Slot System
Featured Buckets
Featured Buckets Admin

Reconsidering Discharge Criteria in Children With Neurologic Impairment and Acute Respiratory Infections

Article Type
Changed
Thu, 04/22/2021 - 14:58

Children with medical complexity account for 30% of pediatric hospitalizations and half of all pediatric hospital costs.1 They frequently experience long lengths of stay (LOS), which are associated with hospital-acquired infections, high costs, and family stress.

In this issue of the Journal of Hospital Medicine, Steuart and colleagues investigate one opportunity to decrease LOS in a subset of children with medical complexity by studying the impact of discharge before patients’ return to their respiratory baseline status.2 They examined 632 hospitalizations in children with neurologic impairment who required increased respiratory support for acute respiratory infections. After adjustment for demographic characteristics, clinical complexity, and acute illness severity, there was no difference in the risk of 30-day hospital reutilization (ie, emergency department revisits and readmissions) when comparing the 30% of children discharged before returning to their respiratory baseline with the 70% discharged at baseline (reutilization rates of 32.8% and 31.8%, respectively).

Twenty-six percent required readmission. This rate is four times that reported for children overall, and higher than the rate for children with the top 10 chronic conditions (range, 6%-21%).3 It also exceeds the median 30-day risk-standardized readmission rates for adult conditions targeted by the Centers for Medicare & Medicaid Services (range, 12%-22%).4 The high readmission rate demonstrates the vulnerability of this population and their need for support in hospital-to-home transitions.

These results suggest important areas for future research. First, the findings need to be replicated by multicenter studies to better understand their generalizability. Second, we need more information about the respiratory support required at discharge, which was not captured in this study. For example, clinicians and families may be more comfortable with discharge for a patient who needs slightly higher levels of their baseline support rather than a new modality of respiratory support. Third, we need to better understand the home context of patients discharged before return to respiratory baseline. Lack of home nursing, in particular, has been associated with discharge delays and prolonged LOS in this population.

This study prompts reconsideration of discharge criteria for acute respiratory infections, which often include return to respiratory baseline. Discharge before respiratory baseline for healthy children with bronchiolitis who were discharged on home supplemental oxygen has been associated with shorter hospitalizations and lower costs without differences in reutilization.5 Steuart and colleagues demonstrate the potential of this approach in children with neurologic impairment. One key question remains: Which children are most appropriate for discharge before return to respiratory baseline? Family engagement in discussions of goals of hospitalization, self-efficacy, and discharge readiness are important.6 These conversations provide context that informs discharge decisions. If the patient is stable and both the medical team and family are comfortable with discharge before respiratory baseline, there may be opportunities to engage in shared decision-making around discharge criteria.

The vulnerability of this population, evidenced by their high rates of readmission, reinforces the importance of family engagement, understanding these children’s diverse needs, and further research to identify effective interventions to support safe transitions from hospital to home.

References

1. Gold JM, Hall M, Shah SS, et al. Long length of hospital stay in children with medical complexity. J Hosp Med. 2016;11(11):750-756. https://doi.org/10.1002/jhm.2633
2. Steuart R, Tan R, Melink K, et al. Discharge before return to respiratory baseline in children with neurologic impairment. J Hosp Med. 2020; 15:531-537. https://doi.org/10.12788/jhm.3394
3. Berry JG, Toomey SL, Zaslavsky AM, et al. Pediatric readmission prevalence and variability across hospitals. JAMA. 2013;309(4):372-380. https://doi.org/10.1001/jama.2012.188351
4. 2017 Medicare Hospital Quality Chartbook. Centers for Medicare & Medicaid Services. Last updated February 11, 2020. Accessed June 18, 2020. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/OutcomeMeasures
5. Sandweiss DR, Mundorff MB, Hill T, et al. Decreasing hospital length of stay for bronchiolitis by using an observation unit and home oxygen therapy. JAMA Pediatr. 2013;167(5):422-428. https://doi.org/10.1001/jamapediatrics.2013.1435
6. Leyenaar JK, O’Brien ER, Leslie LK, Lindenauer PK, Mangione-Smith RM. Families’ priorities regarding hospital-to-home transitions for children with medical complexity. Pediatrics. 2017;139(1):e20161581. https://doi.org/10.1542/peds.2016-1581

Article PDF
Author and Disclosure Information

1Division of Pediatric Hospital Medicine, Stanford University School of Medicine, and Lucile Packard Children’s Hospital Stanford, Stanford, California; 2Department of Pediatrics and the Dartmouth Institute for Health Policy & Clinical Practice, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire; 3Department of Medicine, Dell Medical School, the University of Texas at Austin, and South Texas Veterans Health Care System, San Antonio, Texas.

Disclosures

Dr Leyenaar provides consultative services to the American Board of Pediatrics Foundation, not associated with this manuscript. Drs Wang and Leykum have no disclosures.

Issue
Journal of Hospital Medicine 15(9)
Publications
Topics
Page Number
576
Sections
Author and Disclosure Information

1Division of Pediatric Hospital Medicine, Stanford University School of Medicine, and Lucile Packard Children’s Hospital Stanford, Stanford, California; 2Department of Pediatrics and the Dartmouth Institute for Health Policy & Clinical Practice, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire; 3Department of Medicine, Dell Medical School, the University of Texas at Austin, and South Texas Veterans Health Care System, San Antonio, Texas.

Disclosures

Dr Leyenaar provides consultative services to the American Board of Pediatrics Foundation, not associated with this manuscript. Drs Wang and Leykum have no disclosures.

Author and Disclosure Information

1Division of Pediatric Hospital Medicine, Stanford University School of Medicine, and Lucile Packard Children’s Hospital Stanford, Stanford, California; 2Department of Pediatrics and the Dartmouth Institute for Health Policy & Clinical Practice, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire; 3Department of Medicine, Dell Medical School, the University of Texas at Austin, and South Texas Veterans Health Care System, San Antonio, Texas.

Disclosures

Dr Leyenaar provides consultative services to the American Board of Pediatrics Foundation, not associated with this manuscript. Drs Wang and Leykum have no disclosures.

Article PDF
Article PDF
Related Articles

Children with medical complexity account for 30% of pediatric hospitalizations and half of all pediatric hospital costs.1 They frequently experience long lengths of stay (LOS), which are associated with hospital-acquired infections, high costs, and family stress.

In this issue of the Journal of Hospital Medicine, Steuart and colleagues investigate one opportunity to decrease LOS in a subset of children with medical complexity by studying the impact of discharge before patients’ return to their respiratory baseline status.2 They examined 632 hospitalizations in children with neurologic impairment who required increased respiratory support for acute respiratory infections. After adjustment for demographic characteristics, clinical complexity, and acute illness severity, there was no difference in the risk of 30-day hospital reutilization (ie, emergency department revisits and readmissions) when comparing the 30% of children discharged before returning to their respiratory baseline with the 70% discharged at baseline (reutilization rates of 32.8% and 31.8%, respectively).

Twenty-six percent required readmission. This rate is four times that reported for children overall, and higher than the rate for children with the top 10 chronic conditions (range, 6%-21%).3 It also exceeds the median 30-day risk-standardized readmission rates for adult conditions targeted by the Centers for Medicare & Medicaid Services (range, 12%-22%).4 The high readmission rate demonstrates the vulnerability of this population and their need for support in hospital-to-home transitions.

These results suggest important areas for future research. First, the findings need to be replicated by multicenter studies to better understand their generalizability. Second, we need more information about the respiratory support required at discharge, which was not captured in this study. For example, clinicians and families may be more comfortable with discharge for a patient who needs slightly higher levels of their baseline support rather than a new modality of respiratory support. Third, we need to better understand the home context of patients discharged before return to respiratory baseline. Lack of home nursing, in particular, has been associated with discharge delays and prolonged LOS in this population.

This study prompts reconsideration of discharge criteria for acute respiratory infections, which often include return to respiratory baseline. Discharge before respiratory baseline for healthy children with bronchiolitis who were discharged on home supplemental oxygen has been associated with shorter hospitalizations and lower costs without differences in reutilization.5 Steuart and colleagues demonstrate the potential of this approach in children with neurologic impairment. One key question remains: Which children are most appropriate for discharge before return to respiratory baseline? Family engagement in discussions of goals of hospitalization, self-efficacy, and discharge readiness are important.6 These conversations provide context that informs discharge decisions. If the patient is stable and both the medical team and family are comfortable with discharge before respiratory baseline, there may be opportunities to engage in shared decision-making around discharge criteria.

The vulnerability of this population, evidenced by their high rates of readmission, reinforces the importance of family engagement, understanding these children’s diverse needs, and further research to identify effective interventions to support safe transitions from hospital to home.

Children with medical complexity account for 30% of pediatric hospitalizations and half of all pediatric hospital costs.1 They frequently experience long lengths of stay (LOS), which are associated with hospital-acquired infections, high costs, and family stress.

In this issue of the Journal of Hospital Medicine, Steuart and colleagues investigate one opportunity to decrease LOS in a subset of children with medical complexity by studying the impact of discharge before patients’ return to their respiratory baseline status.2 They examined 632 hospitalizations in children with neurologic impairment who required increased respiratory support for acute respiratory infections. After adjustment for demographic characteristics, clinical complexity, and acute illness severity, there was no difference in the risk of 30-day hospital reutilization (ie, emergency department revisits and readmissions) when comparing the 30% of children discharged before returning to their respiratory baseline with the 70% discharged at baseline (reutilization rates of 32.8% and 31.8%, respectively).

Twenty-six percent required readmission. This rate is four times that reported for children overall, and higher than the rate for children with the top 10 chronic conditions (range, 6%-21%).3 It also exceeds the median 30-day risk-standardized readmission rates for adult conditions targeted by the Centers for Medicare & Medicaid Services (range, 12%-22%).4 The high readmission rate demonstrates the vulnerability of this population and their need for support in hospital-to-home transitions.

These results suggest important areas for future research. First, the findings need to be replicated by multicenter studies to better understand their generalizability. Second, we need more information about the respiratory support required at discharge, which was not captured in this study. For example, clinicians and families may be more comfortable with discharge for a patient who needs slightly higher levels of their baseline support rather than a new modality of respiratory support. Third, we need to better understand the home context of patients discharged before return to respiratory baseline. Lack of home nursing, in particular, has been associated with discharge delays and prolonged LOS in this population.

This study prompts reconsideration of discharge criteria for acute respiratory infections, which often include return to respiratory baseline. Discharge before respiratory baseline for healthy children with bronchiolitis who were discharged on home supplemental oxygen has been associated with shorter hospitalizations and lower costs without differences in reutilization.5 Steuart and colleagues demonstrate the potential of this approach in children with neurologic impairment. One key question remains: Which children are most appropriate for discharge before return to respiratory baseline? Family engagement in discussions of goals of hospitalization, self-efficacy, and discharge readiness are important.6 These conversations provide context that informs discharge decisions. If the patient is stable and both the medical team and family are comfortable with discharge before respiratory baseline, there may be opportunities to engage in shared decision-making around discharge criteria.

The vulnerability of this population, evidenced by their high rates of readmission, reinforces the importance of family engagement, understanding these children’s diverse needs, and further research to identify effective interventions to support safe transitions from hospital to home.

References

1. Gold JM, Hall M, Shah SS, et al. Long length of hospital stay in children with medical complexity. J Hosp Med. 2016;11(11):750-756. https://doi.org/10.1002/jhm.2633
2. Steuart R, Tan R, Melink K, et al. Discharge before return to respiratory baseline in children with neurologic impairment. J Hosp Med. 2020; 15:531-537. https://doi.org/10.12788/jhm.3394
3. Berry JG, Toomey SL, Zaslavsky AM, et al. Pediatric readmission prevalence and variability across hospitals. JAMA. 2013;309(4):372-380. https://doi.org/10.1001/jama.2012.188351
4. 2017 Medicare Hospital Quality Chartbook. Centers for Medicare & Medicaid Services. Last updated February 11, 2020. Accessed June 18, 2020. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/OutcomeMeasures
5. Sandweiss DR, Mundorff MB, Hill T, et al. Decreasing hospital length of stay for bronchiolitis by using an observation unit and home oxygen therapy. JAMA Pediatr. 2013;167(5):422-428. https://doi.org/10.1001/jamapediatrics.2013.1435
6. Leyenaar JK, O’Brien ER, Leslie LK, Lindenauer PK, Mangione-Smith RM. Families’ priorities regarding hospital-to-home transitions for children with medical complexity. Pediatrics. 2017;139(1):e20161581. https://doi.org/10.1542/peds.2016-1581

References

1. Gold JM, Hall M, Shah SS, et al. Long length of hospital stay in children with medical complexity. J Hosp Med. 2016;11(11):750-756. https://doi.org/10.1002/jhm.2633
2. Steuart R, Tan R, Melink K, et al. Discharge before return to respiratory baseline in children with neurologic impairment. J Hosp Med. 2020; 15:531-537. https://doi.org/10.12788/jhm.3394
3. Berry JG, Toomey SL, Zaslavsky AM, et al. Pediatric readmission prevalence and variability across hospitals. JAMA. 2013;309(4):372-380. https://doi.org/10.1001/jama.2012.188351
4. 2017 Medicare Hospital Quality Chartbook. Centers for Medicare & Medicaid Services. Last updated February 11, 2020. Accessed June 18, 2020. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/OutcomeMeasures
5. Sandweiss DR, Mundorff MB, Hill T, et al. Decreasing hospital length of stay for bronchiolitis by using an observation unit and home oxygen therapy. JAMA Pediatr. 2013;167(5):422-428. https://doi.org/10.1001/jamapediatrics.2013.1435
6. Leyenaar JK, O’Brien ER, Leslie LK, Lindenauer PK, Mangione-Smith RM. Families’ priorities regarding hospital-to-home transitions for children with medical complexity. Pediatrics. 2017;139(1):e20161581. https://doi.org/10.1542/peds.2016-1581

Issue
Journal of Hospital Medicine 15(9)
Issue
Journal of Hospital Medicine 15(9)
Page Number
576
Page Number
576
Publications
Publications
Topics
Article Type
Sections
Article Source

© 2020 Society of Hospital Medicine

Disallow All Ads
Correspondence Location
Marie Wang, MD, MPH; Email: marie.wang@stanford.edu; Telephone: 650-736-4423; Twitter: @MarieWangMD.
Content Gating
Gated (full article locked unless allowed per User)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
Article PDF Media

Is It Time to Revisit Pediatric Postdischarge Home Visits for Readmissions Reduction?

Article Type
Changed
Thu, 04/22/2021 - 14:59

Despite concerted national efforts to decrease pediatric readmissions, recent data suggest that preventable and all-cause readmission rates of hospitalized children remain unchanged.1 Because some readmissions may be caused by inadequate postdischarge follow-up, nurse (RN) home visits offer the prospect of addressing unresolved clinical issues after discharge and ameliorating patient and family concerns that may otherwise prompt re-presentation for acute care. Yet a recent trial of this approach, the Hospital to Home Outcomes (H2O) trial,2 found the opposite to be true: participants receiving home nurse visits had higher reutilization rates than did participants in the control group. This raises interesting questions: Is it time to revisit postdischarge outreach as an intervention to reduce pediatric readmissions—and even pediatric readmissions altogether as an outcome metric?

In this issue of the Journal of Hospital Medicine, Riddle et al3 explored the perspectives of key stakeholders to understand the factors driving increased reutilization after postdischarge home visits in the H2O trial and obtained feedback for improving potential interventions. The investigators used a qualitative approach that consisted of telephone interviews with 33 parents who were enrolled in the H2O trial and in-person focus groups with 10 home care RNs involved in the trial, 12 hospital medicine physicians, and 7 primary care physicians (PCPs). Inductive thematic analysis was used to analyze responses to open-ended questions through a rigorous, iterative and multidisciplinary process. Key themes elicited from stakeholders included questions about the clinical appropriateness of reutilization episodes; the influence of insufficiently contextualized “red flag,” or warning sign, instructions given to parents in facilitating reutilization; the potential for hospital-employed home care nurses to inadvertently promote emergency department rather than PCP follow-up; and escalation of care exceeding that expected in a PCP office. Stakeholders suggested the intervention could be improved by enhancing postdischarge communication between home care RNs, hospital medicine physicians, and PCPs; tailoring home visits to specific clinical, patient, and family scenarios; and more clearly framing “red flags.”

