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Practicing High-Value Pediatric Care During a Pandemic: The Challenges and Opportunities
High-value care (HVC) is a philosophy and approach to medicine that focuses on achieving the best patient outcomes through evidence-based practice while minimizing harm to patients, wasted healthcare resources, and costs. Incorporating HVC principles in pediatric clinical decision-making is particularly important owing to the harms of hospitalization, overutilization, and overdiagnosis, as well as rising costs of pediatric care.1-4 How can we maintain these principles in the face of a global pandemic and new emerging syndrome, multisystem inflammatory syndrome in children (MIS-C), which has dramatically impacted healthcare systems for children?
In this article, we discuss the barriers and opportunities around practicing HVC in our evolving approach to novel COVID-19 management in hospitalized children. We also draw lessons from our experiences on how we can respond to future events that rapidly shift our approach to care.
BARRIERS TO PROVIDING HVC FOR HOSPITALIZED CHILDREN DURING COVID-19
As children’s hospitals and pediatric providers responded to the COVID-19 pandemic, practice recommendations were implemented rapidly and changed rapidly. A major challenge with an event like this is how we respond to the unknown and uncertainty, something most healthcare workers are not comfortable doing at baseline,5,6 particularly trainees and early-career physicians.7 With the benefit of hindsight, many early clinical approaches to care may now be seen as low-value care (LVC). For example, COVID-19 test availability was initially limited, and many hospitals utilized respiratory viral panels (RVPs) to potentially eliminate COVID-19 as an etiology of symptoms. RVP use increased during this time8; however, studies have shown that the co-infection rate of SARS-CoV2 with other respiratory viruses varies widely, so a positive RVP was of uncertain benefit.9 In addition, routine RVP use is often low value and may lead to overdiagnosis, additional overtesting cascades, and, at times, false reassurance and premature closure of the diagnostic workup.10
As our understanding of COVID-19 has expanded, rapid changes in treatment have also occurred. Early data were often preliminary and based on small trials of adults, and treatments ranged from inexpensive and available (dexamethasone) to quite expensive (remdesivir, monoclonal antibodies). Pragmatic randomized controlled trials (RCTs) are an important tool that may have been underutilized in pediatrics. Similar to our adult hospitalist colleagues’ experience,11 the rapid rise in cases provided an opportunity to collaborate across institutions to assess which treatments were most effective. In particular, the predictable rise in rates of MIS-C after a surge in COVID-19 cases could have provided an avenue to evaluate the relative effectiveness of the various treatments used.12 However, there were limited pediatric RCTs and thus a missed opportunity to establish an evidence-based pediatric standard of care for COVID-19 and MIS-C. This resulted in the development and dissemination of care practices before they were fully tested in children.
Similarly, the medical community has become increasingly aware of laboratory findings that may be predictive of clinical course.13 The outcomes of COVID and MIS-C are potentially severe, so looking for “early warning signs” with diagnostic testing is appealing. Clinicians responding to early data, and with a fear of missing something, may order a full panel of bloodwork for admitted patients to assist with decision-making and may underestimate the perceived minor harms and cost of unnecessary testing/admissions.3 However, most of the evidence regarding lab values came from the adult population. There is little understanding of how lab values impact pediatric-specific outcomes.14 Even for MIS-C, a pediatric-specific condition, early protocols emphasize broad testing approaches.15 A focus on grave (but rare) outcomes from a novel virus may also distract from more common causes of symptoms and lead to missed common diagnoses that are less severe.16 For both testing and treatment, having this early information before clear evidence on how it guided care may have caused more harm than benefit. Again, RCTs may have helped guide MIS-C therapies and protocol development.
Changing workflows may also create new barriers to HVC. One of the recommendations from Choosing Wisely® during the COVID-19 pandemic was to batch lab draws17 to reduce the risk of exposure to healthcare workers performing phlebotomy, as well as staff who transport, handle, and process bloodwork in the lab. This may inadvertently encourage the approach of getting a lab test “in case” we need it with a single daily blood draw. In trying to avoid multiple encounters (and conserve personal protective equipment [PPE]), we may be taking a less stepwise approach than in prepandemic times.
Finally, children’s hospitals witnessed significant financial challenges and reductions in patient volume related to the pandemic.18 Reductions in patient volume could present a potential opportunity for practicing HVC (eg, more time to discuss downstream effects) or alternatively could inadvertently incentivize low-value, low-priority care via messaging around preserving financial viability.
For clinicians and healthcare systems, these examples highlight why we may be predisposed to practicing LVC during a pandemic or similar emerging threat.
STRATEGIES FOR HVC PRACTICE DURING FUTURE MAJOR EVENTS
In light of these challenging clinical scenarios and nonclinical factors that predispose us to LVC, how can we reinforce a high-value approach to care during a pandemic or similar emerging threat? The following five specific concepts may help providers and organizations optimize HVC during this pandemic and in future situations:
- Utilize pediatric RCTs to provide evidence-based recommendations. In the face of a novel virus with unclear manifestations, treatment options were rapidly implemented without time for careful evaluation. In the future, collaboratively utilizing shared resources in the research community could help rapidly and rigorously evaluate outcomes in the pursuit of evidence-based practice.
- Use standardization as a tool to mitigate uncertainty. Knowing that uncertainty can be a driver of overuse and that during emerging threats, evidence is scarce and rapidly changing, a structured method for standardizing practice across your institution or multiple institutions can be helpful in many ways. Electronic health record–based orders and guidelines provide a standard of care to relieve uncertainty and have been shown to reduce overtesting.19 These resources can also be adapted rapidly as evidence emerges, reducing the burden on providers to know the latest evolving best practice. Experts who have reviewed the literature should have a method to quickly disseminate these findings through standardized practice, providing a venue for rapid learning and implementation.20
- Plan for active deimplementation from the outset. It is inevitable that some practices implemented early in pandemic response may need to be deimplemented later as the evidence and situation evolve. However, there is ample evidence that deimplementation can be difficult.21 Building in deimplementation mechanisms, such as standing educational sessions or hospital committees dedicated to value that review practices, from the beginning may ease these changes.
- Take advantage of novel opportunities to improve value. Early stop-gap interventions may be wasteful, but the upheaval from major events may also create novel opportunities to improve value in other ways. Some of these efforts, like PPE conservation and as-needed follow-up visits, may become useful methods to improve value even after the pandemic ends.22,23 The decreased pursuit of healthcare during the pandemic may also have given us an opportunity to better define when delayed diagnosis or even nondiagnosis for certain conditions is acceptable and when it may cause harm.
- Highlight harms of overuse. While avoiding unnecessary costs is an important aspect of reducing overuse, often the other human-centered harms of overuse are better motivators for HVC. Especially during the response to an emerging threat, the impacts of overuse may be compounded. Laboratory resources that are strained to meet COVID-19 testing demand will be further stretched by overuse of other laboratory testing. Overuse of ineffective treatments adds stress to nurses, pharmacists, and other front-line staff taking care of ill patients. Side effects of unnecessary interventions, including those that could prolong hospitalization, would also increase strain on the system. Reducing overuse is also a way to reduce workload for hospital staff during a time of crisis. Improved efficiency of practice and less time spent on practices that do not add value to patient care can insulate staff against burnout.24 Hospitalization and healthcare costs can add to the stress and financial burden of patients and families.25 Clinicians can highlight harms of overuse through openly talking about it on rounds with the patients, families, and entire care team and incorporating it into health system–wide messaging.
CONCLUSION
As vaccine distribution continues, like many clinicians, we are hopeful that the worst days of the pandemic are behind us. The crucible of the COVID-19 pandemic has undoubtedly changed us as clinicians and impacted our future practice patterns. We believe there is a need to challenge ourselves to continue to think from a value mindset even in times of crisis. Furthermore, there are important opportunities to learn from our response to the COVID-19 pandemic and find strategies for minimizing LVC outside the pandemic. We believe the lessons learned around improving value during this pandemic can strengthen our response to the next novel, widespread threat and reduce waste in our care systems, with a potential to increase the resilience of systems in the future.
1. Rokach A. Psychological, emotional and physical experiences of hospitalized children. Clin Case Rep Rev. 2016;2. https://doi.org/10.15761/CCRR.1000227
2. Stockwell DC, Landrigan CP, Toomey SL, et al. Adverse events in hospitalized pediatric patients. Pediatrics. 2018;142(2):e20173360. https://doi.org/10.1542/peds.2017-3360
3. Coon ER, Quinonez RA, Moyer VA, Schroeder AR. Overdiagnosis: how our compulsion for diagnosis may be harming children. Pediatrics. 2014;134(5):1013-1023. https://doi.org/10.1542/peds.2014-1778
4. Bui AL, Dieleman JL, Hamavid H, et al. Spending on children’s personal health care in the United States, 1996-2013. JAMA Pediatr. 2017;171(2):181-189. https://doi.org/10.1001/jamapediatrics.2016.4086
5. Ilgen JS, Eva KW, de Bruin A, Cook DA, Regehr G. Comfort with uncertainty: reframing our conceptions of how clinicians navigate complex clinical situations. Adv Health Sci Theory Pract. 2019;24(4):797-809. https://doi.org/10.1007/s10459-018-9859-5
6. Allison JJ, Kiefe CI, Cook EF, Gerrity MS, Orav EJ, Centor R. The association of physician attitudes about uncertainty and risk taking with resource use in a Medicare HMO. Med Decis Making. 1998;18(3):320-329. https://doi.org/10.1177/0272989X9801800310
7. Beck JB, Long M, Ryan MS. Into the unknown: helping learners become more comfortable with diagnostic uncertainty. Pediatrics. 2020;146(5):e2020027300. https://doi.org/10.1542/peds.2020-027300
8. Marshall NC, Kariyawasam RM, Zelyas N, Kanji JN, Diggle MA. Broad respiratory testing to identify SARS-CoV-2 viral co-circulation and inform diagnostic stewardship in the COVID-19 pandemic. Virol J. 2021;18(1):93. https://doi.org/10.1186/s12985-021-01545-9
9. Zimmermann P, Curtis N. Coronavirus infections in children including COVID-19: an overview of the epidemiology, clinical features, diagnosis, treatment and prevention options in children. Pediatr Infect Dis J. 2020;39(5):355-368. https://doi.org/10.1097/INF.0000000000002660
10. Morrison JM, Dudas RA, Collins K. The power and peril of panels. Hosp Pediatr. 2018;8(11):729-732. https://doi.org/10.1542/hpeds.2018-0093
11. Wise J, Coombes R. Covid-19: the inside story of the RECOVERY trial. BMJ. 2020;370:m2670. https://doi.org/10.1136/bmj.m2670.
12. Feldstein LR, Rose EB, Horwitz SM, et al. Multisystem inflammatory syndrome in U.S. children and adolescents. N Engl J Med. 2020;383(4):334-346.
13. Pourbagheri-Sigaroodi A, Bashash D, Fateh F, Abolghasemi H. Laboratory findings in COVID-19 diagnosis and prognosis. Clin Chim Acta. 2020;510:475-482. https://doi.org/10.1056/NEJMoa2021680
14. Henry BM, Benoit SW, de Oliveira MHS, et al. Laboratory abnormalities in children with mild and severe coronavirus disease 2019 (COVID-19): a pooled analysis and review. Clin Biochem. 2020;81:1-8. https://doi.org/10.1016/j.clinbiochem.2020.05.012
15. Centers for Disease Control and Prevention. Information for healthcare providers about multisystem inflammatory syndrome in children (MIS-C). Accessed July 7, 2021. https://www.cdc.gov/mis/hcp/index.html
16. Molloy M, Jerardi K, Marshall T. What are we missing in our search for MIS-C? Hosp Pediatr. 2021;11(4):e66-e69. https://doi.org/10.1542/hpeds.2020-005579
17. Cho HJ, Feldman LS, Keller S, Hoffman A, Pahwa AK, Krouss M. Choosing Wisely in the COVID-19 era: preventing harm to healthcare workers. J Hosp Med. 2020;15(6):360-362. https://doi.org/10.12788/jhm.3457
18. Synhorst DC, Bettenhausen JL, Hall M, et al. Healthcare encounter and financial impact of COVID-19 on children’s hospitals. J Hosp Med. 2021;16(4):223-226. https://doi.org/10.12788/jhm.3572
19. Algaze CA, Wood M, Pageler NM, Sharek PJ, Longhurst CA, Shin AY. Use of a checklist and clinical decision support tool reduces laboratory use and improves cost. Pediatrics. 2016;137(1). https://doi.org/10.1542/peds.2014-3019
20. Rao S, Kwan BM, Curtis DJ, et al. Implementation of a rapid evidence assessment infrastructure during the coronavirus disease 2019 (COVID-19) pandemic to develop policies, clinical pathways, stimulate academic research, and create educational opportunities. J Pediatr. 2021;230:4-8.e2. https://doi.org/10.1016/j.jpeds.2020.10.029
21. Gill PJ, Mahant S. Deimplementation of established medical practice without intervention: does it actually happen? J Hosp Med. 2020;15(12):765-766. https://doi.org/10.12788/jhm.3467
22. Coon ER, Destino LA, Greene TH, Vukin E, Stoddard G, Schroeder AR. Comparison of as-needed and scheduled posthospitalization follow-up for children hospitalized for bronchiolitis: the Bronchiolitis Follow-up Intervention Trial (BeneFIT) randomized clinical trial. JAMA Pediatr. 2020;174(9):e201937. https://doi.org/10.1001/jamapediatrics.2020.1937
23. Steuart R, Huang FS, Schaffzin JK, Thomson J. Finding the value in personal protective equipment for hospitalized patients during a pandemic and beyond. J Hosp Med. 2020;15(5):295-298. https://doi.org/10.12788/jhm.3429
24. Pierce RG, Diaz M, Kneeland P. Optimizing well-being, practice culture, and professional thriving in an era of turbulence. J Hosp Med. 2019;14(2):126-128. https://doi.org/10.12788/jhm.3101
25. Commodari E. Children staying in hospital: a research on psychological stress of caregivers. Ital J Pediatr. 2010;36:40. https://doi.org/10.1186/1824-7288-36-40
High-value care (HVC) is a philosophy and approach to medicine that focuses on achieving the best patient outcomes through evidence-based practice while minimizing harm to patients, wasted healthcare resources, and costs. Incorporating HVC principles in pediatric clinical decision-making is particularly important owing to the harms of hospitalization, overutilization, and overdiagnosis, as well as rising costs of pediatric care.1-4 How can we maintain these principles in the face of a global pandemic and new emerging syndrome, multisystem inflammatory syndrome in children (MIS-C), which has dramatically impacted healthcare systems for children?
In this article, we discuss the barriers and opportunities around practicing HVC in our evolving approach to novel COVID-19 management in hospitalized children. We also draw lessons from our experiences on how we can respond to future events that rapidly shift our approach to care.
