholars' reports of subsequent frequency of teaching on the geriatric medicine and Teaching on Today's Wards content.
Faculty Scholars' feedback regarding their reaction to and satisfaction with the CHAMP FDP includes immediate postsession evaluations of each individual CHAMP FDP session and its content.
Analyses
We calculated the overall satisfaction of the FDP by aggregating evaluations for all session modules across the 4 cohorts. Satisfaction was measured with 6 questions, which included an overall satisfaction question and were answered with 5‐point Likert scales.
Pre‐CHAMP and post‐CHAMP scores on the geriatrics knowledge test and geriatrics attitude scale were calculated for each participant and compared with paired‐sample t tests. Composite scores for the self‐reported behavior for importance of/confidence in practice and importance of/confidence in teaching were calculated for each set of responses from each participant. The average scores across all 14 geriatrics content items for importance of/confidence in practice and importance of/confidence in teaching were calculated pre‐CHAMP and post‐CHAMP and compared with a paired‐sample t test. Similarly, self‐reported behavior ratings of importance of/confidence in teaching were calculated by the averaging of responses across the 10 Teaching on Today's Wards items. Pre‐CHAMP and post‐CHAMP average scores were compared with paired‐sample t tests on SPSS version 14 (SPSS, Chicago, IL). Data from the pilot sessions were included in the analyses to provide adequate power.
RESULTS
We pilot‐tested the format, materials, methods, and evaluation components of the CHAMP FDP with the CHAMP core faculty in the spring of 2004. The revised CHAMP FDP was given in the fall of 2004 to the first group of 8 faculty learners. Similar annual CHAMP FDPs have occurred since 2004, with a total of 29 Faculty Scholars by 2006. This includes approximately half of the University of Chicago general medicine faculty and the majority of the hospitalist faculty. Geriatrics fellows, a medicine chief resident, and other internal medicine subspecialists have also taken the CHAMP FDP. The average evaluations of all CHAMP sessions by all participants are shown in Table 3.
| Rating Criteria* | Average (SD) | N |
|---|---|---|
| ||
| Teaching methods were appropriate for the content covered. | 4.5 0.8 | 571 |
| The module made an important contribution to my practice. | 4.4 0.9 | 566 |
| Supplemental materials were effectively used to enhance learning. | 4.0 1.6 | 433 |
| I feel prepared to teach the material covered in this module. | 4.1 1.0 | 567 |
| I feel prepared to incorporate this material into my practice. | 4.4 0.8 | 569 |
| Overall, this was a valuable educational experience. | 4.5 0.8 | 565 |
Faculty Scholars rated the FDP highly regarding preparation for teaching and incorporation of the material into their teaching and practice. Likewise, qualitative comments by the Faculty Scholars were strongly supportive of CHAMP:
Significantly more aware and confident in teaching around typical geriatric issues present in our patients.
Provided concrete, structured ideas about curriculum, learning goals, content materials and how to implement them.
The online teaching resources were something I used on an almost daily basis.
Wish we had this for outpatient.
CHAMP had a favorable impact on the Faculty Scholars across the domains of knowledge, attitudes, and perceived behavior change (Table 4). Significant differences on paired‐sample t tests found significant improvement on all but one measure (importance of teaching). After the CHAMP program, Faculty Scholars were more knowledgeable about geriatrics content (P = 0.023), had more positive attitudes to older patients (P = 0.049), and had greater confidence in their ability to care for older patients (P < 0.001) and teach geriatric medicine skills (P < 0.001) and Teaching on Today's Wards content (P < 0.001). There was a significant increase in the perceived importance of practicing the learned skills (P = 0.008) and Teaching on Today's Wards (P = 0.001). The increased importance of teaching geriatrics skills was marginally significant (P = 0.064).
| Domain | N | Average Response | SE | P Value* | ||
|---|---|---|---|---|---|---|
| Pre‐CHAMP | Post‐CHAMP | |||||
| ||||||
| Knowledge | Geriatric medicine knowledge test | 21 | 62.14 | 68.05 | 2.40 | 0.023 |
| Attitudes | Geriatrics attitude scale | 26 | 56.86 | 58.38 | 0.736 | 0.049 |
| Self‐report behavior change | Importance of practice | 28 | 4.40 | 4.62 | 0.078 | 0.008 |
| Confidence in practice | 28 | 3.59 | 4.33 | 0.096 | <0.001 | |
| Importance of teaching | 27 | 4.52 | 4.66 | 0.074 | 0.064 | |
| Confidence in teaching | 27 | 3.42 | 4.47 | 0.112 | <0.001 | |
| Importance of Teaching on Today's Wards∥ | 27 | 3.92 | 4.30 | 0.093 | 0.001 | |
| Confidence in Teaching on Today's Wards∥ | 27 | 2.81 | 4.05 | 0.136 | <0.001 | |
DISCUSSION
Central to CHAMP's design are (1) the creation of teaching materials and teaching resources that specifically address the challenges of teaching the care of the hospitalized older patient in busy hospital settings, (2) the provision of methods to reinforce the newly learned geriatrics teaching skills, and (3) a multidimensional evaluation scheme. The enthusiastic response to the CHAMP FDP and the evaluation results to date support the relevance and importance of CHAMP's focus, materials, and educational methods. The ideal outcome for our CHAMP FDP graduates is more informed, confident, and frequent teaching of geriatrics topics keyed to quality improvement and systems of care through a more streamlined but personalized bedside teaching process.13, 46 The CHAMP Faculty Scholar graduates' self‐report surveys of their performance and teaching of CHAMP course geriatrics skills did reveal a significant shift in clinical behavior, teaching, and confidence. Although the strongest indicator of perceived behavior change was in the enhanced self‐confidence in practicing and teaching, the significant changes in knowledge and attitude reinforce our observations of a shift in the mindset about teaching and caring for hospitalized elderly patients. This provides strong evidence for the efficacy of the CHAMP course in positively influencing participants.
Our biggest challenge with the CHAMP FDP was providing enough ongoing support to reinforce learning with an eye on the greater goal of changing teaching behaviors and clinical outcomes. After pilot testing, we added multiple types of support and follow‐up to the FDP: observed structured teaching exercises to practice CHAMP geriatrics content and teaching skills; modification of Teaching on Today's Wards through the addition of practice‐oriented exercises, games, and tutorials; frequent contact with our Faculty Scholar graduates post‐CHAMP FDP through CTC contracts; annual Faculty Scholars reunions; and continued access for the scholars to CHAMP materials on our Web site. Maintaining face‐to‐face contact between CHAMP core faculty and Faculty Scholars once the latter have finished the FDP has been challenging, largely because of clinical and teaching obligations over geographically separate sites. To overcome this, we are working to integrate CHAMP core faculty into hospitalist and general medicine section lecture series, increasing the frequency of CHAMP reunions, renewing CTC contracts with the Faculty Scholar graduates annually, and considering the concept of CHAMP core faculty guests attending during Faculty Scholars inpatient ward rounds.47
The CHAMP FDP and our evaluations to date have several limitations. First, FDP Scholars were volunteer participants who may have been more motivated to improve their geriatric care and teaching than nonparticipants. However, FDP Scholars had only moderate levels of geriatrics knowledge, attitudes, and confidence in their teaching on baseline testing and showed marked improvements in these domains after the FDP. In addition, Scholars' FDP participation was made possible by a reduction of other clinical obligations through direct reimbursement to their sections with CHAMP funds. Other incentives for CHAMP participation could include its focus on generalizable bedside teaching skills and provision of specific techniques for teaching the ACGME core competencies and quality improvement while using geriatrics content. Although the CHAMP FDP in its 48‐hour format is not sustainable or generalizable, the FDP modules and CHAMP materials were specifically designed to be usable in small pieces that could be incorporated into existing teaching structures, grand rounds, section meetings, teacher conferences, and continuing medical education workshops. CHAMP core group members have already presented and taught CHAMP components in many venues (see Dissemination on the CHAMP Web site). The excitement generated by CHAMP at national and specialty meetings, including multiple requests for materials, speaks to widespread interest in our CHAMP model. We are pursuing the creation of a mini‐CHAMP, an abbreviated FDP with an online component. These activities as well as feedback from users of CHAMP materials from the CHAMP Web site and the Portal of Geriatric Online Education will provide important opportunities for examining the use and acceptance of CHAMP outside our institution.
Another limitation of the CHAMP FDP is reliance on FDP Scholar self‐assessment in several of the evaluation components. Some studies have shown poor concordance between physicians' self‐assessment and external assessment over a range of domains.48 However, others have noted that despite these limitations, self‐assessment remains an essential tool for enabling physicians to discover the motivational discomfort of a performance gap, which may lead to changing concepts and mental models or changing work‐flow processes.49 Teaching on Today's Wards sessions in CHAMP emphasize self‐audit processes (such as process mapping and census audits) that can augment self‐assessment. We used such self‐audit processes in 1 small pilot study to date, providing summative and qualitative feedback to a group of FDP Scholars on their use of census audits.
However, the evaluation of the CHAMP FDP is enhanced by a yearly survey of all medical residents and medical students and by the linking of the teaching reported by residents and medical students to specific attendings. We have begun the analysis of resident perceptions of being taught CHAMP geriatrics topics by CHAMP faculty versus non‐CHAMP faculty. In addition, we are gathering data on patient‐level process of care and outcomes tied to the CHAMP FDP course session objectives by linking to the ongoing University of Chicago Hospitalist Project, a large clinical research project that enrolls general medicine inpatients in a study examining the quality of care and resource allocation for these patients.50 Because the ultimate goal of CHAMP is to improve the quality of care and outcomes for elderly hospitalized patients, the University of Chicago Hospitalist Project infrastructure was modified by the incorporation of the Vulnerable Elder Survey‐1351 and a process‐of‐care chart audit specifically based on the Assessing Care of the Vulnerable Elders Hospital Quality Indicators.52 Preliminary work included testing and validating these measures.53 Further evaluation of these clinical outcomes and CHAMP's efficacy and durability at the University of Chicago is ongoing and will be presented in future reports.
CONCLUSIONS
Through a collaboration of geriatricians, hospitalists, and general internists, the CHAMP FDP provides educational materials and methods keyed to bedside teaching in the fast‐paced world of the hospital. CHAMP improves faculty knowledge and attitudes and the frequency of teaching geriatrics topics and skills necessary to deliver quality care to the elderly hospitalized medical patient. Although the CHAMP FDP was developed and refined for use at a specific institution, the multitiered CHAMP FDP materials and methods have the potential for widespread use by multiple types of inpatient attendings for teaching the care of the older hospitalized medicine patient. Hospitalists in particular will require this expertise as both clinicians and teachers as their role, leadership, and influence continue to expand nationally.
Acknowledgements
The Curriculum for the Hospitalized Aging Medical Patient (CHAMP) Program was supported by funding from the Donald W. Reynolds Foundation with matching funds from the University of Chicago Department of Medicine, by the Hartford Foundation Geriatrics Center for Excellence, and by a Geriatric Academic Career Award to Don Scott. Presentations on CHAMP and its materials include a number of national and international meeting venues, including meetings of the Society of Hospital Medicine, the American Geriatrics Society, and the Association of Program Directors in Internal Medicine and the International Ottawa Conference.
APPENDIX
EXAMPLE OF A CHAMP POCKET CARD: FOLEY CATHETERS
| CHAMP: Foley Catheters | CHAMP: Inability to Void | |
|---|---|---|
| ||
| Catherine DuBeau, MD, Geriatrics, University of Chicago | Catherine DuBeau, MD, Geriatrics, University of Chicago | |
| 1. Does this patient have a catheter? Incorporate regular catheter checks on rounds as a practice‐based learning and improvement exercise. | 1. Is there a medical reason for this patient's inability to void? | |
| Two Basic Reasons | ||
| 2. Does this patient need a catheter? | Poor pump | |
| Only Four Indications | ▪ Meds: anticholinergics, Ca++ blockers, narcotics | |
| a. Inability to void | ▪ Sacral cord disease | |
| b. Urinary incontinence and | ▪ Neuropathy: DM, B12 | |
| ▪ Open sacral or perineal wound | ▪ Constipation/emmpaction | |
| ▪ Palliative care | Blocked outlet | |
| c. Urine output monitoring | ▪ Prostate disease | |
| ▪ Critical illnessfrequent/urgent monitoring needed | ▪ Suprasacral spinal cord disease (eg, MS) with detrusor‐sphincter dyssynergia | |
| ▪ Patient unable/unwilling to collect urine | ▪ Women: scarring, large cystocele | |
| d. After general or spinal anesthesia | ▪ Constipation/emmpaction | |
| 3. Why should catheter use be minimized? | Evaluation of Inability To Void | |
| a. Infection risk | ||
| ▪ Cause of 40% of nosocomial infections | Action Step | Possible Medical Reasons |
| b. Morbidity | ||
| ▪ Internal catheters | ||
| ○Associated with delirium | Review meds | ‐Cholinergics, narcotics, calcium channel blockers, ‐agonists |
| ○Urethral and meatal injury | ||
| ○Bladder and renal stones | ||
| ○Fever | Review med Hx | Diabetes with neuropathy, sacral/subsacral cord, B12, GU surgery or radiation |
| ○Polymicrobial bacteruria | ||
| ▪ External (condom) catheters | ||
| ○Penile cellulitus/necrosis | Physical exam | Womenpelvic for prolapse; all‐sacral root S2‐4anal wink and bulbocavernosus reflexes |
| ○Urinary retention | ||
| ○Bacteruria and infection | ||
| c. Foleys are uncomfortable/painful. | Postvoiding residual | This should have been done in the evaluation of the patient's inability to void and repeated after catheter removal with voiding trial. |
| d. Foleys are restrictive falls and delirium. | ||
| e. Cost | ||
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- ,,,.Using an objective structured teaching evaluation for faculty development.Med Educ.2005;39:1160–1161.
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A crucial arena of innovative educational programs for the care of the elderly must include the hospital setting, a place of great cost, morbidity, and mortality for a population currently occupying approximately half of US hospital beds.1 With a marked acceleration in the number of persons living to an advanced age, there is a clear imperative to address the health‐care needs of the elderly, particularly the complex and frail.24 An educational grounding that steps beyond the traditional organ‐based models of disease to a much broader patient‐centered framework of care is necessary to aid physicians in advanced clinical decision‐making in the care of older patients. Organizing the medical care of the older patient within existing systems of care and a team care management network must also be improved.
Curricular materials and methods are widely available for teaching geriatric medicine,57 but most are geared toward outpatient care and management, with few addressing the care of the hospitalized, older medical patient.810 There is even less published on curricular materials, methods, and tools for such teaching outside of specialized hospital‐based geriatric units by nongeriatrics‐trained faculty.1113 Furthermore, the evaluation of geriatrics educational programs in the hospital setting has not been done with the ultimate assessment, the linking of educational programs to demonstrated changes in clinical practice and patient care outcomes.
To address these needs, we designed and implemented the Curriculum for the Hospitalized Aging Medical Patient (CHAMP) Faculty Development Program (FDP). CHAMP was funded by a grant from the Donald W. Reynolds Foundation Aging and Quality of Life Program with a matching commitment from the University of Chicago Department of Medicine. At the core of CHAMP are principles of care for the older patient in the hospital setting, with an emphasis on identifying and providing care for the complex and frail elderly with nongeriatrician inpatient medicine faculty as the primary teachers of these materials. The overall educational goals of the CHAMP FDP are the following: (1) to train hospitalists and general internists to recognize opportunities to teach geriatric medicine topics specific to the care of the hospitalized older patient; (2) to create teaching materials, tools, and methods that can be used in the busy medical inpatient setting at the bedside; (3) to create materials and tools that facilitate teaching the Accreditation Council for Graduate Medical Education (ACGME) core competencies14 during ward rounds; and (4) to increase the frequency and effectiveness with which this geriatrics content is taught in the hospital setting. This article describes the development and refinement of the CHAMP FDP and evaluation results to date.
METHODS
The CHAMP FDP was developed by a core group of geriatricians, hospitalists, general medicine faculty, and PhD educators from the Office of the Dean at the University of Chicago Pritzker School of Medicine. The core group piloted the FDP for themselves in spring 2004, and the FDP was offered to target learners annually from 2004 to 2006.
CHAMP Participants
The targeted faculty learners for the CHAMP FDP were hospitalists and general internists who attend on an inpatient medicine service for 1 to 4 months yearly. CHAMP Faculty Scholars were self‐selected from the eligible faculty of the University of Chicago. Approximately one‐third of the CHAMP Faculty Scholars held significant administrative and/or teaching positions in the Department of Medicine, residency program, or medical school. Overall, general internist and hospitalist faculty members of the University of Chicago are highly rated inpatient teachers with a 2004‐2007 average overall resident teaching rating of 3.79 (standard deviation = 0.53) on a scale of 1 to 4 (4 = outstanding). For each yearly cohort, we sought to train 8 to 10 Faculty Scholars. The Donald W. Reynolds Foundation grant funds supported the time of the Faculty Scholars to attend the CHAMP FDP 4 hours weekly for the 12 weeks of the course with release from a half‐day of outpatient clinical duties per week for the length of the FDP. Scholars also received continuing medical education credit for time spent in the FDP.
CHAMP Course Design, Structure, and Content
Design and Structure
The CHAMP FDP consists of twelve 4‐hour sessions given once weekly from September through November of each calendar year. Each session is composed of discrete teaching modules. During the first 2 hours of each session, 1 or 2 modules cover inpatient geriatric medicine content. The remaining 2 hours are devoted to modules consisting of the Stanford FDP for Medical Teachers: Improving Clinical Teaching (first 7 sessions)15, 16 and a course developed for the CHAMP FDP named Teaching on Today's Wards (remaining 5 sessions).
In addition to the overarching goals of the CHAMP FDP, each CHAMP module has specific learning objectives and an evaluation process based on the standard precepts of curriculum design.17 Further modifications of the CHAMP content and methods were strongly influenced by subsequent formal evaluative feedback on the course content, materials, and methods by the Faculty Scholars in each of the 4 FDP groups to date.