We welcome the work of Riddle and colleagues in exposing the elements of home visits that may have led to increased utilization, and their proposed next steps to improve the intervention—enhancing contact with PCP offices and focusing interventions on specific populations—unquestionably have merit. We agree that this may be particularly true in children with medical complexity (a population that was excluded from this study), who have unique discharge needs and account for over half of pediatric readmissions.4 However, we suggest that the instinct to refine the design of the study intervention should be weighed against alternative possibilities: that postdischarge interventions are simply not effective in decreasing reutilization or, at the very least, that the findings of the H2O trial should not lead us to invest the resources required to further discern the efficacy of postdischarge interventions.

This counter-intuitive possibility is only compounded by the fact that reutilization rates were not improved in the study group’s H2O II trial, a follow-up study that focused on postdischarge nurse telephone calls as the intervention of interest5; and indeed, the results of these two, well-designed negative trials have been previously cited to propose postdischarge nurse contact as a potential target of deimplementation efforts.6 In the pediatric population, in which caregivers rather than patients themselves are generally responsible for seeking out care, postdischarge outreach may inevitably escalate concerning findings that will result in reutilization. Instead, perhaps the H2O study findings should prompt a broader exploration for alternative solutions to pediatric readmission reduction. One such solution could build on the finding by Riddle et al that stakeholders perceive ambiguity in whether discharging physicians, or rather PCPs, have ownership of clinical issues after discharge. Rather than asking visiting RNs to triangulate between inpatient and outpatient physicians, developing systems to directly integrate PCPs in the hospital discharge process for select patients—for instance, through leveraging the rapid expansion of telemedicine services during the COVID-19 crisis—may promote shared understanding of a patient’s illness trajectory and follow-up needs.

Importantly, the authors also noted that despite the findings of increased reutilization, parents who received home visits expressed their wishes to receive home visits in the future. While not a central finding of the study, this validates a hypothesis expressed in prior work by the H2O study group: “Hospital quality readmission metrics may not be well aligned with family desires for improved postdischarge transitions.”5 Given that efforts to reduce pediatric readmission have been largely unsuccessful and that readmission events are relatively uncommon in the general pediatric population,4 the parental wishes resonate with existing calls in the literature to consider looking beyond readmissions reduction in isolation as a quality metric. In contrast to the increasing presence of hospital reimbursement penalties among state Medicaid agencies for readmissions, a shift in focus toward outcome measures that are patient- and family-centered is imperative.1,7 If home visits are not ultimately a solution to pediatric reutilization reduction, they may nonetheless still enable families to effectively manage the concerns that families endorse following discharge, including medication safety and social hardships.8

In summary, Riddle et al not only provided important context for the unexpected outcome of a well-designed randomized clinical trial but also provided a rich source of qualitative data that furthers our understanding of a child’s discharge home from the hospital through the perspective of multiple stakeholders. While the authors offer well-reasoned next steps in narrowing the intervention population of interest and enhancing connections of families with PCP care, it may be time to broadly revisit postdischarge interventions and outcomes to identify new approaches and redefine quality measures for hospital-to-home transitions of children and their families.

References

1. Auger KA, Harris JM, Gay JC, et al. Progress (?) toward reducing pediatric readmissions. J Hosp Med. 2019;14(10):618-621. https://doi.org/10.12788/jhm.3210
2. Auger KA, Simmons JM, Tubbs-Cooley HL, et al. Postdischarge nurse home visits and reuse: the hospital to home outcomes (H2O) trial. Pediatrics. 2018;142(1):e20173919. https://doi.org/10.1542/peds.2019-0092
3. Riddle SW, Sherman SN, Moore MJ, et al. A qualitative study of increased pediatric reutilization after a postdischarge home nurse visit. J Hosp Med. 2020;15:518-525. https://doi.org/10.12788/jhm.3370
4. Berry JG, Toomey SL, Zaslavsky AM, et al. Pediatric readmission prevalence and variability across hospitals. JAMA. 2013;309(4):372-380. https://doi.org/10.1001/jama.2012.188351
5. Auger KA, Shah SS, Tubbs-Cooley HL, et al. Effects of a 1-time nurse-led telephone call after pediatric discharge: the H2O II randomized clinical trial. JAMA Pediatr. 2018;172(9):e181482. https://doi.org/10.1001/jamapediatrics.2018.1482
6. Bonafide CP, Keren R. Negative studies and the science of deimplementation. JAMA Pediatr. 2018;172(9):807-809. https://doi.org/ 10.1001/jamapediatrics.2018.2077
7. Leyenaar JK, Lagu T, Lindenauer PK. Are pediatric readmission reduction efforts falling flat? J Hosp Med. 2019;14(10):644-645. https://doi.org/10.12788/jhm.3269
8. Tubbs-Cooley HL, Riddle SW, Gold JM, et al. Paediatric clinical and social concerns identified by home visit nurses in the immediate postdischarge period. J Adv Nurs. 2020;76(6):1394-1403. https://doi.org/10.1111/jan.14341

Article PDF
Author and Disclosure Information

1Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania; 2Section of Hospital Medicine, Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; 3Leonard Davis Institute of Health Economics, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania.

Disclosures

The authors report no conflicts of interest.

Issue
Journal of Hospital Medicine 15(9)
Publications
Topics
Page Number
574-575
Sections
Author and Disclosure Information

1Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania; 2Section of Hospital Medicine, Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; 3Leonard Davis Institute of Health Economics, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania.

Disclosures

The authors report no conflicts of interest.

Author and Disclosure Information

1Section of Pediatric Hospital Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania; 2Section of Hospital Medicine, Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; 3Leonard Davis Institute of Health Economics, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania.

Disclosures

The authors report no conflicts of interest.

Article PDF
Article PDF
Related Articles

Despite concerted national efforts to decrease pediatric readmissions, recent data suggest that preventable and all-cause readmission rates of hospitalized children remain unchanged.1 Because some readmissions may be caused by inadequate postdischarge follow-up, nurse (RN) home visits offer the prospect of addressing unresolved clinical issues after discharge and ameliorating patient and family concerns that may otherwise prompt re-presentation for acute care. Yet a recent trial of this approach, the Hospital to Home Outcomes (H2O) trial,2 found the opposite to be true: participants receiving home nurse visits had higher reutilization rates than did participants in the control group. This raises interesting questions: Is it time to revisit postdischarge outreach as an intervention to reduce pediatric readmissions—and even pediatric readmissions altogether as an outcome metric?

In this issue of the Journal of Hospital Medicine, Riddle et al3 explored the perspectives of key stakeholders to understand the factors driving increased reutilization after postdischarge home visits in the H2O trial and obtained feedback for improving potential interventions. The investigators used a qualitative approach that consisted of telephone interviews with 33 parents who were enrolled in the H2O trial and in-person focus groups with 10 home care RNs involved in the trial, 12 hospital medicine physicians, and 7 primary care physicians (PCPs). Inductive thematic analysis was used to analyze responses to open-ended questions through a rigorous, iterative and multidisciplinary process. Key themes elicited from stakeholders included questions about the clinical appropriateness of reutilization episodes; the influence of insufficiently contextualized “red flag,” or warning sign, instructions given to parents in facilitating reutilization; the potential for hospital-employed home care nurses to inadvertently promote emergency department rather than PCP follow-up; and escalation of care exceeding that expected in a PCP office. Stakeholders suggested the intervention could be improved by enhancing postdischarge communication between home care RNs, hospital medicine physicians, and PCPs; tailoring home visits to specific clinical, patient, and family scenarios; and more clearly framing “red flags.”

We welcome the work of Riddle and colleagues in exposing the elements of home visits that may have led to increased utilization, and their proposed next steps to improve the intervention—enhancing contact with PCP offices and focusing interventions on specific populations—unquestionably have merit. We agree that this may be particularly true in children with medical complexity (a population that was excluded from this study), who have unique discharge needs and account for over half of pediatric readmissions.4 However, we suggest that the instinct to refine the design of the study intervention should be weighed against alternative possibilities: that postdischarge interventions are simply not effective in decreasing reutilization or, at the very least, that the findings of the H2O trial should not lead us to invest the resources required to further discern the efficacy of postdischarge interventions.

This counter-intuitive possibility is only compounded by the fact that reutilization rates were not improved in the study group’s H2O II trial, a follow-up study that focused on postdischarge nurse telephone calls as the intervention of interest5; and indeed, the results of these two, well-designed negative trials have been previously cited to propose postdischarge nurse contact as a potential target of deimplementation efforts.6 In the pediatric population, in which caregivers rather than patients themselves are generally responsible for seeking out care, postdischarge outreach may inevitably escalate concerning findings that will result in reutilization. Instead, perhaps the H2O study findings should prompt a broader exploration for alternative solutions to pediatric readmission reduction. One such solution could build on the finding by Riddle et al that stakeholders perceive ambiguity in whether discharging physicians, or rather PCPs, have ownership of clinical issues after discharge. Rather than asking visiting RNs to triangulate between inpatient and outpatient physicians, developing systems to directly integrate PCPs in the hospital discharge process for select patients—for instance, through leveraging the rapid expansion of telemedicine services during the COVID-19 crisis—may promote shared understanding of a patient’s illness trajectory and follow-up needs.

Importantly, the authors also noted that despite the findings of increased reutilization, parents who received home visits expressed their wishes to receive home visits in the future. While not a central finding of the study, this validates a hypothesis expressed in prior work by the H2O study group: “Hospital quality readmission metrics may not be well aligned with family desires for improved postdischarge transitions.”5 Given that efforts to reduce pediatric readmission have been largely unsuccessful and that readmission events are relatively uncommon in the general pediatric population,4 the parental wishes resonate with existing calls in the literature to consider looking beyond readmissions reduction in isolation as a quality metric. In contrast to the increasing presence of hospital reimbursement penalties among state Medicaid agencies for readmissions, a shift in focus toward outcome measures that are patient- and family-centered is imperative.1,7 If home visits are not ultimately a solution to pediatric reutilization reduction, they may nonetheless still enable families to effectively manage the concerns that families endorse following discharge, including medication safety and social hardships.8

In summary, Riddle et al not only provided important context for the unexpected outcome of a well-designed randomized clinical trial but also provided a rich source of qualitative data that furthers our understanding of a child’s discharge home from the hospital through the perspective of multiple stakeholders. While the authors offer well-reasoned next steps in narrowing the intervention population of interest and enhancing connections of families with PCP care, it may be time to broadly revisit postdischarge interventions and outcomes to identify new approaches and redefine quality measures for hospital-to-home transitions of children and their families.

Despite concerted national efforts to decrease pediatric readmissions, recent data suggest that preventable and all-cause readmission rates of hospitalized children remain unchanged.1 Because some readmissions may be caused by inadequate postdischarge follow-up, nurse (RN) home visits offer the prospect of addressing unresolved clinical issues after discharge and ameliorating patient and family concerns that may otherwise prompt re-presentation for acute care. Yet a recent trial of this approach, the Hospital to Home Outcomes (H2O) trial,2 found the opposite to be true: participants receiving home nurse visits had higher reutilization rates than did participants in the control group. This raises interesting questions: Is it time to revisit postdischarge outreach as an intervention to reduce pediatric readmissions—and even pediatric readmissions altogether as an outcome metric?

In this issue of the Journal of Hospital Medicine, Riddle et al3 explored the perspectives of key stakeholders to understand the factors driving increased reutilization after postdischarge home visits in the H2O trial and obtained feedback for improving potential interventions. The investigators used a qualitative approach that consisted of telephone interviews with 33 parents who were enrolled in the H2O trial and in-person focus groups with 10 home care RNs involved in the trial, 12 hospital medicine physicians, and 7 primary care physicians (PCPs). Inductive thematic analysis was used to analyze responses to open-ended questions through a rigorous, iterative and multidisciplinary process. Key themes elicited from stakeholders included questions about the clinical appropriateness of reutilization episodes; the influence of insufficiently contextualized “red flag,” or warning sign, instructions given to parents in facilitating reutilization; the potential for hospital-employed home care nurses to inadvertently promote emergency department rather than PCP follow-up; and escalation of care exceeding that expected in a PCP office. Stakeholders suggested the intervention could be improved by enhancing postdischarge communication between home care RNs, hospital medicine physicians, and PCPs; tailoring home visits to specific clinical, patient, and family scenarios; and more clearly framing “red flags.”

We welcome the work of Riddle and colleagues in exposing the elements of home visits that may have led to increased utilization, and their proposed next steps to improve the intervention—enhancing contact with PCP offices and focusing interventions on specific populations—unquestionably have merit. We agree that this may be particularly true in children with medical complexity (a population that was excluded from this study), who have unique discharge needs and account for over half of pediatric readmissions.4 However, we suggest that the instinct to refine the design of the study intervention should be weighed against alternative possibilities: that postdischarge interventions are simply not effective in decreasing reutilization or, at the very least, that the findings of the H2O trial should not lead us to invest the resources required to further discern the efficacy of postdischarge interventions.

This counter-intuitive possibility is only compounded by the fact that reutilization rates were not improved in the study group’s H2O II trial, a follow-up study that focused on postdischarge nurse telephone calls as the intervention of interest5; and indeed, the results of these two, well-designed negative trials have been previously cited to propose postdischarge nurse contact as a potential target of deimplementation efforts.6 In the pediatric population, in which caregivers rather than patients themselves are generally responsible for seeking out care, postdischarge outreach may inevitably escalate concerning findings that will result in reutilization. Instead, perhaps the H2O study findings should prompt a broader exploration for alternative solutions to pediatric readmission reduction. One such solution could build on the finding by Riddle et al that stakeholders perceive ambiguity in whether discharging physicians, or rather PCPs, have ownership of clinical issues after discharge. Rather than asking visiting RNs to triangulate between inpatient and outpatient physicians, developing systems to directly integrate PCPs in the hospital discharge process for select patients—for instance, through leveraging the rapid expansion of telemedicine services during the COVID-19 crisis—may promote shared understanding of a patient’s illness trajectory and follow-up needs.

Importantly, the authors also noted that despite the findings of increased reutilization, parents who received home visits expressed their wishes to receive home visits in the future. While not a central finding of the study, this validates a hypothesis expressed in prior work by the H2O study group: “Hospital quality readmission metrics may not be well aligned with family desires for improved postdischarge transitions.”5 Given that efforts to reduce pediatric readmission have been largely unsuccessful and that readmission events are relatively uncommon in the general pediatric population,4 the parental wishes resonate with existing calls in the literature to consider looking beyond readmissions reduction in isolation as a quality metric. In contrast to the increasing presence of hospital reimbursement penalties among state Medicaid agencies for readmissions, a shift in focus toward outcome measures that are patient- and family-centered is imperative.1,7 If home visits are not ultimately a solution to pediatric reutilization reduction, they may nonetheless still enable families to effectively manage the concerns that families endorse following discharge, including medication safety and social hardships.8

In summary, Riddle et al not only provided important context for the unexpected outcome of a well-designed randomized clinical trial but also provided a rich source of qualitative data that furthers our understanding of a child’s discharge home from the hospital through the perspective of multiple stakeholders. While the authors offer well-reasoned next steps in narrowing the intervention population of interest and enhancing connections of families with PCP care, it may be time to broadly revisit postdischarge interventions and outcomes to identify new approaches and redefine quality measures for hospital-to-home transitions of children and their families.