BARRIERS TO PROVIDING HVC FOR HOSPITALIZED CHILDREN DURING COVID-19
As children’s hospitals and pediatric providers responded to the COVID-19 pandemic, practice recommendations were implemented rapidly and changed rapidly. A major challenge with an event like this is how we respond to the unknown and uncertainty, something most healthcare workers are not comfortable doing at baseline,5,6 particularly trainees and early-career physicians.7 With the benefit of hindsight, many early clinical approaches to care may now be seen as low-value care (LVC). For example, COVID-19 test availability was initially limited, and many hospitals utilized respiratory viral panels (RVPs) to potentially eliminate COVID-19 as an etiology of symptoms. RVP use increased during this time8; however, studies have shown that the co-infection rate of SARS-CoV2 with other respiratory viruses varies widely, so a positive RVP was of uncertain benefit.9 In addition, routine RVP use is often low value and may lead to overdiagnosis, additional overtesting cascades, and, at times, false reassurance and premature closure of the diagnostic workup.10
As our understanding of COVID-19 has expanded, rapid changes in treatment have also occurred. Early data were often preliminary and based on small trials of adults, and treatments ranged from inexpensive and available (dexamethasone) to quite expensive (remdesivir, monoclonal antibodies). Pragmatic randomized controlled trials (RCTs) are an important tool that may have been underutilized in pediatrics. Similar to our adult hospitalist colleagues’ experience,11 the rapid rise in cases provided an opportunity to collaborate across institutions to assess which treatments were most effective. In particular, the predictable rise in rates of MIS-C after a surge in COVID-19 cases could have provided an avenue to evaluate the relative effectiveness of the various treatments used.12 However, there were limited pediatric RCTs and thus a missed opportunity to establish an evidence-based pediatric standard of care for COVID-19 and MIS-C. This resulted in the development and dissemination of care practices before they were fully tested in children.
Similarly, the medical community has become increasingly aware of laboratory findings that may be predictive of clinical course.13 The outcomes of COVID and MIS-C are potentially severe, so looking for “early warning signs” with diagnostic testing is appealing. Clinicians responding to early data, and with a fear of missing something, may order a full panel of bloodwork for admitted patients to assist with decision-making and may underestimate the perceived minor harms and cost of unnecessary testing/admissions.3 However, most of the evidence regarding lab values came from the adult population. There is little understanding of how lab values impact pediatric-specific outcomes.14 Even for MIS-C, a pediatric-specific condition, early protocols emphasize broad testing approaches.15 A focus on grave (but rare) outcomes from a novel virus may also distract from more common causes of symptoms and lead to missed common diagnoses that are less severe.16 For both testing and treatment, having this early information before clear evidence on how it guided care may have caused more harm than benefit. Again, RCTs may have helped guide MIS-C therapies and protocol development.
Changing workflows may also create new barriers to HVC. One of the recommendations from Choosing Wisely® during the COVID-19 pandemic was to batch lab draws17 to reduce the risk of exposure to healthcare workers performing phlebotomy, as well as staff who transport, handle, and process bloodwork in the lab. This may inadvertently encourage the approach of getting a lab test “in case” we need it with a single daily blood draw. In trying to avoid multiple encounters (and conserve personal protective equipment [PPE]), we may be taking a less stepwise approach than in prepandemic times.
Finally, children’s hospitals witnessed significant financial challenges and reductions in patient volume related to the pandemic.18 Reductions in patient volume could present a potential opportunity for practicing HVC (eg, more time to discuss downstream effects) or alternatively could inadvertently incentivize low-value, low-priority care via messaging around preserving financial viability.
For clinicians and healthcare systems, these examples highlight why we may be predisposed to practicing LVC during a pandemic or similar emerging threat.
STRATEGIES FOR HVC PRACTICE DURING FUTURE MAJOR EVENTS
In light of these challenging clinical scenarios and nonclinical factors that predispose us to LVC, how can we reinforce a high-value approach to care during a pandemic or similar emerging threat? The following five specific concepts may help providers and organizations optimize HVC during this pandemic and in future situations:
- Utilize pediatric RCTs to provide evidence-based recommendations. In the face of a novel virus with unclear manifestations, treatment options were rapidly implemented without time for careful evaluation. In the future, collaboratively utilizing shared resources in the research community could help rapidly and rigorously evaluate outcomes in the pursuit of evidence-based practice.
- Use standardization as a tool to mitigate uncertainty. Knowing that uncertainty can be a driver of overuse and that during emerging threats, evidence is scarce and rapidly changing, a structured method for standardizing practice across your institution or multiple institutions can be helpful in many ways. Electronic health record–based orders and guidelines provide a standard of care to relieve uncertainty and have been shown to reduce overtesting.19 These resources can also be adapted rapidly as evidence emerges, reducing the burden on providers to know the latest evolving best practice. Experts who have reviewed the literature should have a method to quickly disseminate these findings through standardized practice, providing a venue for rapid learning and implementation.20
- Plan for active deimplementation from the outset. It is inevitable that some practices implemented early in pandemic response may need to be deimplemented later as the evidence and situation evolve. However, there is ample evidence that deimplementation can be difficult.21 Building in deimplementation mechanisms, such as standing educational sessions or hospital committees dedicated to value that review practices, from the beginning may ease these changes.
- Take advantage of novel opportunities to improve value. Early stop-gap interventions may be wasteful, but the upheaval from major events may also create novel opportunities to improve value in other ways. Some of these efforts, like PPE conservation and as-needed follow-up visits, may become useful methods to improve value even after the pandemic ends.22,23 The decreased pursuit of healthcare during the pandemic may also have given us an opportunity to better define when delayed diagnosis or even nondiagnosis for certain conditions is acceptable and when it may cause harm.
- Highlight harms of overuse. While avoiding unnecessary costs is an important aspect of reducing overuse, often the other human-centered harms of overuse are better motivators for HVC. Especially during the response to an emerging threat, the impacts of overuse may be compounded. Laboratory resources that are strained to meet COVID-19 testing demand will be further stretched by overuse of other laboratory testing. Overuse of ineffective treatments adds stress to nurses, pharmacists, and other front-line staff taking care of ill patients. Side effects of unnecessary interventions, including those that could prolong hospitalization, would also increase strain on the system. Reducing overuse is also a way to reduce workload for hospital staff during a time of crisis. Improved efficiency of practice and less time spent on practices that do not add value to patient care can insulate staff against burnout.24 Hospitalization and healthcare costs can add to the stress and financial burden of patients and families.25 Clinicians can highlight harms of overuse through openly talking about it on rounds with the patients, families, and entire care team and incorporating it into health system–wide messaging.
CONCLUSION
As vaccine distribution continues, like many clinicians, we are hopeful that the worst days of the pandemic are behind us. The crucible of the COVID-19 pandemic has undoubtedly changed us as clinicians and impacted our future practice patterns. We believe there is a need to challenge ourselves to continue to think from a value mindset even in times of crisis. Furthermore, there are important opportunities to learn from our response to the COVID-19 pandemic and find strategies for minimizing LVC outside the pandemic. We believe the lessons learned around improving value during this pandemic can strengthen our response to the next novel, widespread threat and reduce waste in our care systems, with a potential to increase the resilience of systems in the future.
High-value care (HVC) is a philosophy and approach to medicine that focuses on achieving the best patient outcomes through evidence-based practice while minimizing harm to patients, wasted healthcare resources, and costs. Incorporating HVC principles in pediatric clinical decision-making is particularly important owing to the harms of hospitalization, overutilization, and overdiagnosis, as well as rising costs of pediatric care.1-4 How can we maintain these principles in the face of a global pandemic and new emerging syndrome, multisystem inflammatory syndrome in children (MIS-C), which has dramatically impacted healthcare systems for children?
In this article, we discuss the barriers and opportunities around practicing HVC in our evolving approach to novel COVID-19 management in hospitalized children. We also draw lessons from our experiences on how we can respond to future events that rapidly shift our approach to care.
BARRIERS TO PROVIDING HVC FOR HOSPITALIZED CHILDREN DURING COVID-19
As children’s hospitals and pediatric providers responded to the COVID-19 pandemic, practice recommendations were implemented rapidly and changed rapidly. A major challenge with an event like this is how we respond to the unknown and uncertainty, something most healthcare workers are not comfortable doing at baseline,5,6 particularly trainees and early-career physicians.7 With the benefit of hindsight, many early clinical approaches to care may now be seen as low-value care (LVC). For example, COVID-19 test availability was initially limited, and many hospitals utilized respiratory viral panels (RVPs) to potentially eliminate COVID-19 as an etiology of symptoms. RVP use increased during this time8; however, studies have shown that the co-infection rate of SARS-CoV2 with other respiratory viruses varies widely, so a positive RVP was of uncertain benefit.9 In addition, routine RVP use is often low value and may lead to overdiagnosis, additional overtesting cascades, and, at times, false reassurance and premature closure of the diagnostic workup.10
As our understanding of COVID-19 has expanded, rapid changes in treatment have also occurred. Early data were often preliminary and based on small trials of adults, and treatments ranged from inexpensive and available (dexamethasone) to quite expensive (remdesivir, monoclonal antibodies). Pragmatic randomized controlled trials (RCTs) are an important tool that may have been underutilized in pediatrics. Similar to our adult hospitalist colleagues’ experience,11 the rapid rise in cases provided an opportunity to collaborate across institutions to assess which treatments were most effective. In particular, the predictable rise in rates of MIS-C after a surge in COVID-19 cases could have provided an avenue to evaluate the relative effectiveness of the various treatments used.12 However, there were limited pediatric RCTs and thus a missed opportunity to establish an evidence-based pediatric standard of care for COVID-19 and MIS-C. This resulted in the development and dissemination of care practices before they were fully tested in children.
Similarly, the medical community has become increasingly aware of laboratory findings that may be predictive of clinical course.13 The outcomes of COVID and MIS-C are potentially severe, so looking for “early warning signs” with diagnostic testing is appealing. Clinicians responding to early data, and with a fear of missing something, may order a full panel of bloodwork for admitted patients to assist with decision-making and may underestimate the perceived minor harms and cost of unnecessary testing/admissions.3 However, most of the evidence regarding lab values came from the adult population. There is little understanding of how lab values impact pediatric-specific outcomes.14 Even for MIS-C, a pediatric-specific condition, early protocols emphasize broad testing approaches.15 A focus on grave (but rare) outcomes from a novel virus may also distract from more common causes of symptoms and lead to missed common diagnoses that are less severe.16 For both testing and treatment, having this early information before clear evidence on how it guided care may have caused more harm than benefit. Again, RCTs may have helped guide MIS-C therapies and protocol development.
Changing workflows may also create new barriers to HVC. One of the recommendations from Choosing Wisely® during the COVID-19 pandemic was to batch lab draws17 to reduce the risk of exposure to healthcare workers performing phlebotomy, as well as staff who transport, handle, and process bloodwork in the lab. This may inadvertently encourage the approach of getting a lab test “in case” we need it with a single daily blood draw. In trying to avoid multiple encounters (and conserve personal protective equipment [PPE]), we may be taking a less stepwise approach than in prepandemic times.
Finally, children’s hospitals witnessed significant financial challenges and reductions in patient volume related to the pandemic.18 Reductions in patient volume could present a potential opportunity for practicing HVC (eg, more time to discuss downstream effects) or alternatively could inadvertently incentivize low-value, low-priority care via messaging around preserving financial viability.
For clinicians and healthcare systems, these examples highlight why we may be predisposed to practicing LVC during a pandemic or similar emerging threat.
STRATEGIES FOR HVC PRACTICE DURING FUTURE MAJOR EVENTS
In light of these challenging clinical scenarios and nonclinical factors that predispose us to LVC, how can we reinforce a high-value approach to care during a pandemic or similar emerging threat? The following five specific concepts may help providers and organizations optimize HVC during this pandemic and in future situations:
- Utilize pediatric RCTs to provide evidence-based recommendations. In the face of a novel virus with unclear manifestations, treatment options were rapidly implemented without time for careful evaluation. In the future, collaboratively utilizing shared resources in the research community could help rapidly and rigorously evaluate outcomes in the pursuit of evidence-based practice.
- Use standardization as a tool to mitigate uncertainty. Knowing that uncertainty can be a driver of overuse and that during emerging threats, evidence is scarce and rapidly changing, a structured method for standardizing practice across your institution or multiple institutions can be helpful in many ways. Electronic health record–based orders and guidelines provide a standard of care to relieve uncertainty and have been shown to reduce overtesting.19 These resources can also be adapted rapidly as evidence emerges, reducing the burden on providers to know the latest evolving best practice. Experts who have reviewed the literature should have a method to quickly disseminate these findings through standardized practice, providing a venue for rapid learning and implementation.20
- Plan for active deimplementation from the outset. It is inevitable that some practices implemented early in pandemic response may need to be deimplemented later as the evidence and situation evolve. However, there is ample evidence that deimplementation can be difficult.21 Building in deimplementation mechanisms, such as standing educational sessions or hospital committees dedicated to value that review practices, from the beginning may ease these changes.
- Take advantage of novel opportunities to improve value. Early stop-gap interventions may be wasteful, but the upheaval from major events may also create novel opportunities to improve value in other ways. Some of these efforts, like PPE conservation and as-needed follow-up visits, may become useful methods to improve value even after the pandemic ends.22,23 The decreased pursuit of healthcare during the pandemic may also have given us an opportunity to better define when delayed diagnosis or even nondiagnosis for certain conditions is acceptable and when it may cause harm.
- Highlight harms of overuse. While avoiding unnecessary costs is an important aspect of reducing overuse, often the other human-centered harms of overuse are better motivators for HVC. Especially during the response to an emerging threat, the impacts of overuse may be compounded. Laboratory resources that are strained to meet COVID-19 testing demand will be further stretched by overuse of other laboratory testing. Overuse of ineffective treatments adds stress to nurses, pharmacists, and other front-line staff taking care of ill patients. Side effects of unnecessary interventions, including those that could prolong hospitalization, would also increase strain on the system. Reducing overuse is also a way to reduce workload for hospital staff during a time of crisis. Improved efficiency of practice and less time spent on practices that do not add value to patient care can insulate staff against burnout.24 Hospitalization and healthcare costs can add to the stress and financial burden of patients and families.25 Clinicians can highlight harms of overuse through openly talking about it on rounds with the patients, families, and entire care team and incorporating it into health system–wide messaging.
CONCLUSION
As vaccine distribution continues, like many clinicians, we are hopeful that the worst days of the pandemic are behind us. The crucible of the COVID-19 pandemic has undoubtedly changed us as clinicians and impacted our future practice patterns. We believe there is a need to challenge ourselves to continue to think from a value mindset even in times of crisis. Furthermore, there are important opportunities to learn from our response to the COVID-19 pandemic and find strategies for minimizing LVC outside the pandemic. We believe the lessons learned around improving value during this pandemic can strengthen our response to the next novel, widespread threat and reduce waste in our care systems, with a potential to increase the resilience of systems in the future.