Geriatrics Content
The FDP geriatrics content and design model were developed as follows: reviewing existing published geriatrics curricular materials,5, 6, 8, 18 including high‐risk areas of geriatric hospital care;1922 drawing from the experience of the inpatient geriatric evaluation and treatment units;2325 and reviewing the Joint Commission mandates26 that have a particular impact on the care of the older hospitalized patients (eg, high‐risk medications, medication reconciliation, restraint use, and transitions of care). Final curricular materials were approved by consensus of the University of Chicago geriatrics/hospitalist core CHAMP faculty. A needs assessment surveying hospitalists at a regional Society of Hospital Medicine meeting showed a strong concordance between geriatrics topics that respondents thought they were least confident about in their knowledge, that they thought would be most useful to learn, and that we proposed for the core geriatrics topics for the CHAMP FDP, including pharmacy of aging, pressure ulcers, delirium, palliative care, decision‐making capacity, and dementia.27
Each geriatric topic is presented in 30‐ to 90‐minute teaching sessions with didactic lectures and case‐based discussions and is organized around 4 broad themes (Table 1). These lectures emphasize application of the content to bedside teaching during hospital medicine rounds. For example, the session on dementia focuses on assessing decision‐making capacity, the impact of dementia on the care of other medical illnesses and discharge decisions, dementia‐associated frailty with increased risk of hospitalization‐related adverse outcomes, and pain assessment in persons with dementia.
|
| Theme 1: Identify the frail/vulnerable elder |
| Identification and assessment of the vulnerable hospitalized older patient |
| Dementia in hospitalized older medical patients: Recognition of and screening for dementia, assessment of medical decision‐making capacity, implications for the treatment of nondementia illness, pain assessment, and improvement of the posthospitalization transition of care |
| Theme 2: Recognize and avoid hazards of hospitalization |
| Delirium: Diagnosis, treatment, risk stratification, and prevention |
| Falls: Assessment and prevention |
| Foley catheters: Scope of the problem, appropriate indications, and management |
| Deconditioning: Scope of the problem and prevention |
| Adverse drug reactions and medication errors: Principles of drug review |
| Pressure ulcers: Assessment, treatment, and prevention |
| Theme 3: Palliate and address end‐of‐life issues |
| Pain control: General principles and use of opiates |
| Symptom management in advanced disease: Nausea |
| Difficult conversations and advance directives |
| Hospice and palliative care and changing goals of care |
| Theme 4: Improve transitions of care |
| The ideal hospital discharge: Core components and determining destination |
| Destinations of posthospital care: Nursing homes for skilled rehabilitation and long‐term care |
The CHAMP materials created for teaching each topic at the bedside included topic‐specific teaching triggers, clinical teaching questions, and summary teaching points. The bedside teaching materials and other teaching tools, such as pocket cards with teaching triggers and clinical content (see the example in the appendix), commonly used geriatric measures (eg, the Confusion Assessment Method for delirium),28 and sample forms for teaching aspects of practice‐based learning and improvement and systems‐based practice, were available to Faculty Scholars electronically on the University of Chicago Course Management System (the CHALK E‐learning Web site). The CHAMP materials are now published at the University of Chicago Web site (
Teaching Content
The material referring to the process of teaching has been organized under 4 components in the CHAMP FDP.
The Stanford FDP for Medical Teachers15, 16
This established teaching skills course uses case scenarios and practice sessions to hone skills in key elements of teaching: learning climate, control of session, communication of goals, promotion of understanding and retention, evaluation, feedback, and promotion of self‐directed learning. This portion of the FDP was taught by a University of Chicago General Medicine faculty member trained and certified to teach the course at Stanford.
Teaching on Today's Wards
The Teaching on Today's Wards component was developed specifically for CHAMP to address the following: (1) to improve bedside teaching in the specific setting of the inpatient wards; (2) to increase the amount of geriatric medicine content taught by nongeriatrics faculty during bedside rounds; and (3) to teach the specific ACGME core competencies of professionalism, communication, practice‐based learning and improvement, and systems‐based practice during ward rounds (Table 2).
| ACGME Core Competency | Addressed in CHAMP Curriculum |
|---|---|
| |
| Knowledge/patient care | All geriatric lectures (see Table 1) |
| Professionalism | Geriatric lectures |
| 1. Advance directives and difficult conversations | |
| 2. Dementia: Decision‐making capacity | |
| Teaching on Today's Wards exercises and games | |
| 1. Process mapping | |
| 2. I Hope I Get a Good Team game | |
| 3. Deciding What To Teach/Missed Teaching Opportunities game | |
| Communication | Geriatric lectures |
| 1. Advance directives and difficult conversations | |
| 2. Dementia: Decision‐making capacity | |
| 3. Destinations for posthospital care: Nursing homes | |
| Teaching on Today's Wards exercises and games | |
| 1. Process mapping | |
| 2. Deciding What To Teach/Missed Teaching Opportunities game | |
| Systems‐based practice | Geriatric lectures |
| 1. Frailty: Screening | |
| 2. Delirium: Screening and prevention | |
| 3. Deconditioning: Prevention | |
| 4. Falls: Prevention | |
| 5. Pressure ulcers: Prevention | |
| 6. Drugs and aging: Drug review | |
| 7. Foley catheter: Indications for use | |
| 8. Ideal hospital discharge | |
| Teaching on Today's Wards exercises and games | |
| 1. Process mapping | |
| 2. Deciding What To Teach/Missed Teaching Opportunities game | |
| 3. Quality improvement projects | |
| Practice‐based learning and improvement | Teaching on Today's Wards exercises and games |
| 1. Case audit | |
| 2. Census audit | |
| 3. Process mapping | |
Session one of Teaching on Today's Wards takes the Faculty Scholars through an exploration of their teaching process on a postcall day using process mapping.29, 30 This technique, similar to constructing a flow chart, involves outlining the series of steps involved in one's actual (not ideal) process of postcall teaching. Faculty Scholars then explore how to recognize opportunities and add geriatric topics and the ACGME core competencies to their teaching on the basis of their own teaching process, skill sets, and clinical experience.
Session two explores goal setting, team dynamics, and the incorporation of more geriatrics teaching into the Faculty Scholar's teaching agenda through a series of interactive card game exercises facilitated in small group discussion. Card game 1, I Hope I Get a Good Team, allows learners to practice goal setting for their inpatient team using a hypothetical game card team based on the learning level, individuals' strengths and weaknesses, and individuals' roles in the team hierarchy. Card game 2, Deciding What To Teach/Missed Opportunities, helps learners develop a teaching agenda on any set of patients that incorporates the CHAMP geriatric topics and the ACGME core competencies.
Sessions three and four teach learners about the systems‐based practice and practice‐based learning and improvement competencies, including an introduction to quality improvement. These interactive sessions introduce Faculty Scholars to the plan‐do‐study‐act method,31 using the example of census and case audits32 to provide an objective and structured method of assessing care. These audits provide a structure for the medical team to review its actual care and management practices and for faculty to teach quality improvement. Examples of census audits developed by CHAMP faculty, including deep venous thrombosis prophylaxis, Foley catheter use, and use of proton pump inhibitors, provide models for the faculty learners to create their own audits.
The fifth session focuses on developing skills for life‐long learning. Based on previous work on medical education and evidence‐based medicine,33, 34 these sessions provide learners with a framework to identify and address knowledge gaps, obtain effective consultation, ask pertinent questions of learners, and self‐assess their teaching skills.
Observed Structured Teaching Exercises
Observed structured teaching exercises allow the deliberate practice of teaching new curricular materials and skills and have been shown to improve teaching skills for both faculty and resident teachers using standardized students in a simulated teaching environment.3537 The observed structured teaching exercises developed for CHAMP allow the Faculty Scholars to practice teaching geriatrics content using the one‐minute preceptor teaching method.38
Commitment to Change (CTC) Contracts
CTC contracts provide a method for sustaining CHAMP teaching. At the end of the FDP, we ask Faculty Scholars to sign a CTC contract,39, 40 selecting at least 1 geriatric topic and 1 topic from Teaching on Today's Wards to teach in future inpatient teaching attending months. Over the year(s) following the FDP, the CHAMP project director frequently contacts the Faculty Scholars via e‐mail and phone interviews before, during, and after each month of inpatient service. The CTC contract is formally reviewed and revised annually with each CHAMP Faculty Scholar by the CHAMP project director and a core CHAMP faculty member.
Evaluation
A comprehensive multilevel evaluation scheme was developed based on the work of Kirkpatrick,41 including participant experience and teaching and subsequent clinical outcomes. This article reports only on the knowledge, attitudes, and behavioral self‐report data collected from participants, and remaining data will be presented in future articles.
The evaluation of the FDP program includes many commonly used methods for evaluating faculty learners, including recollection and retention of course content and self‐reported behavioral changes regarding the incorporation of the material into clinical teaching and practice. The more proximal evaluation includes precourse and postcourse performance on a previously validated geriatric medicine knowledge test,4244 precourse and postcourse performance on a validated survey of attitudes regarding older persons and geriatric medicine,45 a self‐assessment survey measuring self‐reported importance of and confidence in practicing and teaching geriatric skills, and Faculty Scholars' reports of subsequent frequency of teaching on the geriatric medicine and Teaching on Today's Wards content.
Faculty Scholars' feedback regarding their reaction to and satisfaction with the CHAMP FDP includes immediate postsession evaluations of each individual CHAMP FDP session and its content.
Analyses
We calculated the overall satisfaction of the FDP by aggregating evaluations for all session modules across the 4 cohorts. Satisfaction was measured with 6 questions, which included an overall satisfaction question and were answered with 5‐point Likert scales.
Pre‐CHAMP and post‐CHAMP scores on the geriatrics knowledge test and geriatrics attitude scale were calculated for each participant and compared with paired‐sample t tests. Composite scores for the self‐reported behavior for importance of/confidence in practice and importance of/confidence in teaching were calculated for each set of responses from each participant. The average scores across all 14 geriatrics content items for importance of/confidence in practice and importance of/confidence in teaching were calculated pre‐CHAMP and post‐CHAMP and compared with a paired‐sample t test. Similarly, self‐reported behavior ratings of importance of/confidence in teaching were calculated by the averaging of responses across the 10 Teaching on Today's Wards items. Pre‐CHAMP and post‐CHAMP average scores were compared with paired‐sample t tests on SPSS version 14 (SPSS, Chicago, IL). Data from the pilot sessions were included in the analyses to provide adequate power.
RESULTS
We pilot‐tested the format, materials, methods, and evaluation components of the CHAMP FDP with the CHAMP core faculty in the spring of 2004. The revised CHAMP FDP was given in the fall of 2004 to the first group of 8 faculty learners. Similar annual CHAMP FDPs have occurred since 2004, with a total of 29 Faculty Scholars by 2006. This includes approximately half of the University of Chicago general medicine faculty and the majority of the hospitalist faculty. Geriatrics fellows, a medicine chief resident, and other internal medicine subspecialists have also taken the CHAMP FDP. The average evaluations of all CHAMP sessions by all participants are shown in Table 3.
| Rating Criteria* | Average (SD) | N |
|---|---|---|
| ||
| Teaching methods were appropriate for the content covered. | 4.5 0.8 | 571 |
| The module made an important contribution to my practice. | 4.4 0.9 | 566 |
| Supplemental materials were effectively used to enhance learning. | 4.0 1.6 | 433 |
| I feel prepared to teach the material covered in this module. | 4.1 1.0 | 567 |
| I feel prepared to incorporate this material into my practice. | 4.4 0.8 | 569 |
| Overall, this was a valuable educational experience. | 4.5 0.8 | 565 |
Faculty Scholars rated the FDP highly regarding preparation for teaching and incorporation of the material into their teaching and practice. Likewise, qualitative comments by the Faculty Scholars were strongly supportive of CHAMP:
Significantly more aware and confident in teaching around typical geriatric issues present in our patients.
Provided concrete, structured ideas about curriculum, learning goals, content materials and how to implement them.
The online teaching resources were something I used on an almost daily basis.
Wish we had this for outpatient.
CHAMP had a favorable impact on the Faculty Scholars across the domains of knowledge, attitudes, and perceived behavior change (Table 4). Significant differences on paired‐sample t tests found significant improvement on all but one measure (importance of teaching). After the CHAMP program, Faculty Scholars were more knowledgeable about geriatrics content (P = 0.023), had more positive attitudes to older patients (P = 0.049), and had greater confidence in their ability to care for older patients (P < 0.001) and teach geriatric medicine skills (P < 0.001) and Teaching on Today's Wards content (P < 0.001). There was a significant increase in the perceived importance of practicing the learned skills (P = 0.008) and Teaching on Today's Wards (P = 0.001). The increased importance of teaching geriatrics skills was marginally significant (P = 0.064).
| Domain | N | Average Response | SE | P Value* | ||
|---|---|---|---|---|---|---|
| Pre‐CHAMP | Post‐CHAMP | |||||
| ||||||
| Knowledge | Geriatric medicine knowledge test | 21 | 62.14 | 68.05 | 2.40 | 0.023 |
| Attitudes | Geriatrics attitude scale | 26 | 56.86 | 58.38 | 0.736 | 0.049 |
| Self‐report behavior change | Importance of practice | 28 | 4.40 | 4.62 | 0.078 | 0.008 |
| Confidence in practice | 28 | 3.59 | 4.33 | 0.096 | <0.001 | |
| Importance of teaching | 27 | 4.52 | 4.66 | 0.074 | 0.064 | |
| Confidence in teaching | 27 | 3.42 | 4.47 | 0.112 | <0.001 | |
| Importance of Teaching on Today's Wards∥ | 27 | 3.92 | 4.30 | 0.093 | 0.001 | |
| Confidence in Teaching on Today's Wards∥ | 27 | 2.81 | 4.05 | 0.136 | <0.001 | |
DISCUSSION
Central to CHAMP's design are (1) the creation of teaching materials and teaching resources that specifically address the challenges of teaching the care of the hospitalized older patient in busy hospital settings, (2) the provision of methods to reinforce the newly learned geriatrics teaching skills, and (3) a multidimensional evaluation scheme. The enthusiastic response to the CHAMP FDP and the evaluation results to date support the relevance and importance of CHAMP's focus, materials, and educational methods. The ideal outcome for our CHAMP FDP graduates is more informed, confident, and frequent teaching of geriatrics topics keyed to quality improvement and systems of care through a more streamlined but personalized bedside teaching process.13, 46 The CHAMP Faculty Scholar graduates' self‐report surveys of their performance and teaching of CHAMP course geriatrics skills did reveal a significant shift in clinical behavior, teaching, and confidence. Although the strongest indicator of perceived behavior change was in the enhanced self‐confidence in practicing and teaching, the significant changes in knowledge and attitude reinforce our observations of a shift in the mindset about teaching and caring for hospitalized elderly patients. This provides strong evidence for the efficacy of the CHAMP course in positively influencing participants.
Our biggest challenge with the CHAMP FDP was providing enough ongoing support to reinforce learning with an eye on the greater goal of changing teaching behaviors and clinical outcomes. After pilot testing, we added multiple types of support and follow‐up to the FDP: observed structured teaching exercises to practice CHAMP geriatrics content and teaching skills; modification of Teaching on Today's Wards through the addition of practice‐oriented exercises, games, and tutorials; frequent contact with our Faculty Scholar graduates post‐CHAMP FDP through CTC contracts; annual Faculty Scholars reunions; and continued access for the scholars to CHAMP materials on our Web site. Maintaining face‐to‐face contact between CHAMP core faculty and Faculty Scholars once the latter have finished the FDP has been challenging, largely because of clinical and teaching obligations over geographically separate sites. To overcome this, we are working to integrate CHAMP core faculty into hospitalist and general medicine section lecture series, increasing the frequency of CHAMP reunions, renewing CTC contracts with the Faculty Scholar graduates annually, and considering the concept of CHAMP core faculty guests attending during Faculty Scholars inpatient ward rounds.47
The CHAMP FDP and our evaluations to date have several limitations. First, FDP Scholars were volunteer participants who may have been more motivated to improve their geriatric care and teaching than nonparticipants. However, FDP Scholars had only moderate levels of geriatrics knowledge, attitudes, and confidence in their teaching on baseline testing and showed marked improvements in these domains after the FDP. In addition, Scholars' FDP participation was made possible by a reduction of other clinical obligations through direct reimbursement to their sections with CHAMP funds. Other incentives for CHAMP participation could include its focus on generalizable bedside teaching skills and provision of specific techniques for teaching the ACGME core competencies and quality improvement while using geriatrics content. Although the CHAMP FDP in its 48‐hour format is not sustainable or generalizable, the FDP modules and CHAMP materials were specifically designed to be usable in small pieces that could be incorporated into existing teaching structures, grand rounds, section meetings, teacher conferences, and continuing medical education workshops. CHAMP core group members have already presented and taught CHAMP components in many venues (see Dissemination on the CHAMP Web site). The excitement generated by CHAMP at national and specialty meetings, including multiple requests for materials, speaks to widespread interest in our CHAMP model. We are pursuing the creation of a mini‐CHAMP, an abbreviated FDP with an online component. These activities as well as feedback from users of CHAMP materials from the CHAMP Web site and the Portal of Geriatric Online Education will provide important opportunities for examining the use and acceptance of CHAMP outside our institution.
Another limitation of the CHAMP FDP is reliance on FDP Scholar self‐assessment in several of the evaluation components. Some studies have shown poor concordance between physicians' self‐assessment and external assessment over a range of domains.48 However, others have noted that despite these limitations, self‐assessment remains an essential tool for enabling physicians to discover the motivational discomfort of a performance gap, which may lead to changing concepts and mental models or changing work‐flow processes.49 Teaching on Today's Wards sessions in CHAMP emphasize self‐audit processes (such as process mapping and census audits) that can augment self‐assessment. We used such self‐audit processes in 1 small pilot study to date, providing summative and qualitative feedback to a group of FDP Scholars on their use of census audits.
However, the evaluation of the CHAMP FDP is enhanced by a yearly survey of all medical residents and medical students and by the linking of the teaching reported by residents and medical students to specific attendings. We have begun the analysis of resident perceptions of being taught CHAMP geriatrics topics by CHAMP faculty versus non‐CHAMP faculty. In addition, we are gathering data on patient‐level process of care and outcomes tied to the CHAMP FDP course session objectives by linking to the ongoing University of Chicago Hospitalist Project, a large clinical research project that enrolls general medicine inpatients in a study examining the quality of care and resource allocation for these patients.50 Because the ultimate goal of CHAMP is to improve the quality of care and outcomes for elderly hospitalized patients, the University of Chicago Hospitalist Project infrastructure was modified by the incorporation of the Vulnerable Elder Survey‐1351 and a process‐of‐care chart audit specifically based on the Assessing Care of the Vulnerable Elders Hospital Quality Indicators.52 Preliminary work included testing and validating these measures.53 Further evaluation of these clinical outcomes and CHAMP's efficacy and durability at the University of Chicago is ongoing and will be presented in future reports.
CONCLUSIONS
Through a collaboration of geriatricians, hospitalists, and general internists, the CHAMP FDP provides educational materials and methods keyed to bedside teaching in the fast‐paced world of the hospital. CHAMP improves faculty knowledge and attitudes and the frequency of teaching geriatrics topics and skills necessary to deliver quality care to the elderly hospitalized medical patient. Although the CHAMP FDP was developed and refined for use at a specific institution, the multitiered CHAMP FDP materials and methods have the potential for widespread use by multiple types of inpatient attendings for teaching the care of the older hospitalized medicine patient. Hospitalists in particular will require this expertise as both clinicians and teachers as their role, leadership, and influence continue to expand nationally.