References

1. Auger KA, Harris JM, Gay JC, et al. Progress (?) toward reducing pediatric readmissions. J Hosp Med. 2019;14(10):618-621. https://doi.org/10.12788/jhm.3210
2. Auger KA, Simmons JM, Tubbs-Cooley HL, et al. Postdischarge nurse home visits and reuse: the hospital to home outcomes (H2O) trial. Pediatrics. 2018;142(1):e20173919. https://doi.org/10.1542/peds.2019-0092
3. Riddle SW, Sherman SN, Moore MJ, et al. A qualitative study of increased pediatric reutilization after a postdischarge home nurse visit. J Hosp Med. 2020;15:518-525. https://doi.org/10.12788/jhm.3370
4. Berry JG, Toomey SL, Zaslavsky AM, et al. Pediatric readmission prevalence and variability across hospitals. JAMA. 2013;309(4):372-380. https://doi.org/10.1001/jama.2012.188351
5. Auger KA, Shah SS, Tubbs-Cooley HL, et al. Effects of a 1-time nurse-led telephone call after pediatric discharge: the H2O II randomized clinical trial. JAMA Pediatr. 2018;172(9):e181482. https://doi.org/10.1001/jamapediatrics.2018.1482
6. Bonafide CP, Keren R. Negative studies and the science of deimplementation. JAMA Pediatr. 2018;172(9):807-809. https://doi.org/ 10.1001/jamapediatrics.2018.2077
7. Leyenaar JK, Lagu T, Lindenauer PK. Are pediatric readmission reduction efforts falling flat? J Hosp Med. 2019;14(10):644-645. https://doi.org/10.12788/jhm.3269
8. Tubbs-Cooley HL, Riddle SW, Gold JM, et al. Paediatric clinical and social concerns identified by home visit nurses in the immediate postdischarge period. J Adv Nurs. 2020;76(6):1394-1403. https://doi.org/10.1111/jan.14341

References

1. Auger KA, Harris JM, Gay JC, et al. Progress (?) toward reducing pediatric readmissions. J Hosp Med. 2019;14(10):618-621. https://doi.org/10.12788/jhm.3210
2. Auger KA, Simmons JM, Tubbs-Cooley HL, et al. Postdischarge nurse home visits and reuse: the hospital to home outcomes (H2O) trial. Pediatrics. 2018;142(1):e20173919. https://doi.org/10.1542/peds.2019-0092
3. Riddle SW, Sherman SN, Moore MJ, et al. A qualitative study of increased pediatric reutilization after a postdischarge home nurse visit. J Hosp Med. 2020;15:518-525. https://doi.org/10.12788/jhm.3370
4. Berry JG, Toomey SL, Zaslavsky AM, et al. Pediatric readmission prevalence and variability across hospitals. JAMA. 2013;309(4):372-380. https://doi.org/10.1001/jama.2012.188351
5. Auger KA, Shah SS, Tubbs-Cooley HL, et al. Effects of a 1-time nurse-led telephone call after pediatric discharge: the H2O II randomized clinical trial. JAMA Pediatr. 2018;172(9):e181482. https://doi.org/10.1001/jamapediatrics.2018.1482
6. Bonafide CP, Keren R. Negative studies and the science of deimplementation. JAMA Pediatr. 2018;172(9):807-809. https://doi.org/ 10.1001/jamapediatrics.2018.2077
7. Leyenaar JK, Lagu T, Lindenauer PK. Are pediatric readmission reduction efforts falling flat? J Hosp Med. 2019;14(10):644-645. https://doi.org/10.12788/jhm.3269
8. Tubbs-Cooley HL, Riddle SW, Gold JM, et al. Paediatric clinical and social concerns identified by home visit nurses in the immediate postdischarge period. J Adv Nurs. 2020;76(6):1394-1403. https://doi.org/10.1111/jan.14341

Issue
Journal of Hospital Medicine 15(9)
Issue
Journal of Hospital Medicine 15(9)
Page Number
574-575
Page Number
574-575
Publications
Publications
Topics
Article Type
Sections
Article Source

© 2020 Society of Hospital Medicine

Disallow All Ads
Correspondence Location
Andrew S Kern-Goldberger, MD; Email: kerngoldba@email.chop.edu; Telephone: 267-303-2638; Twitter @ASKGoldberger.
Content Gating
Gated (full article locked unless allowed per User)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
Article PDF Media

Speaking Up, Questioning Assumptions About Racism

Article Type
Changed
Thu, 07/30/2020 - 13:26
Display Headline
Speaking Up, Questioning Assumptions About Racism

Let me start with these 3 words that really should never have to be said: Black Lives Matter.

It was hard to sit down to write this piece—not just because it’s a sunny Sunday morning, but because I’m still afraid I’ll get it wrong, show my white privilege, offend someone. George Floyd’s murder has been a reckoning for Black Americans, for the police, for the nation (maybe the world), and for me. I live in a multi-racial household, and we have redoubled our efforts to talk about racism and bias and question our assumptions as part of our daily conversations. After Mr. Floyd was killed, I decided that I would try to be less afraid of getting it wrong and be more outspoken about my support for Black Lives Matter and for the work that we need to do in this country, and in ourselves, to become more antiracist.

Here are some things that I know: I know that study after study has shown that health care and health outcomes are worse for Black people than for White people. I know that people of color are sickening and dying with COVID-19 before our eyes, just as other pandemics, such as HIV, differentially affect communities of color. I know, too, that a Black physician executive who lives around the corner from me has been stopped by our local police more than 10 times; I have been stopped by our local police exactly once.

I don’t know how to fix it. But I do know that my silence won’t help. Here are some things I am trying to do at home and at work: I am educating myself about race and racism. I’m not asking my Black peers, patients, or colleagues to teach me, but I am listening to what they tell me, when they want to tell me. I am reading books like Ibram Kendi’s How to Be Antiracist and Bernadine Evaristo’s Girl, Woman, Other. I challenge myself to read articles that I might have skipped over—because they were simply too painful. People of color don’t have a choice about facing their pain. I have that choice—it’s a privilege—and I choose to be an ally.

I’m speaking up even when I’m afraid that I might say the wrong thing. This can take several forms—questioning assumptions about race and racism when it comes up, which is often, in medicine. It also means amplifying the voices that don’t always get heard—asking a young person of color her opinion in a meeting, retweeting the thoughts of a Black colleague, thanking someone publicly or personally for a comment, an idea, or the kernel of something important. I ask people to correct me, and I try to be humble in accepting criticism or correction.

Being a better ally also means putting our money where our mouth is, supporting Black-owned businesses and restaurants, and donating to causes that support equality and justice. We can diversify our social media feeds. We have to be willing to be excluded from the conversation—if you’re white or straight or cis-gendered, it’s not about you—and be ready to feel uncomfortable. We can encourage our organizations to do better. I’m proud of my organization, which had already started working to make our organizational culture even more inclusive.

Black Lives Matter. I’m looking forward to a day when that is so obvious that we don’t have to say it. Until then, I’m going to be hard at work with my head, my ears, and my whole heart.

Article PDF
Issue
Journal of Clinical Outcomes Management - 27(4)
Publications
Topics
Page Number
161
Sections
Article PDF
Article PDF

Let me start with these 3 words that really should never have to be said: Black Lives Matter.

It was hard to sit down to write this piece—not just because it’s a sunny Sunday morning, but because I’m still afraid I’ll get it wrong, show my white privilege, offend someone. George Floyd’s murder has been a reckoning for Black Americans, for the police, for the nation (maybe the world), and for me. I live in a multi-racial household, and we have redoubled our efforts to talk about racism and bias and question our assumptions as part of our daily conversations. After Mr. Floyd was killed, I decided that I would try to be less afraid of getting it wrong and be more outspoken about my support for Black Lives Matter and for the work that we need to do in this country, and in ourselves, to become more antiracist.

Here are some things that I know: I know that study after study has shown that health care and health outcomes are worse for Black people than for White people. I know that people of color are sickening and dying with COVID-19 before our eyes, just as other pandemics, such as HIV, differentially affect communities of color. I know, too, that a Black physician executive who lives around the corner from me has been stopped by our local police more than 10 times; I have been stopped by our local police exactly once.

I don’t know how to fix it. But I do know that my silence won’t help. Here are some things I am trying to do at home and at work: I am educating myself about race and racism. I’m not asking my Black peers, patients, or colleagues to teach me, but I am listening to what they tell me, when they want to tell me. I am reading books like Ibram Kendi’s How to Be Antiracist and Bernadine Evaristo’s Girl, Woman, Other. I challenge myself to read articles that I might have skipped over—because they were simply too painful. People of color don’t have a choice about facing their pain. I have that choice—it’s a privilege—and I choose to be an ally.

I’m speaking up even when I’m afraid that I might say the wrong thing. This can take several forms—questioning assumptions about race and racism when it comes up, which is often, in medicine. It also means amplifying the voices that don’t always get heard—asking a young person of color her opinion in a meeting, retweeting the thoughts of a Black colleague, thanking someone publicly or personally for a comment, an idea, or the kernel of something important. I ask people to correct me, and I try to be humble in accepting criticism or correction.

Being a better ally also means putting our money where our mouth is, supporting Black-owned businesses and restaurants, and donating to causes that support equality and justice. We can diversify our social media feeds. We have to be willing to be excluded from the conversation—if you’re white or straight or cis-gendered, it’s not about you—and be ready to feel uncomfortable. We can encourage our organizations to do better. I’m proud of my organization, which had already started working to make our organizational culture even more inclusive.

Black Lives Matter. I’m looking forward to a day when that is so obvious that we don’t have to say it. Until then, I’m going to be hard at work with my head, my ears, and my whole heart.

Let me start with these 3 words that really should never have to be said: Black Lives Matter.

It was hard to sit down to write this piece—not just because it’s a sunny Sunday morning, but because I’m still afraid I’ll get it wrong, show my white privilege, offend someone. George Floyd’s murder has been a reckoning for Black Americans, for the police, for the nation (maybe the world), and for me. I live in a multi-racial household, and we have redoubled our efforts to talk about racism and bias and question our assumptions as part of our daily conversations. After Mr. Floyd was killed, I decided that I would try to be less afraid of getting it wrong and be more outspoken about my support for Black Lives Matter and for the work that we need to do in this country, and in ourselves, to become more antiracist.

Here are some things that I know: I know that study after study has shown that health care and health outcomes are worse for Black people than for White people. I know that people of color are sickening and dying with COVID-19 before our eyes, just as other pandemics, such as HIV, differentially affect communities of color. I know, too, that a Black physician executive who lives around the corner from me has been stopped by our local police more than 10 times; I have been stopped by our local police exactly once.

I don’t know how to fix it. But I do know that my silence won’t help. Here are some things I am trying to do at home and at work: I am educating myself about race and racism. I’m not asking my Black peers, patients, or colleagues to teach me, but I am listening to what they tell me, when they want to tell me. I am reading books like Ibram Kendi’s How to Be Antiracist and Bernadine Evaristo’s Girl, Woman, Other. I challenge myself to read articles that I might have skipped over—because they were simply too painful. People of color don’t have a choice about facing their pain. I have that choice—it’s a privilege—and I choose to be an ally.

I’m speaking up even when I’m afraid that I might say the wrong thing. This can take several forms—questioning assumptions about race and racism when it comes up, which is often, in medicine. It also means amplifying the voices that don’t always get heard—asking a young person of color her opinion in a meeting, retweeting the thoughts of a Black colleague, thanking someone publicly or personally for a comment, an idea, or the kernel of something important. I ask people to correct me, and I try to be humble in accepting criticism or correction.

Being a better ally also means putting our money where our mouth is, supporting Black-owned businesses and restaurants, and donating to causes that support equality and justice. We can diversify our social media feeds. We have to be willing to be excluded from the conversation—if you’re white or straight or cis-gendered, it’s not about you—and be ready to feel uncomfortable. We can encourage our organizations to do better. I’m proud of my organization, which had already started working to make our organizational culture even more inclusive.

Black Lives Matter. I’m looking forward to a day when that is so obvious that we don’t have to say it. Until then, I’m going to be hard at work with my head, my ears, and my whole heart.

Issue
Journal of Clinical Outcomes Management - 27(4)
Issue
Journal of Clinical Outcomes Management - 27(4)
Page Number
161
Page Number
161
Publications
Publications
Topics
Article Type
Display Headline
Speaking Up, Questioning Assumptions About Racism
Display Headline
Speaking Up, Questioning Assumptions About Racism
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Article PDF Media

Surgical Comanagement for Hip Fracture: Time for a Randomized Trial

Article Type
Changed
Fri, 07/26/2024 - 20:05

The growth in the hospitalist workforce has been one of the major trends shaping US (and international) inpatient medicine over the last 25 years.1 Hospitalists’ clinical work is typically split among serving as the primary attending for admitted patients (termed “most responsible physician,” or MRP, in Canada), outpatient clinics, medical consults, and comanagement.2,3 Comanagement typically involves the cooperative efforts of hospitalists and subspecialists ranging from general surgery to orthopedics to medical oncology. Comanagement differs from typical medical consultation because comanaging hospitalists are commonly given broad discretion to directly write orders, manage intercurrent medical illness (eg, hyperglycemia), and even discharge patients from the hospital when appropriate. There can be significant heterogeneity in how comanagement is implemented across institutions.4

With respect to hip fractures, literature suggests that subspecialists value comanagement and that comanagement is associated with reductions in hospital length of stay, timelier surgical repair, and potential cost savings for hospitals.5-7 Some studies have found reductions in in-hospital and 1-year mortality (including one meta-analysis on ortho-geriatric comanagement)8 and complications,9 but others have found no such benefits.10,11

In the current issue of the Journal of Hospital Medicine, Maxwell and Mirza used data from the National Surgical Quality Improvement Program (NSQIP) Participant Use Data File (PUF)—specifically, from the Hip Fracture PUF—to investigate the relationship between comanagement and mortality and major morbidity among more than 15,000 patients hospitalized with hip fracture.12 The investigators did not find that comanagement was associated with a reduction in either morbidity or mortality.

Several factors give gravitas to their analysis. First, the NSQIP PUF is an extremely rigorous data source for evaluating surgical outcomes. Originally developed in the US Veterans Health Administration in the 1980’s to standardize data elements needed for quality improvement and hospital benchmarking, today NSQIP involves more than 600 hospitals in 9 different countries submitting hundreds of thousands of cases annually.13 Second, the authors recognized that the comanagement and noncomanagement groups differed substantially and used propensity score matching in an effort to account for these differences. Surprisingly, they found that the comanagement had significantly higher mortality and morbidity than the noncomanagement group, even after propensity score matching.

These results are important in testing the assumption of the inherent “good” of comanagement. Does this study provide definitive evidence that surgical comanagement does not improve outcomes? We would suggest that this study be interpreted in light of certain considerations.

First, comanagement is a broad term including a variety of operationalizations, such as geriatrician vs hospitalist comanagement, involvement before vs after surgery, and varying divisions of responsibility between the surgical and medical services. Research indicates that successful comanagement models tend to incorporate multidisciplinary teams, embrace the “dual primary caregiver” nature of comanagement, and shared goals among primary caregivers, specifically anticipating prevention of complications.5 The NSQIP data do not provide sufficient granularity to allow for investigation of these crucial nuances that may ultimately determine whether comanagement programs are effective. Additionally, comanagement often (but not always) coexists with a care pathway, and so deficiencies in or absence of a care pathway add additional heterogeneity to the comanagement group which is not captured in the NSQIP PUF.

Second, it is important to consider the potential for unmeasured confounding. The propensity score matching did seem to achieve balance in the distribution of most baseline variables between the comanagement and noncomanagement groups, though differences remain for certain covariates. A key assumption in propensity score matching (and in observational research more broadly) is the principle of “no unmeasured confounders” (ie, the assumption that all variables that might influence treatment assignment and outcomes are measured).14 For the NSQIP PUF this absence of unmeasured confounders is clearly not the case because hospital and surgeon variables are omitted from the PUF for reasons of confidentiality. Inclusion of hospital and surgeon variables could well be important because outcomes may vary by hospital or by surgeon, and simultaneously, different hospitals and different surgeons will have different protocols and preferences regarding comanagement. Furthermore, confounding is virtually guaranteed to the extent that hospitals and surgeons do not randomly assign hip fracture patients to comanagement or usual care. The finding of higher mortality in the comanagement group, even after adjustment and matching, suggests the presence of residual confounding. Even if residual confounding is the explanation for the worse outcomes observed in the comanagement group, the finding of a lack of benefit of comanagement is noteworthy and should not be dismissed out of hand.

Limitations aside, these results suggest a need for humility among strong proponents of comanagement, at least in the hip fracture population. While it may still be reasonable to claim that comanagement improves efficiency and may enhance certain aspects of patient or physician satisfaction, the lack of an impact on mortality highlights a need to examine the benefits of these programs more carefully. From a clinical perspective, hospitalists and orthopedic surgeons should consider which hip fracture patients might be most likely to benefit from comanagement.4 From a research perspective, the current study highlights the pressing need for a randomized trial of comanagement to definitively address the effectiveness of these programs.