1. Rokach A. Psychological, emotional and physical experiences of hospitalized children. Clin Case Rep Rev. 2016;2. https://doi.org/10.15761/CCRR.1000227
2. Stockwell DC, Landrigan CP, Toomey SL, et al. Adverse events in hospitalized pediatric patients. Pediatrics. 2018;142(2):e20173360. https://doi.org/10.1542/peds.2017-3360
3. Coon ER, Quinonez RA, Moyer VA, Schroeder AR. Overdiagnosis: how our compulsion for diagnosis may be harming children. Pediatrics. 2014;134(5):1013-1023. https://doi.org/10.1542/peds.2014-1778
4. Bui AL, Dieleman JL, Hamavid H, et al. Spending on children’s personal health care in the United States, 1996-2013. JAMA Pediatr. 2017;171(2):181-189. https://doi.org/10.1001/jamapediatrics.2016.4086
5. Ilgen JS, Eva KW, de Bruin A, Cook DA, Regehr G. Comfort with uncertainty: reframing our conceptions of how clinicians navigate complex clinical situations. Adv Health Sci Theory Pract. 2019;24(4):797-809. https://doi.org/10.1007/s10459-018-9859-5
6. Allison JJ, Kiefe CI, Cook EF, Gerrity MS, Orav EJ, Centor R. The association of physician attitudes about uncertainty and risk taking with resource use in a Medicare HMO. Med Decis Making. 1998;18(3):320-329. https://doi.org/10.1177/0272989X9801800310
7. Beck JB, Long M, Ryan MS. Into the unknown: helping learners become more comfortable with diagnostic uncertainty. Pediatrics. 2020;146(5):e2020027300. https://doi.org/10.1542/peds.2020-027300
8. Marshall NC, Kariyawasam RM, Zelyas N, Kanji JN, Diggle MA. Broad respiratory testing to identify SARS-CoV-2 viral co-circulation and inform diagnostic stewardship in the COVID-19 pandemic. Virol J. 2021;18(1):93. https://doi.org/10.1186/s12985-021-01545-9
9. Zimmermann P, Curtis N. Coronavirus infections in children including COVID-19: an overview of the epidemiology, clinical features, diagnosis, treatment and prevention options in children. Pediatr Infect Dis J. 2020;39(5):355-368. https://doi.org/10.1097/INF.0000000000002660
10. Morrison JM, Dudas RA, Collins K. The power and peril of panels. Hosp Pediatr. 2018;8(11):729-732. https://doi.org/10.1542/hpeds.2018-0093
11. Wise J, Coombes R. Covid-19: the inside story of the RECOVERY trial. BMJ. 2020;370:m2670. https://doi.org/10.1136/bmj.m2670.
12. Feldstein LR, Rose EB, Horwitz SM, et al. Multisystem inflammatory syndrome in U.S. children and adolescents. N Engl J Med. 2020;383(4):334-346.
13. Pourbagheri-Sigaroodi A, Bashash D, Fateh F, Abolghasemi H. Laboratory findings in COVID-19 diagnosis and prognosis. Clin Chim Acta. 2020;510:475-482. https://doi.org/10.1056/NEJMoa2021680
14. Henry BM, Benoit SW, de Oliveira MHS, et al. Laboratory abnormalities in children with mild and severe coronavirus disease 2019 (COVID-19): a pooled analysis and review. Clin Biochem. 2020;81:1-8. https://doi.org/10.1016/j.clinbiochem.2020.05.012
15. Centers for Disease Control and Prevention. Information for healthcare providers about multisystem inflammatory syndrome in children (MIS-C). Accessed July 7, 2021. https://www.cdc.gov/mis/hcp/index.html
16. Molloy M, Jerardi K, Marshall T. What are we missing in our search for MIS-C? Hosp Pediatr. 2021;11(4):e66-e69. https://doi.org/10.1542/hpeds.2020-005579
17. Cho HJ, Feldman LS, Keller S, Hoffman A, Pahwa AK, Krouss M. Choosing Wisely in the COVID-19 era: preventing harm to healthcare workers. J Hosp Med. 2020;15(6):360-362. https://doi.org/10.12788/jhm.3457
18. Synhorst DC, Bettenhausen JL, Hall M, et al. Healthcare encounter and financial impact of COVID-19 on children’s hospitals. J Hosp Med. 2021;16(4):223-226. https://doi.org/10.12788/jhm.3572
19. Algaze CA, Wood M, Pageler NM, Sharek PJ, Longhurst CA, Shin AY. Use of a checklist and clinical decision support tool reduces laboratory use and improves cost. Pediatrics. 2016;137(1). https://doi.org/10.1542/peds.2014-3019
20. Rao S, Kwan BM, Curtis DJ, et al. Implementation of a rapid evidence assessment infrastructure during the coronavirus disease 2019 (COVID-19) pandemic to develop policies, clinical pathways, stimulate academic research, and create educational opportunities. J Pediatr. 2021;230:4-8.e2. https://doi.org/10.1016/j.jpeds.2020.10.029
21. Gill PJ, Mahant S. Deimplementation of established medical practice without intervention: does it actually happen? J Hosp Med. 2020;15(12):765-766. https://doi.org/10.12788/jhm.3467
22. Coon ER, Destino LA, Greene TH, Vukin E, Stoddard G, Schroeder AR. Comparison of as-needed and scheduled posthospitalization follow-up for children hospitalized for bronchiolitis: the Bronchiolitis Follow-up Intervention Trial (BeneFIT) randomized clinical trial. JAMA Pediatr. 2020;174(9):e201937. https://doi.org/10.1001/jamapediatrics.2020.1937
23. Steuart R, Huang FS, Schaffzin JK, Thomson J. Finding the value in personal protective equipment for hospitalized patients during a pandemic and beyond. J Hosp Med. 2020;15(5):295-298. https://doi.org/10.12788/jhm.3429
24. Pierce RG, Diaz M, Kneeland P. Optimizing well-being, practice culture, and professional thriving in an era of turbulence. J Hosp Med. 2019;14(2):126-128. https://doi.org/10.12788/jhm.3101
25. Commodari E. Children staying in hospital: a research on psychological stress of caregivers. Ital J Pediatr. 2010;36:40. https://doi.org/10.1186/1824-7288-36-40
1. Rokach A. Psychological, emotional and physical experiences of hospitalized children. Clin Case Rep Rev. 2016;2. https://doi.org/10.15761/CCRR.1000227
2. Stockwell DC, Landrigan CP, Toomey SL, et al. Adverse events in hospitalized pediatric patients. Pediatrics. 2018;142(2):e20173360. https://doi.org/10.1542/peds.2017-3360
3. Coon ER, Quinonez RA, Moyer VA, Schroeder AR. Overdiagnosis: how our compulsion for diagnosis may be harming children. Pediatrics. 2014;134(5):1013-1023. https://doi.org/10.1542/peds.2014-1778
4. Bui AL, Dieleman JL, Hamavid H, et al. Spending on children’s personal health care in the United States, 1996-2013. JAMA Pediatr. 2017;171(2):181-189. https://doi.org/10.1001/jamapediatrics.2016.4086
5. Ilgen JS, Eva KW, de Bruin A, Cook DA, Regehr G. Comfort with uncertainty: reframing our conceptions of how clinicians navigate complex clinical situations. Adv Health Sci Theory Pract. 2019;24(4):797-809. https://doi.org/10.1007/s10459-018-9859-5
6. Allison JJ, Kiefe CI, Cook EF, Gerrity MS, Orav EJ, Centor R. The association of physician attitudes about uncertainty and risk taking with resource use in a Medicare HMO. Med Decis Making. 1998;18(3):320-329. https://doi.org/10.1177/0272989X9801800310
7. Beck JB, Long M, Ryan MS. Into the unknown: helping learners become more comfortable with diagnostic uncertainty. Pediatrics. 2020;146(5):e2020027300. https://doi.org/10.1542/peds.2020-027300
8. Marshall NC, Kariyawasam RM, Zelyas N, Kanji JN, Diggle MA. Broad respiratory testing to identify SARS-CoV-2 viral co-circulation and inform diagnostic stewardship in the COVID-19 pandemic. Virol J. 2021;18(1):93. https://doi.org/10.1186/s12985-021-01545-9
9. Zimmermann P, Curtis N. Coronavirus infections in children including COVID-19: an overview of the epidemiology, clinical features, diagnosis, treatment and prevention options in children. Pediatr Infect Dis J. 2020;39(5):355-368. https://doi.org/10.1097/INF.0000000000002660
10. Morrison JM, Dudas RA, Collins K. The power and peril of panels. Hosp Pediatr. 2018;8(11):729-732. https://doi.org/10.1542/hpeds.2018-0093
11. Wise J, Coombes R. Covid-19: the inside story of the RECOVERY trial. BMJ. 2020;370:m2670. https://doi.org/10.1136/bmj.m2670.
12. Feldstein LR, Rose EB, Horwitz SM, et al. Multisystem inflammatory syndrome in U.S. children and adolescents. N Engl J Med. 2020;383(4):334-346.
13. Pourbagheri-Sigaroodi A, Bashash D, Fateh F, Abolghasemi H. Laboratory findings in COVID-19 diagnosis and prognosis. Clin Chim Acta. 2020;510:475-482. https://doi.org/10.1056/NEJMoa2021680
14. Henry BM, Benoit SW, de Oliveira MHS, et al. Laboratory abnormalities in children with mild and severe coronavirus disease 2019 (COVID-19): a pooled analysis and review. Clin Biochem. 2020;81:1-8. https://doi.org/10.1016/j.clinbiochem.2020.05.012
15. Centers for Disease Control and Prevention. Information for healthcare providers about multisystem inflammatory syndrome in children (MIS-C). Accessed July 7, 2021. https://www.cdc.gov/mis/hcp/index.html
16. Molloy M, Jerardi K, Marshall T. What are we missing in our search for MIS-C? Hosp Pediatr. 2021;11(4):e66-e69. https://doi.org/10.1542/hpeds.2020-005579
17. Cho HJ, Feldman LS, Keller S, Hoffman A, Pahwa AK, Krouss M. Choosing Wisely in the COVID-19 era: preventing harm to healthcare workers. J Hosp Med. 2020;15(6):360-362. https://doi.org/10.12788/jhm.3457
18. Synhorst DC, Bettenhausen JL, Hall M, et al. Healthcare encounter and financial impact of COVID-19 on children’s hospitals. J Hosp Med. 2021;16(4):223-226. https://doi.org/10.12788/jhm.3572
19. Algaze CA, Wood M, Pageler NM, Sharek PJ, Longhurst CA, Shin AY. Use of a checklist and clinical decision support tool reduces laboratory use and improves cost. Pediatrics. 2016;137(1). https://doi.org/10.1542/peds.2014-3019
20. Rao S, Kwan BM, Curtis DJ, et al. Implementation of a rapid evidence assessment infrastructure during the coronavirus disease 2019 (COVID-19) pandemic to develop policies, clinical pathways, stimulate academic research, and create educational opportunities. J Pediatr. 2021;230:4-8.e2. https://doi.org/10.1016/j.jpeds.2020.10.029
21. Gill PJ, Mahant S. Deimplementation of established medical practice without intervention: does it actually happen? J Hosp Med. 2020;15(12):765-766. https://doi.org/10.12788/jhm.3467
22. Coon ER, Destino LA, Greene TH, Vukin E, Stoddard G, Schroeder AR. Comparison of as-needed and scheduled posthospitalization follow-up for children hospitalized for bronchiolitis: the Bronchiolitis Follow-up Intervention Trial (BeneFIT) randomized clinical trial. JAMA Pediatr. 2020;174(9):e201937. https://doi.org/10.1001/jamapediatrics.2020.1937
23. Steuart R, Huang FS, Schaffzin JK, Thomson J. Finding the value in personal protective equipment for hospitalized patients during a pandemic and beyond. J Hosp Med. 2020;15(5):295-298. https://doi.org/10.12788/jhm.3429
24. Pierce RG, Diaz M, Kneeland P. Optimizing well-being, practice culture, and professional thriving in an era of turbulence. J Hosp Med. 2019;14(2):126-128. https://doi.org/10.12788/jhm.3101
25. Commodari E. Children staying in hospital: a research on psychological stress of caregivers. Ital J Pediatr. 2010;36:40. https://doi.org/10.1186/1824-7288-36-40
© 2021 Society of Hospital Medicine
Opportunities for Stewardship in the Transition From Intravenous to Enteral Antibiotics in Hospitalized Pediatric Patients
Bacterial infections are a common reason for pediatric hospital admissions in the United States.1 Antibiotics are the mainstay of treatment, and whether to administer them intravenously (IV) or enterally is an important and, at times, challenging decision. Not all hospitalized patients with infections require IV antibiotics, and safe, effective early transitions to enteral therapy have been described for numerous infections.2-7 However, guidelines describing the ideal initial route of antibiotic administration and when to transition to oral therapy are lacking.5,7,8 This lack of high-quality evidence-based guidance may contribute to overuse of IV antibiotics for many hospitalized pediatric patients, even when safe and effective enteral options exist.9
Significant costs and harms are associated with the use of IV antibiotics. In particular, studies have demonstrated longer length of stay (LOS), increased costs, and worsened pain or anxiety related to complications (eg, phlebitis, extravasation injury, thrombosis, catheter-associated bloodstream infections) associated with IV antibiotics.3,4,10-13 Earlier transition to enteral therapy, however, can mitigate these increased risks and costs.
The Centers for Disease Control and Prevention lists the transition from IV to oral antibiotics as a key stewardship intervention for improving antibiotic use.14 The Infectious Diseases Society of America (IDSA) antibiotic stewardship program guidelines strongly recommend the timely conversion from IV to oral antibiotics, stating that efforts focusing on this transition should be integrated into routine practice.15 There are a few metrics in the literature to measure this intervention, but none is universally used, and a modified delphi process could not reach consensus on IV-to-oral transition metrics.16
Few studies describe the opportunity to transition to enteral antibiotics in hospitalized patients with common bacterial infections or explore variation across hospitals. It is critical to understand current practice of antibiotic administration in order to identify opportunities to optimize patient outcomes and promote high-value care. Furthermore, few studies have evaluated the feasibility of IV-to-oral transition metrics using an administrative database. Thus, the aims of this study were to (1) determine opportunities to transition from IV to enteral antibiotics for pediatric patients hospitalized with common bacterial infections based on their ability to tolerate other enteral medications, (2) describe variation in transition practices among children’s hospitals, and (3) evaluate the feasibility of novel IV-to-oral transition metrics using an administrative database to inform stewardship efforts.
METHODS
Study Design and Setting
This multicenter, retrospective cohort study used data from the Pediatric Health Information System (PHIS), an administrative and billing database containing encounter-level data from 52 tertiary care pediatric hospitals across the United States affiliated with the Children’s Hospital Association (Lenexa, Kansas). Hospitals submit encounter-level data, including demographics, medications, and diagnoses based on International Classification of Disease, Tenth Revision, Clinical Modification (ICD-10-CM) codes. Data were de-identified at the time of submission, and data quality and reliability were assured by joint efforts between the Children’s Hospital Association and participating hospitals.
Study Population
This study included pediatric patients aged 60 days to 18 years who were hospitalized (inpatient or observation status) at one of the participating hospitals between January 1, 2017, and December 31, 2018, for one of the following seven common bacterial infections: community-acquired pneumonia (CAP), neck infection (superficial and deep), periorbital/orbital infection, urinary tract infection (UTI), osteomyelitis, septic arthritis, or skin and soft tissue infection (SSTI). The diagnosis cohorts were defined based on ICD-10-CM discharge diagnoses adapted from previous studies (Appendix Table 1).3,17-23 To define a cohort of generally healthy pediatric patients with an acute infection, we excluded patients hospitalized in the intensive care unit, patients with nonhome discharges, and patients with complex chronic conditions.24 We also excluded hospitals with incomplete data during the study period (n=1). The Institutional Review Board at Cincinnati Children’s Hospital Medical Center determined this study to be non–human-subjects research.