Acknowledgements
The Curriculum for the Hospitalized Aging Medical Patient (CHAMP) Program was supported by funding from the Donald W. Reynolds Foundation with matching funds from the University of Chicago Department of Medicine, by the Hartford Foundation Geriatrics Center for Excellence, and by a Geriatric Academic Career Award to Don Scott. Presentations on CHAMP and its materials include a number of national and international meeting venues, including meetings of the Society of Hospital Medicine, the American Geriatrics Society, and the Association of Program Directors in Internal Medicine and the International Ottawa Conference.
APPENDIX
EXAMPLE OF A CHAMP POCKET CARD: FOLEY CATHETERS
| CHAMP: Foley Catheters | CHAMP: Inability to Void | |
|---|---|---|
| ||
| Catherine DuBeau, MD, Geriatrics, University of Chicago | Catherine DuBeau, MD, Geriatrics, University of Chicago | |
| 1. Does this patient have a catheter? Incorporate regular catheter checks on rounds as a practice‐based learning and improvement exercise. | 1. Is there a medical reason for this patient's inability to void? | |
| Two Basic Reasons | ||
| 2. Does this patient need a catheter? | Poor pump | |
| Only Four Indications | ▪ Meds: anticholinergics, Ca++ blockers, narcotics | |
| a. Inability to void | ▪ Sacral cord disease | |
| b. Urinary incontinence and | ▪ Neuropathy: DM, B12 | |
| ▪ Open sacral or perineal wound | ▪ Constipation/emmpaction | |
| ▪ Palliative care | Blocked outlet | |
| c. Urine output monitoring | ▪ Prostate disease | |
| ▪ Critical illnessfrequent/urgent monitoring needed | ▪ Suprasacral spinal cord disease (eg, MS) with detrusor‐sphincter dyssynergia | |
| ▪ Patient unable/unwilling to collect urine | ▪ Women: scarring, large cystocele | |
| d. After general or spinal anesthesia | ▪ Constipation/emmpaction | |
| 3. Why should catheter use be minimized? | Evaluation of Inability To Void | |
| a. Infection risk | ||
| ▪ Cause of 40% of nosocomial infections | Action Step | Possible Medical Reasons |
| b. Morbidity | ||
| ▪ Internal catheters | ||
| ○Associated with delirium | Review meds | ‐Cholinergics, narcotics, calcium channel blockers, ‐agonists |
| ○Urethral and meatal injury | ||
| ○Bladder and renal stones | ||
| ○Fever | Review med Hx | Diabetes with neuropathy, sacral/subsacral cord, B12, GU surgery or radiation |
| ○Polymicrobial bacteruria | ||
| ▪ External (condom) catheters | ||
| ○Penile cellulitus/necrosis | Physical exam | Womenpelvic for prolapse; all‐sacral root S2‐4anal wink and bulbocavernosus reflexes |
| ○Urinary retention | ||
| ○Bacteruria and infection | ||
| c. Foleys are uncomfortable/painful. | Postvoiding residual | This should have been done in the evaluation of the patient's inability to void and repeated after catheter removal with voiding trial. |
| d. Foleys are restrictive falls and delirium. | ||
| e. Cost | ||
A crucial arena of innovative educational programs for the care of the elderly must include the hospital setting, a place of great cost, morbidity, and mortality for a population currently occupying approximately half of US hospital beds.1 With a marked acceleration in the number of persons living to an advanced age, there is a clear imperative to address the health‐care needs of the elderly, particularly the complex and frail.24 An educational grounding that steps beyond the traditional organ‐based models of disease to a much broader patient‐centered framework of care is necessary to aid physicians in advanced clinical decision‐making in the care of older patients. Organizing the medical care of the older patient within existing systems of care and a team care management network must also be improved.
Curricular materials and methods are widely available for teaching geriatric medicine,57 but most are geared toward outpatient care and management, with few addressing the care of the hospitalized, older medical patient.810 There is even less published on curricular materials, methods, and tools for such teaching outside of specialized hospital‐based geriatric units by nongeriatrics‐trained faculty.1113 Furthermore, the evaluation of geriatrics educational programs in the hospital setting has not been done with the ultimate assessment, the linking of educational programs to demonstrated changes in clinical practice and patient care outcomes.
To address these needs, we designed and implemented the Curriculum for the Hospitalized Aging Medical Patient (CHAMP) Faculty Development Program (FDP). CHAMP was funded by a grant from the Donald W. Reynolds Foundation Aging and Quality of Life Program with a matching commitment from the University of Chicago Department of Medicine. At the core of CHAMP are principles of care for the older patient in the hospital setting, with an emphasis on identifying and providing care for the complex and frail elderly with nongeriatrician inpatient medicine faculty as the primary teachers of these materials. The overall educational goals of the CHAMP FDP are the following: (1) to train hospitalists and general internists to recognize opportunities to teach geriatric medicine topics specific to the care of the hospitalized older patient; (2) to create teaching materials, tools, and methods that can be used in the busy medical inpatient setting at the bedside; (3) to create materials and tools that facilitate teaching the Accreditation Council for Graduate Medical Education (ACGME) core competencies14 during ward rounds; and (4) to increase the frequency and effectiveness with which this geriatrics content is taught in the hospital setting. This article describes the development and refinement of the CHAMP FDP and evaluation results to date.
METHODS
The CHAMP FDP was developed by a core group of geriatricians, hospitalists, general medicine faculty, and PhD educators from the Office of the Dean at the University of Chicago Pritzker School of Medicine. The core group piloted the FDP for themselves in spring 2004, and the FDP was offered to target learners annually from 2004 to 2006.
CHAMP Participants
The targeted faculty learners for the CHAMP FDP were hospitalists and general internists who attend on an inpatient medicine service for 1 to 4 months yearly. CHAMP Faculty Scholars were self‐selected from the eligible faculty of the University of Chicago. Approximately one‐third of the CHAMP Faculty Scholars held significant administrative and/or teaching positions in the Department of Medicine, residency program, or medical school. Overall, general internist and hospitalist faculty members of the University of Chicago are highly rated inpatient teachers with a 2004‐2007 average overall resident teaching rating of 3.79 (standard deviation = 0.53) on a scale of 1 to 4 (4 = outstanding). For each yearly cohort, we sought to train 8 to 10 Faculty Scholars. The Donald W. Reynolds Foundation grant funds supported the time of the Faculty Scholars to attend the CHAMP FDP 4 hours weekly for the 12 weeks of the course with release from a half‐day of outpatient clinical duties per week for the length of the FDP. Scholars also received continuing medical education credit for time spent in the FDP.
CHAMP Course Design, Structure, and Content
Design and Structure
The CHAMP FDP consists of twelve 4‐hour sessions given once weekly from September through November of each calendar year. Each session is composed of discrete teaching modules. During the first 2 hours of each session, 1 or 2 modules cover inpatient geriatric medicine content. The remaining 2 hours are devoted to modules consisting of the Stanford FDP for Medical Teachers: Improving Clinical Teaching (first 7 sessions)15, 16 and a course developed for the CHAMP FDP named Teaching on Today's Wards (remaining 5 sessions).
In addition to the overarching goals of the CHAMP FDP, each CHAMP module has specific learning objectives and an evaluation process based on the standard precepts of curriculum design.17 Further modifications of the CHAMP content and methods were strongly influenced by subsequent formal evaluative feedback on the course content, materials, and methods by the Faculty Scholars in each of the 4 FDP groups to date.
Geriatrics Content
The FDP geriatrics content and design model were developed as follows: reviewing existing published geriatrics curricular materials,5, 6, 8, 18 including high‐risk areas of geriatric hospital care;1922 drawing from the experience of the inpatient geriatric evaluation and treatment units;2325 and reviewing the Joint Commission mandates26 that have a particular impact on the care of the older hospitalized patients (eg, high‐risk medications, medication reconciliation, restraint use, and transitions of care). Final curricular materials were approved by consensus of the University of Chicago geriatrics/hospitalist core CHAMP faculty. A needs assessment surveying hospitalists at a regional Society of Hospital Medicine meeting showed a strong concordance between geriatrics topics that respondents thought they were least confident about in their knowledge, that they thought would be most useful to learn, and that we proposed for the core geriatrics topics for the CHAMP FDP, including pharmacy of aging, pressure ulcers, delirium, palliative care, decision‐making capacity, and dementia.27
Each geriatric topic is presented in 30‐ to 90‐minute teaching sessions with didactic lectures and case‐based discussions and is organized around 4 broad themes (Table 1). These lectures emphasize application of the content to bedside teaching during hospital medicine rounds. For example, the session on dementia focuses on assessing decision‐making capacity, the impact of dementia on the care of other medical illnesses and discharge decisions, dementia‐associated frailty with increased risk of hospitalization‐related adverse outcomes, and pain assessment in persons with dementia.
|
| Theme 1: Identify the frail/vulnerable elder |
| Identification and assessment of the vulnerable hospitalized older patient |
| Dementia in hospitalized older medical patients: Recognition of and screening for dementia, assessment of medical decision‐making capacity, implications for the treatment of nondementia illness, pain assessment, and improvement of the posthospitalization transition of care |
| Theme 2: Recognize and avoid hazards of hospitalization |
| Delirium: Diagnosis, treatment, risk stratification, and prevention |
| Falls: Assessment and prevention |
| Foley catheters: Scope of the problem, appropriate indications, and management |
| Deconditioning: Scope of the problem and prevention |
| Adverse drug reactions and medication errors: Principles of drug review |
| Pressure ulcers: Assessment, treatment, and prevention |
| Theme 3: Palliate and address end‐of‐life issues |
| Pain control: General principles and use of opiates |
| Symptom management in advanced disease: Nausea |
| Difficult conversations and advance directives |
| Hospice and palliative care and changing goals of care |
| Theme 4: Improve transitions of care |
| The ideal hospital discharge: Core components and determining destination |
| Destinations of posthospital care: Nursing homes for skilled rehabilitation and long‐term care |
The CHAMP materials created for teaching each topic at the bedside included topic‐specific teaching triggers, clinical teaching questions, and summary teaching points. The bedside teaching materials and other teaching tools, such as pocket cards with teaching triggers and clinical content (see the example in the appendix), commonly used geriatric measures (eg, the Confusion Assessment Method for delirium),28 and sample forms for teaching aspects of practice‐based learning and improvement and systems‐based practice, were available to Faculty Scholars electronically on the University of Chicago Course Management System (the CHALK E‐learning Web site). The CHAMP materials are now published at the University of Chicago Web site (
Teaching Content
The material referring to the process of teaching has been organized under 4 components in the CHAMP FDP.
The Stanford FDP for Medical Teachers15, 16
This established teaching skills course uses case scenarios and practice sessions to hone skills in key elements of teaching: learning climate, control of session, communication of goals, promotion of understanding and retention, evaluation, feedback, and promotion of self‐directed learning. This portion of the FDP was taught by a University of Chicago General Medicine faculty member trained and certified to teach the course at Stanford.
Teaching on Today's Wards
The Teaching on Today's Wards component was developed specifically for CHAMP to address the following: (1) to improve bedside teaching in the specific setting of the inpatient wards; (2) to increase the amount of geriatric medicine content taught by nongeriatrics faculty during bedside rounds; and (3) to teach the specific ACGME core competencies of professionalism, communication, practice‐based learning and improvement, and systems‐based practice during ward rounds (Table 2).
| ACGME Core Competency | Addressed in CHAMP Curriculum |
|---|---|
| |
| Knowledge/patient care | All geriatric lectures (see Table 1) |
| Professionalism | Geriatric lectures |
| 1. Advance directives and difficult conversations | |
| 2. Dementia: Decision‐making capacity | |
| Teaching on Today's Wards exercises and games | |
| 1. Process mapping | |
| 2. I Hope I Get a Good Team game | |
| 3. Deciding What To Teach/Missed Teaching Opportunities game | |
| Communication | Geriatric lectures |
| 1. Advance directives and difficult conversations | |
| 2. Dementia: Decision‐making capacity | |
| 3. Destinations for posthospital care: Nursing homes | |
| Teaching on Today's Wards exercises and games | |
| 1. Process mapping | |
| 2. Deciding What To Teach/Missed Teaching Opportunities game | |
| Systems‐based practice | Geriatric lectures |
| 1. Frailty: Screening | |
| 2. Delirium: Screening and prevention | |
| 3. Deconditioning: Prevention | |
| 4. Falls: Prevention | |
| 5. Pressure ulcers: Prevention | |
| 6. Drugs and aging: Drug review | |
| 7. Foley catheter: Indications for use | |
| 8. Ideal hospital discharge | |
| Teaching on Today's Wards exercises and games | |
| 1. Process mapping | |
| 2. Deciding What To Teach/Missed Teaching Opportunities game | |
| 3. Quality improvement projects | |
| Practice‐based learning and improvement | Teaching on Today's Wards exercises and games |
| 1. Case audit | |
| 2. Census audit | |
| 3. Process mapping | |
Session one of Teaching on Today's Wards takes the Faculty Scholars through an exploration of their teaching process on a postcall day using process mapping.29, 30 This technique, similar to constructing a flow chart, involves outlining the series of steps involved in one's actual (not ideal) process of postcall teaching. Faculty Scholars then explore how to recognize opportunities and add geriatric topics and the ACGME core competencies to their teaching on the basis of their own teaching process, skill sets, and clinical experience.
Session two explores goal setting, team dynamics, and the incorporation of more geriatrics teaching into the Faculty Scholar's teaching agenda through a series of interactive card game exercises facilitated in small group discussion. Card game 1, I Hope I Get a Good Team, allows learners to practice goal setting for their inpatient team using a hypothetical game card team based on the learning level, individuals' strengths and weaknesses, and individuals' roles in the team hierarchy. Card game 2, Deciding What To Teach/Missed Opportunities, helps learners develop a teaching agenda on any set of patients that incorporates the CHAMP geriatric topics and the ACGME core competencies.
Sessions three and four teach learners about the systems‐based practice and practice‐based learning and improvement competencies, including an introduction to quality improvement. These interactive sessions introduce Faculty Scholars to the plan‐do‐study‐act method,31 using the example of census and case audits32 to provide an objective and structured method of assessing care. These audits provide a structure for the medical team to review its actual care and management practices and for faculty to teach quality improvement. Examples of census audits developed by CHAMP faculty, including deep venous thrombosis prophylaxis, Foley catheter use, and use of proton pump inhibitors, provide models for the faculty learners to create their own audits.
The fifth session focuses on developing skills for life‐long learning. Based on previous work on medical education and evidence‐based medicine,33, 34 these sessions provide learners with a framework to identify and address knowledge gaps, obtain effective consultation, ask pertinent questions of learners, and self‐assess their teaching skills.
Observed Structured Teaching Exercises
Observed structured teaching exercises allow the deliberate practice of teaching new curricular materials and skills and have been shown to improve teaching skills for both faculty and resident teachers using standardized students in a simulated teaching environment.3537 The observed structured teaching exercises developed for CHAMP allow the Faculty Scholars to practice teaching geriatrics content using the one‐minute preceptor teaching method.38
Commitment to Change (CTC) Contracts
CTC contracts provide a method for sustaining CHAMP teaching. At the end of the FDP, we ask Faculty Scholars to sign a CTC contract,39, 40 selecting at least 1 geriatric topic and 1 topic from Teaching on Today's Wards to teach in future inpatient teaching attending months. Over the year(s) following the FDP, the CHAMP project director frequently contacts the Faculty Scholars via e‐mail and phone interviews before, during, and after each month of inpatient service. The CTC contract is formally reviewed and revised annually with each CHAMP Faculty Scholar by the CHAMP project director and a core CHAMP faculty member.
Evaluation
A comprehensive multilevel evaluation scheme was developed based on the work of Kirkpatrick,41 including participant experience and teaching and subsequent clinical outcomes. This article reports only on the knowledge, attitudes, and behavioral self‐report data collected from participants, and remaining data will be presented in future articles.
The evaluation of the FDP program includes many commonly used methods for evaluating faculty learners, including recollection and retention of course content and self‐reported behavioral changes regarding the incorporation of the material into clinical teaching and practice. The more proximal evaluation includes precourse and postcourse performance on a previously validated geriatric medicine knowledge test,4244 precourse and postcourse performance on a validated survey of attitudes regarding older persons and geriatric medicine,45 a self‐assessment survey measuring self‐reported importance of and confidence in practicing and teaching geriatric skills, and Faculty Scholars' reports of subsequent frequency of teaching on the geriatric medicine and Teaching on Today's Wards content.
Faculty Scholars' feedback regarding their reaction to and satisfaction with the CHAMP FDP includes immediate postsession evaluations of each individual CHAMP FDP session and its content.
Analyses
We calculated the overall satisfaction of the FDP by aggregating evaluations for all session modules across the 4 cohorts. Satisfaction was measured with 6 questions, which included an overall satisfaction question and were answered with 5‐point Likert scales.
Pre‐CHAMP and post‐CHAMP scores on the geriatrics knowledge test and geriatrics attitude scale were calculated for each participant and compared with paired‐sample t tests. Composite scores for the self‐reported behavior for importance of/confidence in practice and importance of/confidence in teaching were calculated for each set of responses from each participant. The average scores across all 14 geriatrics content items for importance of/confidence in practice and importance of/confidence in teaching were calculated pre‐CHAMP and post‐CHAMP and compared with a paired‐sample t test. Similarly, self‐reported behavior ratings of importance of/confidence in teaching were calculated by the averaging of responses across the 10 Teaching on Today's Wards items. Pre‐CHAMP and post‐CHAMP average scores were compared with paired‐sample t tests on SPSS version 14 (SPSS, Chicago, IL). Data from the pilot sessions were included in the analyses to provide adequate power.
RESULTS
We pilot‐tested the format, materials, methods, and evaluation components of the CHAMP FDP with the CHAMP core faculty in the spring of 2004. The revised CHAMP FDP was given in the fall of 2004 to the first group of 8 faculty learners. Similar annual CHAMP FDPs have occurred since 2004, with a total of 29 Faculty Scholars by 2006. This includes approximately half of the University of Chicago general medicine faculty and the majority of the hospitalist faculty. Geriatrics fellows, a medicine chief resident, and other internal medicine subspecialists have also taken the CHAMP FDP. The average evaluations of all CHAMP sessions by all participants are shown in Table 3.
| Rating Criteria* | Average (SD) | N |
|---|---|---|
| ||
| Teaching methods were appropriate for the content covered. | 4.5 0.8 | 571 |
| The module made an important contribution to my practice. | 4.4 0.9 | 566 |
| Supplemental materials were effectively used to enhance learning. | 4.0 1.6 | 433 |
| I feel prepared to teach the material covered in this module. | 4.1 1.0 | 567 |
| I feel prepared to incorporate this material into my practice. | 4.4 0.8 | 569 |
| Overall, this was a valuable educational experience. | 4.5 0.8 | 565 |
Faculty Scholars rated the FDP highly regarding preparation for teaching and incorporation of the material into their teaching and practice. Likewise, qualitative comments by the Faculty Scholars were strongly supportive of CHAMP:
Significantly more aware and confident in teaching around typical geriatric issues present in our patients.