References

1. Wachter RM, Goldman L. Zero to 50,000 — the 20th anniversary of the hospitalist. N Engl J Med. 2016;375(11):1009-1011. https://doi.org/10.1056/NEJMp1607958
2. Hinami K, Whelan CT, Miller JA, Wolosin RJ, Wetterneck TB; Society of Hospital Medicine Career Satisfaction Task Force. Job characteristics, satisfaction, and burnout across hospitalist practice models. J Hosp Med. 2012;7(5):402-410. https://doi.org/10.1002/jhm.1907
3. Soong C, Eddy Fan, Eric E Howell, et al. Characteristics of hospitalists and hospitalist programs in the United States and Canada. J Clin Outcomes Manag . 2009;16(2):69
4. Siegal EM. Just because you can, doesn’t mean that you should: a call for the rational application of hospitalist comanagement. J Hosp Med. 2008;3(5):398-402. https://doi.org/10.1002/jhm.361
5. Swart E, Vasudeva E, Makhni EC, Macaulay W, Bozic KJ. Dedicated perioperative hip fracture comanagement programs are cost-effective in high-volume centers: an economic analysis. Clin Orthop Relat Res. 2016;474(1):222-233. https://doi.org/10.1007/s11999-015-4494-4
6. Bracey DN, Kiymaz TC, Holst DC, et al. An orthopedic-hospitalist comanaged hip fracture service reduces inpatient length of stay. Geriatr Orthop Surg Rehabil. 2016;7(4):171-177. https://doi.org/10.1177/2151458516661383.
7. Soong C, Cram P, Chezar K, et al. Impact of an integrated hip fracture inpatient program on length of stay and costs. J Orthop Trauma. 2016;30(12):647-652. https://doi.org/10.1097/BOT.0000000000000691
8. Grigoryan KV, Javedan H, Rudolph JL. Ortho-geriatric care models and outcomes in hip fracture patients: a systematic review and meta-analysis. J Orthop Trauma. 2014;28(3):e49-e55. https://doi.org/10.1097/BOT.0b013e3182a5a045
9. Vidán M, Serra JA, Moreno C, Riquelme G, Ortiz J. Efficacy of a comprehensive geriatric intervention in older patients hospitalized for hip fracture: a randomized, controlled trial. J Am Geriatr Soc. 2005;53(9):1476-1482. https://doi.org/10.1111/j.1532-5415.2005.53466.x
10. Gregersen M, Mørch MM, Hougaard K, Damsgaard EM. Geriatric intervention in elderly patients with hip fracture in an orthopedic ward. J Inj Violence Res. 2012;4(2):45-51. https://doi.org/10.5249/jivr.v4i2.96
11. Southern WN, Berger MA, Bellin EY, Hailpern SM, Arnsten JH. Hospitalist care and length of stay in patients requiring complex discharge planning and close clinical monitoring. Arch Intern Med. 2007;167(17):1869-1874. http://doi.org/10.1001/archinte.167.17.1869
12. Maxwell B, Mirza A. Medical comanagement of hip fracture patients is not associated with superior perioperative outcomes: A propensity score matched retrospective cohort analysis of the national surgical quality improvement project. J Hosp Med. 2020;15:468-474. http://doi.org/10.12788/jhm.3343
13. Cohen ME, Ko CY, Bilimoria KY, et al. Optimizing ACS NSQIP modeling for evaluation of surgical quality and risk: patient risk adjustment, procedure mix adjustment, shrinkage adjustment, and surgical focus. J Am Coll Surg. 2013;217(2):336–46.e1. https://doi.org/10.1016/j.jamcollsurg.2013.02.027
14. Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res. 2011;46(3):399–424. https://doi.org/10.1080/00273171.2011.568786

Article PDF
Author and Disclosure Information

1Department of Medicine, University of Toronto, Toronto, Canada; 2Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada; 3Division of General Internal Medicine and Geriatrics, Sinai Health System, Toronto, Canada; 4Division of General Internal Medicine and Geriatrics, University Health Network, Toronto, Canada.

Disclosures

Dr Cram holds funding from the US National Institutes of Health. Dr Vincent has nothing to disclose.

Issue
Journal of Hospital Medicine 15(8)
Publications
Topics
Page Number
510-511
Sections
Author and Disclosure Information

1Department of Medicine, University of Toronto, Toronto, Canada; 2Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada; 3Division of General Internal Medicine and Geriatrics, Sinai Health System, Toronto, Canada; 4Division of General Internal Medicine and Geriatrics, University Health Network, Toronto, Canada.

Disclosures

Dr Cram holds funding from the US National Institutes of Health. Dr Vincent has nothing to disclose.

Author and Disclosure Information

1Department of Medicine, University of Toronto, Toronto, Canada; 2Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada; 3Division of General Internal Medicine and Geriatrics, Sinai Health System, Toronto, Canada; 4Division of General Internal Medicine and Geriatrics, University Health Network, Toronto, Canada.

Disclosures

Dr Cram holds funding from the US National Institutes of Health. Dr Vincent has nothing to disclose.

Article PDF
Article PDF
Related Articles

The growth in the hospitalist workforce has been one of the major trends shaping US (and international) inpatient medicine over the last 25 years.1 Hospitalists’ clinical work is typically split among serving as the primary attending for admitted patients (termed “most responsible physician,” or MRP, in Canada), outpatient clinics, medical consults, and comanagement.2,3 Comanagement typically involves the cooperative efforts of hospitalists and subspecialists ranging from general surgery to orthopedics to medical oncology. Comanagement differs from typical medical consultation because comanaging hospitalists are commonly given broad discretion to directly write orders, manage intercurrent medical illness (eg, hyperglycemia), and even discharge patients from the hospital when appropriate. There can be significant heterogeneity in how comanagement is implemented across institutions.4

With respect to hip fractures, literature suggests that subspecialists value comanagement and that comanagement is associated with reductions in hospital length of stay, timelier surgical repair, and potential cost savings for hospitals.5-7 Some studies have found reductions in in-hospital and 1-year mortality (including one meta-analysis on ortho-geriatric comanagement)8 and complications,9 but others have found no such benefits.10,11

In the current issue of the Journal of Hospital Medicine, Maxwell and Mirza used data from the National Surgical Quality Improvement Program (NSQIP) Participant Use Data File (PUF)—specifically, from the Hip Fracture PUF—to investigate the relationship between comanagement and mortality and major morbidity among more than 15,000 patients hospitalized with hip fracture.12 The investigators did not find that comanagement was associated with a reduction in either morbidity or mortality.

Several factors give gravitas to their analysis. First, the NSQIP PUF is an extremely rigorous data source for evaluating surgical outcomes. Originally developed in the US Veterans Health Administration in the 1980’s to standardize data elements needed for quality improvement and hospital benchmarking, today NSQIP involves more than 600 hospitals in 9 different countries submitting hundreds of thousands of cases annually.13 Second, the authors recognized that the comanagement and noncomanagement groups differed substantially and used propensity score matching in an effort to account for these differences. Surprisingly, they found that the comanagement had significantly higher mortality and morbidity than the noncomanagement group, even after propensity score matching.

These results are important in testing the assumption of the inherent “good” of comanagement. Does this study provide definitive evidence that surgical comanagement does not improve outcomes? We would suggest that this study be interpreted in light of certain considerations.

First, comanagement is a broad term including a variety of operationalizations, such as geriatrician vs hospitalist comanagement, involvement before vs after surgery, and varying divisions of responsibility between the surgical and medical services. Research indicates that successful comanagement models tend to incorporate multidisciplinary teams, embrace the “dual primary caregiver” nature of comanagement, and shared goals among primary caregivers, specifically anticipating prevention of complications.5 The NSQIP data do not provide sufficient granularity to allow for investigation of these crucial nuances that may ultimately determine whether comanagement programs are effective. Additionally, comanagement often (but not always) coexists with a care pathway, and so deficiencies in or absence of a care pathway add additional heterogeneity to the comanagement group which is not captured in the NSQIP PUF.

Second, it is important to consider the potential for unmeasured confounding. The propensity score matching did seem to achieve balance in the distribution of most baseline variables between the comanagement and noncomanagement groups, though differences remain for certain covariates. A key assumption in propensity score matching (and in observational research more broadly) is the principle of “no unmeasured confounders” (ie, the assumption that all variables that might influence treatment assignment and outcomes are measured).14 For the NSQIP PUF this absence of unmeasured confounders is clearly not the case because hospital and surgeon variables are omitted from the PUF for reasons of confidentiality. Inclusion of hospital and surgeon variables could well be important because outcomes may vary by hospital or by surgeon, and simultaneously, different hospitals and different surgeons will have different protocols and preferences regarding comanagement. Furthermore, confounding is virtually guaranteed to the extent that hospitals and surgeons do not randomly assign hip fracture patients to comanagement or usual care. The finding of higher mortality in the comanagement group, even after adjustment and matching, suggests the presence of residual confounding. Even if residual confounding is the explanation for the worse outcomes observed in the comanagement group, the finding of a lack of benefit of comanagement is noteworthy and should not be dismissed out of hand.

Limitations aside, these results suggest a need for humility among strong proponents of comanagement, at least in the hip fracture population. While it may still be reasonable to claim that comanagement improves efficiency and may enhance certain aspects of patient or physician satisfaction, the lack of an impact on mortality highlights a need to examine the benefits of these programs more carefully. From a clinical perspective, hospitalists and orthopedic surgeons should consider which hip fracture patients might be most likely to benefit from comanagement.4 From a research perspective, the current study highlights the pressing need for a randomized trial of comanagement to definitively address the effectiveness of these programs.

The growth in the hospitalist workforce has been one of the major trends shaping US (and international) inpatient medicine over the last 25 years.1 Hospitalists’ clinical work is typically split among serving as the primary attending for admitted patients (termed “most responsible physician,” or MRP, in Canada), outpatient clinics, medical consults, and comanagement.2,3 Comanagement typically involves the cooperative efforts of hospitalists and subspecialists ranging from general surgery to orthopedics to medical oncology. Comanagement differs from typical medical consultation because comanaging hospitalists are commonly given broad discretion to directly write orders, manage intercurrent medical illness (eg, hyperglycemia), and even discharge patients from the hospital when appropriate. There can be significant heterogeneity in how comanagement is implemented across institutions.4

With respect to hip fractures, literature suggests that subspecialists value comanagement and that comanagement is associated with reductions in hospital length of stay, timelier surgical repair, and potential cost savings for hospitals.5-7 Some studies have found reductions in in-hospital and 1-year mortality (including one meta-analysis on ortho-geriatric comanagement)8 and complications,9 but others have found no such benefits.10,11

In the current issue of the Journal of Hospital Medicine, Maxwell and Mirza used data from the National Surgical Quality Improvement Program (NSQIP) Participant Use Data File (PUF)—specifically, from the Hip Fracture PUF—to investigate the relationship between comanagement and mortality and major morbidity among more than 15,000 patients hospitalized with hip fracture.12 The investigators did not find that comanagement was associated with a reduction in either morbidity or mortality.

Several factors give gravitas to their analysis. First, the NSQIP PUF is an extremely rigorous data source for evaluating surgical outcomes. Originally developed in the US Veterans Health Administration in the 1980’s to standardize data elements needed for quality improvement and hospital benchmarking, today NSQIP involves more than 600 hospitals in 9 different countries submitting hundreds of thousands of cases annually.13 Second, the authors recognized that the comanagement and noncomanagement groups differed substantially and used propensity score matching in an effort to account for these differences. Surprisingly, they found that the comanagement had significantly higher mortality and morbidity than the noncomanagement group, even after propensity score matching.

These results are important in testing the assumption of the inherent “good” of comanagement. Does this study provide definitive evidence that surgical comanagement does not improve outcomes? We would suggest that this study be interpreted in light of certain considerations.

First, comanagement is a broad term including a variety of operationalizations, such as geriatrician vs hospitalist comanagement, involvement before vs after surgery, and varying divisions of responsibility between the surgical and medical services. Research indicates that successful comanagement models tend to incorporate multidisciplinary teams, embrace the “dual primary caregiver” nature of comanagement, and shared goals among primary caregivers, specifically anticipating prevention of complications.5 The NSQIP data do not provide sufficient granularity to allow for investigation of these crucial nuances that may ultimately determine whether comanagement programs are effective. Additionally, comanagement often (but not always) coexists with a care pathway, and so deficiencies in or absence of a care pathway add additional heterogeneity to the comanagement group which is not captured in the NSQIP PUF.

Second, it is important to consider the potential for unmeasured confounding. The propensity score matching did seem to achieve balance in the distribution of most baseline variables between the comanagement and noncomanagement groups, though differences remain for certain covariates. A key assumption in propensity score matching (and in observational research more broadly) is the principle of “no unmeasured confounders” (ie, the assumption that all variables that might influence treatment assignment and outcomes are measured).14 For the NSQIP PUF this absence of unmeasured confounders is clearly not the case because hospital and surgeon variables are omitted from the PUF for reasons of confidentiality. Inclusion of hospital and surgeon variables could well be important because outcomes may vary by hospital or by surgeon, and simultaneously, different hospitals and different surgeons will have different protocols and preferences regarding comanagement. Furthermore, confounding is virtually guaranteed to the extent that hospitals and surgeons do not randomly assign hip fracture patients to comanagement or usual care. The finding of higher mortality in the comanagement group, even after adjustment and matching, suggests the presence of residual confounding. Even if residual confounding is the explanation for the worse outcomes observed in the comanagement group, the finding of a lack of benefit of comanagement is noteworthy and should not be dismissed out of hand.

Limitations aside, these results suggest a need for humility among strong proponents of comanagement, at least in the hip fracture population. While it may still be reasonable to claim that comanagement improves efficiency and may enhance certain aspects of patient or physician satisfaction, the lack of an impact on mortality highlights a need to examine the benefits of these programs more carefully. From a clinical perspective, hospitalists and orthopedic surgeons should consider which hip fracture patients might be most likely to benefit from comanagement.4 From a research perspective, the current study highlights the pressing need for a randomized trial of comanagement to definitively address the effectiveness of these programs.

References

1. Wachter RM, Goldman L. Zero to 50,000 — the 20th anniversary of the hospitalist. N Engl J Med. 2016;375(11):1009-1011. https://doi.org/10.1056/NEJMp1607958
2. Hinami K, Whelan CT, Miller JA, Wolosin RJ, Wetterneck TB; Society of Hospital Medicine Career Satisfaction Task Force. Job characteristics, satisfaction, and burnout across hospitalist practice models. J Hosp Med. 2012;7(5):402-410. https://doi.org/10.1002/jhm.1907
3. Soong C, Eddy Fan, Eric E Howell, et al. Characteristics of hospitalists and hospitalist programs in the United States and Canada. J Clin Outcomes Manag . 2009;16(2):69
4. Siegal EM. Just because you can, doesn’t mean that you should: a call for the rational application of hospitalist comanagement. J Hosp Med. 2008;3(5):398-402. https://doi.org/10.1002/jhm.361
5. Swart E, Vasudeva E, Makhni EC, Macaulay W, Bozic KJ. Dedicated perioperative hip fracture comanagement programs are cost-effective in high-volume centers: an economic analysis. Clin Orthop Relat Res. 2016;474(1):222-233. https://doi.org/10.1007/s11999-015-4494-4
6. Bracey DN, Kiymaz TC, Holst DC, et al. An orthopedic-hospitalist comanaged hip fracture service reduces inpatient length of stay. Geriatr Orthop Surg Rehabil. 2016;7(4):171-177. https://doi.org/10.1177/2151458516661383.
7. Soong C, Cram P, Chezar K, et al. Impact of an integrated hip fracture inpatient program on length of stay and costs. J Orthop Trauma. 2016;30(12):647-652. https://doi.org/10.1097/BOT.0000000000000691
8. Grigoryan KV, Javedan H, Rudolph JL. Ortho-geriatric care models and outcomes in hip fracture patients: a systematic review and meta-analysis. J Orthop Trauma. 2014;28(3):e49-e55. https://doi.org/10.1097/BOT.0b013e3182a5a045
9. Vidán M, Serra JA, Moreno C, Riquelme G, Ortiz J. Efficacy of a comprehensive geriatric intervention in older patients hospitalized for hip fracture: a randomized, controlled trial. J Am Geriatr Soc. 2005;53(9):1476-1482. https://doi.org/10.1111/j.1532-5415.2005.53466.x
10. Gregersen M, Mørch MM, Hougaard K, Damsgaard EM. Geriatric intervention in elderly patients with hip fracture in an orthopedic ward. J Inj Violence Res. 2012;4(2):45-51. https://doi.org/10.5249/jivr.v4i2.96
11. Southern WN, Berger MA, Bellin EY, Hailpern SM, Arnsten JH. Hospitalist care and length of stay in patients requiring complex discharge planning and close clinical monitoring. Arch Intern Med. 2007;167(17):1869-1874. http://doi.org/10.1001/archinte.167.17.1869
12. Maxwell B, Mirza A. Medical comanagement of hip fracture patients is not associated with superior perioperative outcomes: A propensity score matched retrospective cohort analysis of the national surgical quality improvement project. J Hosp Med. 2020;15:468-474. http://doi.org/10.12788/jhm.3343
13. Cohen ME, Ko CY, Bilimoria KY, et al. Optimizing ACS NSQIP modeling for evaluation of surgical quality and risk: patient risk adjustment, procedure mix adjustment, shrinkage adjustment, and surgical focus. J Am Coll Surg. 2013;217(2):336–46.e1. https://doi.org/10.1016/j.jamcollsurg.2013.02.027
14. Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res. 2011;46(3):399–424. https://doi.org/10.1080/00273171.2011.568786