Outcomes
The primary outcomes were the number of opportunity days and the percent of days with opportunity to transition from IV to enteral therapy. Opportunity days, or days in which there was a potential opportunity to transition from IV to enteral antibiotics, were defined as days patients received only IV antibiotic doses and at least one enteral nonantibiotic medication, suggesting an ability to take enteral medications.13 We excluded days patients received IV antibiotics for which there was no enteral alternative (eg, vancomycin, Appendix Table 2). When measuring opportunity, to be conservative (ie, to underestimate rather than overestimate opportunity), we did not count as an opportunity day any day in which patients received both IV and enteral antibiotics. Percent opportunity, or the percent of days patients received antibiotics in which there was potential opportunity to transition from IV to enteral antibiotics, was defined as the number of opportunity days divided by number of inpatient days patients received enteral antibiotics or IV antibiotics with at least one enteral nonantibiotic medication (antibiotic days). Similar to opportunity days, antibiotic days excluded days patients were on IV antibiotics for which there was no enteral alternative. Based on our definition, a lower percent opportunity indicates that a hospital is using enteral antibiotics earlier during the hospitalization (earlier transition), while a higher percent opportunity represents later enteral antibiotic use (later transition).
Statistical Analysis
Demographic and clinical characteristics were summarized by diagnosis with descriptive statistics, including frequency with percentage, mean with standard deviation, and median with interquartile range (IQR). For each diagnosis, we evaluated aggregate opportunity days (sum of opportunity days among all hospitals), opportunity days per encounter, and aggregate percent opportunity using frequencies, mean with standard deviation, and percentages, respectively. We also calculated aggregate opportunity days for diagnosis-antibiotic combinations. To visually show variation in the percent opportunity across hospitals, we displayed the percent opportunity on a heat map, and evaluated percent opportunity across hospitals using chi-square tests. To compare the variability in the percent opportunity across and within hospitals, we used a generalized linear model with two fixed effects (hospital and diagnosis), and parsed the variability using the sum of squares. We performed a sensitivity analysis and excluded days that patients received antiemetic medications (eg, ondansetron, granisetron, prochlorperazine, promethazine), as these suggest potential intolerance of enteral medications. All statistical analyses were performed using SAS v.9.4 (SAS Institute Inc, Cary, North Carolina) and GraphPad Prism 8.0 (GraphPad Software Inc., San Diego, California), and P values < .05 were considered statistically significant.
RESULTS
During the 2-year study period, 100,103 hospitalizations met our inclusion criteria across 51 hospitals and seven diagnosis categories (Table 1). Diagnosis cohorts ranged in size from 1,462 encounters for septic arthritis to 35,665 encounters for neck infections. Overall, we identified 88,522 aggregate opportunity days on which there was an opportunity to switch from IV to enteral treatment in the majority of participants (percent opportunity, 57%).
Opportunity by Diagnosis
The number of opportunity days (aggregate and mean per encounter) and percent opportunity varied by diagnosis (Table 2). The aggregate number of opportunity days ranged from 3,693 in patients with septic arthritis to 25,359 in patients with SSTI, and mean opportunity days per encounter ranged from 0.9 in CAP to 2.8 in septic arthritis. Percent opportunity was highest for septic arthritis at 72.7% and lowest for CAP at 39.7%.
Variation in Opportunity Among Hospitals
The variation in the percent opportunity across hospitals was statistically significant for all diagnoses (Figure). Within hospitals, we observed similar practice patterns across diagnoses. For example, hospitals with a higher percent opportunity for one diagnosis tended to have higher percent opportunity for the other diagnoses (as noted in the top portion of the Figure), and those with lower percent opportunity for one diagnosis tended to also have lower percent opportunity for the other diagnoses studied (as noted in the bottom portion of the Figure). When evaluating variability in the percent opportunity, 45% of the variability was attributable to the hospital-effect and 35% to the diagnosis; the remainder was unexplained variability. Sensitivity analysis excluding days when patients received an antiemetic medication yielded no differences in our results.
Opportunity by Antibiotic
The aggregate number of opportunity days varied by antibiotic (Table 3). Intravenous antibiotics with the largest number of opportunity days included clindamycin (44,293), ceftriaxone (23,896), and ampicillin-sulbactam (15,484). Antibiotic-diagnosis combinations with the largest number of opportunity days for each diagnosis included ceftriaxone and ampicillin in CAP; clindamycin in cellulitis, SSTI, and neck infections; ceftriaxone in UTI; and cefazolin in osteomyelitis and septic arthritis.
DISCUSSION
In this multicenter study of pediatric patients hospitalized with common bacterial infections, there was the potential to transition from IV to enteral treatment in over half of the antibiotic days. The degree of opportunity varied by infection, antibiotic, and hospital. Antibiotics with a large aggregate number of opportunity days for enteral transition included clindamycin, which has excellent bioavailability; and ampicillin and ampicillin-sulbactam, which can achieve pharmacodynamic targets with oral equivalents.25-29 The across-hospital variation for a given diagnosis suggests that certain hospitals have strategies in place which permit an earlier transition to enteral antibiotics compared to other institutions in which there were likely missed opportunities to do so. This variability is likely due to limited evidence, emphasizing the need for robust studies to better understand the optimal initial antibiotic route and transition time. Our findings highlight the need for, and large potential impact of, stewardship efforts to promote earlier transition for specific drug targets. This study also demonstrates the feasibility of obtaining two metrics—percent opportunity and opportunity days—from administrative databases to inform stewardship efforts within and across hospitals.
Opportunity days and percent opportunity varied among diagnoses. The variation in aggregate opportunity days was largely a reflection of the number of encounters: Diagnoses such as SSTI, neck infections, and CAP had a large number of both aggregate opportunity days and encounters. The range of opportunity days per encounter (0.9-2.5) suggests potential missed opportunities to transition to enteral antibiotics across all diagnoses (Table 2). The higher opportunity days per encounter in osteomyelitis and septic arthritis may be related to longer LOS and higher percent opportunity. Percent opportunity likely varied among diagnoses due to differences in admission and discharge readiness criteria, diagnostic evaluation, frequency of antibiotic administration, and evidence on the optimal route of initial antibiotics and when to transition to oral formulations. For example, we hypothesize that certain diagnoses, such as osteomyelitis and septic arthritis, have admission and discharge readiness criteria directly tied to the perceived need for IV antibiotics, which may limit in-hospital days on enteral antibiotics and explain the high percent opportunity that we observed. The high percent opportunity seen in musculoskeletal infections also may be due to delays in initiating targeted treatment until culture results were available. Encounters for CAP had the lowest percent opportunity; we hypothesize that this is because admission and discharge readiness may be determined by factors other than the need for IV antibiotics (eg, need for supplemental oxygen), which may increase days on enteral antibiotics and lead to a lower percent opportunity.30
Urinary tract infection encounters had a high percent opportunity. As with musculoskeletal infection, this may be related to delays in initiating targeted treatment until culture results became available. Another reason for the high percent opportunity in UTI could be the common use of ceftriaxone, which, dosed every 24 hours, likely reduced the opportunity to transition to enteral antibiotics. There is strong evidence demonstrating no difference in outcomes based on antibiotic routes for UTI, and we would expect this to result in a low percent opportunity.2,31 While the observed high opportunity in UTI may relate to an initial unknown diagnosis or concern for systemic infection, this highlights potential opportunities for quality improvement initiatives to promote empiric oral antibiotics in clinically stable patients hospitalized with suspected UTI.
There was substantial variation in percent opportunity across hospitals for a given diagnosis, with less variation across diagnoses for a given hospital. Variation across hospitals but consistency within individual hospitals suggests that some hospitals may promote earlier transition from IV to enteral antibiotics as standard practice for all diagnoses, while other hospitals continue IV antibiotics for the entire hospitalization, highlighting potential missed opportunities at some institutions. While emerging data suggest that traditional long durations of IV antibiotics are not necessary for many infections, the limited evidence on the optimal time to switch to oral antibiotics may have influenced this variation.2-7 Many guidelines recommend initial IV antibiotics for hospitalized pediatric patients, but there are few studies comparing IV and enteral therapy.2,5,9 Limited evidence leaves significant room for hospital culture, antibiotic stewardship efforts, reimbursement considerations, and/or hospital workflow to influence transition timing and overall opportunity at individual hospitals.7,8,32-34 These findings emphasize the importance of research to identify optimal transition time and comparative effectiveness studies to evaluate whether initial IV antibiotics are truly needed for mild—and even severe—disease presentations. Since many patients are admitted for the perceived need for IV antibiotics, earlier use of enteral antibiotics could reduce rates of hospitalizations, LOS, healthcare costs, and resource utilization.
Antibiotics with a high number of opportunity days included clindamycin, ceftriaxone, ampicillin-sublactam, and ampicillin. Our findings are consistent with another study which found that most bioavailable drugs, including clindamycin, were administered via the IV route and accounted for a large number of antibiotic days.35 The Infectious Diseases Society of America recommends that hospitals promote earlier transition to oral formulations for highly bioavailable drugs.7 Given the high bioavailability of clindamycin, its common use in high-frequency encounters such as SSTI and neck infections, and the fact that it accounted for a large number of opportunity days, quality improvement initiatives promoting earlier transition to oral clindamycin could have a large impact across health systems.25,26 Additionally, although beta-lactam antibiotics such as amoxicillin and amoxicillin-sulbactam are not highly bioavailable, oral dosing can achieve sufficient serum concentrations to reach pharmacodynamic targets for common clinical indications; this could be an important quality improvement initiative.27-29 Several single-site studies have successfully implemented quality improvement initiatives to promote earlier IV-to-enteral transition, with resulting reductions in costs and no adverse events noted, highlighting the feasibility and impact of such efforts.13,36-38
This study also demonstrates the feasibility of collecting two metrics (percent opportunity and opportunity days) from administrative databases to inform IV-to-oral transition benchmarking and stewardship efforts. While there are several metrics in the literature for evaluating antibiotic transition (eg, days of IV or oral therapy, percentage of antibiotics given via the oral route, time to switch from IV to oral, and acceptance rate of suggested changes to antibiotic route), none are universally used or agreed upon.15,16,39 The opportunity metrics used in this study have several strengths, including the feasibility of obtaining them from existing databases and the ability to account for intake of other enteral medications; the latter is not evaluated in other metrics. These opportunity metrics can be used together to identify the percent of time in which there is opportunity to transition and total number of days to understand the full extent of potential opportunity for future interventions. As demonstrated in this study, these metrics can be measured by diagnosis, antibiotic, or diagnosis-antibiotic combination, and they can be used to evaluate stewardship efforts at a single institution over time or compare efforts across hospitals.
These findings should be interpreted in the context of important limitations. First, we attempted to characterize potential opportunity to transition to enteral medications based on a patient’s ability to tolerate nonenteral medications. However, there are other factors that could limit the opportunity to transition that we could not account for with an administrative dataset, including the use of antibiotics prior to admission, disease progression, severity of illness, and malabsorptive concerns. Thus, though we may have overestimated the true opportunity to transition to enteral antibiotics, it is unlikely that this would account for all of the variation in transition times that we observed across hospitals. Second, while our study required patients to have one of seven types of infection, we did not exclude any additional infectious diagnoses (eg, concurrent bacteremia, Clostridioides difficile, otitis media) that could have driven the choice of antibiotic type and modality. Although emerging evidence is supporting earlier transitions to oral therapy, bacteremia is typically treated with IV antibiotics; this may have led to an overestimation of true opportunity.40 “Clostridioides” difficile and otitis media are typically treated with enteral therapy; concurrent infections such as these may have led to an underestimation of opportunity given the fact that, based on our definition, the days on which patients received both IV and enteral antibiotics were not counted as opportunity days. Third, because PHIS uses billing days to capture medication use, we were unable to distinguish transitions that occurred early in the day vs those that took place later in the day. This could have led to an underestimation of percent opportunity, particularly for diagnoses with a short LOS; it also likely led to an underestimation of the variability observed across hospitals. Fourth, because we used an administrative dataset, we are unable to understand reasoning behind transitioning time from IV to oral antibiotics, as well as provider, patient, and institutional level factors that influenced these decisions.
CONCLUSION
Children hospitalized with bacterial infections often receive IV antibiotics, and the timing of transition from IV to enteral antibiotics varies significantly across hospitals. Further research is needed to compare the effectiveness of IV and enteral antibiotics and better define criteria for transition to enteral therapy. We identified ample opportunities for quality improvement initiatives to promote earlier transition, which have the potential to reduce healthcare utilization and promote optimal patient-directed high-value care.