Provided concrete, structured ideas about curriculum, learning goals, content materials and how to implement them.
The online teaching resources were something I used on an almost daily basis.
Wish we had this for outpatient.
CHAMP had a favorable impact on the Faculty Scholars across the domains of knowledge, attitudes, and perceived behavior change (Table 4). Significant differences on paired‐sample t tests found significant improvement on all but one measure (importance of teaching). After the CHAMP program, Faculty Scholars were more knowledgeable about geriatrics content (P = 0.023), had more positive attitudes to older patients (P = 0.049), and had greater confidence in their ability to care for older patients (P < 0.001) and teach geriatric medicine skills (P < 0.001) and Teaching on Today's Wards content (P < 0.001). There was a significant increase in the perceived importance of practicing the learned skills (P = 0.008) and Teaching on Today's Wards (P = 0.001). The increased importance of teaching geriatrics skills was marginally significant (P = 0.064).
| Domain | N | Average Response | SE | P Value* | ||
|---|---|---|---|---|---|---|
| Pre‐CHAMP | Post‐CHAMP | |||||
| ||||||
| Knowledge | Geriatric medicine knowledge test | 21 | 62.14 | 68.05 | 2.40 | 0.023 |
| Attitudes | Geriatrics attitude scale | 26 | 56.86 | 58.38 | 0.736 | 0.049 |
| Self‐report behavior change | Importance of practice | 28 | 4.40 | 4.62 | 0.078 | 0.008 |
| Confidence in practice | 28 | 3.59 | 4.33 | 0.096 | <0.001 | |
| Importance of teaching | 27 | 4.52 | 4.66 | 0.074 | 0.064 | |
| Confidence in teaching | 27 | 3.42 | 4.47 | 0.112 | <0.001 | |
| Importance of Teaching on Today's Wards∥ | 27 | 3.92 | 4.30 | 0.093 | 0.001 | |
| Confidence in Teaching on Today's Wards∥ | 27 | 2.81 | 4.05 | 0.136 | <0.001 | |
DISCUSSION
Central to CHAMP's design are (1) the creation of teaching materials and teaching resources that specifically address the challenges of teaching the care of the hospitalized older patient in busy hospital settings, (2) the provision of methods to reinforce the newly learned geriatrics teaching skills, and (3) a multidimensional evaluation scheme. The enthusiastic response to the CHAMP FDP and the evaluation results to date support the relevance and importance of CHAMP's focus, materials, and educational methods. The ideal outcome for our CHAMP FDP graduates is more informed, confident, and frequent teaching of geriatrics topics keyed to quality improvement and systems of care through a more streamlined but personalized bedside teaching process.13, 46 The CHAMP Faculty Scholar graduates' self‐report surveys of their performance and teaching of CHAMP course geriatrics skills did reveal a significant shift in clinical behavior, teaching, and confidence. Although the strongest indicator of perceived behavior change was in the enhanced self‐confidence in practicing and teaching, the significant changes in knowledge and attitude reinforce our observations of a shift in the mindset about teaching and caring for hospitalized elderly patients. This provides strong evidence for the efficacy of the CHAMP course in positively influencing participants.
Our biggest challenge with the CHAMP FDP was providing enough ongoing support to reinforce learning with an eye on the greater goal of changing teaching behaviors and clinical outcomes. After pilot testing, we added multiple types of support and follow‐up to the FDP: observed structured teaching exercises to practice CHAMP geriatrics content and teaching skills; modification of Teaching on Today's Wards through the addition of practice‐oriented exercises, games, and tutorials; frequent contact with our Faculty Scholar graduates post‐CHAMP FDP through CTC contracts; annual Faculty Scholars reunions; and continued access for the scholars to CHAMP materials on our Web site. Maintaining face‐to‐face contact between CHAMP core faculty and Faculty Scholars once the latter have finished the FDP has been challenging, largely because of clinical and teaching obligations over geographically separate sites. To overcome this, we are working to integrate CHAMP core faculty into hospitalist and general medicine section lecture series, increasing the frequency of CHAMP reunions, renewing CTC contracts with the Faculty Scholar graduates annually, and considering the concept of CHAMP core faculty guests attending during Faculty Scholars inpatient ward rounds.47
The CHAMP FDP and our evaluations to date have several limitations. First, FDP Scholars were volunteer participants who may have been more motivated to improve their geriatric care and teaching than nonparticipants. However, FDP Scholars had only moderate levels of geriatrics knowledge, attitudes, and confidence in their teaching on baseline testing and showed marked improvements in these domains after the FDP. In addition, Scholars' FDP participation was made possible by a reduction of other clinical obligations through direct reimbursement to their sections with CHAMP funds. Other incentives for CHAMP participation could include its focus on generalizable bedside teaching skills and provision of specific techniques for teaching the ACGME core competencies and quality improvement while using geriatrics content. Although the CHAMP FDP in its 48‐hour format is not sustainable or generalizable, the FDP modules and CHAMP materials were specifically designed to be usable in small pieces that could be incorporated into existing teaching structures, grand rounds, section meetings, teacher conferences, and continuing medical education workshops. CHAMP core group members have already presented and taught CHAMP components in many venues (see Dissemination on the CHAMP Web site). The excitement generated by CHAMP at national and specialty meetings, including multiple requests for materials, speaks to widespread interest in our CHAMP model. We are pursuing the creation of a mini‐CHAMP, an abbreviated FDP with an online component. These activities as well as feedback from users of CHAMP materials from the CHAMP Web site and the Portal of Geriatric Online Education will provide important opportunities for examining the use and acceptance of CHAMP outside our institution.
Another limitation of the CHAMP FDP is reliance on FDP Scholar self‐assessment in several of the evaluation components. Some studies have shown poor concordance between physicians' self‐assessment and external assessment over a range of domains.48 However, others have noted that despite these limitations, self‐assessment remains an essential tool for enabling physicians to discover the motivational discomfort of a performance gap, which may lead to changing concepts and mental models or changing work‐flow processes.49 Teaching on Today's Wards sessions in CHAMP emphasize self‐audit processes (such as process mapping and census audits) that can augment self‐assessment. We used such self‐audit processes in 1 small pilot study to date, providing summative and qualitative feedback to a group of FDP Scholars on their use of census audits.
However, the evaluation of the CHAMP FDP is enhanced by a yearly survey of all medical residents and medical students and by the linking of the teaching reported by residents and medical students to specific attendings. We have begun the analysis of resident perceptions of being taught CHAMP geriatrics topics by CHAMP faculty versus non‐CHAMP faculty. In addition, we are gathering data on patient‐level process of care and outcomes tied to the CHAMP FDP course session objectives by linking to the ongoing University of Chicago Hospitalist Project, a large clinical research project that enrolls general medicine inpatients in a study examining the quality of care and resource allocation for these patients.50 Because the ultimate goal of CHAMP is to improve the quality of care and outcomes for elderly hospitalized patients, the University of Chicago Hospitalist Project infrastructure was modified by the incorporation of the Vulnerable Elder Survey‐1351 and a process‐of‐care chart audit specifically based on the Assessing Care of the Vulnerable Elders Hospital Quality Indicators.52 Preliminary work included testing and validating these measures.53 Further evaluation of these clinical outcomes and CHAMP's efficacy and durability at the University of Chicago is ongoing and will be presented in future reports.
CONCLUSIONS
Through a collaboration of geriatricians, hospitalists, and general internists, the CHAMP FDP provides educational materials and methods keyed to bedside teaching in the fast‐paced world of the hospital. CHAMP improves faculty knowledge and attitudes and the frequency of teaching geriatrics topics and skills necessary to deliver quality care to the elderly hospitalized medical patient. Although the CHAMP FDP was developed and refined for use at a specific institution, the multitiered CHAMP FDP materials and methods have the potential for widespread use by multiple types of inpatient attendings for teaching the care of the older hospitalized medicine patient. Hospitalists in particular will require this expertise as both clinicians and teachers as their role, leadership, and influence continue to expand nationally.
Acknowledgements
The Curriculum for the Hospitalized Aging Medical Patient (CHAMP) Program was supported by funding from the Donald W. Reynolds Foundation with matching funds from the University of Chicago Department of Medicine, by the Hartford Foundation Geriatrics Center for Excellence, and by a Geriatric Academic Career Award to Don Scott. Presentations on CHAMP and its materials include a number of national and international meeting venues, including meetings of the Society of Hospital Medicine, the American Geriatrics Society, and the Association of Program Directors in Internal Medicine and the International Ottawa Conference.
APPENDIX
EXAMPLE OF A CHAMP POCKET CARD: FOLEY CATHETERS
| CHAMP: Foley Catheters | CHAMP: Inability to Void | |
|---|---|---|
| ||
| Catherine DuBeau, MD, Geriatrics, University of Chicago | Catherine DuBeau, MD, Geriatrics, University of Chicago | |
| 1. Does this patient have a catheter? Incorporate regular catheter checks on rounds as a practice‐based learning and improvement exercise. | 1. Is there a medical reason for this patient's inability to void? | |
| Two Basic Reasons | ||
| 2. Does this patient need a catheter? | Poor pump | |
| Only Four Indications | ▪ Meds: anticholinergics, Ca++ blockers, narcotics | |
| a. Inability to void | ▪ Sacral cord disease | |
| b. Urinary incontinence and | ▪ Neuropathy: DM, B12 | |
| ▪ Open sacral or perineal wound | ▪ Constipation/emmpaction | |
| ▪ Palliative care | Blocked outlet | |
| c. Urine output monitoring | ▪ Prostate disease | |
| ▪ Critical illnessfrequent/urgent monitoring needed | ▪ Suprasacral spinal cord disease (eg, MS) with detrusor‐sphincter dyssynergia | |
| ▪ Patient unable/unwilling to collect urine | ▪ Women: scarring, large cystocele | |
| d. After general or spinal anesthesia | ▪ Constipation/emmpaction | |
| 3. Why should catheter use be minimized? | Evaluation of Inability To Void | |
| a. Infection risk | ||
| ▪ Cause of 40% of nosocomial infections | Action Step | Possible Medical Reasons |
| b. Morbidity | ||
| ▪ Internal catheters | ||
| ○Associated with delirium | Review meds | ‐Cholinergics, narcotics, calcium channel blockers, ‐agonists |
| ○Urethral and meatal injury | ||
| ○Bladder and renal stones | ||
| ○Fever | Review med Hx | Diabetes with neuropathy, sacral/subsacral cord, B12, GU surgery or radiation |
| ○Polymicrobial bacteruria | ||
| ▪ External (condom) catheters | ||
| ○Penile cellulitus/necrosis | Physical exam | Womenpelvic for prolapse; all‐sacral root S2‐4anal wink and bulbocavernosus reflexes |
| ○Urinary retention | ||
| ○Bacteruria and infection | ||
| c. Foleys are uncomfortable/painful. | Postvoiding residual | This should have been done in the evaluation of the patient's inability to void and repeated after catheter removal with voiding trial. |
| d. Foleys are restrictive falls and delirium. | ||
| e. Cost | ||
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- ,,,.Does the structure of questions affect the outcome of curbside consultations with specialty colleagues?Arch Fam Med.2000;9:541–547.
- ,,.Enhancing medical student consultation request skills in an academic emergency department.J Emerg Med.1998;16:659–662.
- ,,,.Using an objective structured teaching evaluation for faculty development.Med Educ.2005;39:1160–1161.
- ,.Using standardised students in faculty development workshops to improve clinical teaching skills.Med Educ.2003;37:621.
- ,,,,,.Reliability and validity of an objective structured teaching examination for generalist resident teachers.Acad Med.2002;77:S29.
- ,,,.A five‐step “microskills” model of clinical teaching.J Am Board Fam Pract.1992;5:419–424.
- ,.Commitment to change: theoretical foundations, methods, and outcomes.J Cont Educ Health Prof.1999;19:200–207.
- .Commitment to change: a strategy for promoting educational effectiveness.J Cont Educ Health Prof.2000;20:156–163.
- .Evaluation of training. In:Craig R,Bittel I, eds.Training and Development Handbook.New York, NY:McGraw‐Hill;1967.
- ,,, et al.Development and evaluation of a geriatrics knowledge test for primary care residents.J Gen Intern Med.1997;12:450–452.
- ,.UNIPAC Three: Assessment and Treatment of Pain in the Terminally Ill.2nd ed.Glenview, IL:American Academy of Hospice and Palliative Care;2003.
- ,,, et al.Development and validation of a geriatric knowledge test for medical students.J Am Geriatr Soc.2004;52:983–988.
- ,,, et al.Development and validation of a geriatrics attitudes scale for primary care residents.J Am Geriatr Soc.1998;46:1425–1430.
- ,,,.No magic bullets: a systematic review of 102 trials of interventions to improve professional practice.Can Med Assoc J.1995;153:1423–1431.
- ,,,,.Faculty development in geriatrics for clinician educators: a unique model for skills acquisition and academic achievement.J Am Geriatr Soc.2005;53:516–521.
- ,,, et al.Accuracy of physician self‐assessment compared with observed measures of competence: a systematic review.JAMA.2006;296:1094–1102.
- ,.Self‐assessment in lifelong learning and improving performance in practice: physician know thyself.JAMA.2006;296:1137–1139.
- ,,, et al.Effects of physician experience on costs and outcomes on an academic general medicine service: results of a trial of hospitalists.Ann Intern Med.2002;137:866–874.
- ,,, et al.The vulnerable elders survey: a tool for identifying vulnerable older people in the community.J Am Geriatr Soc.2001;49:1691–1699.
- ,, and the ACOVE Investigators.Assessing care of vulnerable elders: ACOVE project overview.Ann Intern Med.2001;135:642–646.
- ,,, et al.Using assessing care of vulnerable elders quality indicators to measure quality of hospital care for vulnerable elders.J Am Geriatr Soc.2007;55:1705–1711.
- ,.2002 National Hospital Discharge Survey.Hyattsville, MD:National Center for Health Statistics;2002.Advance Data from Vital and Health Statistics 342.
- ,,, et al.The critical shortage of geriatrics faculty.J Am Geriatr Soc.1993;41:560–569.
- ,,, et al.Development of geriatrics‐oriented faculty in general internal medicine.Ann Intern Med.2003;139:615–620.
- ,,.General internal medicine and geriatrics: building a foundation to improve the training of general internists in the care of older adults.Ann Intern Med.2003;139:609–614.
- ,.Curriculum recommendations for resident training in nursing home care. A collaborative effort of the Society of General Internal Medicine Task Force on Geriatric Medicine, the Society of Teachers of Family Medicine Geriatrics Task Force, the American Medical Directors Association, and the American Geriatrics Society Education Committee.J Am Geriatr Soc.1994;42:1200–1201.
- ,,,,.Curriculum recommendations for resident training in geriatrics interdisciplinary team care.J Am Geriatr Soc.1999;47:1145–1148.
- ,,,,.A national survey on the current status of family practice residency education in geriatric medicine.Fam Med.2003;35:35–41.
- ,.ACGME requirements for geriatrics medicine curricula in medical specialties: progress made and progress needed.Acad Med.2005;80:279–285.
- ,,, et al.Improving geriatrics training in internal medicine residency programs: best practices and sustainable solutions.Ann Intern Med.2003;139:628–634.
- ,,,,.Core competencies in hospital medicine.J Hosp Med.2006;1(suppl 1):48–56.
- ,,,.A medical unit for the acute care of the elderly.J Am Geriatr Soc.1994;42:545–552.
- ,,, et al.Dissemination and characteristics of acute care of elders (ACE) units in the United States.Int J Technol Assess Health Care.2003;19:220–227.
- ,,,.Changing physician performance: a systematic review of the effect of continuing medical education strategies.J Am Med Assoc.1995;274:700–750.
- Accreditation Council for Graduate Medical Education. Outcome project: general competencies. Available at: http://www.acgme.org/outcome/comp/compfull.asp. Accessed October2005.
- ,,, et al.The Stanford faculty development program for medical teachers: a dissemination approach to faculty development for medical teachers.Teach Learn Med.1992;4:180–187.
- ,,.How do you get to teaching improvement? A longitudinal faculty development program for medical educators.Teach Learn Med.1998;11:52–57.
- .Curriculum Development for Medical Education: A Six‐Step Approach.Baltimore, MD:Johns Hopkins University Press;1998.
- .Acute hospital care. In:Cassel C,Cohen HJ,Larson EB, et al., eds.Geriatric Medicine,4th ed.New York:Springer‐Verlag;2003.
- ,,, et al.A multicomponent intervention to prevent delirium in hospitalized older patients.N Engl J Med.1999;340:669–676.
- ,,, et al.Importance of functional measures in predicting mortality among older hospitalized patients.JAMA.1998;279:1187–1193.
- ,,, et al.Cognitive screening predicts magnitude of functional recovery from admission to 3 months after discharge in hospitalized elders.J Gerontol Med Sci.2003;58:37–45.
- ,,, et al.Comprehensive discharge planning and home follow‐up of hospitalized elders: a randomized controlled trial.JAMA.1999;17:613–620.
- ,,, et al.A randomized trial of care in a hospital medical unit especially designed to improve the functional outcomes of acutely ill older patients.N Engl J Med.1995;332:1338–1344.
- ,,, et al.A controlled trial of inpatient and outpatient geriatric evaluation and management.N Engl J Med.2002;346:905–912.
- ,,, et al.Effects of a multicomponent intervention on functional outcomes and process of care in hospitalized older patients: a randomized controlled trial of acute care for the elders (ACE) in a community hospital.J Am Geriatr Soc.2000;48:1572–1581.
- The Joint Commission. Available at http://www.jcinc.com. Accessed April2008.
- ,,, et al.A learner's needs assessment in geriatric medicine for hospitalists. Paper to be presented at: American Geriatrics Society Annual Meeting; May2004; Las Vegas, NV.
- ,,, et al.Clarifying confusion: the confusion assessment method. A new method for detecting delirium.Ann Intern Med1990;113:941–948.
- ,.Meeting the JCAHO national patient safety goal: a model for building a standardized hand‐off protocol.Jt Comm J Qual Saf.2006;32:645–655.
- ,.Safety by design: understanding the dynamic complexity of redesigning care around the clinical microsystem.Qual Saf Health Care.2006;15(suppl 1):i10–i16.
- ,.The PDSA cycle at the core of learning in health professions education.Jt Comm J Qual Improv.1996;22:206–212.