References

1. Wachter RM, Goldman L. Zero to 50,000 — the 20th anniversary of the hospitalist. N Engl J Med. 2016;375(11):1009-1011. https://doi.org/10.1056/NEJMp1607958
2. Hinami K, Whelan CT, Miller JA, Wolosin RJ, Wetterneck TB; Society of Hospital Medicine Career Satisfaction Task Force. Job characteristics, satisfaction, and burnout across hospitalist practice models. J Hosp Med. 2012;7(5):402-410. https://doi.org/10.1002/jhm.1907
3. Soong C, Eddy Fan, Eric E Howell, et al. Characteristics of hospitalists and hospitalist programs in the United States and Canada. J Clin Outcomes Manag . 2009;16(2):69
4. Siegal EM. Just because you can, doesn’t mean that you should: a call for the rational application of hospitalist comanagement. J Hosp Med. 2008;3(5):398-402. https://doi.org/10.1002/jhm.361
5. Swart E, Vasudeva E, Makhni EC, Macaulay W, Bozic KJ. Dedicated perioperative hip fracture comanagement programs are cost-effective in high-volume centers: an economic analysis. Clin Orthop Relat Res. 2016;474(1):222-233. https://doi.org/10.1007/s11999-015-4494-4
6. Bracey DN, Kiymaz TC, Holst DC, et al. An orthopedic-hospitalist comanaged hip fracture service reduces inpatient length of stay. Geriatr Orthop Surg Rehabil. 2016;7(4):171-177. https://doi.org/10.1177/2151458516661383.
7. Soong C, Cram P, Chezar K, et al. Impact of an integrated hip fracture inpatient program on length of stay and costs. J Orthop Trauma. 2016;30(12):647-652. https://doi.org/10.1097/BOT.0000000000000691
8. Grigoryan KV, Javedan H, Rudolph JL. Ortho-geriatric care models and outcomes in hip fracture patients: a systematic review and meta-analysis. J Orthop Trauma. 2014;28(3):e49-e55. https://doi.org/10.1097/BOT.0b013e3182a5a045
9. Vidán M, Serra JA, Moreno C, Riquelme G, Ortiz J. Efficacy of a comprehensive geriatric intervention in older patients hospitalized for hip fracture: a randomized, controlled trial. J Am Geriatr Soc. 2005;53(9):1476-1482. https://doi.org/10.1111/j.1532-5415.2005.53466.x
10. Gregersen M, Mørch MM, Hougaard K, Damsgaard EM. Geriatric intervention in elderly patients with hip fracture in an orthopedic ward. J Inj Violence Res. 2012;4(2):45-51. https://doi.org/10.5249/jivr.v4i2.96
11. Southern WN, Berger MA, Bellin EY, Hailpern SM, Arnsten JH. Hospitalist care and length of stay in patients requiring complex discharge planning and close clinical monitoring. Arch Intern Med. 2007;167(17):1869-1874. http://doi.org/10.1001/archinte.167.17.1869
12. Maxwell B, Mirza A. Medical comanagement of hip fracture patients is not associated with superior perioperative outcomes: A propensity score matched retrospective cohort analysis of the national surgical quality improvement project. J Hosp Med. 2020;15:468-474. http://doi.org/10.12788/jhm.3343
13. Cohen ME, Ko CY, Bilimoria KY, et al. Optimizing ACS NSQIP modeling for evaluation of surgical quality and risk: patient risk adjustment, procedure mix adjustment, shrinkage adjustment, and surgical focus. J Am Coll Surg. 2013;217(2):336–46.e1. https://doi.org/10.1016/j.jamcollsurg.2013.02.027
14. Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res. 2011;46(3):399–424. https://doi.org/10.1080/00273171.2011.568786

Issue
Journal of Hospital Medicine 15(8)
Issue
Journal of Hospital Medicine 15(8)
Page Number
510-511
Page Number
510-511
Publications
Publications
Topics
Article Type
Sections
Article Source

© 2020 Society of Hospital Medicine

Disallow All Ads
Correspondence Location
Peter Cram, MD, MBA; Email: peter.cram@uhn.ca; Telephone: 647-767-5508; Twitter: @pmcram.
Content Gating
Gated (full article locked unless allowed per User)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Gating Strategy
First Peek Free
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
Article PDF Media

Myocardial Injury Among Postoperative Patients: Where Is the Wisdom in Our Knowledge?

Article Type
Changed
Thu, 04/01/2021 - 12:02

The ability to detect myocardial injury has never been more advanced. With the availability of high-­sensitivity troponin testing, microscopic evidence of myocyte death can now be detected, often within an hour or so of the inciting event. This, in turn, has facilitated quicker and more accurate identification and treatment of affected patients. However, these advances in detection have, in some cases, outstripped our understanding of the etiology and appropriate management of troponin elevation.

This dilemma is particularly apparent among patients undergoing noncardiac surgery. Annually, over 200 million of these surgeries occur worldwide, many in patients with elevated cardiac risk or overt cardiac disease. Naturally, physicians treating these patients are concerned that the stress of surgery will provoke myocardial injury. Since symptoms are often masked in the immediate postoperative period because of sedating or analgesic medications, many physicians rely on troponin testing to detect signs of myocardial injury. With the increased sensitivity of these assays, the prevalence of troponin elevation has increased, which currently affects nearly one in five postoperative patients. This knowledge, however, doesn’t lend itself to a clear management strategy, particularly in those patients with no other objective evidence of infarction. To paraphrase T.S. Eliot, have we lost the wisdom in our knowledge?

In this journal issue, Cohn and colleagues summarize the current information around this phenomenon of myocardial injury after noncardiac surgery, or MINS.1 Consistent with the literature, they define MINS as an acute rise and/or fall in troponin (above the assay’s upper limit of normal) at any point in the 30 days following noncardiac surgery. Importantly, MINS is an umbrella term that can indicate either a myocardial infarction (MI) or nonischemic myocardial injury (NIMI). An MI exists if there are clinical signs of ischemia and/or objective evidence of infarction on imaging.

The authors found that MINS is highly prevalent (19.6%) and associated with both cardiac disease and perioperative hemodynamic stress. Between 2.9% and 13.5% of MINS patients experienced 30-day adverse cardiac events, with higher rates in patients with higher troponin elevations and/or accompanying ischemic symptoms. The authors suggested MINS management with standard cardio-protective medications, such as statins, beta-blockers, and angiotensin-converting enzyme inhibitors, or angiotensin receptor blockers. For those patients at low bleeding risk, they also suggested dabigatran based on the recent MANAGE trial. Finally, they noted that US cardiac society guidelines suggested no screening for MINS, while the European and Canadian guidelines advocated for screening in patients at high risk for cardiac complications.

The authors are to be congratulated for highlighting an important and vexing area of postoperative management. To date, it has been difficult to chart the best path forward for these patients because we could “see” the issue, thanks to increasingly sensitive troponin assays, but we didn’t know what to do once we found it.

So what rationale exists to justify screening? Some advocate that the presence of MINS suggests a need for further imaging and closer monitoring of these patients to identify those with an MI. Indeed, several recent MINS registry studies have found that 20% to 40% of MINS patients had definitive evidence of MI.2-4 But what about those patients with troponin elevation and no evidence of MI? A small, propensity-matched, observational study of MINS patients, including those without MI, noted positive associations between cardioprotective medications, such as aspirin and statins, and cardiac outcomes.5 In addition, the MANAGE trial suggested that MINS patients, with or without evidence of an MI, receiving dabigatran had reduced vascular events without increased bleeding complications.6 With this growing base of evidence, the rationale for systematic screening for MINS appears to be standing on stronger footing.

As noted by the authors, the recommendations for MINS screening differ across three major cardiovascular societies. How does the practicing clinician make sense of this discordant advice? Differences often occur when the evidence is of moderate or low quality, which means guideline committees must make their own interpretations of equivocal findings. Another driver of discordant recommendations is the timing of the guidelines. Both the US and European guidelines were published in 2014, while the Canadian guidelines were published in 2017. Over time, experience with postoperative troponin testing increased, which may have influenced the Canadian guidelines. Finally, many members of the Canadian guideline writing committee were the ones conducting the various studies identifying management options for MINS patients, which may have guided their ultimate recommendation. Regardless, practicing physicians should collectively view the guidelines as acceptable “guardrails” to guide their practice. Selection of the appropriate strategy can then be tailored to the individual patient’s risks and benefits, as well as available management options.

In this era of high-sensitivity troponin testing, we now possess an exquisite opportunity to “see” minute levels of myocardial injury among postoperative patients. Our growing ability to effectively act on this knowledge will enable us to make wise decisions with our patients to optimize their cardiac outcomes during the vulnerable postoperative period.

References

1. Cohn SL, Rohatgi N, Patel P, Whinney C. Clinical progress note: myocardial injury after noncardiac surgery. J Hosp Med. 2020;15(7):412-415. https://doi.org/10.12788/jhm.3448
2. Puelacher C, Lurati Buse G, Seeberger D, et al. Perioperative myocardial injury after noncardiac surgery: incidence, mortality, and characterization. Circulation. 2018;137(12):1221-1232. https://doi.org/10.1161/circulationaha.117.030114.
3. Botto F, Alonso-Coello P, Chan MTV, et al. Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30-day outcomes. Anesthesiology. 2014;120(3):564-578. https://doi.org/10.1097/aln.0000000000000113
4. Writing Committee for the VISION Study Investigators, Devereaux PJ, Biccard BM, et al. Association of postoperative high-sensitivity troponin levels with myocardial injury and 30-day mortality among patients undergoing noncardiac surgery. JAMA. 2017;317(16):1642-1651. https://doi.org/10.1001/jama.2017.4360
5. Foucrier A, Rodseth R, Aissaoui M, et al. The long-term impact of early cardiovascular therapy intensification for postoperative troponin elevation after major vascular surgery. Anesth Analg. 2014;119(5):1053-1063. https://doi.org/10.1213/ane.0000000000000302
6. Devereaux PJ, Duceppe E, Guyatt G, et al. Dabigatran in patients with myocardial injury after non-cardiac surgery (MANAGE): an international, randomised, placebo-controlled trial. Lancet. 2018;391(10137):2325-2334. https://doi.org/10.1016/s0140-6736(18)30832-8

Article PDF
Author and Disclosure Information

Division of Cardiology, Washington University School of Medicine, St. Louis, Missouri; Healthcare Innovation Lab, BJC HealthCare/Washington University School of Medicine, St. Louis, Missouri.

Disclosures

Dr Maddox disclosed current grant funding from the National Institutes of Health National Center for Advancing Translational Sciences (1U24TR002306-01: A National Center for Digital Health Informatics Innovation), current consulting for Creative Educational Concepts, Inc., and Atheneum Partners, and honoraria and/or expense reimbursement in the past 3 years from the University of Utah (May 2017), New York Presbyterian (September 2017), Westchester Medical Center (October 2017), Sentara Heart Hospital (Dec 2018), the Henry Ford Health System (March 2019), and the University of California San Diego (January 2020). He is currently employed as a cardiologist and the executive director of the Healthcare Innovation Lab at BJC HealthCare/Washington University School of Medicine. In this capacity, he is advising Myia Labs, for which his employer is receiving equity compensation in the company. He is receiving no individual compensation from the company. He is also a compensated director for a New Mexico–based foundation, the J.F. Maddox Foundation.

Issue
Journal of Hospital Medicine 15(7)
Publications
Topics
Page Number
447-448
Sections
Author and Disclosure Information

Division of Cardiology, Washington University School of Medicine, St. Louis, Missouri; Healthcare Innovation Lab, BJC HealthCare/Washington University School of Medicine, St. Louis, Missouri.

Disclosures

Dr Maddox disclosed current grant funding from the National Institutes of Health National Center for Advancing Translational Sciences (1U24TR002306-01: A National Center for Digital Health Informatics Innovation), current consulting for Creative Educational Concepts, Inc., and Atheneum Partners, and honoraria and/or expense reimbursement in the past 3 years from the University of Utah (May 2017), New York Presbyterian (September 2017), Westchester Medical Center (October 2017), Sentara Heart Hospital (Dec 2018), the Henry Ford Health System (March 2019), and the University of California San Diego (January 2020). He is currently employed as a cardiologist and the executive director of the Healthcare Innovation Lab at BJC HealthCare/Washington University School of Medicine. In this capacity, he is advising Myia Labs, for which his employer is receiving equity compensation in the company. He is receiving no individual compensation from the company. He is also a compensated director for a New Mexico–based foundation, the J.F. Maddox Foundation.

Author and Disclosure Information

Division of Cardiology, Washington University School of Medicine, St. Louis, Missouri; Healthcare Innovation Lab, BJC HealthCare/Washington University School of Medicine, St. Louis, Missouri.

Disclosures

Dr Maddox disclosed current grant funding from the National Institutes of Health National Center for Advancing Translational Sciences (1U24TR002306-01: A National Center for Digital Health Informatics Innovation), current consulting for Creative Educational Concepts, Inc., and Atheneum Partners, and honoraria and/or expense reimbursement in the past 3 years from the University of Utah (May 2017), New York Presbyterian (September 2017), Westchester Medical Center (October 2017), Sentara Heart Hospital (Dec 2018), the Henry Ford Health System (March 2019), and the University of California San Diego (January 2020). He is currently employed as a cardiologist and the executive director of the Healthcare Innovation Lab at BJC HealthCare/Washington University School of Medicine. In this capacity, he is advising Myia Labs, for which his employer is receiving equity compensation in the company. He is receiving no individual compensation from the company. He is also a compensated director for a New Mexico–based foundation, the J.F. Maddox Foundation.

Article PDF
Article PDF
Related Articles

The ability to detect myocardial injury has never been more advanced. With the availability of high-­sensitivity troponin testing, microscopic evidence of myocyte death can now be detected, often within an hour or so of the inciting event. This, in turn, has facilitated quicker and more accurate identification and treatment of affected patients. However, these advances in detection have, in some cases, outstripped our understanding of the etiology and appropriate management of troponin elevation.

This dilemma is particularly apparent among patients undergoing noncardiac surgery. Annually, over 200 million of these surgeries occur worldwide, many in patients with elevated cardiac risk or overt cardiac disease. Naturally, physicians treating these patients are concerned that the stress of surgery will provoke myocardial injury. Since symptoms are often masked in the immediate postoperative period because of sedating or analgesic medications, many physicians rely on troponin testing to detect signs of myocardial injury. With the increased sensitivity of these assays, the prevalence of troponin elevation has increased, which currently affects nearly one in five postoperative patients. This knowledge, however, doesn’t lend itself to a clear management strategy, particularly in those patients with no other objective evidence of infarction. To paraphrase T.S. Eliot, have we lost the wisdom in our knowledge?

In this journal issue, Cohn and colleagues summarize the current information around this phenomenon of myocardial injury after noncardiac surgery, or MINS.1 Consistent with the literature, they define MINS as an acute rise and/or fall in troponin (above the assay’s upper limit of normal) at any point in the 30 days following noncardiac surgery. Importantly, MINS is an umbrella term that can indicate either a myocardial infarction (MI) or nonischemic myocardial injury (NIMI). An MI exists if there are clinical signs of ischemia and/or objective evidence of infarction on imaging.

The authors found that MINS is highly prevalent (19.6%) and associated with both cardiac disease and perioperative hemodynamic stress. Between 2.9% and 13.5% of MINS patients experienced 30-day adverse cardiac events, with higher rates in patients with higher troponin elevations and/or accompanying ischemic symptoms. The authors suggested MINS management with standard cardio-protective medications, such as statins, beta-blockers, and angiotensin-converting enzyme inhibitors, or angiotensin receptor blockers. For those patients at low bleeding risk, they also suggested dabigatran based on the recent MANAGE trial. Finally, they noted that US cardiac society guidelines suggested no screening for MINS, while the European and Canadian guidelines advocated for screening in patients at high risk for cardiac complications.

The authors are to be congratulated for highlighting an important and vexing area of postoperative management. To date, it has been difficult to chart the best path forward for these patients because we could “see” the issue, thanks to increasingly sensitive troponin assays, but we didn’t know what to do once we found it.

So what rationale exists to justify screening? Some advocate that the presence of MINS suggests a need for further imaging and closer monitoring of these patients to identify those with an MI. Indeed, several recent MINS registry studies have found that 20% to 40% of MINS patients had definitive evidence of MI.2-4 But what about those patients with troponin elevation and no evidence of MI? A small, propensity-matched, observational study of MINS patients, including those without MI, noted positive associations between cardioprotective medications, such as aspirin and statins, and cardiac outcomes.5 In addition, the MANAGE trial suggested that MINS patients, with or without evidence of an MI, receiving dabigatran had reduced vascular events without increased bleeding complications.6 With this growing base of evidence, the rationale for systematic screening for MINS appears to be standing on stronger footing.