1. Keren R, Luan X, Localio R, et al. Prioritization of comparative effectiveness research topics in hospital pediatrics. Arch Pediatr Adolesc Med. 2012;166(12):1155-1164. https://doi.org/10.1001/archpediatrics.2012.1266
2. McMullan BJ, Andresen D, Blyth CC, et al. Antibiotic duration and timing of the switch from intravenous to oral route for bacterial infections in children: systematic review and guidelines. Lancet Infect Dis. 2016;16(8):e139-e152. https://doi.org/10.1016/S1473-3099(16)30024-X
3. Keren R, Shah SS, Srivastava R, et al; for the Pediatric Research Inpatient Settings Network. Comparative effectiveness of intravenous vs oral antibiotics for postdischarge treatment of acute osteomyelitis in children. JAMA Pediatr. 2015;169(2):120-128. https://doi.org/10.1001/jamapediatrics.2014.2822
4. Shah SS, Srivastava R, Wu S, et al. Intravenous versus oral antibiotics for postdischarge treatment of complicated pneumonia. Pediatrics. 2016;138(6):e201692. https://doi.org/10.1542/peds.2016-1692
5. Li HK, Agweyu A, English M, Bejon P. An unsupported preference for intravenous antibiotics. PLoS Med. 2015;12(5):e1001825. https://dx.doi.org/10.1371%2Fjournal.pmed.1001825
6. Dellit TH, Owens RC, McGowan JE Jr, et al; Infectious Diseases Society of America; Society for Healthcare Epidemiology of America. Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship. Clin Infect Dis. 2007;44(2):159-177. https://doi.org/10.1086/510393
7. Bradley JS, Byington CL, Shah SS, et al; Pediatric Infectious Diseases Society and the Infectious Diseases Society of America. Management of community-acquired pneumonia (CAP) 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-e76. https://doi.org/10.1542/peds.2011-2385
8. Septimus EJ, Owens RC Jr. Need and potential of antimicrobial stewardship in community hospitals. Clin Infect Dis. 2011;53 Suppl 1:S8-S14. https://doi.org/10.1093/cid/cir363
9. Schroeder AR, Ralston SL. Intravenous antibiotic durations for common bacterial infections in children: when is enough? J Hosp Med. 2014;9(9):604-609. https://doi.org/10.1002/jhm.2239
10. Christensen EW, Spaulding AB, Pomputius WF, Grapentine SP. Effects of hospital practice patterns for antibiotic administration for pneumonia on hospital lengths of stay and costs. J Pediatric Infect Dis Soc. 2019;8(2):115-121. https://doi.org/10.1093/jpids/piy003
11. van Zanten AR, Engelfriet PM, van Dillen K, van Veen M, Nuijten MJ, Polderman KH. Importance of nondrug costs of intravenous antibiotic therapy. Crit Care. 2003;7(6):R184-R190. https://doi.org/10.1186/cc2388
12. Ruebner R, Keren R, Coffin S, Chu J, Horn D, Zaoutis TE. Complications of central venous catheters used for the treatment of acute hematogenous osteomyelitis. Pediatrics. 2006;117(4):1210-1215. https://doi.org/10.1542/peds.2005-1465
13. Girdwood SCT, Sellas MN, Courter JD, et al. Improving the transition of intravenous to enteral antibiotics in pediatric patients with pneumonia or skin and soft tissue infections. J Hosp Med. 2020;15(1):10-15. https://doi.org/10.12788/jhm.3253
14. Core Elements of Hospital Antibiotic Stewardship Programs. Centers for Disease Control and Prevention. Published 2019. Accessed May 30, 2020. https://www.cdc.gov/antibiotic-use/core-elements/hospital.html
15. Barlam TF, Cosgrove SE, Abbo LM, et al. Implementing an antibiotic stewardship program: guidelines by the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America. Clin Infect Dis. 2016;62(10):e51-e77. https://doi.org/10.1093/cid/ciw118
16. Science M, Timberlake K, Morris A, Read S, Le Saux N; Groupe Antibiothérapie en Pédiatrie Canada Alliance for Stewardship of Antimicrobials in Pediatrics (GAP Can ASAP). Quality metrics for antimicrobial stewardship programs. Pediatrics. 2019;143(4):e20182372. https://doi.org/10.1542/peds.2018-2372
17. Tchou MJ, Hall M, Shah SS, et al; Pediatric Research in Inpatient Settings (PRIS) Network. Patterns of electrolyte testing at children’s hospitals for common inpatient diagnoses. Pediatrics. 2019;144(1):e20181644. https://doi.org/10.1542/peds.2018-1644
18. Florin TA, French B, Zorc JJ, Alpern ER, Shah SS. Variation in emergency department diagnostic testing and disposition outcomes in pneumonia. Pediatrics. 2013;132(2):237-244. https://doi.org/10.1542/peds.2013-0179
19. Desai S, Shah SS, Hall M, Richardson TE, Thomson JE; Pediatric Research in Inpatient Settings (PRIS) Network. Imaging strategies and outcomes in children hospitalized with cervical lymphadenitis. J Hosp Med. 2020;15(4):197-203. https://doi.org/10.12788/jhm.3333
20. Markham JL, Hall M, Bettenhausen JL, Myers AL, Puls HT, McCulloh RJ. Variation in care and clinical outcomes in children hospitalized with orbital cellulitis. Hosp Pediatr. 2018;8(1):28-35. https://doi.org/10.1542/hpeds.2017-0040
21. Tieder JS, Hall M, Auger KA, et al. Accuracy of administrative billing codes to detect urinary tract infection hospitalizations. Pediatrics. 2011;128(2):323-330. https://doi.org/10.1542/peds.2010-2064
22. Singh JA, Yu S. The burden of septic arthritis on the U.S. inpatient care: a national study. PLoS One. 2017;12(8):e0182577. https://doi.org/10.1371/journal.pone.0182577
23. Foradori DM, Lopez MA, Hall M, et al. Invasive bacterial infections in infants younger than 60 days with skin and soft tissue infections. Pediatr Emerg Care. 2018. https://doi.org/10.1097/pec.0000000000001584
24. Feudtner C, Feinstein JA, Zhong W, Hall M, Dai D. Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation. BMC Pediatr. 2014;14:199. https://doi.org/10.1186/1471-2431-14-199
25. Arancibia A, Icarte A, González C, Morasso I. Dose-dependent bioavailability of amoxycillin. Int J Clin Pharmacol Ther Toxicol. 1988;26(6):300-303.
26. Grayson ML, Cosgrove S, Crowe S, et al. Kucers’ the Use of Antibiotics: A Clinical Review of Antibacterial, Antifungal, Antiparasitic, and Antiviral Drugs. 7th ed. CRC Press; 2018.
27. Downes KJ, Hahn A, Wiles J, Courter JD, Inks AA. Dose optimisation of antibiotics in children: application of pharmacokinetics/pharmacodynamics in pediatrics’. Int J Antimicrob Agents. 2014;43(3):223-230. https://doi.org/10.1016/j.ijantimicag.2013.11.006
28. Gras-Le Guen C, Boscher C, Godon N, et al. Therapeutic amoxicillin levels achieved with oral administration in term neonates. Eur J Clin Pharmacol. 2007;63(7):657-662. https://doi.org/10.1007/s00228-007-0307-3
29. Sanchez Navarro A. New formulations of amoxicillin/clavulanic acid: a pharmacokinetic and pharmacodynamic review. Clin Pharmacokinet. 2005;44(11):1097-1115. https://doi.org/10.2165/00003088-200544110-00001
30. Fine MJ, Hough LJ, Medsger AR, et al. The hospital admission decision for patients with community-acquired pneumonia. Results from the pneumonia Patient Outcomes Research Team cohort study. Arch Intern Med. 1997;157(1):36-44. https://doi.org/10.1001/archinte.1997.00440220040006
31. Pohl A. Modes of administration of antibiotics for symptomatic severe urinary tract infections. Cochrane Database Syst Rev. 2007(4):CD003237. https://doi.org/10.1002/14651858.cd003237.pub2
32. Nageswaran S, Woods CR, Benjamin DK Jr, Givner LB, Shetty AK. Orbital cellulitis in children. Pediatr Infect Dis J. 2006;25(8):695-699. https://doi.org/10.1097/01.inf.0000227820.36036.f1
33. Al-Nammari S, Roberton B, Ferguson C. Towards evidence based emergency medicine: best BETs from the Manchester Royal Infirmary. Should a child with preseptal periorbital cellulitis be treated with intravenous or oral antibiotics? Emerg Med J. 2007;24(2):128-129. https://doi.org/10.1136/emj.2006.045245
34. Vieira F, Allen SM, Stocks RMS, Thompson JW. Deep neck infection. Otolaryngol Clin North Am. 2008;41(3):459-483, vii. https://doi.org/10.1016/j.otc.2008.01.002
35. Smith M, Shah S, Kronman M, Patel S, Thurm C, Hersh AL. Route of administration for highly orally bioavailable antibiotics. Open Forum Infect Dis. 2017;4(Suppl 1):S498-S499. https://doi.org/10.1093/ofid/ofx163.1291
36. Brady PW, Brinkman WB, Simmons JM, et al. Oral antibiotics at discharge for children with acute osteomyelitis: a rapid cycle improvement project. BMJ Qual Saf. 2014;23(6):499-507. https://doi.org/10.1136/bmjqs-2013-002179
37. Berrevoets MAH, Pot JHLW, Houterman AE, et al. An electronic trigger tool to optimise intravenous to oral antibiotic switch: a controlled, interrupted time series study. Antimicrob Resist Infect Control. 2017;6:81. https://doi.org/10.1186/s13756-017-0239-3
38. Fischer MA, Solomon DH, Teich JM, Avorn J. Conversion from intravenous to oral medications: assessment of a computerized intervention for hospitalized patients. Arch Intern Med. 2003;163(21):2585-2589. https://doi.org/10.1001/archinte.163.21.2585
39. Public Health Ontario. Antimicrobial stewardship programs metric examples. Published 2017. Accessed June 1, 2020. https://www.publichealthontario.ca/-/media/documents/A/2017/asp-metrics-examples.pdf?la=en
40. Desai S, Aronson PL, Shabanova V, et al; Febrile Young Infant Research Collaborative. Parenteral antibiotic therapy duration in young infants with bacteremic urinary tract infections. Pediatrics. 2019;144(3):e20183844. https://doi.org/10.1542/peds.2018-3844
Bacterial infections are a common reason for pediatric hospital admissions in the United States.1 Antibiotics are the mainstay of treatment, and whether to administer them intravenously (IV) or enterally is an important and, at times, challenging decision. Not all hospitalized patients with infections require IV antibiotics, and safe, effective early transitions to enteral therapy have been described for numerous infections.2-7 However, guidelines describing the ideal initial route of antibiotic administration and when to transition to oral therapy are lacking.5,7,8 This lack of high-quality evidence-based guidance may contribute to overuse of IV antibiotics for many hospitalized pediatric patients, even when safe and effective enteral options exist.9
Significant costs and harms are associated with the use of IV antibiotics. In particular, studies have demonstrated longer length of stay (LOS), increased costs, and worsened pain or anxiety related to complications (eg, phlebitis, extravasation injury, thrombosis, catheter-associated bloodstream infections) associated with IV antibiotics.3,4,10-13 Earlier transition to enteral therapy, however, can mitigate these increased risks and costs.
The Centers for Disease Control and Prevention lists the transition from IV to oral antibiotics as a key stewardship intervention for improving antibiotic use.14 The Infectious Diseases Society of America (IDSA) antibiotic stewardship program guidelines strongly recommend the timely conversion from IV to oral antibiotics, stating that efforts focusing on this transition should be integrated into routine practice.15 There are a few metrics in the literature to measure this intervention, but none is universally used, and a modified delphi process could not reach consensus on IV-to-oral transition metrics.16
Few studies describe the opportunity to transition to enteral antibiotics in hospitalized patients with common bacterial infections or explore variation across hospitals. It is critical to understand current practice of antibiotic administration in order to identify opportunities to optimize patient outcomes and promote high-value care. Furthermore, few studies have evaluated the feasibility of IV-to-oral transition metrics using an administrative database. Thus, the aims of this study were to (1) determine opportunities to transition from IV to enteral antibiotics for pediatric patients hospitalized with common bacterial infections based on their ability to tolerate other enteral medications, (2) describe variation in transition practices among children’s hospitals, and (3) evaluate the feasibility of novel IV-to-oral transition metrics using an administrative database to inform stewardship efforts.
METHODS
Study Design and Setting
This multicenter, retrospective cohort study used data from the Pediatric Health Information System (PHIS), an administrative and billing database containing encounter-level data from 52 tertiary care pediatric hospitals across the United States affiliated with the Children’s Hospital Association (Lenexa, Kansas). Hospitals submit encounter-level data, including demographics, medications, and diagnoses based on International Classification of Disease, Tenth Revision, Clinical Modification (ICD-10-CM) codes. Data were de-identified at the time of submission, and data quality and reliability were assured by joint efforts between the Children’s Hospital Association and participating hospitals.
Study Population
This study included pediatric patients aged 60 days to 18 years who were hospitalized (inpatient or observation status) at one of the participating hospitals between January 1, 2017, and December 31, 2018, for one of the following seven common bacterial infections: community-acquired pneumonia (CAP), neck infection (superficial and deep), periorbital/orbital infection, urinary tract infection (UTI), osteomyelitis, septic arthritis, or skin and soft tissue infection (SSTI). The diagnosis cohorts were defined based on ICD-10-CM discharge diagnoses adapted from previous studies (Appendix Table 1).3,17-23 To define a cohort of generally healthy pediatric patients with an acute infection, we excluded patients hospitalized in the intensive care unit, patients with nonhome discharges, and patients with complex chronic conditions.24 We also excluded hospitals with incomplete data during the study period (n=1). The Institutional Review Board at Cincinnati Children’s Hospital Medical Center determined this study to be non–human-subjects research.
Outcomes
The primary outcomes were the number of opportunity days and the percent of days with opportunity to transition from IV to enteral therapy. Opportunity days, or days in which there was a potential opportunity to transition from IV to enteral antibiotics, were defined as days patients received only IV antibiotic doses and at least one enteral nonantibiotic medication, suggesting an ability to take enteral medications.13 We excluded days patients received IV antibiotics for which there was no enteral alternative (eg, vancomycin, Appendix Table 2). When measuring opportunity, to be conservative (ie, to underestimate rather than overestimate opportunity), we did not count as an opportunity day any day in which patients received both IV and enteral antibiotics. Percent opportunity, or the percent of days patients received antibiotics in which there was potential opportunity to transition from IV to enteral antibiotics, was defined as the number of opportunity days divided by number of inpatient days patients received enteral antibiotics or IV antibiotics with at least one enteral nonantibiotic medication (antibiotic days). Similar to opportunity days, antibiotic days excluded days patients were on IV antibiotics for which there was no enteral alternative. Based on our definition, a lower percent opportunity indicates that a hospital is using enteral antibiotics earlier during the hospitalization (earlier transition), while a higher percent opportunity represents later enteral antibiotic use (later transition).
Statistical Analysis
Demographic and clinical characteristics were summarized by diagnosis with descriptive statistics, including frequency with percentage, mean with standard deviation, and median with interquartile range (IQR). For each diagnosis, we evaluated aggregate opportunity days (sum of opportunity days among all hospitals), opportunity days per encounter, and aggregate percent opportunity using frequencies, mean with standard deviation, and percentages, respectively. We also calculated aggregate opportunity days for diagnosis-antibiotic combinations. To visually show variation in the percent opportunity across hospitals, we displayed the percent opportunity on a heat map, and evaluated percent opportunity across hospitals using chi-square tests. To compare the variability in the percent opportunity across and within hospitals, we used a generalized linear model with two fixed effects (hospital and diagnosis), and parsed the variability using the sum of squares. We performed a sensitivity analysis and excluded days that patients received antiemetic medications (eg, ondansetron, granisetron, prochlorperazine, promethazine), as these suggest potential intolerance of enteral medications. All statistical analyses were performed using SAS v.9.4 (SAS Institute Inc, Cary, North Carolina) and GraphPad Prism 8.0 (GraphPad Software Inc., San Diego, California), and P values < .05 were considered statistically significant.
RESULTS
During the 2-year study period, 100,103 hospitalizations met our inclusion criteria across 51 hospitals and seven diagnosis categories (Table 1). Diagnosis cohorts ranged in size from 1,462 encounters for septic arthritis to 35,665 encounters for neck infections. Overall, we identified 88,522 aggregate opportunity days on which there was an opportunity to switch from IV to enteral treatment in the majority of participants (percent opportunity, 57%).
Opportunity by Diagnosis
The number of opportunity days (aggregate and mean per encounter) and percent opportunity varied by diagnosis (Table 2). The aggregate number of opportunity days ranged from 3,693 in patients with septic arthritis to 25,359 in patients with SSTI, and mean opportunity days per encounter ranged from 0.9 in CAP to 2.8 in septic arthritis. Percent opportunity was highest for septic arthritis at 72.7% and lowest for CAP at 39.7%.
Variation in Opportunity Among Hospitals
The variation in the percent opportunity across hospitals was statistically significant for all diagnoses (Figure). Within hospitals, we observed similar practice patterns across diagnoses. For example, hospitals with a higher percent opportunity for one diagnosis tended to have higher percent opportunity for the other diagnoses (as noted in the top portion of the Figure), and those with lower percent opportunity for one diagnosis tended to also have lower percent opportunity for the other diagnoses studied (as noted in the bottom portion of the Figure). When evaluating variability in the percent opportunity, 45% of the variability was attributable to the hospital-effect and 35% to the diagnosis; the remainder was unexplained variability. Sensitivity analysis excluding days when patients received an antiemetic medication yielded no differences in our results.