- ,,.A case‐based approach to teaching practice‐based learning and improvement on the wards.Semin Med Pract.2005;8:64–74.
- ,,,.Does the structure of questions affect the outcome of curbside consultations with specialty colleagues?Arch Fam Med.2000;9:541–547.
- ,,.Enhancing medical student consultation request skills in an academic emergency department.J Emerg Med.1998;16:659–662.
- ,,,.Using an objective structured teaching evaluation for faculty development.Med Educ.2005;39:1160–1161.
- ,.Using standardised students in faculty development workshops to improve clinical teaching skills.Med Educ.2003;37:621.
- ,,,,,.Reliability and validity of an objective structured teaching examination for generalist resident teachers.Acad Med.2002;77:S29.
- ,,,.A five‐step “microskills” model of clinical teaching.J Am Board Fam Pract.1992;5:419–424.
- ,.Commitment to change: theoretical foundations, methods, and outcomes.J Cont Educ Health Prof.1999;19:200–207.
- .Commitment to change: a strategy for promoting educational effectiveness.J Cont Educ Health Prof.2000;20:156–163.
- .Evaluation of training. In:Craig R,Bittel I, eds.Training and Development Handbook.New York, NY:McGraw‐Hill;1967.
- ,,, et al.Development and evaluation of a geriatrics knowledge test for primary care residents.J Gen Intern Med.1997;12:450–452.
- ,.UNIPAC Three: Assessment and Treatment of Pain in the Terminally Ill.2nd ed.Glenview, IL:American Academy of Hospice and Palliative Care;2003.
- ,,, et al.Development and validation of a geriatric knowledge test for medical students.J Am Geriatr Soc.2004;52:983–988.
- ,,, et al.Development and validation of a geriatrics attitudes scale for primary care residents.J Am Geriatr Soc.1998;46:1425–1430.
- ,,,.No magic bullets: a systematic review of 102 trials of interventions to improve professional practice.Can Med Assoc J.1995;153:1423–1431.
- ,,,,.Faculty development in geriatrics for clinician educators: a unique model for skills acquisition and academic achievement.J Am Geriatr Soc.2005;53:516–521.
- ,,, et al.Accuracy of physician self‐assessment compared with observed measures of competence: a systematic review.JAMA.2006;296:1094–1102.
- ,.Self‐assessment in lifelong learning and improving performance in practice: physician know thyself.JAMA.2006;296:1137–1139.
- ,,, et al.Effects of physician experience on costs and outcomes on an academic general medicine service: results of a trial of hospitalists.Ann Intern Med.2002;137:866–874.
- ,,, et al.The vulnerable elders survey: a tool for identifying vulnerable older people in the community.J Am Geriatr Soc.2001;49:1691–1699.
- ,, and the ACOVE Investigators.Assessing care of vulnerable elders: ACOVE project overview.Ann Intern Med.2001;135:642–646.
- ,,, et al.Using assessing care of vulnerable elders quality indicators to measure quality of hospital care for vulnerable elders.J Am Geriatr Soc.2007;55:1705–1711.
Copyright © 2008 Society of Hospital Medicine
Admitting to a Readmit Problem
Admitting to a Readmit Problem
We have a friendly disagreement within our hospitalist group. Some of our physicians believe we should track readmission rates. They believe it is a marker of quality. Others do not. What do you think?
Richard Mackiewicz, MD, New York, NY
Dr. Hospitalist responds:
Policymakers certainly are thinking about hospital readmission rates these days. Hospital readmissions sometimes can indicate poor care or poor coordination of care. Most hospitalist programs do not track readmission rates…but maybe they should.
I have a feeling payers, such as Medicare, will implement policies in the future that will force hospitals and hospitalists to closely monitor readmission rates. Why do I think that? Because, aside from poor care, unnecessary readmissions cost the system money—lots of money. What if I told you 17% of your patients are readmitted to a hospital within 30 days? Not high enough? How about 31%?
I admit my hospitalist program doesn’t track readmission rates. I have no clue what percentage of our patients get readmitted within 30 days. But MedPAC does. A recent MedPAC analysis of 2005 Medicare Provider Analysis and Review data found 6.2% of patients discharged from hospitals are readmitted within seven days. This percentage grows to 11.3% at 15 days and 17.6% at 30 days. That 17.6% translates to roughly $15 billion in Medicare spending.
Data for patients with end-stage renal disease (ESRD) are even more staggering. Hospitalized ESRD patients are readmitted within seven days at a rate of 11.2%. Within 15 days, that becomes 20.4%. Within 30 days, 31.6% of patients with ESRD are readmitted to the hospital.
Surprised at the high numbers? I was. It’s not just patients of this type. Some of my patients get readmitted for reasons that have nothing to do with previous admissions. How can we prevent that? MedPAC ran numbers with only “potentially preventable hospital readmission rates.” The readmission rates for all comers were 5.2% at seven days, 8.8% at 15 days and 13.3% at 30 days. This translated to $5, $8, and $12 billion dollars, respectively, in potentially unnecessary spending of Medicare dollars.
If unnecessary hospital readmissions are so bad, why haven’t hospitals and hospitalists placed a bigger emphasis on preventing them? There are several reasons. One is a lack of awareness of the problem, but the main reason likely is lack of financial incentive to do so.
Most hospitals receive Medicare payment regardless of readmissions. In some states, CMS contractors and quality improvement organizations aggressively have denied payment for readmissions within 30 days, but these are the exceptions, not the rules. In many parts of the country, hospitals have no financial incentive to reduce readmissions unless they can fill the unused beds with more “profitable” patients.
Under the case-based DRG payment model, Medicare actually rewards hospitals for shorter lengths of stay. Hospitals have developed systems to encourage providers to discharge patients as quickly as possible. In fact, many hospitals even look at physicians’ inpatient length of stay as a measure of performance. From the physician perspective, why not discharge the patient as quickly as medically appropriate? The hospital commends you for doing so and if the patient is readmitted, you get to bill a higher admission code rather than a lower-paying subsequent day visit code. More admission and discharge billing means more money.
So how will policymakers address the issue of unnecessary hospital readmissions? Simple. They’ll restructure the compensation model. Medicare addressed the problem of hospital-acquired infections by not paying for them. Hospitals reacted by implementing measures to minimize and prevent the development of these complications. MedPAC has suggested Medicare disclose the risk-adjusted readmission rates for all hospitals and determine benchmark readmission rates for certain conditions (e.g., heart failure, COPD exacerbations, and CABG). Hospitals would receive payment based on how close they come to these benchmarks.
Depending on the approach, Medicare could take away dollars from low performers and/or pay more to high performers. Don’t expect Medicare to limit compensation incentives to acute care hospitals. Expect policy changes to also affect post-acute care facilities, home health providers and physicians.
One thing is certain: Hospitals and payers will expect and demand hospitalists to lead the effort to reduce unnecessary readmissions. No other group of physicians is better positioned to do so. How can hospitalists minimize the risk of hospital readmission? MedPAC has several suggestions:
- Provide better, safer care during the inpatient stay;
- Attend to patients’ medication needs at discharge;
- Improve communication with patients before and after; discharge;
- Improve communication with other providers; and
- Review practice patterns.
Do these suggestions sound familiar? They should. Most of them are signs of high functioning hospitalists and hospitalist groups, and you should already be doing them routinely. TH
Reference:
- MedPAC Report to the Congress: Promoting Greater Efficiency in Medicare, June 2007.
Admitting to a Readmit Problem
We have a friendly disagreement within our hospitalist group. Some of our physicians believe we should track readmission rates. They believe it is a marker of quality. Others do not. What do you think?
Richard Mackiewicz, MD, New York, NY
Dr. Hospitalist responds:
Policymakers certainly are thinking about hospital readmission rates these days. Hospital readmissions sometimes can indicate poor care or poor coordination of care. Most hospitalist programs do not track readmission rates…but maybe they should.
I have a feeling payers, such as Medicare, will implement policies in the future that will force hospitals and hospitalists to closely monitor readmission rates. Why do I think that? Because, aside from poor care, unnecessary readmissions cost the system money—lots of money. What if I told you 17% of your patients are readmitted to a hospital within 30 days? Not high enough? How about 31%?
I admit my hospitalist program doesn’t track readmission rates. I have no clue what percentage of our patients get readmitted within 30 days. But MedPAC does. A recent MedPAC analysis of 2005 Medicare Provider Analysis and Review data found 6.2% of patients discharged from hospitals are readmitted within seven days. This percentage grows to 11.3% at 15 days and 17.6% at 30 days. That 17.6% translates to roughly $15 billion in Medicare spending.
Data for patients with end-stage renal disease (ESRD) are even more staggering. Hospitalized ESRD patients are readmitted within seven days at a rate of 11.2%. Within 15 days, that becomes 20.4%. Within 30 days, 31.6% of patients with ESRD are readmitted to the hospital.
Surprised at the high numbers? I was. It’s not just patients of this type. Some of my patients get readmitted for reasons that have nothing to do with previous admissions. How can we prevent that? MedPAC ran numbers with only “potentially preventable hospital readmission rates.” The readmission rates for all comers were 5.2% at seven days, 8.8% at 15 days and 13.3% at 30 days. This translated to $5, $8, and $12 billion dollars, respectively, in potentially unnecessary spending of Medicare dollars.
If unnecessary hospital readmissions are so bad, why haven’t hospitals and hospitalists placed a bigger emphasis on preventing them? There are several reasons. One is a lack of awareness of the problem, but the main reason likely is lack of financial incentive to do so.
Most hospitals receive Medicare payment regardless of readmissions. In some states, CMS contractors and quality improvement organizations aggressively have denied payment for readmissions within 30 days, but these are the exceptions, not the rules. In many parts of the country, hospitals have no financial incentive to reduce readmissions unless they can fill the unused beds with more “profitable” patients.
Under the case-based DRG payment model, Medicare actually rewards hospitals for shorter lengths of stay. Hospitals have developed systems to encourage providers to discharge patients as quickly as possible. In fact, many hospitals even look at physicians’ inpatient length of stay as a measure of performance. From the physician perspective, why not discharge the patient as quickly as medically appropriate? The hospital commends you for doing so and if the patient is readmitted, you get to bill a higher admission code rather than a lower-paying subsequent day visit code. More admission and discharge billing means more money.
So how will policymakers address the issue of unnecessary hospital readmissions? Simple. They’ll restructure the compensation model. Medicare addressed the problem of hospital-acquired infections by not paying for them. Hospitals reacted by implementing measures to minimize and prevent the development of these complications. MedPAC has suggested Medicare disclose the risk-adjusted readmission rates for all hospitals and determine benchmark readmission rates for certain conditions (e.g., heart failure, COPD exacerbations, and CABG). Hospitals would receive payment based on how close they come to these benchmarks.
Depending on the approach, Medicare could take away dollars from low performers and/or pay more to high performers. Don’t expect Medicare to limit compensation incentives to acute care hospitals. Expect policy changes to also affect post-acute care facilities, home health providers and physicians.
One thing is certain: Hospitals and payers will expect and demand hospitalists to lead the effort to reduce unnecessary readmissions. No other group of physicians is better positioned to do so. How can hospitalists minimize the risk of hospital readmission? MedPAC has several suggestions:
- Provide better, safer care during the inpatient stay;
- Attend to patients’ medication needs at discharge;
- Improve communication with patients before and after; discharge;
- Improve communication with other providers; and
- Review practice patterns.
Do these suggestions sound familiar? They should. Most of them are signs of high functioning hospitalists and hospitalist groups, and you should already be doing them routinely. TH
Reference:
- MedPAC Report to the Congress: Promoting Greater Efficiency in Medicare, June 2007.
Admitting to a Readmit Problem
We have a friendly disagreement within our hospitalist group. Some of our physicians believe we should track readmission rates. They believe it is a marker of quality. Others do not. What do you think?
Richard Mackiewicz, MD, New York, NY
Dr. Hospitalist responds:
Policymakers certainly are thinking about hospital readmission rates these days. Hospital readmissions sometimes can indicate poor care or poor coordination of care. Most hospitalist programs do not track readmission rates…but maybe they should.
I have a feeling payers, such as Medicare, will implement policies in the future that will force hospitals and hospitalists to closely monitor readmission rates. Why do I think that? Because, aside from poor care, unnecessary readmissions cost the system money—lots of money. What if I told you 17% of your patients are readmitted to a hospital within 30 days? Not high enough? How about 31%?
I admit my hospitalist program doesn’t track readmission rates. I have no clue what percentage of our patients get readmitted within 30 days. But MedPAC does. A recent MedPAC analysis of 2005 Medicare Provider Analysis and Review data found 6.2% of patients discharged from hospitals are readmitted within seven days. This percentage grows to 11.3% at 15 days and 17.6% at 30 days. That 17.6% translates to roughly $15 billion in Medicare spending.
Data for patients with end-stage renal disease (ESRD) are even more staggering. Hospitalized ESRD patients are readmitted within seven days at a rate of 11.2%. Within 15 days, that becomes 20.4%. Within 30 days, 31.6% of patients with ESRD are readmitted to the hospital.
Surprised at the high numbers? I was. It’s not just patients of this type. Some of my patients get readmitted for reasons that have nothing to do with previous admissions. How can we prevent that? MedPAC ran numbers with only “potentially preventable hospital readmission rates.” The readmission rates for all comers were 5.2% at seven days, 8.8% at 15 days and 13.3% at 30 days. This translated to $5, $8, and $12 billion dollars, respectively, in potentially unnecessary spending of Medicare dollars.
If unnecessary hospital readmissions are so bad, why haven’t hospitals and hospitalists placed a bigger emphasis on preventing them? There are several reasons. One is a lack of awareness of the problem, but the main reason likely is lack of financial incentive to do so.
Most hospitals receive Medicare payment regardless of readmissions. In some states, CMS contractors and quality improvement organizations aggressively have denied payment for readmissions within 30 days, but these are the exceptions, not the rules. In many parts of the country, hospitals have no financial incentive to reduce readmissions unless they can fill the unused beds with more “profitable” patients.
Under the case-based DRG payment model, Medicare actually rewards hospitals for shorter lengths of stay. Hospitals have developed systems to encourage providers to discharge patients as quickly as possible. In fact, many hospitals even look at physicians’ inpatient length of stay as a measure of performance. From the physician perspective, why not discharge the patient as quickly as medically appropriate? The hospital commends you for doing so and if the patient is readmitted, you get to bill a higher admission code rather than a lower-paying subsequent day visit code. More admission and discharge billing means more money.
So how will policymakers address the issue of unnecessary hospital readmissions? Simple. They’ll restructure the compensation model. Medicare addressed the problem of hospital-acquired infections by not paying for them. Hospitals reacted by implementing measures to minimize and prevent the development of these complications. MedPAC has suggested Medicare disclose the risk-adjusted readmission rates for all hospitals and determine benchmark readmission rates for certain conditions (e.g., heart failure, COPD exacerbations, and CABG). Hospitals would receive payment based on how close they come to these benchmarks.
Depending on the approach, Medicare could take away dollars from low performers and/or pay more to high performers. Don’t expect Medicare to limit compensation incentives to acute care hospitals. Expect policy changes to also affect post-acute care facilities, home health providers and physicians.
One thing is certain: Hospitals and payers will expect and demand hospitalists to lead the effort to reduce unnecessary readmissions. No other group of physicians is better positioned to do so. How can hospitalists minimize the risk of hospital readmission? MedPAC has several suggestions:
- Provide better, safer care during the inpatient stay;
- Attend to patients’ medication needs at discharge;
- Improve communication with patients before and after; discharge;
- Improve communication with other providers; and
- Review practice patterns.
Do these suggestions sound familiar? They should. Most of them are signs of high functioning hospitalists and hospitalist groups, and you should already be doing them routinely. TH
Reference:
- MedPAC Report to the Congress: Promoting Greater Efficiency in Medicare, June 2007.
Maximizing NPPs in Hospitalist Practices
Last month, I recommended considering new and innovative roles for the non-physician providers (NPPs) (see The Hospitalist, September 2008, p. 61.). In this column I’ll discuss the economic and patient satisfaction issues related to NPPs in hospitalist practice.
Economics of NPPs
My experience suggests many practices follow a similar line of reasoning when adding NPPs: “We have six physician hospitalist FTEs and need to expand further, yet recruiting additional MDs is difficult. Perhaps we should add one or more NPPs instead. That should work out well economically since NPPs have lower salaries. After all, it seems to work for heart surgeons and orthopedists.”
This kind of reasoning has two flaws. The practice is, in essence, deciding to add NPPs because that process may be easier than finding additional MDs. The practice should instead consider what work needs to be done and decide whether there is a genuinely valuable role for an NPP.
Secondly, just because it makes financial sense for some specialties to add NPPs doesn’t mean it does for hospitalist groups. The salary gap between orthopedists or cardiac surgeons and NPPs is huge. The salary difference between a physician hospitalist and an NPP is much more modest.
From a strictly financial analysis, which ignores the many benefits of NPPs that don’t appear on financial statements, an NPP needs to increase the efficiency of an orthopedist or cardiac surgeon by only 10% to 20%. That same NPP would need to increase the efficiency of a hospitalist by more like 50%. (I estimated the percentages to illustrate the point. You should conduct a more-detailed analysis of your own situation to determine accurate percentages.)
I’ve worked with practices that have incorporated NPPs but failed to think carefully about their optimal roles. These staff end up functioning in a mostly clerical role, doing tasks such as faxing discharge information to PCPs, retrieving records from outside facilities, or handling billing functions for the doctors. Those practices should either change the NPPs’ roles or use the money to instead hire clerical help. That would leave money for other purposes, such as creating a more aggressive physician recruiting effort or hiring MDs to moonlight.
Local Factors Govern Economics, Practice
In addition to financial considerations surrounding NPPs, keep in mind licensure. Nurse practitioners are licensed as independent practitioners. Physician assistants are not. The laws governing scope of practice for both of these professionals vary from state to state. Additionally, hospital bylaws govern the boundaries of what NPPs can do without supervision. Two hospitals in the same community might have completely different rules. It is important to understand the state and individual hospital regulations that govern NPPs where you practice.
A PA’s work will nearly always require a physician being physically present during some portion of the patient visit and co-signing chart notes and orders. Nurse practitioners, on the other hand, may be able to perform certain patient-care activities independently. In the latter case, Medicare and other payers typically reimburse at 85% of the rate customarily paid to MDs for the same service.
Patient Perception of NPPs
Patients are increasingly more accepting of NPs and PAs. This seems especially true in settings with clear distinctions between the role of NPP and MD.
For example, my wife is perfectly happy to see a nurse practitioner for routine gynecological care, such as Pap smears. She knows the obstetrician handled the delivery of our children and is available anytime she’s needed.