As noted by the authors, the recommendations for MINS screening differ across three major cardiovascular societies. How does the practicing clinician make sense of this discordant advice? Differences often occur when the evidence is of moderate or low quality, which means guideline committees must make their own interpretations of equivocal findings. Another driver of discordant recommendations is the timing of the guidelines. Both the US and European guidelines were published in 2014, while the Canadian guidelines were published in 2017. Over time, experience with postoperative troponin testing increased, which may have influenced the Canadian guidelines. Finally, many members of the Canadian guideline writing committee were the ones conducting the various studies identifying management options for MINS patients, which may have guided their ultimate recommendation. Regardless, practicing physicians should collectively view the guidelines as acceptable “guardrails” to guide their practice. Selection of the appropriate strategy can then be tailored to the individual patient’s risks and benefits, as well as available management options.

In this era of high-sensitivity troponin testing, we now possess an exquisite opportunity to “see” minute levels of myocardial injury among postoperative patients. Our growing ability to effectively act on this knowledge will enable us to make wise decisions with our patients to optimize their cardiac outcomes during the vulnerable postoperative period.

The ability to detect myocardial injury has never been more advanced. With the availability of high-­sensitivity troponin testing, microscopic evidence of myocyte death can now be detected, often within an hour or so of the inciting event. This, in turn, has facilitated quicker and more accurate identification and treatment of affected patients. However, these advances in detection have, in some cases, outstripped our understanding of the etiology and appropriate management of troponin elevation.

This dilemma is particularly apparent among patients undergoing noncardiac surgery. Annually, over 200 million of these surgeries occur worldwide, many in patients with elevated cardiac risk or overt cardiac disease. Naturally, physicians treating these patients are concerned that the stress of surgery will provoke myocardial injury. Since symptoms are often masked in the immediate postoperative period because of sedating or analgesic medications, many physicians rely on troponin testing to detect signs of myocardial injury. With the increased sensitivity of these assays, the prevalence of troponin elevation has increased, which currently affects nearly one in five postoperative patients. This knowledge, however, doesn’t lend itself to a clear management strategy, particularly in those patients with no other objective evidence of infarction. To paraphrase T.S. Eliot, have we lost the wisdom in our knowledge?

In this journal issue, Cohn and colleagues summarize the current information around this phenomenon of myocardial injury after noncardiac surgery, or MINS.1 Consistent with the literature, they define MINS as an acute rise and/or fall in troponin (above the assay’s upper limit of normal) at any point in the 30 days following noncardiac surgery. Importantly, MINS is an umbrella term that can indicate either a myocardial infarction (MI) or nonischemic myocardial injury (NIMI). An MI exists if there are clinical signs of ischemia and/or objective evidence of infarction on imaging.

The authors found that MINS is highly prevalent (19.6%) and associated with both cardiac disease and perioperative hemodynamic stress. Between 2.9% and 13.5% of MINS patients experienced 30-day adverse cardiac events, with higher rates in patients with higher troponin elevations and/or accompanying ischemic symptoms. The authors suggested MINS management with standard cardio-protective medications, such as statins, beta-blockers, and angiotensin-converting enzyme inhibitors, or angiotensin receptor blockers. For those patients at low bleeding risk, they also suggested dabigatran based on the recent MANAGE trial. Finally, they noted that US cardiac society guidelines suggested no screening for MINS, while the European and Canadian guidelines advocated for screening in patients at high risk for cardiac complications.

The authors are to be congratulated for highlighting an important and vexing area of postoperative management. To date, it has been difficult to chart the best path forward for these patients because we could “see” the issue, thanks to increasingly sensitive troponin assays, but we didn’t know what to do once we found it.

So what rationale exists to justify screening? Some advocate that the presence of MINS suggests a need for further imaging and closer monitoring of these patients to identify those with an MI. Indeed, several recent MINS registry studies have found that 20% to 40% of MINS patients had definitive evidence of MI.2-4 But what about those patients with troponin elevation and no evidence of MI? A small, propensity-matched, observational study of MINS patients, including those without MI, noted positive associations between cardioprotective medications, such as aspirin and statins, and cardiac outcomes.5 In addition, the MANAGE trial suggested that MINS patients, with or without evidence of an MI, receiving dabigatran had reduced vascular events without increased bleeding complications.6 With this growing base of evidence, the rationale for systematic screening for MINS appears to be standing on stronger footing.

As noted by the authors, the recommendations for MINS screening differ across three major cardiovascular societies. How does the practicing clinician make sense of this discordant advice? Differences often occur when the evidence is of moderate or low quality, which means guideline committees must make their own interpretations of equivocal findings. Another driver of discordant recommendations is the timing of the guidelines. Both the US and European guidelines were published in 2014, while the Canadian guidelines were published in 2017. Over time, experience with postoperative troponin testing increased, which may have influenced the Canadian guidelines. Finally, many members of the Canadian guideline writing committee were the ones conducting the various studies identifying management options for MINS patients, which may have guided their ultimate recommendation. Regardless, practicing physicians should collectively view the guidelines as acceptable “guardrails” to guide their practice. Selection of the appropriate strategy can then be tailored to the individual patient’s risks and benefits, as well as available management options.

In this era of high-sensitivity troponin testing, we now possess an exquisite opportunity to “see” minute levels of myocardial injury among postoperative patients. Our growing ability to effectively act on this knowledge will enable us to make wise decisions with our patients to optimize their cardiac outcomes during the vulnerable postoperative period.

References

1. Cohn SL, Rohatgi N, Patel P, Whinney C. Clinical progress note: myocardial injury after noncardiac surgery. J Hosp Med. 2020;15(7):412-415. https://doi.org/10.12788/jhm.3448
2. Puelacher C, Lurati Buse G, Seeberger D, et al. Perioperative myocardial injury after noncardiac surgery: incidence, mortality, and characterization. Circulation. 2018;137(12):1221-1232. https://doi.org/10.1161/circulationaha.117.030114.
3. Botto F, Alonso-Coello P, Chan MTV, et al. Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30-day outcomes. Anesthesiology. 2014;120(3):564-578. https://doi.org/10.1097/aln.0000000000000113
4. Writing Committee for the VISION Study Investigators, Devereaux PJ, Biccard BM, et al. Association of postoperative high-sensitivity troponin levels with myocardial injury and 30-day mortality among patients undergoing noncardiac surgery. JAMA. 2017;317(16):1642-1651. https://doi.org/10.1001/jama.2017.4360
5. Foucrier A, Rodseth R, Aissaoui M, et al. The long-term impact of early cardiovascular therapy intensification for postoperative troponin elevation after major vascular surgery. Anesth Analg. 2014;119(5):1053-1063. https://doi.org/10.1213/ane.0000000000000302
6. Devereaux PJ, Duceppe E, Guyatt G, et al. Dabigatran in patients with myocardial injury after non-cardiac surgery (MANAGE): an international, randomised, placebo-controlled trial. Lancet. 2018;391(10137):2325-2334. https://doi.org/10.1016/s0140-6736(18)30832-8

References

1. Cohn SL, Rohatgi N, Patel P, Whinney C. Clinical progress note: myocardial injury after noncardiac surgery. J Hosp Med. 2020;15(7):412-415. https://doi.org/10.12788/jhm.3448
2. Puelacher C, Lurati Buse G, Seeberger D, et al. Perioperative myocardial injury after noncardiac surgery: incidence, mortality, and characterization. Circulation. 2018;137(12):1221-1232. https://doi.org/10.1161/circulationaha.117.030114.
3. Botto F, Alonso-Coello P, Chan MTV, et al. Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30-day outcomes. Anesthesiology. 2014;120(3):564-578. https://doi.org/10.1097/aln.0000000000000113
4. Writing Committee for the VISION Study Investigators, Devereaux PJ, Biccard BM, et al. Association of postoperative high-sensitivity troponin levels with myocardial injury and 30-day mortality among patients undergoing noncardiac surgery. JAMA. 2017;317(16):1642-1651. https://doi.org/10.1001/jama.2017.4360
5. Foucrier A, Rodseth R, Aissaoui M, et al. The long-term impact of early cardiovascular therapy intensification for postoperative troponin elevation after major vascular surgery. Anesth Analg. 2014;119(5):1053-1063. https://doi.org/10.1213/ane.0000000000000302
6. Devereaux PJ, Duceppe E, Guyatt G, et al. Dabigatran in patients with myocardial injury after non-cardiac surgery (MANAGE): an international, randomised, placebo-controlled trial. Lancet. 2018;391(10137):2325-2334. https://doi.org/10.1016/s0140-6736(18)30832-8

Issue
Journal of Hospital Medicine 15(7)
Issue
Journal of Hospital Medicine 15(7)
Page Number
447-448
Page Number
447-448
Publications
Publications
Topics
Article Type
Sections
Article Source

© 2020 Society of Hospital Medicine

Disallow All Ads
Correspondence Location
Thomas M Maddox, MD, MSc; Email: tmaddox@wustl.edu; Telephone: 314-273-0174; Twitter: @medtmaddox.
Content Gating
Gated (full article locked unless allowed per User)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Gating Strategy
First Peek Free
Medscape Article
Display survey writer
Reuters content
Article PDF Media

Aspiring to Treat Wisely: Challenges in Diagnosing and Optimizing Antibiotic Therapy for Aspiration Pneumonia

Article Type
Changed
Thu, 04/01/2021 - 12:03

In this issue of the Journal of Hospital Medicine, Dr. Thomson and colleagues present an analysis of 4,700 hospitalizations in the Pediatric Health Information System (PHIS) database to compare the effectiveness of different antibiotic regimens for children with neurological impairment and aspiration pneumonia.1 After adjusting for potential confounders, including illness severity markers and demographic factors, they observed that receiving anaerobic coverage was associated with improvements in rates of acute respiratory failure, intensive care unit (ICU) transfer frequency, and length of stay. Given that the authors used an administrative database, several considerations limit the generalizability of the current study. These limitations include that only patients hospitalized at freestanding children’s hospitals were included, the incomplete ability to assess illness severity, and the absence of validated clinical criteria for the diagnosis of aspiration pneumonia. Despite the limitations of a retrospective study using administrative data, the authors should be commended for their rigorous analyses and for their important contribution to the care of this understudied population.

Optimizing appropriate antibiotic therapy for children with suspected aspiration pneumonia is challenging for several reasons. First, previous epidemiological studies demonstrated that viruses cause most pediatric community-acquired pneumonia2; however, we lack tools to identify patients who do not require antibiotic therapy. Second, current clinical guidelines on community-acquired pneumonia do not address aspiration pneumonia diagnosis and management.3 Similar to community-acquired pneumonia, aspiration pneumonia is a clinical diagnosis supported by patient history and laboratory and radiographic data. Given the lack of a gold standard, diagnosis of aspiration pneumonia is difficult to confirm. Previous studies using the PHIS database have demonstrated that, compared with children with nonaspiration pneumonia, those with aspiration pneumonia International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes feature higher rates of mortality, ICU-level care, and 30-day readmission rates.4,5 However, in these studies, patients with an ICD-9-CM code for aspiration pneumonia were also more medically complex, with a higher number of complex chronic conditions and rates of technology use. Lastly, aspiration pneumonia is occasionally synonymous with pneumonia in medically complex patients, which leads to the increased exposure to broad-­spectrum antibiotics. The exposure to broad-spectrum antibiotics causes complications, such as Clostridioides difficile infection and potential antibiotic resistance in a patient population that already experiences significant antibiotic exposure.

Growing concerns about antibiotic overuse and the declining prevalence of anaerobic isolates among adult pneumonia patients recently prompted the Infectious Diseases Society of America (IDSA) and the American Thoracic Society (ATS) to discourage routine anaerobic coverage among adults with suspected aspiration pneumonia and no abscess or empyema.6 These guidelines overturn years of habit for most adult hospitalists, although the IDSA and ATS acknowledge the extremely low quality of evidence informing the recommendation. Thus, the dilemma is whether the IDSA/ATS guidelines should be reconciled with the conclusions of Thomson et al. The answer is “not necessarily.” Fundamentally, different causes of neurological impairment, such as dementia and stroke, afflict elderly adults with aspiration pneumonia along with important differences in physiological and microbiological exposures. Instead, adult and pediatric hospitalists can find common ground around the shared uncertainty and variability in diagnosing aspiration pneumonia and the need for more credible evidence. Unfortunately, wide variation in diagnosis and coding practices might complicate the efforts to reproduce Thomson’s rigorous retrospective cohort study in large adult databases7 given that Medicare-quality comparison programs may have inadvertently encouraged changes in coding behaviors during the last decade. Attributing pneumonia cases to aspiration removed high-risk patients from reporting cohorts, thus improving a hospital’s apparent mortality rate for community-acquired pneumonia. Although the United States Centers for Medicare & Medicaid Services amended rules in 2017 to address this concern, years of overdiagnosis of aspiration pneumonia possibly biased adult administrative data sets.

Although the association between the use of anaerobic antibiotic coverage and improved pediatric outcomes is promising, these results also point out the need for rigorous prospective studies to improve the evidence base for the diagnosis and treatment of suspected aspiration pneumonia in hospitalized patients of all ages. Given the heterogeneity in the use of aspiration pneumonia diagnoses, foundational work might include assessing the factors that influence clinicians in deciding on the diagnosis of aspiration pneumonia (versus community-­acquired pneumonia). On the patient side, parallel trials may start with multicenter, prospective cohort studies to gain insights into the demographic, clinical, and laboratory factors that are associated with the diagnosis of aspiration pneumonia. This research direction may lead to the development and standardization of diagnostic criteria for aspiration pneumonia. Ultimately, prospective randomized controlled trials are needed to assess the comparative effectiveness of different antibiotic choices on clinical outcomes.

References

1. Thomson J, Hall M, Ambroggio L, et al. Antibiotics for aspiration pneumonia in neurologically impaired children. J Hosp Med. 2020;15(7):395-402. https://doi.org/10.12788/jhm.3338
2. Jain S, Williams DJ, Arnold SR, et al. Community-acquired pneumonia requiring hospitalization among U.S. children. N Engl J Med. 2015;372(9):835-845. https://doi.org/10.1056/NEJMoa1405870
3. Bradley JS, Byington CL, Shah SS, et al. The management of community-acquired pneumonia in infants and children older than 3 months of age: clinical practice guidelines by the Pediatric Infectious Diseases Society and the Infectious Diseases Society of America. Clin Infect Dis. 2011;53(7):e25-76. https://doi.org/10.1093/cid/cir531
4. Hirsch AW, Monuteaux MC, Fruchtman G, Bachur RG, Neuman MI. Characteristics of children hospitalized with aspiration pneumonia. Hosp Pediatr. 2016;6(11):659-666. https://doi.org/10.1542/hpeds.2016-0064
5. Thomson J, Hall M, Ambroggio L, et al. Aspiration and non-aspiration pneumonia in hospitalized children with neurologic impairment. Pediatrics. 2016;137(2):1-10. https://doi.org/10.1542/peds.2015-1612
6. Metlay JP, Waterer GW, Long AC, et al. Diagnosis and treatment of adults with community-acquired pneumonia. An official clinical practice guideline of the American Thoracic Society and Infectious Diseases Society of America. Am J Respir Crit Care Med. 2019;200(7):e45-e67. https://doi.org/10.1164/rccm.201908-1581ST
7. Lindenauer PK, Strait KM, Grady JN, et al. Variation in the diagnosis of aspiration pneumonia and association with hospital pneumonia outcomes. Ann Am Thorac Soc. 2018;15(5):562-569. https://doi.org/10.1513/AnnalsATS.201709-728OC

Article PDF
Author and Disclosure Information

1Division of Hospital Medicine, Children’s Hospital Los Angeles, Los Angeles, California; 2Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California; 3Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, Washington.

Disclosures

The authors have nothing to disclose.

Issue
Journal of Hospital Medicine 15(7)
Publications
Topics
Page Number
445-446
Sections
Author and Disclosure Information

1Division of Hospital Medicine, Children’s Hospital Los Angeles, Los Angeles, California; 2Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California; 3Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, Washington.

Disclosures

The authors have nothing to disclose.

Author and Disclosure Information

1Division of Hospital Medicine, Children’s Hospital Los Angeles, Los Angeles, California; 2Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California; 3Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, Washington.

Disclosures

The authors have nothing to disclose.