Opportunity by Antibiotic
The aggregate number of opportunity days varied by antibiotic (Table 3). Intravenous antibiotics with the largest number of opportunity days included clindamycin (44,293), ceftriaxone (23,896), and ampicillin-sulbactam (15,484). Antibiotic-diagnosis combinations with the largest number of opportunity days for each diagnosis included ceftriaxone and ampicillin in CAP; clindamycin in cellulitis, SSTI, and neck infections; ceftriaxone in UTI; and cefazolin in osteomyelitis and septic arthritis.
DISCUSSION
In this multicenter study of pediatric patients hospitalized with common bacterial infections, there was the potential to transition from IV to enteral treatment in over half of the antibiotic days. The degree of opportunity varied by infection, antibiotic, and hospital. Antibiotics with a large aggregate number of opportunity days for enteral transition included clindamycin, which has excellent bioavailability; and ampicillin and ampicillin-sulbactam, which can achieve pharmacodynamic targets with oral equivalents.25-29 The across-hospital variation for a given diagnosis suggests that certain hospitals have strategies in place which permit an earlier transition to enteral antibiotics compared to other institutions in which there were likely missed opportunities to do so. This variability is likely due to limited evidence, emphasizing the need for robust studies to better understand the optimal initial antibiotic route and transition time. Our findings highlight the need for, and large potential impact of, stewardship efforts to promote earlier transition for specific drug targets. This study also demonstrates the feasibility of obtaining two metrics—percent opportunity and opportunity days—from administrative databases to inform stewardship efforts within and across hospitals.
Opportunity days and percent opportunity varied among diagnoses. The variation in aggregate opportunity days was largely a reflection of the number of encounters: Diagnoses such as SSTI, neck infections, and CAP had a large number of both aggregate opportunity days and encounters. The range of opportunity days per encounter (0.9-2.5) suggests potential missed opportunities to transition to enteral antibiotics across all diagnoses (Table 2). The higher opportunity days per encounter in osteomyelitis and septic arthritis may be related to longer LOS and higher percent opportunity. Percent opportunity likely varied among diagnoses due to differences in admission and discharge readiness criteria, diagnostic evaluation, frequency of antibiotic administration, and evidence on the optimal route of initial antibiotics and when to transition to oral formulations. For example, we hypothesize that certain diagnoses, such as osteomyelitis and septic arthritis, have admission and discharge readiness criteria directly tied to the perceived need for IV antibiotics, which may limit in-hospital days on enteral antibiotics and explain the high percent opportunity that we observed. The high percent opportunity seen in musculoskeletal infections also may be due to delays in initiating targeted treatment until culture results were available. Encounters for CAP had the lowest percent opportunity; we hypothesize that this is because admission and discharge readiness may be determined by factors other than the need for IV antibiotics (eg, need for supplemental oxygen), which may increase days on enteral antibiotics and lead to a lower percent opportunity.30
Urinary tract infection encounters had a high percent opportunity. As with musculoskeletal infection, this may be related to delays in initiating targeted treatment until culture results became available. Another reason for the high percent opportunity in UTI could be the common use of ceftriaxone, which, dosed every 24 hours, likely reduced the opportunity to transition to enteral antibiotics. There is strong evidence demonstrating no difference in outcomes based on antibiotic routes for UTI, and we would expect this to result in a low percent opportunity.2,31 While the observed high opportunity in UTI may relate to an initial unknown diagnosis or concern for systemic infection, this highlights potential opportunities for quality improvement initiatives to promote empiric oral antibiotics in clinically stable patients hospitalized with suspected UTI.
There was substantial variation in percent opportunity across hospitals for a given diagnosis, with less variation across diagnoses for a given hospital. Variation across hospitals but consistency within individual hospitals suggests that some hospitals may promote earlier transition from IV to enteral antibiotics as standard practice for all diagnoses, while other hospitals continue IV antibiotics for the entire hospitalization, highlighting potential missed opportunities at some institutions. While emerging data suggest that traditional long durations of IV antibiotics are not necessary for many infections, the limited evidence on the optimal time to switch to oral antibiotics may have influenced this variation.2-7 Many guidelines recommend initial IV antibiotics for hospitalized pediatric patients, but there are few studies comparing IV and enteral therapy.2,5,9 Limited evidence leaves significant room for hospital culture, antibiotic stewardship efforts, reimbursement considerations, and/or hospital workflow to influence transition timing and overall opportunity at individual hospitals.7,8,32-34 These findings emphasize the importance of research to identify optimal transition time and comparative effectiveness studies to evaluate whether initial IV antibiotics are truly needed for mild—and even severe—disease presentations. Since many patients are admitted for the perceived need for IV antibiotics, earlier use of enteral antibiotics could reduce rates of hospitalizations, LOS, healthcare costs, and resource utilization.
Antibiotics with a high number of opportunity days included clindamycin, ceftriaxone, ampicillin-sublactam, and ampicillin. Our findings are consistent with another study which found that most bioavailable drugs, including clindamycin, were administered via the IV route and accounted for a large number of antibiotic days.35 The Infectious Diseases Society of America recommends that hospitals promote earlier transition to oral formulations for highly bioavailable drugs.7 Given the high bioavailability of clindamycin, its common use in high-frequency encounters such as SSTI and neck infections, and the fact that it accounted for a large number of opportunity days, quality improvement initiatives promoting earlier transition to oral clindamycin could have a large impact across health systems.25,26 Additionally, although beta-lactam antibiotics such as amoxicillin and amoxicillin-sulbactam are not highly bioavailable, oral dosing can achieve sufficient serum concentrations to reach pharmacodynamic targets for common clinical indications; this could be an important quality improvement initiative.27-29 Several single-site studies have successfully implemented quality improvement initiatives to promote earlier IV-to-enteral transition, with resulting reductions in costs and no adverse events noted, highlighting the feasibility and impact of such efforts.13,36-38
This study also demonstrates the feasibility of collecting two metrics (percent opportunity and opportunity days) from administrative databases to inform IV-to-oral transition benchmarking and stewardship efforts. While there are several metrics in the literature for evaluating antibiotic transition (eg, days of IV or oral therapy, percentage of antibiotics given via the oral route, time to switch from IV to oral, and acceptance rate of suggested changes to antibiotic route), none are universally used or agreed upon.15,16,39 The opportunity metrics used in this study have several strengths, including the feasibility of obtaining them from existing databases and the ability to account for intake of other enteral medications; the latter is not evaluated in other metrics. These opportunity metrics can be used together to identify the percent of time in which there is opportunity to transition and total number of days to understand the full extent of potential opportunity for future interventions. As demonstrated in this study, these metrics can be measured by diagnosis, antibiotic, or diagnosis-antibiotic combination, and they can be used to evaluate stewardship efforts at a single institution over time or compare efforts across hospitals.
These findings should be interpreted in the context of important limitations. First, we attempted to characterize potential opportunity to transition to enteral medications based on a patient’s ability to tolerate nonenteral medications. However, there are other factors that could limit the opportunity to transition that we could not account for with an administrative dataset, including the use of antibiotics prior to admission, disease progression, severity of illness, and malabsorptive concerns. Thus, though we may have overestimated the true opportunity to transition to enteral antibiotics, it is unlikely that this would account for all of the variation in transition times that we observed across hospitals. Second, while our study required patients to have one of seven types of infection, we did not exclude any additional infectious diagnoses (eg, concurrent bacteremia, Clostridioides difficile, otitis media) that could have driven the choice of antibiotic type and modality. Although emerging evidence is supporting earlier transitions to oral therapy, bacteremia is typically treated with IV antibiotics; this may have led to an overestimation of true opportunity.40 “Clostridioides” difficile and otitis media are typically treated with enteral therapy; concurrent infections such as these may have led to an underestimation of opportunity given the fact that, based on our definition, the days on which patients received both IV and enteral antibiotics were not counted as opportunity days. Third, because PHIS uses billing days to capture medication use, we were unable to distinguish transitions that occurred early in the day vs those that took place later in the day. This could have led to an underestimation of percent opportunity, particularly for diagnoses with a short LOS; it also likely led to an underestimation of the variability observed across hospitals. Fourth, because we used an administrative dataset, we are unable to understand reasoning behind transitioning time from IV to oral antibiotics, as well as provider, patient, and institutional level factors that influenced these decisions.
CONCLUSION
Children hospitalized with bacterial infections often receive IV antibiotics, and the timing of transition from IV to enteral antibiotics varies significantly across hospitals. Further research is needed to compare the effectiveness of IV and enteral antibiotics and better define criteria for transition to enteral therapy. We identified ample opportunities for quality improvement initiatives to promote earlier transition, which have the potential to reduce healthcare utilization and promote optimal patient-directed high-value care.
Bacterial infections are a common reason for pediatric hospital admissions in the United States.1 Antibiotics are the mainstay of treatment, and whether to administer them intravenously (IV) or enterally is an important and, at times, challenging decision. Not all hospitalized patients with infections require IV antibiotics, and safe, effective early transitions to enteral therapy have been described for numerous infections.2-7 However, guidelines describing the ideal initial route of antibiotic administration and when to transition to oral therapy are lacking.5,7,8 This lack of high-quality evidence-based guidance may contribute to overuse of IV antibiotics for many hospitalized pediatric patients, even when safe and effective enteral options exist.9
Significant costs and harms are associated with the use of IV antibiotics. In particular, studies have demonstrated longer length of stay (LOS), increased costs, and worsened pain or anxiety related to complications (eg, phlebitis, extravasation injury, thrombosis, catheter-associated bloodstream infections) associated with IV antibiotics.3,4,10-13 Earlier transition to enteral therapy, however, can mitigate these increased risks and costs.
The Centers for Disease Control and Prevention lists the transition from IV to oral antibiotics as a key stewardship intervention for improving antibiotic use.14 The Infectious Diseases Society of America (IDSA) antibiotic stewardship program guidelines strongly recommend the timely conversion from IV to oral antibiotics, stating that efforts focusing on this transition should be integrated into routine practice.15 There are a few metrics in the literature to measure this intervention, but none is universally used, and a modified delphi process could not reach consensus on IV-to-oral transition metrics.16
Few studies describe the opportunity to transition to enteral antibiotics in hospitalized patients with common bacterial infections or explore variation across hospitals. It is critical to understand current practice of antibiotic administration in order to identify opportunities to optimize patient outcomes and promote high-value care. Furthermore, few studies have evaluated the feasibility of IV-to-oral transition metrics using an administrative database. Thus, the aims of this study were to (1) determine opportunities to transition from IV to enteral antibiotics for pediatric patients hospitalized with common bacterial infections based on their ability to tolerate other enteral medications, (2) describe variation in transition practices among children’s hospitals, and (3) evaluate the feasibility of novel IV-to-oral transition metrics using an administrative database to inform stewardship efforts.
METHODS
Study Design and Setting
This multicenter, retrospective cohort study used data from the Pediatric Health Information System (PHIS), an administrative and billing database containing encounter-level data from 52 tertiary care pediatric hospitals across the United States affiliated with the Children’s Hospital Association (Lenexa, Kansas). Hospitals submit encounter-level data, including demographics, medications, and diagnoses based on International Classification of Disease, Tenth Revision, Clinical Modification (ICD-10-CM) codes. Data were de-identified at the time of submission, and data quality and reliability were assured by joint efforts between the Children’s Hospital Association and participating hospitals.
Study Population
This study included pediatric patients aged 60 days to 18 years who were hospitalized (inpatient or observation status) at one of the participating hospitals between January 1, 2017, and December 31, 2018, for one of the following seven common bacterial infections: community-acquired pneumonia (CAP), neck infection (superficial and deep), periorbital/orbital infection, urinary tract infection (UTI), osteomyelitis, septic arthritis, or skin and soft tissue infection (SSTI). The diagnosis cohorts were defined based on ICD-10-CM discharge diagnoses adapted from previous studies (Appendix Table 1).3,17-23 To define a cohort of generally healthy pediatric patients with an acute infection, we excluded patients hospitalized in the intensive care unit, patients with nonhome discharges, and patients with complex chronic conditions.24 We also excluded hospitals with incomplete data during the study period (n=1). The Institutional Review Board at Cincinnati Children’s Hospital Medical Center determined this study to be non–human-subjects research.
Outcomes
The primary outcomes were the number of opportunity days and the percent of days with opportunity to transition from IV to enteral therapy. Opportunity days, or days in which there was a potential opportunity to transition from IV to enteral antibiotics, were defined as days patients received only IV antibiotic doses and at least one enteral nonantibiotic medication, suggesting an ability to take enteral medications.13 We excluded days patients received IV antibiotics for which there was no enteral alternative (eg, vancomycin, Appendix Table 2). When measuring opportunity, to be conservative (ie, to underestimate rather than overestimate opportunity), we did not count as an opportunity day any day in which patients received both IV and enteral antibiotics. Percent opportunity, or the percent of days patients received antibiotics in which there was potential opportunity to transition from IV to enteral antibiotics, was defined as the number of opportunity days divided by number of inpatient days patients received enteral antibiotics or IV antibiotics with at least one enteral nonantibiotic medication (antibiotic days). Similar to opportunity days, antibiotic days excluded days patients were on IV antibiotics for which there was no enteral alternative. Based on our definition, a lower percent opportunity indicates that a hospital is using enteral antibiotics earlier during the hospitalization (earlier transition), while a higher percent opportunity represents later enteral antibiotic use (later transition).
Statistical Analysis
Demographic and clinical characteristics were summarized by diagnosis with descriptive statistics, including frequency with percentage, mean with standard deviation, and median with interquartile range (IQR). For each diagnosis, we evaluated aggregate opportunity days (sum of opportunity days among all hospitals), opportunity days per encounter, and aggregate percent opportunity using frequencies, mean with standard deviation, and percentages, respectively. We also calculated aggregate opportunity days for diagnosis-antibiotic combinations. To visually show variation in the percent opportunity across hospitals, we displayed the percent opportunity on a heat map, and evaluated percent opportunity across hospitals using chi-square tests. To compare the variability in the percent opportunity across and within hospitals, we used a generalized linear model with two fixed effects (hospital and diagnosis), and parsed the variability using the sum of squares. We performed a sensitivity analysis and excluded days that patients received antiemetic medications (eg, ondansetron, granisetron, prochlorperazine, promethazine), as these suggest potential intolerance of enteral medications. All statistical analyses were performed using SAS v.9.4 (SAS Institute Inc, Cary, North Carolina) and GraphPad Prism 8.0 (GraphPad Software Inc., San Diego, California), and P values < .05 were considered statistically significant.
RESULTS
During the 2-year study period, 100,103 hospitalizations met our inclusion criteria across 51 hospitals and seven diagnosis categories (Table 1). Diagnosis cohorts ranged in size from 1,462 encounters for septic arthritis to 35,665 encounters for neck infections. Overall, we identified 88,522 aggregate opportunity days on which there was an opportunity to switch from IV to enteral treatment in the majority of participants (percent opportunity, 57%).