My neighbor was pleased with his open-heart surgery experience and spoke glowingly of the NP who made rounds daily and assisted during the surgery. He knew the MD surgeon performed most of the operation but left the perioperative care up to the NP.
Patients on a hospitalist service may not see things the same way. My neighbor understood he was hospitalized for the purpose of open-heart surgery done by the MD. He looked at the perioperative care outside of the operation as a secondary issue.
Most medical admissions managed by hospitalists don’t have such clear marquee events in patients’ eyes. So it may be less natural for patients to feel OK about how the hospitalist and NPP divide up care responsibilities. Look at it this way: As hospitalists, we have limited face time with patients, and must make good use of it to establish trust and rapport. When we add an NPP to the care team, we ask patients to develop trust and rapport with two providers instead of just one.
Imagine a patient recently discharged from a hospitalist practice. Her friend asks how it went and which doctor she saw. The patient responds, “I couldn’t figure out who was really in charge of my care. Dr. Nelson’s name was on my armband, but I rarely saw him. Instead, I saw his assistant (the NPP) most of the time.” I suspect that patient will be much less likely to report high levels of satisfaction with her care than one who just saw a hospitalist.
Though I’m concerned that it might be more difficult to keep patients happy when NPPs are part of a hospitalist practice, most practices report this hasn’t been a problem. I’m not suggesting that concern about patient satisfaction means you shouldn’t use NPPs in your hospitalist practices. However, patient satisfaction is an issue to consider when organizing your practice—and an NPP’s role in it—to provide the greatest benefit to your patients. TH
Dr. Nelson has been a practicing hospitalist since 1988 and is co-founder and past president of SHM. He is a principal in Nelson/Flores Associates, a national hospitalist practice management consulting firm. He is also part of the faculty for SHM’s “Best Practices in Managing a Hospital Medicine Program” course. This column represents his views and is not intended to reflect an official position of SHM.
Last month, I recommended considering new and innovative roles for the non-physician providers (NPPs) (see The Hospitalist, September 2008, p. 61.). In this column I’ll discuss the economic and patient satisfaction issues related to NPPs in hospitalist practice.
Economics of NPPs
My experience suggests many practices follow a similar line of reasoning when adding NPPs: “We have six physician hospitalist FTEs and need to expand further, yet recruiting additional MDs is difficult. Perhaps we should add one or more NPPs instead. That should work out well economically since NPPs have lower salaries. After all, it seems to work for heart surgeons and orthopedists.”
This kind of reasoning has two flaws. The practice is, in essence, deciding to add NPPs because that process may be easier than finding additional MDs. The practice should instead consider what work needs to be done and decide whether there is a genuinely valuable role for an NPP.
Secondly, just because it makes financial sense for some specialties to add NPPs doesn’t mean it does for hospitalist groups. The salary gap between orthopedists or cardiac surgeons and NPPs is huge. The salary difference between a physician hospitalist and an NPP is much more modest.
From a strictly financial analysis, which ignores the many benefits of NPPs that don’t appear on financial statements, an NPP needs to increase the efficiency of an orthopedist or cardiac surgeon by only 10% to 20%. That same NPP would need to increase the efficiency of a hospitalist by more like 50%. (I estimated the percentages to illustrate the point. You should conduct a more-detailed analysis of your own situation to determine accurate percentages.)
I’ve worked with practices that have incorporated NPPs but failed to think carefully about their optimal roles. These staff end up functioning in a mostly clerical role, doing tasks such as faxing discharge information to PCPs, retrieving records from outside facilities, or handling billing functions for the doctors. Those practices should either change the NPPs’ roles or use the money to instead hire clerical help. That would leave money for other purposes, such as creating a more aggressive physician recruiting effort or hiring MDs to moonlight.
Local Factors Govern Economics, Practice
In addition to financial considerations surrounding NPPs, keep in mind licensure. Nurse practitioners are licensed as independent practitioners. Physician assistants are not. The laws governing scope of practice for both of these professionals vary from state to state. Additionally, hospital bylaws govern the boundaries of what NPPs can do without supervision. Two hospitals in the same community might have completely different rules. It is important to understand the state and individual hospital regulations that govern NPPs where you practice.
A PA’s work will nearly always require a physician being physically present during some portion of the patient visit and co-signing chart notes and orders. Nurse practitioners, on the other hand, may be able to perform certain patient-care activities independently. In the latter case, Medicare and other payers typically reimburse at 85% of the rate customarily paid to MDs for the same service.
Patient Perception of NPPs
Patients are increasingly more accepting of NPs and PAs. This seems especially true in settings with clear distinctions between the role of NPP and MD.
For example, my wife is perfectly happy to see a nurse practitioner for routine gynecological care, such as Pap smears. She knows the obstetrician handled the delivery of our children and is available anytime she’s needed.
My neighbor was pleased with his open-heart surgery experience and spoke glowingly of the NP who made rounds daily and assisted during the surgery. He knew the MD surgeon performed most of the operation but left the perioperative care up to the NP.
Patients on a hospitalist service may not see things the same way. My neighbor understood he was hospitalized for the purpose of open-heart surgery done by the MD. He looked at the perioperative care outside of the operation as a secondary issue.
Most medical admissions managed by hospitalists don’t have such clear marquee events in patients’ eyes. So it may be less natural for patients to feel OK about how the hospitalist and NPP divide up care responsibilities. Look at it this way: As hospitalists, we have limited face time with patients, and must make good use of it to establish trust and rapport. When we add an NPP to the care team, we ask patients to develop trust and rapport with two providers instead of just one.
Imagine a patient recently discharged from a hospitalist practice. Her friend asks how it went and which doctor she saw. The patient responds, “I couldn’t figure out who was really in charge of my care. Dr. Nelson’s name was on my armband, but I rarely saw him. Instead, I saw his assistant (the NPP) most of the time.” I suspect that patient will be much less likely to report high levels of satisfaction with her care than one who just saw a hospitalist.
Though I’m concerned that it might be more difficult to keep patients happy when NPPs are part of a hospitalist practice, most practices report this hasn’t been a problem. I’m not suggesting that concern about patient satisfaction means you shouldn’t use NPPs in your hospitalist practices. However, patient satisfaction is an issue to consider when organizing your practice—and an NPP’s role in it—to provide the greatest benefit to your patients. TH
Dr. Nelson has been a practicing hospitalist since 1988 and is co-founder and past president of SHM. He is a principal in Nelson/Flores Associates, a national hospitalist practice management consulting firm. He is also part of the faculty for SHM’s “Best Practices in Managing a Hospital Medicine Program” course. This column represents his views and is not intended to reflect an official position of SHM.
Last month, I recommended considering new and innovative roles for the non-physician providers (NPPs) (see The Hospitalist, September 2008, p. 61.). In this column I’ll discuss the economic and patient satisfaction issues related to NPPs in hospitalist practice.
Economics of NPPs
My experience suggests many practices follow a similar line of reasoning when adding NPPs: “We have six physician hospitalist FTEs and need to expand further, yet recruiting additional MDs is difficult. Perhaps we should add one or more NPPs instead. That should work out well economically since NPPs have lower salaries. After all, it seems to work for heart surgeons and orthopedists.”
This kind of reasoning has two flaws. The practice is, in essence, deciding to add NPPs because that process may be easier than finding additional MDs. The practice should instead consider what work needs to be done and decide whether there is a genuinely valuable role for an NPP.
Secondly, just because it makes financial sense for some specialties to add NPPs doesn’t mean it does for hospitalist groups. The salary gap between orthopedists or cardiac surgeons and NPPs is huge. The salary difference between a physician hospitalist and an NPP is much more modest.
From a strictly financial analysis, which ignores the many benefits of NPPs that don’t appear on financial statements, an NPP needs to increase the efficiency of an orthopedist or cardiac surgeon by only 10% to 20%. That same NPP would need to increase the efficiency of a hospitalist by more like 50%. (I estimated the percentages to illustrate the point. You should conduct a more-detailed analysis of your own situation to determine accurate percentages.)
I’ve worked with practices that have incorporated NPPs but failed to think carefully about their optimal roles. These staff end up functioning in a mostly clerical role, doing tasks such as faxing discharge information to PCPs, retrieving records from outside facilities, or handling billing functions for the doctors. Those practices should either change the NPPs’ roles or use the money to instead hire clerical help. That would leave money for other purposes, such as creating a more aggressive physician recruiting effort or hiring MDs to moonlight.
Local Factors Govern Economics, Practice
In addition to financial considerations surrounding NPPs, keep in mind licensure. Nurse practitioners are licensed as independent practitioners. Physician assistants are not. The laws governing scope of practice for both of these professionals vary from state to state. Additionally, hospital bylaws govern the boundaries of what NPPs can do without supervision. Two hospitals in the same community might have completely different rules. It is important to understand the state and individual hospital regulations that govern NPPs where you practice.
A PA’s work will nearly always require a physician being physically present during some portion of the patient visit and co-signing chart notes and orders. Nurse practitioners, on the other hand, may be able to perform certain patient-care activities independently. In the latter case, Medicare and other payers typically reimburse at 85% of the rate customarily paid to MDs for the same service.
Patient Perception of NPPs
Patients are increasingly more accepting of NPs and PAs. This seems especially true in settings with clear distinctions between the role of NPP and MD.
For example, my wife is perfectly happy to see a nurse practitioner for routine gynecological care, such as Pap smears. She knows the obstetrician handled the delivery of our children and is available anytime she’s needed.
My neighbor was pleased with his open-heart surgery experience and spoke glowingly of the NP who made rounds daily and assisted during the surgery. He knew the MD surgeon performed most of the operation but left the perioperative care up to the NP.
Patients on a hospitalist service may not see things the same way. My neighbor understood he was hospitalized for the purpose of open-heart surgery done by the MD. He looked at the perioperative care outside of the operation as a secondary issue.
Most medical admissions managed by hospitalists don’t have such clear marquee events in patients’ eyes. So it may be less natural for patients to feel OK about how the hospitalist and NPP divide up care responsibilities. Look at it this way: As hospitalists, we have limited face time with patients, and must make good use of it to establish trust and rapport. When we add an NPP to the care team, we ask patients to develop trust and rapport with two providers instead of just one.
Imagine a patient recently discharged from a hospitalist practice. Her friend asks how it went and which doctor she saw. The patient responds, “I couldn’t figure out who was really in charge of my care. Dr. Nelson’s name was on my armband, but I rarely saw him. Instead, I saw his assistant (the NPP) most of the time.” I suspect that patient will be much less likely to report high levels of satisfaction with her care than one who just saw a hospitalist.
Though I’m concerned that it might be more difficult to keep patients happy when NPPs are part of a hospitalist practice, most practices report this hasn’t been a problem. I’m not suggesting that concern about patient satisfaction means you shouldn’t use NPPs in your hospitalist practices. However, patient satisfaction is an issue to consider when organizing your practice—and an NPP’s role in it—to provide the greatest benefit to your patients. TH
Dr. Nelson has been a practicing hospitalist since 1988 and is co-founder and past president of SHM. He is a principal in Nelson/Flores Associates, a national hospitalist practice management consulting firm. He is also part of the faculty for SHM’s “Best Practices in Managing a Hospital Medicine Program” course. This column represents his views and is not intended to reflect an official position of SHM.
Something Interesting Happened
How did I get myself into this and, more importantly, how could I get out of it?
I could act like I had inadvertently shown up at the wrong room, “so sorry to barge in, I’ll be on my way now.” Or, I could fake an important page that would require me to attend to an “emergency.” Or, I could just tell the group, “look, as much as I’d love to meet with you all for two straight days, I really have more important things to do with my time.”
Problem was I had been part of the decision to call this meeting in the first place. What was I thinking?
For years I’ve sat on a capacity management committee that met frequently and tackled various projects, such as reducing length of stay, discharging patients earlier in the day, and improving the discharge process—all of which fell under the rubric of efficiently moving patients through the system so we could create space for more patients. This not only makes good business, sense but also is good for our patients who benefit from getting out of the hospital earlier and back to the recuperative comfort of their homes.
The committee had met for hours on end, discussing new methods to tackle old problems. What if…we developed a follow-up clinic that could see patients back shortly after discharge, had a discharge nurse whose only responsibility was to discharge patients, had a lounge that could hold discharged patients waiting for a ride, and so on.
Hour after hour, meeting after meeting, we searched for the elusive Rosetta stone that would unlock the mystery of the timely discharge. We often implemented a large intervention, then met again only to find that our glorious idea came up short. We’d scratch our heads, find someone to pin the blame on for these shortcomings and move on to the next doomed project. Ideas were waning, patience was frayed and morale was at an all-time low.
At our wits end we decided to get thinner, reduce waste, make cars.
Ok, not literally make cars but to use the methodology of the Toyota Production System (TPS) to remove waste, to get lean. Sounded like a good idea until I settled into my hardback chair for the meeting that first morning. I quickly was filled with the ominous dread that only results from mixing consultants, a trough full of meeting-issue scrambled eggs congealing over a Sterno flame, and a roomful of sleepy-eyed participants. Sprinkle in a two-day agenda and we had all the ingredients for a scalding caldron of tedium, bubbling over with boredom.
Then something interesting happened.
I became interested.
Our consultants initiated our journey by discussing the basis of lean Toyota production—the theory of Kaizen, or “change (Kai) for the good (Zen).” The essence of the process included multi-day continuous sessions (yikes) utilizing a cross-functional team consisting of leadership and front-line staff from all hospital disciplines—from doctors to nurses to transport to janitorial staff. It also focused on fast, continuous, experimental change.
Then something interesting happened.
We left the room.
A meeting that didn’t meet? What was this strange Japanese system? Well it turns out that another key tenet of the TPS is “gemba,” meaning “shop floor.” The idea is to spend as much time as possible observing the actual processes, out on the shop floor, not in the board room. So, rather than wallowing away in a meeting discussing what we thought the problem was, we actually went to see what the problem was.
We split into teams and were instructed to observe various parts of the discharge process. Specifically, we were charged with differentiating between processes that add value—things people would pay for—and processes that did not add value—things people wouldn’t pay for.
It is estimated that up to 40% of a nurse’s day is spent “nursing” an inefficient system. Any hospitalist who has spent time holding on the phone, chasing down a CT scan report, or scouring the documentation vortex that mysteriously confiscate charts only to just as mysteriously cough them back up 20 minutes later, knows how much time is wasted in a typical day.
Then something interesting happened.
We realized broken systems, not people, were to blame for most of our problems.
After several hours of observation the teams reconvened and discussed their findings. We discovered that efficiently discharging patients earlier in the day could not be accomplished simply by imploring the physicians to write the orders earlier in the day, an intervention that had been continuously failing since I was an intern 12 years earlier.
In fact, the committee discovered there wasn’t a single unifying solution to this problem. Rather, hundreds of gremlins were dwelling within the recesses of our hospital, together gumming up the system. In just one day of observation, our teams identified 70 different contused processes causing our system to hemorrhage inefficiency.
Then something interesting happened.
It was time to go home; our first day was complete.
The second day of Kaizen centered on “tests of change” that could be implemented immediately and then studied for effect. Each group proffered ideas to solve identified problems and then began implementing these changes, taking time to alter the intervention whenever a better method was uncovered.
For example, an inability to timely locate wheelchairs was slowing the transport of discharged patients out of the hospital. This problem was resolved by designating two wheelchairs for this activity alone; a lack of communication with the patient, family and nursing about the timing of discharge was addressed by placing a whiteboard in the room that physicians would use to catalogue the benchmarks for discharge as well as an anticipated discharge date and time; delays in social work planning were tackled by a five-minute “lightning round” between the doctors and the social workers at 8 a.m. every morning; redundant paperwork required to discharge a patient was consolidated.
On and on it went, every additional step exorcising another discharge gremlin.
Then something interesting happened.
We realized the key to efficiency lie not in changing one or two giant unruly processes rather in effecting multiple very small changes.
No one individual or system was to blame for delayed discharges. Years of patches, work-arounds and waste had accumulated in our system like the layers of paint covering the grime on the walls of an old house. We would need to slowly—but surely—chip away at these layers if we were going to achieve our goals. None of us were convinced these immediate changes would solve our problem, but for the first time we felt empowered to make the kind of changes that would lead us to real systems improvement.
Then something interesting happened.
The second day ended. We’d made a ton of progress and I didn’t even need to invoke that fake emergency page. TH
Dr. Glasheen is associate professor of medicine at the University of Colorado Denver, where he serves as director of the hospital mdicine program and the hospitalist Training program, and as associate program director of the Internal Medicine Residency Program.
How did I get myself into this and, more importantly, how could I get out of it?
I could act like I had inadvertently shown up at the wrong room, “so sorry to barge in, I’ll be on my way now.” Or, I could fake an important page that would require me to attend to an “emergency.” Or, I could just tell the group, “look, as much as I’d love to meet with you all for two straight days, I really have more important things to do with my time.”
Problem was I had been part of the decision to call this meeting in the first place. What was I thinking?
For years I’ve sat on a capacity management committee that met frequently and tackled various projects, such as reducing length of stay, discharging patients earlier in the day, and improving the discharge process—all of which fell under the rubric of efficiently moving patients through the system so we could create space for more patients. This not only makes good business, sense but also is good for our patients who benefit from getting out of the hospital earlier and back to the recuperative comfort of their homes.
The committee had met for hours on end, discussing new methods to tackle old problems. What if…we developed a follow-up clinic that could see patients back shortly after discharge, had a discharge nurse whose only responsibility was to discharge patients, had a lounge that could hold discharged patients waiting for a ride, and so on.
Hour after hour, meeting after meeting, we searched for the elusive Rosetta stone that would unlock the mystery of the timely discharge. We often implemented a large intervention, then met again only to find that our glorious idea came up short. We’d scratch our heads, find someone to pin the blame on for these shortcomings and move on to the next doomed project. Ideas were waning, patience was frayed and morale was at an all-time low.
At our wits end we decided to get thinner, reduce waste, make cars.
Ok, not literally make cars but to use the methodology of the Toyota Production System (TPS) to remove waste, to get lean. Sounded like a good idea until I settled into my hardback chair for the meeting that first morning. I quickly was filled with the ominous dread that only results from mixing consultants, a trough full of meeting-issue scrambled eggs congealing over a Sterno flame, and a roomful of sleepy-eyed participants. Sprinkle in a two-day agenda and we had all the ingredients for a scalding caldron of tedium, bubbling over with boredom.
Then something interesting happened.
I became interested.
Our consultants initiated our journey by discussing the basis of lean Toyota production—the theory of Kaizen, or “change (Kai) for the good (Zen).” The essence of the process included multi-day continuous sessions (yikes) utilizing a cross-functional team consisting of leadership and front-line staff from all hospital disciplines—from doctors to nurses to transport to janitorial staff. It also focused on fast, continuous, experimental change.
Then something interesting happened.
We left the room.