Article PDF
Article PDF
Related Articles

In this issue of the Journal of Hospital Medicine, Dr. Thomson and colleagues present an analysis of 4,700 hospitalizations in the Pediatric Health Information System (PHIS) database to compare the effectiveness of different antibiotic regimens for children with neurological impairment and aspiration pneumonia.1 After adjusting for potential confounders, including illness severity markers and demographic factors, they observed that receiving anaerobic coverage was associated with improvements in rates of acute respiratory failure, intensive care unit (ICU) transfer frequency, and length of stay. Given that the authors used an administrative database, several considerations limit the generalizability of the current study. These limitations include that only patients hospitalized at freestanding children’s hospitals were included, the incomplete ability to assess illness severity, and the absence of validated clinical criteria for the diagnosis of aspiration pneumonia. Despite the limitations of a retrospective study using administrative data, the authors should be commended for their rigorous analyses and for their important contribution to the care of this understudied population.

Optimizing appropriate antibiotic therapy for children with suspected aspiration pneumonia is challenging for several reasons. First, previous epidemiological studies demonstrated that viruses cause most pediatric community-acquired pneumonia2; however, we lack tools to identify patients who do not require antibiotic therapy. Second, current clinical guidelines on community-acquired pneumonia do not address aspiration pneumonia diagnosis and management.3 Similar to community-acquired pneumonia, aspiration pneumonia is a clinical diagnosis supported by patient history and laboratory and radiographic data. Given the lack of a gold standard, diagnosis of aspiration pneumonia is difficult to confirm. Previous studies using the PHIS database have demonstrated that, compared with children with nonaspiration pneumonia, those with aspiration pneumonia International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes feature higher rates of mortality, ICU-level care, and 30-day readmission rates.4,5 However, in these studies, patients with an ICD-9-CM code for aspiration pneumonia were also more medically complex, with a higher number of complex chronic conditions and rates of technology use. Lastly, aspiration pneumonia is occasionally synonymous with pneumonia in medically complex patients, which leads to the increased exposure to broad-­spectrum antibiotics. The exposure to broad-spectrum antibiotics causes complications, such as Clostridioides difficile infection and potential antibiotic resistance in a patient population that already experiences significant antibiotic exposure.

Growing concerns about antibiotic overuse and the declining prevalence of anaerobic isolates among adult pneumonia patients recently prompted the Infectious Diseases Society of America (IDSA) and the American Thoracic Society (ATS) to discourage routine anaerobic coverage among adults with suspected aspiration pneumonia and no abscess or empyema.6 These guidelines overturn years of habit for most adult hospitalists, although the IDSA and ATS acknowledge the extremely low quality of evidence informing the recommendation. Thus, the dilemma is whether the IDSA/ATS guidelines should be reconciled with the conclusions of Thomson et al. The answer is “not necessarily.” Fundamentally, different causes of neurological impairment, such as dementia and stroke, afflict elderly adults with aspiration pneumonia along with important differences in physiological and microbiological exposures. Instead, adult and pediatric hospitalists can find common ground around the shared uncertainty and variability in diagnosing aspiration pneumonia and the need for more credible evidence. Unfortunately, wide variation in diagnosis and coding practices might complicate the efforts to reproduce Thomson’s rigorous retrospective cohort study in large adult databases7 given that Medicare-quality comparison programs may have inadvertently encouraged changes in coding behaviors during the last decade. Attributing pneumonia cases to aspiration removed high-risk patients from reporting cohorts, thus improving a hospital’s apparent mortality rate for community-acquired pneumonia. Although the United States Centers for Medicare & Medicaid Services amended rules in 2017 to address this concern, years of overdiagnosis of aspiration pneumonia possibly biased adult administrative data sets.

Although the association between the use of anaerobic antibiotic coverage and improved pediatric outcomes is promising, these results also point out the need for rigorous prospective studies to improve the evidence base for the diagnosis and treatment of suspected aspiration pneumonia in hospitalized patients of all ages. Given the heterogeneity in the use of aspiration pneumonia diagnoses, foundational work might include assessing the factors that influence clinicians in deciding on the diagnosis of aspiration pneumonia (versus community-­acquired pneumonia). On the patient side, parallel trials may start with multicenter, prospective cohort studies to gain insights into the demographic, clinical, and laboratory factors that are associated with the diagnosis of aspiration pneumonia. This research direction may lead to the development and standardization of diagnostic criteria for aspiration pneumonia. Ultimately, prospective randomized controlled trials are needed to assess the comparative effectiveness of different antibiotic choices on clinical outcomes.

In this issue of the Journal of Hospital Medicine, Dr. Thomson and colleagues present an analysis of 4,700 hospitalizations in the Pediatric Health Information System (PHIS) database to compare the effectiveness of different antibiotic regimens for children with neurological impairment and aspiration pneumonia.1 After adjusting for potential confounders, including illness severity markers and demographic factors, they observed that receiving anaerobic coverage was associated with improvements in rates of acute respiratory failure, intensive care unit (ICU) transfer frequency, and length of stay. Given that the authors used an administrative database, several considerations limit the generalizability of the current study. These limitations include that only patients hospitalized at freestanding children’s hospitals were included, the incomplete ability to assess illness severity, and the absence of validated clinical criteria for the diagnosis of aspiration pneumonia. Despite the limitations of a retrospective study using administrative data, the authors should be commended for their rigorous analyses and for their important contribution to the care of this understudied population.

Optimizing appropriate antibiotic therapy for children with suspected aspiration pneumonia is challenging for several reasons. First, previous epidemiological studies demonstrated that viruses cause most pediatric community-acquired pneumonia2; however, we lack tools to identify patients who do not require antibiotic therapy. Second, current clinical guidelines on community-acquired pneumonia do not address aspiration pneumonia diagnosis and management.3 Similar to community-acquired pneumonia, aspiration pneumonia is a clinical diagnosis supported by patient history and laboratory and radiographic data. Given the lack of a gold standard, diagnosis of aspiration pneumonia is difficult to confirm. Previous studies using the PHIS database have demonstrated that, compared with children with nonaspiration pneumonia, those with aspiration pneumonia International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes feature higher rates of mortality, ICU-level care, and 30-day readmission rates.4,5 However, in these studies, patients with an ICD-9-CM code for aspiration pneumonia were also more medically complex, with a higher number of complex chronic conditions and rates of technology use. Lastly, aspiration pneumonia is occasionally synonymous with pneumonia in medically complex patients, which leads to the increased exposure to broad-­spectrum antibiotics. The exposure to broad-spectrum antibiotics causes complications, such as Clostridioides difficile infection and potential antibiotic resistance in a patient population that already experiences significant antibiotic exposure.

Growing concerns about antibiotic overuse and the declining prevalence of anaerobic isolates among adult pneumonia patients recently prompted the Infectious Diseases Society of America (IDSA) and the American Thoracic Society (ATS) to discourage routine anaerobic coverage among adults with suspected aspiration pneumonia and no abscess or empyema.6 These guidelines overturn years of habit for most adult hospitalists, although the IDSA and ATS acknowledge the extremely low quality of evidence informing the recommendation. Thus, the dilemma is whether the IDSA/ATS guidelines should be reconciled with the conclusions of Thomson et al. The answer is “not necessarily.” Fundamentally, different causes of neurological impairment, such as dementia and stroke, afflict elderly adults with aspiration pneumonia along with important differences in physiological and microbiological exposures. Instead, adult and pediatric hospitalists can find common ground around the shared uncertainty and variability in diagnosing aspiration pneumonia and the need for more credible evidence. Unfortunately, wide variation in diagnosis and coding practices might complicate the efforts to reproduce Thomson’s rigorous retrospective cohort study in large adult databases7 given that Medicare-quality comparison programs may have inadvertently encouraged changes in coding behaviors during the last decade. Attributing pneumonia cases to aspiration removed high-risk patients from reporting cohorts, thus improving a hospital’s apparent mortality rate for community-acquired pneumonia. Although the United States Centers for Medicare & Medicaid Services amended rules in 2017 to address this concern, years of overdiagnosis of aspiration pneumonia possibly biased adult administrative data sets.

Although the association between the use of anaerobic antibiotic coverage and improved pediatric outcomes is promising, these results also point out the need for rigorous prospective studies to improve the evidence base for the diagnosis and treatment of suspected aspiration pneumonia in hospitalized patients of all ages. Given the heterogeneity in the use of aspiration pneumonia diagnoses, foundational work might include assessing the factors that influence clinicians in deciding on the diagnosis of aspiration pneumonia (versus community-­acquired pneumonia). On the patient side, parallel trials may start with multicenter, prospective cohort studies to gain insights into the demographic, clinical, and laboratory factors that are associated with the diagnosis of aspiration pneumonia. This research direction may lead to the development and standardization of diagnostic criteria for aspiration pneumonia. Ultimately, prospective randomized controlled trials are needed to assess the comparative effectiveness of different antibiotic choices on clinical outcomes.

References

1. Thomson J, Hall M, Ambroggio L, et al. Antibiotics for aspiration pneumonia in neurologically impaired children. J Hosp Med. 2020;15(7):395-402. https://doi.org/10.12788/jhm.3338
2. Jain S, Williams DJ, Arnold SR, et al. Community-acquired pneumonia requiring hospitalization among U.S. children. N Engl J Med. 2015;372(9):835-845. https://doi.org/10.1056/NEJMoa1405870
3. Bradley JS, Byington CL, Shah SS, et al. The management of community-acquired pneumonia in infants and children older than 3 months of age: clinical practice guidelines by the Pediatric Infectious Diseases Society and the Infectious Diseases Society of America. Clin Infect Dis. 2011;53(7):e25-76. https://doi.org/10.1093/cid/cir531
4. Hirsch AW, Monuteaux MC, Fruchtman G, Bachur RG, Neuman MI. Characteristics of children hospitalized with aspiration pneumonia. Hosp Pediatr. 2016;6(11):659-666. https://doi.org/10.1542/hpeds.2016-0064
5. Thomson J, Hall M, Ambroggio L, et al. Aspiration and non-aspiration pneumonia in hospitalized children with neurologic impairment. Pediatrics. 2016;137(2):1-10. https://doi.org/10.1542/peds.2015-1612
6. Metlay JP, Waterer GW, Long AC, et al. Diagnosis and treatment of adults with community-acquired pneumonia. An official clinical practice guideline of the American Thoracic Society and Infectious Diseases Society of America. Am J Respir Crit Care Med. 2019;200(7):e45-e67. https://doi.org/10.1164/rccm.201908-1581ST
7. Lindenauer PK, Strait KM, Grady JN, et al. Variation in the diagnosis of aspiration pneumonia and association with hospital pneumonia outcomes. Ann Am Thorac Soc. 2018;15(5):562-569. https://doi.org/10.1513/AnnalsATS.201709-728OC

References

1. Thomson J, Hall M, Ambroggio L, et al. Antibiotics for aspiration pneumonia in neurologically impaired children. J Hosp Med. 2020;15(7):395-402. https://doi.org/10.12788/jhm.3338
2. Jain S, Williams DJ, Arnold SR, et al. Community-acquired pneumonia requiring hospitalization among U.S. children. N Engl J Med. 2015;372(9):835-845. https://doi.org/10.1056/NEJMoa1405870
3. Bradley JS, Byington CL, Shah SS, et al. The management of community-acquired pneumonia in infants and children older than 3 months of age: clinical practice guidelines by the Pediatric Infectious Diseases Society and the Infectious Diseases Society of America. Clin Infect Dis. 2011;53(7):e25-76. https://doi.org/10.1093/cid/cir531
4. Hirsch AW, Monuteaux MC, Fruchtman G, Bachur RG, Neuman MI. Characteristics of children hospitalized with aspiration pneumonia. Hosp Pediatr. 2016;6(11):659-666. https://doi.org/10.1542/hpeds.2016-0064
5. Thomson J, Hall M, Ambroggio L, et al. Aspiration and non-aspiration pneumonia in hospitalized children with neurologic impairment. Pediatrics. 2016;137(2):1-10. https://doi.org/10.1542/peds.2015-1612
6. Metlay JP, Waterer GW, Long AC, et al. Diagnosis and treatment of adults with community-acquired pneumonia. An official clinical practice guideline of the American Thoracic Society and Infectious Diseases Society of America. Am J Respir Crit Care Med. 2019;200(7):e45-e67. https://doi.org/10.1164/rccm.201908-1581ST
7. Lindenauer PK, Strait KM, Grady JN, et al. Variation in the diagnosis of aspiration pneumonia and association with hospital pneumonia outcomes. Ann Am Thorac Soc. 2018;15(5):562-569. https://doi.org/10.1513/AnnalsATS.201709-728OC

Issue
Journal of Hospital Medicine 15(7)
Issue
Journal of Hospital Medicine 15(7)
Page Number
445-446
Page Number
445-446
Publications
Publications
Topics
Article Type
Sections
Article Source

© 2020 Society of Hospital Medicine

Disallow All Ads
Correspondence Location
Christopher J. Russell, MD; Email: crussell@chla.usc.edu; Telephone: 323-361-6177; Twitter: @cjrussellMD.
Content Gating
Gated (full article locked unless allowed per User)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Gating Strategy
First Peek Free
Medscape Article
Display survey writer
Reuters content
Article PDF Media

Defining Competence in the Evolving Field of Pediatric Hospital Medicine

Article Type
Changed
Tue, 06/30/2020 - 14:02

Core competencies are intended to provide defined expectations in a field of medicine. The newly published Pediatric Hospital Medicine (PHM) Core Competencies: 2020 Revision are an update of the original 2010 competencies1 with added and restructured content based on relevance to current practice.2,3 This is timely given the 2017 update to the Society of Hospital Medicine (SHM) core competencies4 and recent designation of PHM as a boarded subspecialty by the American Board of Pediatrics (ABP). The competencies help define the knowledge, skills, and attitudes of a pediatric hospital medicine specialist and inform curriculum development to achieve the determined expectations.

In this update to the PHM core competencies, key adjustments were made to the editorial process. Importantly, a community hospitalist was added to the editorial team; this change better reflects the proportion of care provided to hospitalized children at community sites nationwide.5 Content updates were considered using a two-pronged needs assessment: (1) review of recent PHM conference, textbook, and handbook content and (2) survey of the SHM, Academic Pediatric Association, and American Academy of Pediatrics stakeholder groups. These processes led to the addition of 12 chapters, the major revision of 7 chapters, and the addition of content to 29 of the original chapters.

The increased focus on mental health in the sections “Common Clinical Diagnoses and Conditions” and “Specialized Services” is a necessary update. Chapters on neonatal abstinence syndrome (NAS), substance abuse, and altered mental status were added to the “Common Clinical Diagnoses and Conditions” section. The increasing incidence of NAS has been well described, and the field of PHM has been instrumental in improving care for these patients.6 Children hospitalized with mental health diagnoses constitute a substantial portion of pediatric inpatient admissions,7 and we anticipate that it will be a continued area of need in PHM. Therefore, the addition of chapters on acute and chronic behavioral and psychiatric conditions in the “Specialized Services” section is noteworthy. In contrast, with the added chapters on constipation and gastrointestinal and digestive disorders, the gastrointestinal disorders may be disproportionately represented in the updated competencies and may be an area to streamline in future iterations.

Recognition of changing procedural needs in the inpatient pediatric setting, particularly with the growing population of children with medical complexity, resulted in removal of suprapubic bladder taps and addition of vesicostomy care to the “Core Skills” section. In future updates, it will be important to continue to remove practices that are no longer relevant or widespread and include advances in procedural skills applicable to PHM such as point-of-care ultrasound.8

The “Healthcare Systems” section highlights additional skills ranging from quality improvement and research to family-­centered care that PHM physicians bring to healthcare institutions. According to a recent survey of early-career hospitalists, skills in these areas are often not adequately developed during residency training.9 Therefore, the competencies outlined in this section are a key part of proposed PHM fellowship curricula10 and should be recognized as potential development opportunities for junior faculty in the field. This section also highlights the increasing medical complexity of patients and evolving role of PHM expertise in comanagement and consultation to improve quality and safety of care. Appreciating the unique needs of underserved communities is another important addition in the new chapter on family-centered care.

Looking ahead to future updates, we appreciate that the editors commented on diversity in both editorship and authorship. In line with the recent call for improved representation of women and racial and ethnic minorities in academic medicine by the Journal of Hospital Medicine,11 future core competency publications should broadly consider diversity in editors, authors, and reviewers and more explicitly address methods for increasing diversity. We also anticipate that technological advances, such as telemedicine and remote patient monitoring, will be at the forefront in subsequent updates, which will allow higher levels of care to be provided outside of the traditional hospital structure. With the recent inauguration of the ABP PHM certification exam and the first cycle of Accreditation Council for Graduate Medical Education accreditation for PHM fellowships, these updated competencies are timely and relevant. The authors’ ongoing efforts are crucial for our young and evolving field as we strive to improve the health of all hospitalized children.