Opportunity by Diagnosis
The number of opportunity days (aggregate and mean per encounter) and percent opportunity varied by diagnosis (Table 2). The aggregate number of opportunity days ranged from 3,693 in patients with septic arthritis to 25,359 in patients with SSTI, and mean opportunity days per encounter ranged from 0.9 in CAP to 2.8 in septic arthritis. Percent opportunity was highest for septic arthritis at 72.7% and lowest for CAP at 39.7%.
Variation in Opportunity Among Hospitals
The variation in the percent opportunity across hospitals was statistically significant for all diagnoses (Figure). Within hospitals, we observed similar practice patterns across diagnoses. For example, hospitals with a higher percent opportunity for one diagnosis tended to have higher percent opportunity for the other diagnoses (as noted in the top portion of the Figure), and those with lower percent opportunity for one diagnosis tended to also have lower percent opportunity for the other diagnoses studied (as noted in the bottom portion of the Figure). When evaluating variability in the percent opportunity, 45% of the variability was attributable to the hospital-effect and 35% to the diagnosis; the remainder was unexplained variability. Sensitivity analysis excluding days when patients received an antiemetic medication yielded no differences in our results.
Opportunity by Antibiotic
The aggregate number of opportunity days varied by antibiotic (Table 3). Intravenous antibiotics with the largest number of opportunity days included clindamycin (44,293), ceftriaxone (23,896), and ampicillin-sulbactam (15,484). Antibiotic-diagnosis combinations with the largest number of opportunity days for each diagnosis included ceftriaxone and ampicillin in CAP; clindamycin in cellulitis, SSTI, and neck infections; ceftriaxone in UTI; and cefazolin in osteomyelitis and septic arthritis.
DISCUSSION
In this multicenter study of pediatric patients hospitalized with common bacterial infections, there was the potential to transition from IV to enteral treatment in over half of the antibiotic days. The degree of opportunity varied by infection, antibiotic, and hospital. Antibiotics with a large aggregate number of opportunity days for enteral transition included clindamycin, which has excellent bioavailability; and ampicillin and ampicillin-sulbactam, which can achieve pharmacodynamic targets with oral equivalents.25-29 The across-hospital variation for a given diagnosis suggests that certain hospitals have strategies in place which permit an earlier transition to enteral antibiotics compared to other institutions in which there were likely missed opportunities to do so. This variability is likely due to limited evidence, emphasizing the need for robust studies to better understand the optimal initial antibiotic route and transition time. Our findings highlight the need for, and large potential impact of, stewardship efforts to promote earlier transition for specific drug targets. This study also demonstrates the feasibility of obtaining two metrics—percent opportunity and opportunity days—from administrative databases to inform stewardship efforts within and across hospitals.
Opportunity days and percent opportunity varied among diagnoses. The variation in aggregate opportunity days was largely a reflection of the number of encounters: Diagnoses such as SSTI, neck infections, and CAP had a large number of both aggregate opportunity days and encounters. The range of opportunity days per encounter (0.9-2.5) suggests potential missed opportunities to transition to enteral antibiotics across all diagnoses (Table 2). The higher opportunity days per encounter in osteomyelitis and septic arthritis may be related to longer LOS and higher percent opportunity. Percent opportunity likely varied among diagnoses due to differences in admission and discharge readiness criteria, diagnostic evaluation, frequency of antibiotic administration, and evidence on the optimal route of initial antibiotics and when to transition to oral formulations. For example, we hypothesize that certain diagnoses, such as osteomyelitis and septic arthritis, have admission and discharge readiness criteria directly tied to the perceived need for IV antibiotics, which may limit in-hospital days on enteral antibiotics and explain the high percent opportunity that we observed. The high percent opportunity seen in musculoskeletal infections also may be due to delays in initiating targeted treatment until culture results were available. Encounters for CAP had the lowest percent opportunity; we hypothesize that this is because admission and discharge readiness may be determined by factors other than the need for IV antibiotics (eg, need for supplemental oxygen), which may increase days on enteral antibiotics and lead to a lower percent opportunity.30
Urinary tract infection encounters had a high percent opportunity. As with musculoskeletal infection, this may be related to delays in initiating targeted treatment until culture results became available. Another reason for the high percent opportunity in UTI could be the common use of ceftriaxone, which, dosed every 24 hours, likely reduced the opportunity to transition to enteral antibiotics. There is strong evidence demonstrating no difference in outcomes based on antibiotic routes for UTI, and we would expect this to result in a low percent opportunity.2,31 While the observed high opportunity in UTI may relate to an initial unknown diagnosis or concern for systemic infection, this highlights potential opportunities for quality improvement initiatives to promote empiric oral antibiotics in clinically stable patients hospitalized with suspected UTI.
There was substantial variation in percent opportunity across hospitals for a given diagnosis, with less variation across diagnoses for a given hospital. Variation across hospitals but consistency within individual hospitals suggests that some hospitals may promote earlier transition from IV to enteral antibiotics as standard practice for all diagnoses, while other hospitals continue IV antibiotics for the entire hospitalization, highlighting potential missed opportunities at some institutions. While emerging data suggest that traditional long durations of IV antibiotics are not necessary for many infections, the limited evidence on the optimal time to switch to oral antibiotics may have influenced this variation.2-7 Many guidelines recommend initial IV antibiotics for hospitalized pediatric patients, but there are few studies comparing IV and enteral therapy.2,5,9 Limited evidence leaves significant room for hospital culture, antibiotic stewardship efforts, reimbursement considerations, and/or hospital workflow to influence transition timing and overall opportunity at individual hospitals.7,8,32-34 These findings emphasize the importance of research to identify optimal transition time and comparative effectiveness studies to evaluate whether initial IV antibiotics are truly needed for mild—and even severe—disease presentations. Since many patients are admitted for the perceived need for IV antibiotics, earlier use of enteral antibiotics could reduce rates of hospitalizations, LOS, healthcare costs, and resource utilization.
Antibiotics with a high number of opportunity days included clindamycin, ceftriaxone, ampicillin-sublactam, and ampicillin. Our findings are consistent with another study which found that most bioavailable drugs, including clindamycin, were administered via the IV route and accounted for a large number of antibiotic days.35 The Infectious Diseases Society of America recommends that hospitals promote earlier transition to oral formulations for highly bioavailable drugs.7 Given the high bioavailability of clindamycin, its common use in high-frequency encounters such as SSTI and neck infections, and the fact that it accounted for a large number of opportunity days, quality improvement initiatives promoting earlier transition to oral clindamycin could have a large impact across health systems.25,26 Additionally, although beta-lactam antibiotics such as amoxicillin and amoxicillin-sulbactam are not highly bioavailable, oral dosing can achieve sufficient serum concentrations to reach pharmacodynamic targets for common clinical indications; this could be an important quality improvement initiative.27-29 Several single-site studies have successfully implemented quality improvement initiatives to promote earlier IV-to-enteral transition, with resulting reductions in costs and no adverse events noted, highlighting the feasibility and impact of such efforts.13,36-38
This study also demonstrates the feasibility of collecting two metrics (percent opportunity and opportunity days) from administrative databases to inform IV-to-oral transition benchmarking and stewardship efforts. While there are several metrics in the literature for evaluating antibiotic transition (eg, days of IV or oral therapy, percentage of antibiotics given via the oral route, time to switch from IV to oral, and acceptance rate of suggested changes to antibiotic route), none are universally used or agreed upon.15,16,39 The opportunity metrics used in this study have several strengths, including the feasibility of obtaining them from existing databases and the ability to account for intake of other enteral medications; the latter is not evaluated in other metrics. These opportunity metrics can be used together to identify the percent of time in which there is opportunity to transition and total number of days to understand the full extent of potential opportunity for future interventions. As demonstrated in this study, these metrics can be measured by diagnosis, antibiotic, or diagnosis-antibiotic combination, and they can be used to evaluate stewardship efforts at a single institution over time or compare efforts across hospitals.
These findings should be interpreted in the context of important limitations. First, we attempted to characterize potential opportunity to transition to enteral medications based on a patient’s ability to tolerate nonenteral medications. However, there are other factors that could limit the opportunity to transition that we could not account for with an administrative dataset, including the use of antibiotics prior to admission, disease progression, severity of illness, and malabsorptive concerns. Thus, though we may have overestimated the true opportunity to transition to enteral antibiotics, it is unlikely that this would account for all of the variation in transition times that we observed across hospitals. Second, while our study required patients to have one of seven types of infection, we did not exclude any additional infectious diagnoses (eg, concurrent bacteremia, Clostridioides difficile, otitis media) that could have driven the choice of antibiotic type and modality. Although emerging evidence is supporting earlier transitions to oral therapy, bacteremia is typically treated with IV antibiotics; this may have led to an overestimation of true opportunity.40 “Clostridioides” difficile and otitis media are typically treated with enteral therapy; concurrent infections such as these may have led to an underestimation of opportunity given the fact that, based on our definition, the days on which patients received both IV and enteral antibiotics were not counted as opportunity days. Third, because PHIS uses billing days to capture medication use, we were unable to distinguish transitions that occurred early in the day vs those that took place later in the day. This could have led to an underestimation of percent opportunity, particularly for diagnoses with a short LOS; it also likely led to an underestimation of the variability observed across hospitals. Fourth, because we used an administrative dataset, we are unable to understand reasoning behind transitioning time from IV to oral antibiotics, as well as provider, patient, and institutional level factors that influenced these decisions.
CONCLUSION
Children hospitalized with bacterial infections often receive IV antibiotics, and the timing of transition from IV to enteral antibiotics varies significantly across hospitals. Further research is needed to compare the effectiveness of IV and enteral antibiotics and better define criteria for transition to enteral therapy. We identified ample opportunities for quality improvement initiatives to promote earlier transition, which have the potential to reduce healthcare utilization and promote optimal patient-directed high-value care.
1. Keren R, Luan X, Localio R, et al. Prioritization of comparative effectiveness research topics in hospital pediatrics. Arch Pediatr Adolesc Med. 2012;166(12):1155-1164. https://doi.org/10.1001/archpediatrics.2012.1266
2. McMullan BJ, Andresen D, Blyth CC, et al. Antibiotic duration and timing of the switch from intravenous to oral route for bacterial infections in children: systematic review and guidelines. Lancet Infect Dis. 2016;16(8):e139-e152. https://doi.org/10.1016/S1473-3099(16)30024-X
3. Keren R, Shah SS, Srivastava R, et al; for the Pediatric Research Inpatient Settings Network. Comparative effectiveness of intravenous vs oral antibiotics for postdischarge treatment of acute osteomyelitis in children. JAMA Pediatr. 2015;169(2):120-128. https://doi.org/10.1001/jamapediatrics.2014.2822
4. Shah SS, Srivastava R, Wu S, et al. Intravenous versus oral antibiotics for postdischarge treatment of complicated pneumonia. Pediatrics. 2016;138(6):e201692. https://doi.org/10.1542/peds.2016-1692
5. Li HK, Agweyu A, English M, Bejon P. An unsupported preference for intravenous antibiotics. PLoS Med. 2015;12(5):e1001825. https://dx.doi.org/10.1371%2Fjournal.pmed.1001825
6. Dellit TH, Owens RC, McGowan JE Jr, et al; Infectious Diseases Society of America; Society for Healthcare Epidemiology of America. Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship. Clin Infect Dis. 2007;44(2):159-177. https://doi.org/10.1086/510393
7. Bradley JS, Byington CL, Shah SS, et al; Pediatric Infectious Diseases Society and the Infectious Diseases Society of America. Management of community-acquired pneumonia (CAP) 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-e76. https://doi.org/10.1542/peds.2011-2385
8. Septimus EJ, Owens RC Jr. Need and potential of antimicrobial stewardship in community hospitals. Clin Infect Dis. 2011;53 Suppl 1:S8-S14. https://doi.org/10.1093/cid/cir363
9. Schroeder AR, Ralston SL. Intravenous antibiotic durations for common bacterial infections in children: when is enough? J Hosp Med. 2014;9(9):604-609. https://doi.org/10.1002/jhm.2239
10. Christensen EW, Spaulding AB, Pomputius WF, Grapentine SP. Effects of hospital practice patterns for antibiotic administration for pneumonia on hospital lengths of stay and costs. J Pediatric Infect Dis Soc. 2019;8(2):115-121. https://doi.org/10.1093/jpids/piy003
11. van Zanten AR, Engelfriet PM, van Dillen K, van Veen M, Nuijten MJ, Polderman KH. Importance of nondrug costs of intravenous antibiotic therapy. Crit Care. 2003;7(6):R184-R190. https://doi.org/10.1186/cc2388
12. Ruebner R, Keren R, Coffin S, Chu J, Horn D, Zaoutis TE. Complications of central venous catheters used for the treatment of acute hematogenous osteomyelitis. Pediatrics. 2006;117(4):1210-1215. https://doi.org/10.1542/peds.2005-1465
13. Girdwood SCT, Sellas MN, Courter JD, et al. Improving the transition of intravenous to enteral antibiotics in pediatric patients with pneumonia or skin and soft tissue infections. J Hosp Med. 2020;15(1):10-15. https://doi.org/10.12788/jhm.3253
14. Core Elements of Hospital Antibiotic Stewardship Programs. Centers for Disease Control and Prevention. Published 2019. Accessed May 30, 2020. https://www.cdc.gov/antibiotic-use/core-elements/hospital.html
15. Barlam TF, Cosgrove SE, Abbo LM, et al. Implementing an antibiotic stewardship program: guidelines by the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America. Clin Infect Dis. 2016;62(10):e51-e77. https://doi.org/10.1093/cid/ciw118
16. Science M, Timberlake K, Morris A, Read S, Le Saux N; Groupe Antibiothérapie en Pédiatrie Canada Alliance for Stewardship of Antimicrobials in Pediatrics (GAP Can ASAP). Quality metrics for antimicrobial stewardship programs. Pediatrics. 2019;143(4):e20182372. https://doi.org/10.1542/peds.2018-2372
17. Tchou MJ, Hall M, Shah SS, et al; Pediatric Research in Inpatient Settings (PRIS) Network. Patterns of electrolyte testing at children’s hospitals for common inpatient diagnoses. Pediatrics. 2019;144(1):e20181644. https://doi.org/10.1542/peds.2018-1644
18. Florin TA, French B, Zorc JJ, Alpern ER, Shah SS. Variation in emergency department diagnostic testing and disposition outcomes in pneumonia. Pediatrics. 2013;132(2):237-244. https://doi.org/10.1542/peds.2013-0179
19. Desai S, Shah SS, Hall M, Richardson TE, Thomson JE; Pediatric Research in Inpatient Settings (PRIS) Network. Imaging strategies and outcomes in children hospitalized with cervical lymphadenitis. J Hosp Med. 2020;15(4):197-203. https://doi.org/10.12788/jhm.3333
20. Markham JL, Hall M, Bettenhausen JL, Myers AL, Puls HT, McCulloh RJ. Variation in care and clinical outcomes in children hospitalized with orbital cellulitis. Hosp Pediatr. 2018;8(1):28-35. https://doi.org/10.1542/hpeds.2017-0040
21. Tieder JS, Hall M, Auger KA, et al. Accuracy of administrative billing codes to detect urinary tract infection hospitalizations. Pediatrics. 2011;128(2):323-330. https://doi.org/10.1542/peds.2010-2064
22. Singh JA, Yu S. The burden of septic arthritis on the U.S. inpatient care: a national study. PLoS One. 2017;12(8):e0182577. https://doi.org/10.1371/journal.pone.0182577
23. Foradori DM, Lopez MA, Hall M, et al. Invasive bacterial infections in infants younger than 60 days with skin and soft tissue infections. Pediatr Emerg Care. 2018. https://doi.org/10.1097/pec.0000000000001584
24. Feudtner C, Feinstein JA, Zhong W, Hall M, Dai D. Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation. BMC Pediatr. 2014;14:199. https://doi.org/10.1186/1471-2431-14-199
25. Arancibia A, Icarte A, González C, Morasso I. Dose-dependent bioavailability of amoxycillin. Int J Clin Pharmacol Ther Toxicol. 1988;26(6):300-303.