A meeting that didn’t meet? What was this strange Japanese system? Well it turns out that another key tenet of the TPS is “gemba,” meaning “shop floor.” The idea is to spend as much time as possible observing the actual processes, out on the shop floor, not in the board room. So, rather than wallowing away in a meeting discussing what we thought the problem was, we actually went to see what the problem was.
We split into teams and were instructed to observe various parts of the discharge process. Specifically, we were charged with differentiating between processes that add value—things people would pay for—and processes that did not add value—things people wouldn’t pay for.
It is estimated that up to 40% of a nurse’s day is spent “nursing” an inefficient system. Any hospitalist who has spent time holding on the phone, chasing down a CT scan report, or scouring the documentation vortex that mysteriously confiscate charts only to just as mysteriously cough them back up 20 minutes later, knows how much time is wasted in a typical day.
Then something interesting happened.
We realized broken systems, not people, were to blame for most of our problems.
After several hours of observation the teams reconvened and discussed their findings. We discovered that efficiently discharging patients earlier in the day could not be accomplished simply by imploring the physicians to write the orders earlier in the day, an intervention that had been continuously failing since I was an intern 12 years earlier.
In fact, the committee discovered there wasn’t a single unifying solution to this problem. Rather, hundreds of gremlins were dwelling within the recesses of our hospital, together gumming up the system. In just one day of observation, our teams identified 70 different contused processes causing our system to hemorrhage inefficiency.
Then something interesting happened.
It was time to go home; our first day was complete.
The second day of Kaizen centered on “tests of change” that could be implemented immediately and then studied for effect. Each group proffered ideas to solve identified problems and then began implementing these changes, taking time to alter the intervention whenever a better method was uncovered.
For example, an inability to timely locate wheelchairs was slowing the transport of discharged patients out of the hospital. This problem was resolved by designating two wheelchairs for this activity alone; a lack of communication with the patient, family and nursing about the timing of discharge was addressed by placing a whiteboard in the room that physicians would use to catalogue the benchmarks for discharge as well as an anticipated discharge date and time; delays in social work planning were tackled by a five-minute “lightning round” between the doctors and the social workers at 8 a.m. every morning; redundant paperwork required to discharge a patient was consolidated.
On and on it went, every additional step exorcising another discharge gremlin.
Then something interesting happened.
We realized the key to efficiency lie not in changing one or two giant unruly processes rather in effecting multiple very small changes.
No one individual or system was to blame for delayed discharges. Years of patches, work-arounds and waste had accumulated in our system like the layers of paint covering the grime on the walls of an old house. We would need to slowly—but surely—chip away at these layers if we were going to achieve our goals. None of us were convinced these immediate changes would solve our problem, but for the first time we felt empowered to make the kind of changes that would lead us to real systems improvement.
Then something interesting happened.
The second day ended. We’d made a ton of progress and I didn’t even need to invoke that fake emergency page. TH
Dr. Glasheen is associate professor of medicine at the University of Colorado Denver, where he serves as director of the hospital mdicine program and the hospitalist Training program, and as associate program director of the Internal Medicine Residency Program.
How did I get myself into this and, more importantly, how could I get out of it?
I could act like I had inadvertently shown up at the wrong room, “so sorry to barge in, I’ll be on my way now.” Or, I could fake an important page that would require me to attend to an “emergency.” Or, I could just tell the group, “look, as much as I’d love to meet with you all for two straight days, I really have more important things to do with my time.”
Problem was I had been part of the decision to call this meeting in the first place. What was I thinking?
For years I’ve sat on a capacity management committee that met frequently and tackled various projects, such as reducing length of stay, discharging patients earlier in the day, and improving the discharge process—all of which fell under the rubric of efficiently moving patients through the system so we could create space for more patients. This not only makes good business, sense but also is good for our patients who benefit from getting out of the hospital earlier and back to the recuperative comfort of their homes.
The committee had met for hours on end, discussing new methods to tackle old problems. What if…we developed a follow-up clinic that could see patients back shortly after discharge, had a discharge nurse whose only responsibility was to discharge patients, had a lounge that could hold discharged patients waiting for a ride, and so on.
Hour after hour, meeting after meeting, we searched for the elusive Rosetta stone that would unlock the mystery of the timely discharge. We often implemented a large intervention, then met again only to find that our glorious idea came up short. We’d scratch our heads, find someone to pin the blame on for these shortcomings and move on to the next doomed project. Ideas were waning, patience was frayed and morale was at an all-time low.
At our wits end we decided to get thinner, reduce waste, make cars.
Ok, not literally make cars but to use the methodology of the Toyota Production System (TPS) to remove waste, to get lean. Sounded like a good idea until I settled into my hardback chair for the meeting that first morning. I quickly was filled with the ominous dread that only results from mixing consultants, a trough full of meeting-issue scrambled eggs congealing over a Sterno flame, and a roomful of sleepy-eyed participants. Sprinkle in a two-day agenda and we had all the ingredients for a scalding caldron of tedium, bubbling over with boredom.
Then something interesting happened.
I became interested.
Our consultants initiated our journey by discussing the basis of lean Toyota production—the theory of Kaizen, or “change (Kai) for the good (Zen).” The essence of the process included multi-day continuous sessions (yikes) utilizing a cross-functional team consisting of leadership and front-line staff from all hospital disciplines—from doctors to nurses to transport to janitorial staff. It also focused on fast, continuous, experimental change.
Then something interesting happened.
We left the room.
A meeting that didn’t meet? What was this strange Japanese system? Well it turns out that another key tenet of the TPS is “gemba,” meaning “shop floor.” The idea is to spend as much time as possible observing the actual processes, out on the shop floor, not in the board room. So, rather than wallowing away in a meeting discussing what we thought the problem was, we actually went to see what the problem was.
We split into teams and were instructed to observe various parts of the discharge process. Specifically, we were charged with differentiating between processes that add value—things people would pay for—and processes that did not add value—things people wouldn’t pay for.
It is estimated that up to 40% of a nurse’s day is spent “nursing” an inefficient system. Any hospitalist who has spent time holding on the phone, chasing down a CT scan report, or scouring the documentation vortex that mysteriously confiscate charts only to just as mysteriously cough them back up 20 minutes later, knows how much time is wasted in a typical day.
Then something interesting happened.
We realized broken systems, not people, were to blame for most of our problems.
After several hours of observation the teams reconvened and discussed their findings. We discovered that efficiently discharging patients earlier in the day could not be accomplished simply by imploring the physicians to write the orders earlier in the day, an intervention that had been continuously failing since I was an intern 12 years earlier.
In fact, the committee discovered there wasn’t a single unifying solution to this problem. Rather, hundreds of gremlins were dwelling within the recesses of our hospital, together gumming up the system. In just one day of observation, our teams identified 70 different contused processes causing our system to hemorrhage inefficiency.
Then something interesting happened.
It was time to go home; our first day was complete.
The second day of Kaizen centered on “tests of change” that could be implemented immediately and then studied for effect. Each group proffered ideas to solve identified problems and then began implementing these changes, taking time to alter the intervention whenever a better method was uncovered.
For example, an inability to timely locate wheelchairs was slowing the transport of discharged patients out of the hospital. This problem was resolved by designating two wheelchairs for this activity alone; a lack of communication with the patient, family and nursing about the timing of discharge was addressed by placing a whiteboard in the room that physicians would use to catalogue the benchmarks for discharge as well as an anticipated discharge date and time; delays in social work planning were tackled by a five-minute “lightning round” between the doctors and the social workers at 8 a.m. every morning; redundant paperwork required to discharge a patient was consolidated.
On and on it went, every additional step exorcising another discharge gremlin.
Then something interesting happened.
We realized the key to efficiency lie not in changing one or two giant unruly processes rather in effecting multiple very small changes.
No one individual or system was to blame for delayed discharges. Years of patches, work-arounds and waste had accumulated in our system like the layers of paint covering the grime on the walls of an old house. We would need to slowly—but surely—chip away at these layers if we were going to achieve our goals. None of us were convinced these immediate changes would solve our problem, but for the first time we felt empowered to make the kind of changes that would lead us to real systems improvement.
Then something interesting happened.
The second day ended. We’d made a ton of progress and I didn’t even need to invoke that fake emergency page. TH
Dr. Glasheen is associate professor of medicine at the University of Colorado Denver, where he serves as director of the hospital mdicine program and the hospitalist Training program, and as associate program director of the Internal Medicine Residency Program.
A Gift Giving Guide for Hospitalists
As the holiday season fast approaches, our minds increasingly turn to gift giving. This season, I have given extensive thought to the needs of hospitalists, so if you are looking for that perfect gift, look no further.
I know that many of you have gift advice as well, so don’t hesitate to e-mail me your ideas. I will include those in a future column.
Without further delay, here are the Top 10 Gift Ideas for Hospitalists:
1. Improved Vital Sign Alert System: Nothing bothers a hospitalist more than a false alarm or, worse, no alert at all. Hospitalists need better knowledge of vital sign changes, particularly one that takes into effect rate of change.
2. Accurate respiratory rate: This is for the hospitalist who is particularly perturbed about the fact that 90 percent of one’s patients have a respiratory rate of 18. If you haven’t seen the new technology by Hoana Medical, check it out. If this technology pans out, my wish list would be for every hospitalist patient to be monitored and the respiratory rate tied into a sophisticated alert system.
3. An army of physical therapists: This will be hard to gift wrap, but given the fact that deconditioning sets in so fast in hospitalized patients, particularly in elderly patients, this gift is aimed at getting patients moving and preventing the deconditioning from starting.
4. Better nutrition: There is no greater cliché than hospital food. Any improvement would be appreciated. This is not only for the patients, but the physicians, as well. Too many hospitals have a plethora of fast food options, instead of a focus on wholesome choices.
5. Palliative Care: The ideal gift is fairly comprehensive, but it can be separated into several gifts over time. The first and easiest is teaching hospitalists palliative care skills. The second phase is having hospital personnel correctly identify--at admission--patients who need palliative care. The final phase, and the most elusive, is improving physician knowledge of which patients are good candidates for palliation and the correct action steps. This last gift is aimed at the hospitalist who has just admitted a severely demented bed bound patient with AIDs who is still on antiretroviral therapy but no hospice care. Or perhaps the patient with severe CHF admitted for the fifth time this month that is on the correct medications and does weigh himself daily, but also without hospice, or worse, no family understanding that he is dying.
6. More data to understand your practice: This is self explanatory, but many hospitalists are unable to obtain the clinical or financial data they need to understand their practice. Sometimes the data is present, but a better explanation of the data is necessary.
7. EMR that incorporates ALL data: If you can find this gift, please contact me immediately. I am willing to pay top dollar. The Information Technology (IT) department tells me it exists, but I have never actually put my hands on it. This is a single sign-on Electronic Medical Record that has all the clinical data that a hospitalist needs presented in an intuitive interface. And, it’s easily accessible from outside the hospital network.
8. Networked EMR: Link all those EMRs to hospitals across the country.
9. Comprehensive approach to delirium in hospitalized patients: This is for the hospitalist who has just spent the last two hours stopping all delirium provoking medications in a post-surgical elderly patient and talked at length to the family about the fact that this altered mentation is not permanent, not a stroke, and, yes, the anti-psychotic medications are the best medicine.
10. Maintenance of correct attending: This is for the hospitalist whose 15 patients all have a different attending assigned. This gift would ensure that the IT system has my name attached to all my patients at all times. Again, if you receive this gift, please contact me immediately.
In the spirit of being a tad more comprehensive, here are a few gift ideas for hospital medicine in general:
- More primary care physicians. Hospitalists know good primary care prevents hospitalization, but having a physician to refer a patient to after discharge is key.
- Hospital coverage for all U.S. citizens.
- A full understanding of hospital medicine by all hospital administrators.
- Uniform assessment of hospitals, so one can accurately grade/compare hospitals.
- Continued improvement in hospitalist leader skills.
- Continued better pay for hospitalists.
- More mid-level providers in hospital medicine.
- Continued improvement in teamwork amongst hospital personnel.
- Continued improvement in quality and patient safety.
And finally, the best gift of all…more hospitalists!
Happy Holidays! TH
Dr. Cawley is president of SHM.
As the holiday season fast approaches, our minds increasingly turn to gift giving. This season, I have given extensive thought to the needs of hospitalists, so if you are looking for that perfect gift, look no further.
I know that many of you have gift advice as well, so don’t hesitate to e-mail me your ideas. I will include those in a future column.
Without further delay, here are the Top 10 Gift Ideas for Hospitalists:
1. Improved Vital Sign Alert System: Nothing bothers a hospitalist more than a false alarm or, worse, no alert at all. Hospitalists need better knowledge of vital sign changes, particularly one that takes into effect rate of change.
2. Accurate respiratory rate: This is for the hospitalist who is particularly perturbed about the fact that 90 percent of one’s patients have a respiratory rate of 18. If you haven’t seen the new technology by Hoana Medical, check it out. If this technology pans out, my wish list would be for every hospitalist patient to be monitored and the respiratory rate tied into a sophisticated alert system.
3. An army of physical therapists: This will be hard to gift wrap, but given the fact that deconditioning sets in so fast in hospitalized patients, particularly in elderly patients, this gift is aimed at getting patients moving and preventing the deconditioning from starting.
4. Better nutrition: There is no greater cliché than hospital food. Any improvement would be appreciated. This is not only for the patients, but the physicians, as well. Too many hospitals have a plethora of fast food options, instead of a focus on wholesome choices.
5. Palliative Care: The ideal gift is fairly comprehensive, but it can be separated into several gifts over time. The first and easiest is teaching hospitalists palliative care skills. The second phase is having hospital personnel correctly identify--at admission--patients who need palliative care. The final phase, and the most elusive, is improving physician knowledge of which patients are good candidates for palliation and the correct action steps. This last gift is aimed at the hospitalist who has just admitted a severely demented bed bound patient with AIDs who is still on antiretroviral therapy but no hospice care. Or perhaps the patient with severe CHF admitted for the fifth time this month that is on the correct medications and does weigh himself daily, but also without hospice, or worse, no family understanding that he is dying.
6. More data to understand your practice: This is self explanatory, but many hospitalists are unable to obtain the clinical or financial data they need to understand their practice. Sometimes the data is present, but a better explanation of the data is necessary.
7. EMR that incorporates ALL data: If you can find this gift, please contact me immediately. I am willing to pay top dollar. The Information Technology (IT) department tells me it exists, but I have never actually put my hands on it. This is a single sign-on Electronic Medical Record that has all the clinical data that a hospitalist needs presented in an intuitive interface. And, it’s easily accessible from outside the hospital network.
8. Networked EMR: Link all those EMRs to hospitals across the country.
9. Comprehensive approach to delirium in hospitalized patients: This is for the hospitalist who has just spent the last two hours stopping all delirium provoking medications in a post-surgical elderly patient and talked at length to the family about the fact that this altered mentation is not permanent, not a stroke, and, yes, the anti-psychotic medications are the best medicine.
10. Maintenance of correct attending: This is for the hospitalist whose 15 patients all have a different attending assigned. This gift would ensure that the IT system has my name attached to all my patients at all times. Again, if you receive this gift, please contact me immediately.
In the spirit of being a tad more comprehensive, here are a few gift ideas for hospital medicine in general:
- More primary care physicians. Hospitalists know good primary care prevents hospitalization, but having a physician to refer a patient to after discharge is key.
- Hospital coverage for all U.S. citizens.
- A full understanding of hospital medicine by all hospital administrators.
- Uniform assessment of hospitals, so one can accurately grade/compare hospitals.
- Continued improvement in hospitalist leader skills.
- Continued better pay for hospitalists.
- More mid-level providers in hospital medicine.
- Continued improvement in teamwork amongst hospital personnel.
- Continued improvement in quality and patient safety.
And finally, the best gift of all…more hospitalists!
Happy Holidays! TH
Dr. Cawley is president of SHM.
As the holiday season fast approaches, our minds increasingly turn to gift giving. This season, I have given extensive thought to the needs of hospitalists, so if you are looking for that perfect gift, look no further.
I know that many of you have gift advice as well, so don’t hesitate to e-mail me your ideas. I will include those in a future column.
Without further delay, here are the Top 10 Gift Ideas for Hospitalists:
1. Improved Vital Sign Alert System: Nothing bothers a hospitalist more than a false alarm or, worse, no alert at all. Hospitalists need better knowledge of vital sign changes, particularly one that takes into effect rate of change.
2. Accurate respiratory rate: This is for the hospitalist who is particularly perturbed about the fact that 90 percent of one’s patients have a respiratory rate of 18. If you haven’t seen the new technology by Hoana Medical, check it out. If this technology pans out, my wish list would be for every hospitalist patient to be monitored and the respiratory rate tied into a sophisticated alert system.
3. An army of physical therapists: This will be hard to gift wrap, but given the fact that deconditioning sets in so fast in hospitalized patients, particularly in elderly patients, this gift is aimed at getting patients moving and preventing the deconditioning from starting.
4. Better nutrition: There is no greater cliché than hospital food. Any improvement would be appreciated. This is not only for the patients, but the physicians, as well. Too many hospitals have a plethora of fast food options, instead of a focus on wholesome choices.
5. Palliative Care: The ideal gift is fairly comprehensive, but it can be separated into several gifts over time. The first and easiest is teaching hospitalists palliative care skills. The second phase is having hospital personnel correctly identify--at admission--patients who need palliative care. The final phase, and the most elusive, is improving physician knowledge of which patients are good candidates for palliation and the correct action steps. This last gift is aimed at the hospitalist who has just admitted a severely demented bed bound patient with AIDs who is still on antiretroviral therapy but no hospice care. Or perhaps the patient with severe CHF admitted for the fifth time this month that is on the correct medications and does weigh himself daily, but also without hospice, or worse, no family understanding that he is dying.
6. More data to understand your practice: This is self explanatory, but many hospitalists are unable to obtain the clinical or financial data they need to understand their practice. Sometimes the data is present, but a better explanation of the data is necessary.
7. EMR that incorporates ALL data: If you can find this gift, please contact me immediately. I am willing to pay top dollar. The Information Technology (IT) department tells me it exists, but I have never actually put my hands on it. This is a single sign-on Electronic Medical Record that has all the clinical data that a hospitalist needs presented in an intuitive interface. And, it’s easily accessible from outside the hospital network.
8. Networked EMR: Link all those EMRs to hospitals across the country.
9. Comprehensive approach to delirium in hospitalized patients: This is for the hospitalist who has just spent the last two hours stopping all delirium provoking medications in a post-surgical elderly patient and talked at length to the family about the fact that this altered mentation is not permanent, not a stroke, and, yes, the anti-psychotic medications are the best medicine.
10. Maintenance of correct attending: This is for the hospitalist whose 15 patients all have a different attending assigned. This gift would ensure that the IT system has my name attached to all my patients at all times. Again, if you receive this gift, please contact me immediately.