Disclosures

The authors have nothing to disclose.

References

1. Stucky ER, Ottolini MC, Maniscalco J. Pediatric Hospital Medicine Core Competencies: development and methodology. J Hosp Med. 2010;5(6):339-343. https://doi.org/10.1002/jhm.843
2. Gage S, Maniscalco J, Fisher E, Teferi S, et al. The Pediatric Hospital Medicine Core Competencies: 2020 Revision; a framework for curriculum development by the Society of Hospital Medicine with acknowledgment to pediatric hospitalists from the Academic Pediatric Association and the American Academy of Pediatrics. J Hosp Med. 2020;15(S1):1-155
3. Maniscalco J, Gage S, Teferi S, Stucky Fisher E. The Pediatric Hospital Medicine Core Competencies 2020 Revision: introduction and methodology. J Hosp Med. 2020;15(7):389-394. https://doi.org/10.12788/jhm.3391
4. Nichani S, Crocker J, Fitterman N, Lukela M. Updating the Core Competencies in hospital medicine--2017 revision: introduction and methodology. J Hosp Med. 2017;12(4):283-287. https://doi.org/10.12788/jhm.2715
5. Leyenaar JK, Ralston SL, Shieh M-S, Pekow PS, Mangione-Smith R, Lindenauer PK. Epidemiology of pediatric hospitalizations at general hospitals and freestanding children’s hospitals in the United States: pediatric hospitalization epidemiology. J Hosp Med. 2016;11(11):743-749. https://doi.org/10.1002/jhm.2624
6. Holmes AV, Atwood EC, Whalen B, et al. Rooming-in to treat neonatal abstinence syndrome: improved family-centered care at lower cost. Pediatrics. 2016;137(6):e20152929. https://doi.org/10.1542/peds.2015-2929
7. Bardach NS, Coker TR, Zima BT, et al. Common and costly hospitalizations for pediatric mental health disorders. Pediatrics. 2014;133(4):602-609. https://doi.org/10.1542/peds.2013-3165
8. Conlon TW, Nishisaki A, Singh Y, et al. Moving beyond the stethoscope: diagnostic point-of-care ultrasound in pediatric practice. Pediatrics. 2019;144(4):e20191402. https://doi.org/10.1542/peds.2019-1402
9. Librizzi J, Winer JC, Banach L, Davis A. Perceived core competency achievements of fellowship and non-fellowship-trained early career pediatric hospitalists: early career pediatric hospitalists. J Hosp Med. 2015;10(6):373-379. https://doi.org/10.1002/jhm.2337
10. Jerardi KE, Fisher E, Rassbach C, et al. Development of a curricular framework for Pediatric Hospital Medicine fellowships. Pediatrics. 2017;140(1):e20170698. https://doi.org/10.1542/peds.2017-0698
11. Shah SS, Shaughnessy EE, Spector ND. Leading by example: how medical journals can improve representation in academic medicine. J Hosp Med. 2019;14(7):393. https://doi.org/10.12788/jhm.3247

Article PDF
Issue
Journal of Hospital Medicine 15(7)
Publications
Topics
Page Number
443-444
Sections
Article PDF
Article PDF
Related Articles

Core competencies are intended to provide defined expectations in a field of medicine. The newly published Pediatric Hospital Medicine (PHM) Core Competencies: 2020 Revision are an update of the original 2010 competencies1 with added and restructured content based on relevance to current practice.2,3 This is timely given the 2017 update to the Society of Hospital Medicine (SHM) core competencies4 and recent designation of PHM as a boarded subspecialty by the American Board of Pediatrics (ABP). The competencies help define the knowledge, skills, and attitudes of a pediatric hospital medicine specialist and inform curriculum development to achieve the determined expectations.

In this update to the PHM core competencies, key adjustments were made to the editorial process. Importantly, a community hospitalist was added to the editorial team; this change better reflects the proportion of care provided to hospitalized children at community sites nationwide.5 Content updates were considered using a two-pronged needs assessment: (1) review of recent PHM conference, textbook, and handbook content and (2) survey of the SHM, Academic Pediatric Association, and American Academy of Pediatrics stakeholder groups. These processes led to the addition of 12 chapters, the major revision of 7 chapters, and the addition of content to 29 of the original chapters.

The increased focus on mental health in the sections “Common Clinical Diagnoses and Conditions” and “Specialized Services” is a necessary update. Chapters on neonatal abstinence syndrome (NAS), substance abuse, and altered mental status were added to the “Common Clinical Diagnoses and Conditions” section. The increasing incidence of NAS has been well described, and the field of PHM has been instrumental in improving care for these patients.6 Children hospitalized with mental health diagnoses constitute a substantial portion of pediatric inpatient admissions,7 and we anticipate that it will be a continued area of need in PHM. Therefore, the addition of chapters on acute and chronic behavioral and psychiatric conditions in the “Specialized Services” section is noteworthy. In contrast, with the added chapters on constipation and gastrointestinal and digestive disorders, the gastrointestinal disorders may be disproportionately represented in the updated competencies and may be an area to streamline in future iterations.

Recognition of changing procedural needs in the inpatient pediatric setting, particularly with the growing population of children with medical complexity, resulted in removal of suprapubic bladder taps and addition of vesicostomy care to the “Core Skills” section. In future updates, it will be important to continue to remove practices that are no longer relevant or widespread and include advances in procedural skills applicable to PHM such as point-of-care ultrasound.8

The “Healthcare Systems” section highlights additional skills ranging from quality improvement and research to family-­centered care that PHM physicians bring to healthcare institutions. According to a recent survey of early-career hospitalists, skills in these areas are often not adequately developed during residency training.9 Therefore, the competencies outlined in this section are a key part of proposed PHM fellowship curricula10 and should be recognized as potential development opportunities for junior faculty in the field. This section also highlights the increasing medical complexity of patients and evolving role of PHM expertise in comanagement and consultation to improve quality and safety of care. Appreciating the unique needs of underserved communities is another important addition in the new chapter on family-centered care.

Looking ahead to future updates, we appreciate that the editors commented on diversity in both editorship and authorship. In line with the recent call for improved representation of women and racial and ethnic minorities in academic medicine by the Journal of Hospital Medicine,11 future core competency publications should broadly consider diversity in editors, authors, and reviewers and more explicitly address methods for increasing diversity. We also anticipate that technological advances, such as telemedicine and remote patient monitoring, will be at the forefront in subsequent updates, which will allow higher levels of care to be provided outside of the traditional hospital structure. With the recent inauguration of the ABP PHM certification exam and the first cycle of Accreditation Council for Graduate Medical Education accreditation for PHM fellowships, these updated competencies are timely and relevant. The authors’ ongoing efforts are crucial for our young and evolving field as we strive to improve the health of all hospitalized children.

Disclosures

The authors have nothing to disclose.

Core competencies are intended to provide defined expectations in a field of medicine. The newly published Pediatric Hospital Medicine (PHM) Core Competencies: 2020 Revision are an update of the original 2010 competencies1 with added and restructured content based on relevance to current practice.2,3 This is timely given the 2017 update to the Society of Hospital Medicine (SHM) core competencies4 and recent designation of PHM as a boarded subspecialty by the American Board of Pediatrics (ABP). The competencies help define the knowledge, skills, and attitudes of a pediatric hospital medicine specialist and inform curriculum development to achieve the determined expectations.

In this update to the PHM core competencies, key adjustments were made to the editorial process. Importantly, a community hospitalist was added to the editorial team; this change better reflects the proportion of care provided to hospitalized children at community sites nationwide.5 Content updates were considered using a two-pronged needs assessment: (1) review of recent PHM conference, textbook, and handbook content and (2) survey of the SHM, Academic Pediatric Association, and American Academy of Pediatrics stakeholder groups. These processes led to the addition of 12 chapters, the major revision of 7 chapters, and the addition of content to 29 of the original chapters.

The increased focus on mental health in the sections “Common Clinical Diagnoses and Conditions” and “Specialized Services” is a necessary update. Chapters on neonatal abstinence syndrome (NAS), substance abuse, and altered mental status were added to the “Common Clinical Diagnoses and Conditions” section. The increasing incidence of NAS has been well described, and the field of PHM has been instrumental in improving care for these patients.6 Children hospitalized with mental health diagnoses constitute a substantial portion of pediatric inpatient admissions,7 and we anticipate that it will be a continued area of need in PHM. Therefore, the addition of chapters on acute and chronic behavioral and psychiatric conditions in the “Specialized Services” section is noteworthy. In contrast, with the added chapters on constipation and gastrointestinal and digestive disorders, the gastrointestinal disorders may be disproportionately represented in the updated competencies and may be an area to streamline in future iterations.

Recognition of changing procedural needs in the inpatient pediatric setting, particularly with the growing population of children with medical complexity, resulted in removal of suprapubic bladder taps and addition of vesicostomy care to the “Core Skills” section. In future updates, it will be important to continue to remove practices that are no longer relevant or widespread and include advances in procedural skills applicable to PHM such as point-of-care ultrasound.8

The “Healthcare Systems” section highlights additional skills ranging from quality improvement and research to family-­centered care that PHM physicians bring to healthcare institutions. According to a recent survey of early-career hospitalists, skills in these areas are often not adequately developed during residency training.9 Therefore, the competencies outlined in this section are a key part of proposed PHM fellowship curricula10 and should be recognized as potential development opportunities for junior faculty in the field. This section also highlights the increasing medical complexity of patients and evolving role of PHM expertise in comanagement and consultation to improve quality and safety of care. Appreciating the unique needs of underserved communities is another important addition in the new chapter on family-centered care.

Looking ahead to future updates, we appreciate that the editors commented on diversity in both editorship and authorship. In line with the recent call for improved representation of women and racial and ethnic minorities in academic medicine by the Journal of Hospital Medicine,11 future core competency publications should broadly consider diversity in editors, authors, and reviewers and more explicitly address methods for increasing diversity. We also anticipate that technological advances, such as telemedicine and remote patient monitoring, will be at the forefront in subsequent updates, which will allow higher levels of care to be provided outside of the traditional hospital structure. With the recent inauguration of the ABP PHM certification exam and the first cycle of Accreditation Council for Graduate Medical Education accreditation for PHM fellowships, these updated competencies are timely and relevant. The authors’ ongoing efforts are crucial for our young and evolving field as we strive to improve the health of all hospitalized children.

Disclosures

The authors have nothing to disclose.

References

1. Stucky ER, Ottolini MC, Maniscalco J. Pediatric Hospital Medicine Core Competencies: development and methodology. J Hosp Med. 2010;5(6):339-343. https://doi.org/10.1002/jhm.843
2. Gage S, Maniscalco J, Fisher E, Teferi S, et al. The Pediatric Hospital Medicine Core Competencies: 2020 Revision; a framework for curriculum development by the Society of Hospital Medicine with acknowledgment to pediatric hospitalists from the Academic Pediatric Association and the American Academy of Pediatrics. J Hosp Med. 2020;15(S1):1-155
3. Maniscalco J, Gage S, Teferi S, Stucky Fisher E. The Pediatric Hospital Medicine Core Competencies 2020 Revision: introduction and methodology. J Hosp Med. 2020;15(7):389-394. https://doi.org/10.12788/jhm.3391
4. Nichani S, Crocker J, Fitterman N, Lukela M. Updating the Core Competencies in hospital medicine--2017 revision: introduction and methodology. J Hosp Med. 2017;12(4):283-287. https://doi.org/10.12788/jhm.2715
5. Leyenaar JK, Ralston SL, Shieh M-S, Pekow PS, Mangione-Smith R, Lindenauer PK. Epidemiology of pediatric hospitalizations at general hospitals and freestanding children’s hospitals in the United States: pediatric hospitalization epidemiology. J Hosp Med. 2016;11(11):743-749. https://doi.org/10.1002/jhm.2624
6. Holmes AV, Atwood EC, Whalen B, et al. Rooming-in to treat neonatal abstinence syndrome: improved family-centered care at lower cost. Pediatrics. 2016;137(6):e20152929. https://doi.org/10.1542/peds.2015-2929
7. Bardach NS, Coker TR, Zima BT, et al. Common and costly hospitalizations for pediatric mental health disorders. Pediatrics. 2014;133(4):602-609. https://doi.org/10.1542/peds.2013-3165
8. Conlon TW, Nishisaki A, Singh Y, et al. Moving beyond the stethoscope: diagnostic point-of-care ultrasound in pediatric practice. Pediatrics. 2019;144(4):e20191402. https://doi.org/10.1542/peds.2019-1402
9. Librizzi J, Winer JC, Banach L, Davis A. Perceived core competency achievements of fellowship and non-fellowship-trained early career pediatric hospitalists: early career pediatric hospitalists. J Hosp Med. 2015;10(6):373-379. https://doi.org/10.1002/jhm.2337
10. Jerardi KE, Fisher E, Rassbach C, et al. Development of a curricular framework for Pediatric Hospital Medicine fellowships. Pediatrics. 2017;140(1):e20170698. https://doi.org/10.1542/peds.2017-0698
11. Shah SS, Shaughnessy EE, Spector ND. Leading by example: how medical journals can improve representation in academic medicine. J Hosp Med. 2019;14(7):393. https://doi.org/10.12788/jhm.3247

References

1. Stucky ER, Ottolini MC, Maniscalco J. Pediatric Hospital Medicine Core Competencies: development and methodology. J Hosp Med. 2010;5(6):339-343. https://doi.org/10.1002/jhm.843
2. Gage S, Maniscalco J, Fisher E, Teferi S, et al. The Pediatric Hospital Medicine Core Competencies: 2020 Revision; a framework for curriculum development by the Society of Hospital Medicine with acknowledgment to pediatric hospitalists from the Academic Pediatric Association and the American Academy of Pediatrics. J Hosp Med. 2020;15(S1):1-155
3. Maniscalco J, Gage S, Teferi S, Stucky Fisher E. The Pediatric Hospital Medicine Core Competencies 2020 Revision: introduction and methodology. J Hosp Med. 2020;15(7):389-394. https://doi.org/10.12788/jhm.3391
4. Nichani S, Crocker J, Fitterman N, Lukela M. Updating the Core Competencies in hospital medicine--2017 revision: introduction and methodology. J Hosp Med. 2017;12(4):283-287. https://doi.org/10.12788/jhm.2715
5. Leyenaar JK, Ralston SL, Shieh M-S, Pekow PS, Mangione-Smith R, Lindenauer PK. Epidemiology of pediatric hospitalizations at general hospitals and freestanding children’s hospitals in the United States: pediatric hospitalization epidemiology. J Hosp Med. 2016;11(11):743-749. https://doi.org/10.1002/jhm.2624
6. Holmes AV, Atwood EC, Whalen B, et al. Rooming-in to treat neonatal abstinence syndrome: improved family-centered care at lower cost. Pediatrics. 2016;137(6):e20152929. https://doi.org/10.1542/peds.2015-2929
7. Bardach NS, Coker TR, Zima BT, et al. Common and costly hospitalizations for pediatric mental health disorders. Pediatrics. 2014;133(4):602-609. https://doi.org/10.1542/peds.2013-3165
8. Conlon TW, Nishisaki A, Singh Y, et al. Moving beyond the stethoscope: diagnostic point-of-care ultrasound in pediatric practice. Pediatrics. 2019;144(4):e20191402. https://doi.org/10.1542/peds.2019-1402
9. Librizzi J, Winer JC, Banach L, Davis A. Perceived core competency achievements of fellowship and non-fellowship-trained early career pediatric hospitalists: early career pediatric hospitalists. J Hosp Med. 2015;10(6):373-379. https://doi.org/10.1002/jhm.2337
10. Jerardi KE, Fisher E, Rassbach C, et al. Development of a curricular framework for Pediatric Hospital Medicine fellowships. Pediatrics. 2017;140(1):e20170698. https://doi.org/10.1542/peds.2017-0698
11. Shah SS, Shaughnessy EE, Spector ND. Leading by example: how medical journals can improve representation in academic medicine. J Hosp Med. 2019;14(7):393. https://doi.org/10.12788/jhm.3247

Issue
Journal of Hospital Medicine 15(7)
Issue
Journal of Hospital Medicine 15(7)
Page Number
443-444
Page Number
443-444
Publications
Publications
Topics
Article Type
Sections
Article Source

© 2020 Society of Hospital Medicine

Disallow All Ads
Correspondence Location
Meghan Fanta, MD; Email: meghan.fanta@cchmc.org; Telephone: 513-803-4829; Twitter: @meghanfanta.
Content Gating
Gated (full article locked unless allowed per User)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Gating Strategy
First Peek Free
Article PDF Media