26. Grayson ML, Cosgrove S, Crowe S, et al. Kucers’ the Use of Antibiotics: A Clinical Review of Antibacterial, Antifungal, Antiparasitic, and Antiviral Drugs. 7th ed. CRC Press; 2018.
27. Downes KJ, Hahn A, Wiles J, Courter JD, Inks AA. Dose optimisation of antibiotics in children: application of pharmacokinetics/pharmacodynamics in pediatrics’. Int J Antimicrob Agents. 2014;43(3):223-230. https://doi.org/10.1016/j.ijantimicag.2013.11.006
28. Gras-Le Guen C, Boscher C, Godon N, et al. Therapeutic amoxicillin levels achieved with oral administration in term neonates. Eur J Clin Pharmacol. 2007;63(7):657-662. https://doi.org/10.1007/s00228-007-0307-3
29. Sanchez Navarro A. New formulations of amoxicillin/clavulanic acid: a pharmacokinetic and pharmacodynamic review. Clin Pharmacokinet. 2005;44(11):1097-1115. https://doi.org/10.2165/00003088-200544110-00001
30. Fine MJ, Hough LJ, Medsger AR, et al. The hospital admission decision for patients with community-acquired pneumonia. Results from the pneumonia Patient Outcomes Research Team cohort study. Arch Intern Med. 1997;157(1):36-44. https://doi.org/10.1001/archinte.1997.00440220040006
31. Pohl A. Modes of administration of antibiotics for symptomatic severe urinary tract infections. Cochrane Database Syst Rev. 2007(4):CD003237. https://doi.org/10.1002/14651858.cd003237.pub2
32. Nageswaran S, Woods CR, Benjamin DK Jr, Givner LB, Shetty AK. Orbital cellulitis in children. Pediatr Infect Dis J. 2006;25(8):695-699. https://doi.org/10.1097/01.inf.0000227820.36036.f1
33. Al-Nammari S, Roberton B, Ferguson C. Towards evidence based emergency medicine: best BETs from the Manchester Royal Infirmary. Should a child with preseptal periorbital cellulitis be treated with intravenous or oral antibiotics? Emerg Med J. 2007;24(2):128-129. https://doi.org/10.1136/emj.2006.045245
34. Vieira F, Allen SM, Stocks RMS, Thompson JW. Deep neck infection. Otolaryngol Clin North Am. 2008;41(3):459-483, vii. https://doi.org/10.1016/j.otc.2008.01.002
35. Smith M, Shah S, Kronman M, Patel S, Thurm C, Hersh AL. Route of administration for highly orally bioavailable antibiotics. Open Forum Infect Dis. 2017;4(Suppl 1):S498-S499. https://doi.org/10.1093/ofid/ofx163.1291
36. Brady PW, Brinkman WB, Simmons JM, et al. Oral antibiotics at discharge for children with acute osteomyelitis: a rapid cycle improvement project. BMJ Qual Saf. 2014;23(6):499-507. https://doi.org/10.1136/bmjqs-2013-002179
37. Berrevoets MAH, Pot JHLW, Houterman AE, et al. An electronic trigger tool to optimise intravenous to oral antibiotic switch: a controlled, interrupted time series study. Antimicrob Resist Infect Control. 2017;6:81. https://doi.org/10.1186/s13756-017-0239-3
38. Fischer MA, Solomon DH, Teich JM, Avorn J. Conversion from intravenous to oral medications: assessment of a computerized intervention for hospitalized patients. Arch Intern Med. 2003;163(21):2585-2589. https://doi.org/10.1001/archinte.163.21.2585
39. Public Health Ontario. Antimicrobial stewardship programs metric examples. Published 2017. Accessed June 1, 2020. https://www.publichealthontario.ca/-/media/documents/A/2017/asp-metrics-examples.pdf?la=en
40. Desai S, Aronson PL, Shabanova V, et al; Febrile Young Infant Research Collaborative. Parenteral antibiotic therapy duration in young infants with bacteremic urinary tract infections. Pediatrics. 2019;144(3):e20183844. https://doi.org/10.1542/peds.2018-3844
1. Keren R, Luan X, Localio R, et al. Prioritization of comparative effectiveness research topics in hospital pediatrics. Arch Pediatr Adolesc Med. 2012;166(12):1155-1164. https://doi.org/10.1001/archpediatrics.2012.1266
2. McMullan BJ, Andresen D, Blyth CC, et al. Antibiotic duration and timing of the switch from intravenous to oral route for bacterial infections in children: systematic review and guidelines. Lancet Infect Dis. 2016;16(8):e139-e152. https://doi.org/10.1016/S1473-3099(16)30024-X
3. Keren R, Shah SS, Srivastava R, et al; for the Pediatric Research Inpatient Settings Network. Comparative effectiveness of intravenous vs oral antibiotics for postdischarge treatment of acute osteomyelitis in children. JAMA Pediatr. 2015;169(2):120-128. https://doi.org/10.1001/jamapediatrics.2014.2822
4. Shah SS, Srivastava R, Wu S, et al. Intravenous versus oral antibiotics for postdischarge treatment of complicated pneumonia. Pediatrics. 2016;138(6):e201692. https://doi.org/10.1542/peds.2016-1692
5. Li HK, Agweyu A, English M, Bejon P. An unsupported preference for intravenous antibiotics. PLoS Med. 2015;12(5):e1001825. https://dx.doi.org/10.1371%2Fjournal.pmed.1001825
6. Dellit TH, Owens RC, McGowan JE Jr, et al; Infectious Diseases Society of America; Society for Healthcare Epidemiology of America. Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship. Clin Infect Dis. 2007;44(2):159-177. https://doi.org/10.1086/510393
7. Bradley JS, Byington CL, Shah SS, et al; Pediatric Infectious Diseases Society and the Infectious Diseases Society of America. Management of community-acquired pneumonia (CAP) 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-e76. https://doi.org/10.1542/peds.2011-2385
8. Septimus EJ, Owens RC Jr. Need and potential of antimicrobial stewardship in community hospitals. Clin Infect Dis. 2011;53 Suppl 1:S8-S14. https://doi.org/10.1093/cid/cir363
9. Schroeder AR, Ralston SL. Intravenous antibiotic durations for common bacterial infections in children: when is enough? J Hosp Med. 2014;9(9):604-609. https://doi.org/10.1002/jhm.2239
10. Christensen EW, Spaulding AB, Pomputius WF, Grapentine SP. Effects of hospital practice patterns for antibiotic administration for pneumonia on hospital lengths of stay and costs. J Pediatric Infect Dis Soc. 2019;8(2):115-121. https://doi.org/10.1093/jpids/piy003
11. van Zanten AR, Engelfriet PM, van Dillen K, van Veen M, Nuijten MJ, Polderman KH. Importance of nondrug costs of intravenous antibiotic therapy. Crit Care. 2003;7(6):R184-R190. https://doi.org/10.1186/cc2388
12. Ruebner R, Keren R, Coffin S, Chu J, Horn D, Zaoutis TE. Complications of central venous catheters used for the treatment of acute hematogenous osteomyelitis. Pediatrics. 2006;117(4):1210-1215. https://doi.org/10.1542/peds.2005-1465
13. Girdwood SCT, Sellas MN, Courter JD, et al. Improving the transition of intravenous to enteral antibiotics in pediatric patients with pneumonia or skin and soft tissue infections. J Hosp Med. 2020;15(1):10-15. https://doi.org/10.12788/jhm.3253
14. Core Elements of Hospital Antibiotic Stewardship Programs. Centers for Disease Control and Prevention. Published 2019. Accessed May 30, 2020. https://www.cdc.gov/antibiotic-use/core-elements/hospital.html
15. Barlam TF, Cosgrove SE, Abbo LM, et al. Implementing an antibiotic stewardship program: guidelines by the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America. Clin Infect Dis. 2016;62(10):e51-e77. https://doi.org/10.1093/cid/ciw118
16. Science M, Timberlake K, Morris A, Read S, Le Saux N; Groupe Antibiothérapie en Pédiatrie Canada Alliance for Stewardship of Antimicrobials in Pediatrics (GAP Can ASAP). Quality metrics for antimicrobial stewardship programs. Pediatrics. 2019;143(4):e20182372. https://doi.org/10.1542/peds.2018-2372
17. Tchou MJ, Hall M, Shah SS, et al; Pediatric Research in Inpatient Settings (PRIS) Network. Patterns of electrolyte testing at children’s hospitals for common inpatient diagnoses. Pediatrics. 2019;144(1):e20181644. https://doi.org/10.1542/peds.2018-1644
18. Florin TA, French B, Zorc JJ, Alpern ER, Shah SS. Variation in emergency department diagnostic testing and disposition outcomes in pneumonia. Pediatrics. 2013;132(2):237-244. https://doi.org/10.1542/peds.2013-0179
19. Desai S, Shah SS, Hall M, Richardson TE, Thomson JE; Pediatric Research in Inpatient Settings (PRIS) Network. Imaging strategies and outcomes in children hospitalized with cervical lymphadenitis. J Hosp Med. 2020;15(4):197-203. https://doi.org/10.12788/jhm.3333
20. Markham JL, Hall M, Bettenhausen JL, Myers AL, Puls HT, McCulloh RJ. Variation in care and clinical outcomes in children hospitalized with orbital cellulitis. Hosp Pediatr. 2018;8(1):28-35. https://doi.org/10.1542/hpeds.2017-0040
21. Tieder JS, Hall M, Auger KA, et al. Accuracy of administrative billing codes to detect urinary tract infection hospitalizations. Pediatrics. 2011;128(2):323-330. https://doi.org/10.1542/peds.2010-2064
22. Singh JA, Yu S. The burden of septic arthritis on the U.S. inpatient care: a national study. PLoS One. 2017;12(8):e0182577. https://doi.org/10.1371/journal.pone.0182577
23. Foradori DM, Lopez MA, Hall M, et al. Invasive bacterial infections in infants younger than 60 days with skin and soft tissue infections. Pediatr Emerg Care. 2018. https://doi.org/10.1097/pec.0000000000001584
24. Feudtner C, Feinstein JA, Zhong W, Hall M, Dai D. Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation. BMC Pediatr. 2014;14:199. https://doi.org/10.1186/1471-2431-14-199
25. Arancibia A, Icarte A, González C, Morasso I. Dose-dependent bioavailability of amoxycillin. Int J Clin Pharmacol Ther Toxicol. 1988;26(6):300-303.
26. Grayson ML, Cosgrove S, Crowe S, et al. Kucers’ the Use of Antibiotics: A Clinical Review of Antibacterial, Antifungal, Antiparasitic, and Antiviral Drugs. 7th ed. CRC Press; 2018.
27. Downes KJ, Hahn A, Wiles J, Courter JD, Inks AA. Dose optimisation of antibiotics in children: application of pharmacokinetics/pharmacodynamics in pediatrics’. Int J Antimicrob Agents. 2014;43(3):223-230. https://doi.org/10.1016/j.ijantimicag.2013.11.006
28. Gras-Le Guen C, Boscher C, Godon N, et al. Therapeutic amoxicillin levels achieved with oral administration in term neonates. Eur J Clin Pharmacol. 2007;63(7):657-662. https://doi.org/10.1007/s00228-007-0307-3
29. Sanchez Navarro A. New formulations of amoxicillin/clavulanic acid: a pharmacokinetic and pharmacodynamic review. Clin Pharmacokinet. 2005;44(11):1097-1115. https://doi.org/10.2165/00003088-200544110-00001
30. Fine MJ, Hough LJ, Medsger AR, et al. The hospital admission decision for patients with community-acquired pneumonia. Results from the pneumonia Patient Outcomes Research Team cohort study. Arch Intern Med. 1997;157(1):36-44. https://doi.org/10.1001/archinte.1997.00440220040006
31. Pohl A. Modes of administration of antibiotics for symptomatic severe urinary tract infections. Cochrane Database Syst Rev. 2007(4):CD003237. https://doi.org/10.1002/14651858.cd003237.pub2
32. Nageswaran S, Woods CR, Benjamin DK Jr, Givner LB, Shetty AK. Orbital cellulitis in children. Pediatr Infect Dis J. 2006;25(8):695-699. https://doi.org/10.1097/01.inf.0000227820.36036.f1
33. Al-Nammari S, Roberton B, Ferguson C. Towards evidence based emergency medicine: best BETs from the Manchester Royal Infirmary. Should a child with preseptal periorbital cellulitis be treated with intravenous or oral antibiotics? Emerg Med J. 2007;24(2):128-129. https://doi.org/10.1136/emj.2006.045245
34. Vieira F, Allen SM, Stocks RMS, Thompson JW. Deep neck infection. Otolaryngol Clin North Am. 2008;41(3):459-483, vii. https://doi.org/10.1016/j.otc.2008.01.002
35. Smith M, Shah S, Kronman M, Patel S, Thurm C, Hersh AL. Route of administration for highly orally bioavailable antibiotics. Open Forum Infect Dis. 2017;4(Suppl 1):S498-S499. https://doi.org/10.1093/ofid/ofx163.1291
36. Brady PW, Brinkman WB, Simmons JM, et al. Oral antibiotics at discharge for children with acute osteomyelitis: a rapid cycle improvement project. BMJ Qual Saf. 2014;23(6):499-507. https://doi.org/10.1136/bmjqs-2013-002179
37. Berrevoets MAH, Pot JHLW, Houterman AE, et al. An electronic trigger tool to optimise intravenous to oral antibiotic switch: a controlled, interrupted time series study. Antimicrob Resist Infect Control. 2017;6:81. https://doi.org/10.1186/s13756-017-0239-3
38. Fischer MA, Solomon DH, Teich JM, Avorn J. Conversion from intravenous to oral medications: assessment of a computerized intervention for hospitalized patients. Arch Intern Med. 2003;163(21):2585-2589. https://doi.org/10.1001/archinte.163.21.2585
39. Public Health Ontario. Antimicrobial stewardship programs metric examples. Published 2017. Accessed June 1, 2020. https://www.publichealthontario.ca/-/media/documents/A/2017/asp-metrics-examples.pdf?la=en
40. Desai S, Aronson PL, Shabanova V, et al; Febrile Young Infant Research Collaborative. Parenteral antibiotic therapy duration in young infants with bacteremic urinary tract infections. Pediatrics. 2019;144(3):e20183844. https://doi.org/10.1542/peds.2018-3844
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