In the spirit of being a tad more comprehensive, here are a few gift ideas for hospital medicine in general:
- More primary care physicians. Hospitalists know good primary care prevents hospitalization, but having a physician to refer a patient to after discharge is key.
- Hospital coverage for all U.S. citizens.
- A full understanding of hospital medicine by all hospital administrators.
- Uniform assessment of hospitals, so one can accurately grade/compare hospitals.
- Continued improvement in hospitalist leader skills.
- Continued better pay for hospitalists.
- More mid-level providers in hospital medicine.
- Continued improvement in teamwork amongst hospital personnel.
- Continued improvement in quality and patient safety.
And finally, the best gift of all…more hospitalists!
Happy Holidays! TH
Dr. Cawley is president of SHM.
Moving into the Future
The young specialty of hospital medicine has an even younger sibling—pediatric hospital medicine. “Just seven years ago, when I put on my pediatric hospitalist badge, people would ask me, ‘What is that?’” Douglas Carlson, MD, an associate professor at the Washington University School of Medicine in St. Louis, says. “They don’t do that anymore.”
Times certainly are a changing.
With an estimated 1,500 practitioners, pediatric hospitalists make up about 9% of the total hospitalist workforce in the United States. Growth in the pediatric field has been fueled by the need for expertise in treating hospitalized pediatric patients, the increasing complexity of hospitalized cases, mandates to reduce hospital costs and readmission rates, and the curtailment of resident hours.
“The biggest thing is the whole field is blossoming,” says SHM treasurer Jack Percelay, MD.
What Lies Ahead?
Pediatric hospital medicine may be young in years, but the primary focus is on the future. Such was the theme of the Pediatric Hospital Medicine Conference held by SHM, the American Academy of Pediatrics and the Academic Pediatrics Association in July in Denver.
“We are responsible for the future of hospital medicine,” keynote speaker Sanford Melzer, MD, of the University of Washington and Children’s Memorial Hospital and Regional Medical Center of Seattle says in an interview with The Hospitalist. “So what should that future look like?”
Pediatric hospitalists are in an ideal position to improve care, Dr. Melzer said. He outlined six crucial areas for action:
- Set standards of evidence-based patient care in areas not historically addressed, such as feeding tubes and severe reflux;
- Implement safety standards for issues such as medical errors, blood infections and hand-offs to other providers;
- Develop leaders who will work to bring about these changes;
- Stabilize the workforce by better defining pediatric hospital medicine as a career path;
- Create value for hospitals;
- Promote a holistic view of hospital care as a small part of the continuum of care for chronically ill children.
As Dr. Melzer succinctly puts it, “I am here to improve the whole system, not just to give kids meds and get them out.”
“I think our evolution in hospital medicine will follow that of ER physicians very closely,” says Dr. Carlson, who started out as an ER doctor. “Within 30 years, with fellowships and training, their specialty evolved.”
A similar progression is occurring with pediatric hospitalists. Carlson said he remembers when hospitalists would complain that their colleagues in other subspecialties would “treat them like glorified residents.” Not anymore. “We are now seen as equals,” he said.
Pediatric hospitalists bring a lot to the table, Dr. Carlson said, such as broad experience in treating acutely or chronically ill hospitalized children; the ability to coordinate care; knowledge in negotiating hospital routines and protocols; and the capacity to manage family fears.
But to survive and prosper, pediatric hospitalists must create value for their institutions, Dr. Melzer said. And value is exactly what evidence-based medicine can generate, he added. Establishing evidence-based guidelines for the treatment of the 10 most common conditions affecting 80% of patients would be a huge step forward in improving patient care, Melzer explained. It would create value for patients and, ultimately, the hospital.
Lending an Ear
Communication is another key, and can be particularly important in caring for children with life-threatening or terminal illnesses, said another speaker, Margaret Hood, MD, of Orlando Healthcare and Palliative Healthcare. Listening to patients and their families is a critical part of end-of-life care.
“The palliative care offered by pediatric hospitalists becomes a lifeline to patients and their families,” she explained. “Sensitive communications can foster hope, even when the news is bad.”
Dr. Hood told the poignant story of a baby born with a lethal heart problem. “I asked her parents, “What do you want?” she said. “They told me, ‘We want her heart to get better.’”
The doctor—and the family—knew that the baby would never get better. “What else would you like?” she asked. “To hold my little girl,” the mother answered. “I have only held her twice in two months.”
“We can do that.” Dr. Hood quickly replied.
Hope comes in many forms—this time in a mother’s arms, as she finally held her daughter before she died.
Frank Talk on Stress and Career Satisfaction
The 24/7 connection hospitalists have with their institutions is the basis for much of their expertise. Then again, that same 24/7 connection can be a source of extraordinary stress.
“It is variable work, with highs and lows in volume and in unscheduled care,” Dr. Carlson explained. “For hospitalized patients, we always need call coverage. That means odd hours—or being on-call in odd hours. It means night work or evening work. Stress carries risks of unplanned turnover, absenteeism, judgment and action errors, conflicts with colleagues, physical illness and mental fatigue.
“Hospitalists may be burning out even quicker than those in other specialties,” Dr. Carlson added. “Hospitalists love clinical care, they love what they do, but they are working in an environment where they must do more and more. We have to learn how to balance enthusiasm for taking care of patients with the demands of the job.”
One area of concern among hospitals and their pediatric hospitalists is workforce stability. Young women make up the majority of the workforce, and hospitals are “dealing continuously with women who are having families,” Dr. Melzer said.
“I have some people using it as a stepping stone to other specialties,” Dr. Carlson said. “They work as pediatric hospitalists while children are young, for flexibility.”
Both Carlson and Melzer believe a sharper definition of the pediatric hospital medicine career track would make a difference. “How do we get others in the hospital to make this job satisfactory?” Dr. Carlson asked. “Hospitalists enjoy the work, but want to balance it … and make a career out of this.”
Recognition from other medical colleagues is critical to job satisfaction. More and more, pediatric hospitalists are playing key leadership roles. “We are increasingly seen as the experts for hospitalized patients,” Dr. Carlson said. “I believe we can do things better than many specialists and many generalists, because we know how hospitals work—and we are there all the time.”
What’s Next?
Implementing plans for the future of pediatric hospital medicine will require collaboration among the many specialists and groups involved in the care of children. Dr. Melzer suggests convening a “leadership summit” for representatives from all of these associations.
Dr. Percelay agreed.
“It’s exciting,” he says. “The fact that the president of the American Board of Pediatrics came and spoke to our community, along with the presidents of SHM, the American Academy of Pediatrics, and the Academic Pediatric Association, is testimony to the role we are playing in the care of hospitalized children in the United States. We need to take a lot of care to make sure we maintain links between pediatric hospitalists and primary care pediatricians.”
That would be in the best interests of all children. TH
Carol Berczuk’s is a medical journalist based in New York.
The young specialty of hospital medicine has an even younger sibling—pediatric hospital medicine. “Just seven years ago, when I put on my pediatric hospitalist badge, people would ask me, ‘What is that?’” Douglas Carlson, MD, an associate professor at the Washington University School of Medicine in St. Louis, says. “They don’t do that anymore.”
Times certainly are a changing.
With an estimated 1,500 practitioners, pediatric hospitalists make up about 9% of the total hospitalist workforce in the United States. Growth in the pediatric field has been fueled by the need for expertise in treating hospitalized pediatric patients, the increasing complexity of hospitalized cases, mandates to reduce hospital costs and readmission rates, and the curtailment of resident hours.
“The biggest thing is the whole field is blossoming,” says SHM treasurer Jack Percelay, MD.
What Lies Ahead?
Pediatric hospital medicine may be young in years, but the primary focus is on the future. Such was the theme of the Pediatric Hospital Medicine Conference held by SHM, the American Academy of Pediatrics and the Academic Pediatrics Association in July in Denver.
“We are responsible for the future of hospital medicine,” keynote speaker Sanford Melzer, MD, of the University of Washington and Children’s Memorial Hospital and Regional Medical Center of Seattle says in an interview with The Hospitalist. “So what should that future look like?”
Pediatric hospitalists are in an ideal position to improve care, Dr. Melzer said. He outlined six crucial areas for action:
- Set standards of evidence-based patient care in areas not historically addressed, such as feeding tubes and severe reflux;
- Implement safety standards for issues such as medical errors, blood infections and hand-offs to other providers;
- Develop leaders who will work to bring about these changes;
- Stabilize the workforce by better defining pediatric hospital medicine as a career path;
- Create value for hospitals;
- Promote a holistic view of hospital care as a small part of the continuum of care for chronically ill children.
As Dr. Melzer succinctly puts it, “I am here to improve the whole system, not just to give kids meds and get them out.”
“I think our evolution in hospital medicine will follow that of ER physicians very closely,” says Dr. Carlson, who started out as an ER doctor. “Within 30 years, with fellowships and training, their specialty evolved.”
A similar progression is occurring with pediatric hospitalists. Carlson said he remembers when hospitalists would complain that their colleagues in other subspecialties would “treat them like glorified residents.” Not anymore. “We are now seen as equals,” he said.
Pediatric hospitalists bring a lot to the table, Dr. Carlson said, such as broad experience in treating acutely or chronically ill hospitalized children; the ability to coordinate care; knowledge in negotiating hospital routines and protocols; and the capacity to manage family fears.
But to survive and prosper, pediatric hospitalists must create value for their institutions, Dr. Melzer said. And value is exactly what evidence-based medicine can generate, he added. Establishing evidence-based guidelines for the treatment of the 10 most common conditions affecting 80% of patients would be a huge step forward in improving patient care, Melzer explained. It would create value for patients and, ultimately, the hospital.
Lending an Ear
Communication is another key, and can be particularly important in caring for children with life-threatening or terminal illnesses, said another speaker, Margaret Hood, MD, of Orlando Healthcare and Palliative Healthcare. Listening to patients and their families is a critical part of end-of-life care.
“The palliative care offered by pediatric hospitalists becomes a lifeline to patients and their families,” she explained. “Sensitive communications can foster hope, even when the news is bad.”
Dr. Hood told the poignant story of a baby born with a lethal heart problem. “I asked her parents, “What do you want?” she said. “They told me, ‘We want her heart to get better.’”
The doctor—and the family—knew that the baby would never get better. “What else would you like?” she asked. “To hold my little girl,” the mother answered. “I have only held her twice in two months.”
“We can do that.” Dr. Hood quickly replied.
Hope comes in many forms—this time in a mother’s arms, as she finally held her daughter before she died.
Frank Talk on Stress and Career Satisfaction
The 24/7 connection hospitalists have with their institutions is the basis for much of their expertise. Then again, that same 24/7 connection can be a source of extraordinary stress.
“It is variable work, with highs and lows in volume and in unscheduled care,” Dr. Carlson explained. “For hospitalized patients, we always need call coverage. That means odd hours—or being on-call in odd hours. It means night work or evening work. Stress carries risks of unplanned turnover, absenteeism, judgment and action errors, conflicts with colleagues, physical illness and mental fatigue.
“Hospitalists may be burning out even quicker than those in other specialties,” Dr. Carlson added. “Hospitalists love clinical care, they love what they do, but they are working in an environment where they must do more and more. We have to learn how to balance enthusiasm for taking care of patients with the demands of the job.”
One area of concern among hospitals and their pediatric hospitalists is workforce stability. Young women make up the majority of the workforce, and hospitals are “dealing continuously with women who are having families,” Dr. Melzer said.
“I have some people using it as a stepping stone to other specialties,” Dr. Carlson said. “They work as pediatric hospitalists while children are young, for flexibility.”
Both Carlson and Melzer believe a sharper definition of the pediatric hospital medicine career track would make a difference. “How do we get others in the hospital to make this job satisfactory?” Dr. Carlson asked. “Hospitalists enjoy the work, but want to balance it … and make a career out of this.”
Recognition from other medical colleagues is critical to job satisfaction. More and more, pediatric hospitalists are playing key leadership roles. “We are increasingly seen as the experts for hospitalized patients,” Dr. Carlson said. “I believe we can do things better than many specialists and many generalists, because we know how hospitals work—and we are there all the time.”
What’s Next?
Implementing plans for the future of pediatric hospital medicine will require collaboration among the many specialists and groups involved in the care of children. Dr. Melzer suggests convening a “leadership summit” for representatives from all of these associations.
Dr. Percelay agreed.
“It’s exciting,” he says. “The fact that the president of the American Board of Pediatrics came and spoke to our community, along with the presidents of SHM, the American Academy of Pediatrics, and the Academic Pediatric Association, is testimony to the role we are playing in the care of hospitalized children in the United States. We need to take a lot of care to make sure we maintain links between pediatric hospitalists and primary care pediatricians.”
That would be in the best interests of all children. TH
Carol Berczuk’s is a medical journalist based in New York.
The young specialty of hospital medicine has an even younger sibling—pediatric hospital medicine. “Just seven years ago, when I put on my pediatric hospitalist badge, people would ask me, ‘What is that?’” Douglas Carlson, MD, an associate professor at the Washington University School of Medicine in St. Louis, says. “They don’t do that anymore.”
Times certainly are a changing.
With an estimated 1,500 practitioners, pediatric hospitalists make up about 9% of the total hospitalist workforce in the United States. Growth in the pediatric field has been fueled by the need for expertise in treating hospitalized pediatric patients, the increasing complexity of hospitalized cases, mandates to reduce hospital costs and readmission rates, and the curtailment of resident hours.
“The biggest thing is the whole field is blossoming,” says SHM treasurer Jack Percelay, MD.
What Lies Ahead?
Pediatric hospital medicine may be young in years, but the primary focus is on the future. Such was the theme of the Pediatric Hospital Medicine Conference held by SHM, the American Academy of Pediatrics and the Academic Pediatrics Association in July in Denver.
“We are responsible for the future of hospital medicine,” keynote speaker Sanford Melzer, MD, of the University of Washington and Children’s Memorial Hospital and Regional Medical Center of Seattle says in an interview with The Hospitalist. “So what should that future look like?”
Pediatric hospitalists are in an ideal position to improve care, Dr. Melzer said. He outlined six crucial areas for action:
- Set standards of evidence-based patient care in areas not historically addressed, such as feeding tubes and severe reflux;
- Implement safety standards for issues such as medical errors, blood infections and hand-offs to other providers;
- Develop leaders who will work to bring about these changes;
- Stabilize the workforce by better defining pediatric hospital medicine as a career path;
- Create value for hospitals;
- Promote a holistic view of hospital care as a small part of the continuum of care for chronically ill children.
As Dr. Melzer succinctly puts it, “I am here to improve the whole system, not just to give kids meds and get them out.”
“I think our evolution in hospital medicine will follow that of ER physicians very closely,” says Dr. Carlson, who started out as an ER doctor. “Within 30 years, with fellowships and training, their specialty evolved.”
A similar progression is occurring with pediatric hospitalists. Carlson said he remembers when hospitalists would complain that their colleagues in other subspecialties would “treat them like glorified residents.” Not anymore. “We are now seen as equals,” he said.
Pediatric hospitalists bring a lot to the table, Dr. Carlson said, such as broad experience in treating acutely or chronically ill hospitalized children; the ability to coordinate care; knowledge in negotiating hospital routines and protocols; and the capacity to manage family fears.
But to survive and prosper, pediatric hospitalists must create value for their institutions, Dr. Melzer said. And value is exactly what evidence-based medicine can generate, he added. Establishing evidence-based guidelines for the treatment of the 10 most common conditions affecting 80% of patients would be a huge step forward in improving patient care, Melzer explained. It would create value for patients and, ultimately, the hospital.
Lending an Ear
Communication is another key, and can be particularly important in caring for children with life-threatening or terminal illnesses, said another speaker, Margaret Hood, MD, of Orlando Healthcare and Palliative Healthcare. Listening to patients and their families is a critical part of end-of-life care.
“The palliative care offered by pediatric hospitalists becomes a lifeline to patients and their families,” she explained. “Sensitive communications can foster hope, even when the news is bad.”
Dr. Hood told the poignant story of a baby born with a lethal heart problem. “I asked her parents, “What do you want?” she said. “They told me, ‘We want her heart to get better.’”
The doctor—and the family—knew that the baby would never get better. “What else would you like?” she asked. “To hold my little girl,” the mother answered. “I have only held her twice in two months.”
“We can do that.” Dr. Hood quickly replied.
Hope comes in many forms—this time in a mother’s arms, as she finally held her daughter before she died.
Frank Talk on Stress and Career Satisfaction
The 24/7 connection hospitalists have with their institutions is the basis for much of their expertise. Then again, that same 24/7 connection can be a source of extraordinary stress.
“It is variable work, with highs and lows in volume and in unscheduled care,” Dr. Carlson explained. “For hospitalized patients, we always need call coverage. That means odd hours—or being on-call in odd hours. It means night work or evening work. Stress carries risks of unplanned turnover, absenteeism, judgment and action errors, conflicts with colleagues, physical illness and mental fatigue.
“Hospitalists may be burning out even quicker than those in other specialties,” Dr. Carlson added. “Hospitalists love clinical care, they love what they do, but they are working in an environment where they must do more and more. We have to learn how to balance enthusiasm for taking care of patients with the demands of the job.”
One area of concern among hospitals and their pediatric hospitalists is workforce stability. Young women make up the majority of the workforce, and hospitals are “dealing continuously with women who are having families,” Dr. Melzer said.
“I have some people using it as a stepping stone to other specialties,” Dr. Carlson said. “They work as pediatric hospitalists while children are young, for flexibility.”
Both Carlson and Melzer believe a sharper definition of the pediatric hospital medicine career track would make a difference. “How do we get others in the hospital to make this job satisfactory?” Dr. Carlson asked. “Hospitalists enjoy the work, but want to balance it … and make a career out of this.”
Recognition from other medical colleagues is critical to job satisfaction. More and more, pediatric hospitalists are playing key leadership roles. “We are increasingly seen as the experts for hospitalized patients,” Dr. Carlson said. “I believe we can do things better than many specialists and many generalists, because we know how hospitals work—and we are there all the time.”
What’s Next?
Implementing plans for the future of pediatric hospital medicine will require collaboration among the many specialists and groups involved in the care of children. Dr. Melzer suggests convening a “leadership summit” for representatives from all of these associations.
Dr. Percelay agreed.
“It’s exciting,” he says. “The fact that the president of the American Board of Pediatrics came and spoke to our community, along with the presidents of SHM, the American Academy of Pediatrics, and the Academic Pediatric Association, is testimony to the role we are playing in the care of hospitalized children in the United States. We need to take a lot of care to make sure we maintain links between pediatric hospitalists and primary care pediatricians.”
That would be in the best interests of all children. TH
Carol Berczuk’s is a medical journalist based in New York.