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Antibiotic Prophylaxis Might Prevent Recurrent UTIs
Clinical question: Does antibiotic prophylaxis prevent future episodes of urinary tract infections?
Background: Recurrent urinary tract infections (UTI) in children might be associated with renal scarring and subsequent clinical consequences associated with long-term morbidity. Historically, antibiotic prophylaxis has been recommended for children who might have risk factors for recurrent infection, most commonly vesicoureteral reflux. However, scars may be present in the absence of known risk factors and upon first UTI. The efficacy of antibiotic prophylaxis in preventing recurrent UTIs is unclear.
Study design: Randomized, double-blind, placebo-controlled trial.
Setting: Four centers in Australia.
Synopsis: The study looked at 576 children under the age of 18 with a history of at least one symptomatic UTI. The patients were randomized to receive trimethoprim-sulfamethoxazole (TMP-SMX) or placebo for 12 months. Children with vesicoureteral reflux were included, but those with known neurologic, skeletal, or urologic predispositions were excluded.
Thirteen percent of patients in the antibiotic group developed a UTI compared with 19% of patients in the placebo group (P=0.02). The authors calculate that at 12 months, 14 patients would need to be treated to prevent one UTI.
This study was unable to enroll the planned number of children but remained adequately powered to show a reduction in the primary outcome (rate of symptomatic UTI). However, a significant number of patients (approximately 28%) in each arm stopped taking the medication, the majority for undisclosed reasons. Despite an intention-to-treat analysis, this degree of dropout raises questions about the true effect size. Additionally, this study does not answer the more important clinical question regarding the effect of prophylaxis on potential future renal damage, specifically in children with vesicoureteral reflux.
Bottom line: Antibiotic prophylaxis might be modestly effective in preventing recurrent UTIs.
Citation: Craig JC, Simpson JM, Williams GJ, et al. Antibiotic prophylaxis and recurrent urinary tract infection in children. N Engl J Med. 2009;361(18):1748-1759.
Clinical question: Does antibiotic prophylaxis prevent future episodes of urinary tract infections?
Background: Recurrent urinary tract infections (UTI) in children might be associated with renal scarring and subsequent clinical consequences associated with long-term morbidity. Historically, antibiotic prophylaxis has been recommended for children who might have risk factors for recurrent infection, most commonly vesicoureteral reflux. However, scars may be present in the absence of known risk factors and upon first UTI. The efficacy of antibiotic prophylaxis in preventing recurrent UTIs is unclear.
Study design: Randomized, double-blind, placebo-controlled trial.
Setting: Four centers in Australia.
Synopsis: The study looked at 576 children under the age of 18 with a history of at least one symptomatic UTI. The patients were randomized to receive trimethoprim-sulfamethoxazole (TMP-SMX) or placebo for 12 months. Children with vesicoureteral reflux were included, but those with known neurologic, skeletal, or urologic predispositions were excluded.
Thirteen percent of patients in the antibiotic group developed a UTI compared with 19% of patients in the placebo group (P=0.02). The authors calculate that at 12 months, 14 patients would need to be treated to prevent one UTI.
This study was unable to enroll the planned number of children but remained adequately powered to show a reduction in the primary outcome (rate of symptomatic UTI). However, a significant number of patients (approximately 28%) in each arm stopped taking the medication, the majority for undisclosed reasons. Despite an intention-to-treat analysis, this degree of dropout raises questions about the true effect size. Additionally, this study does not answer the more important clinical question regarding the effect of prophylaxis on potential future renal damage, specifically in children with vesicoureteral reflux.
Bottom line: Antibiotic prophylaxis might be modestly effective in preventing recurrent UTIs.
Citation: Craig JC, Simpson JM, Williams GJ, et al. Antibiotic prophylaxis and recurrent urinary tract infection in children. N Engl J Med. 2009;361(18):1748-1759.
Clinical question: Does antibiotic prophylaxis prevent future episodes of urinary tract infections?
Background: Recurrent urinary tract infections (UTI) in children might be associated with renal scarring and subsequent clinical consequences associated with long-term morbidity. Historically, antibiotic prophylaxis has been recommended for children who might have risk factors for recurrent infection, most commonly vesicoureteral reflux. However, scars may be present in the absence of known risk factors and upon first UTI. The efficacy of antibiotic prophylaxis in preventing recurrent UTIs is unclear.
Study design: Randomized, double-blind, placebo-controlled trial.
Setting: Four centers in Australia.
Synopsis: The study looked at 576 children under the age of 18 with a history of at least one symptomatic UTI. The patients were randomized to receive trimethoprim-sulfamethoxazole (TMP-SMX) or placebo for 12 months. Children with vesicoureteral reflux were included, but those with known neurologic, skeletal, or urologic predispositions were excluded.
Thirteen percent of patients in the antibiotic group developed a UTI compared with 19% of patients in the placebo group (P=0.02). The authors calculate that at 12 months, 14 patients would need to be treated to prevent one UTI.
This study was unable to enroll the planned number of children but remained adequately powered to show a reduction in the primary outcome (rate of symptomatic UTI). However, a significant number of patients (approximately 28%) in each arm stopped taking the medication, the majority for undisclosed reasons. Despite an intention-to-treat analysis, this degree of dropout raises questions about the true effect size. Additionally, this study does not answer the more important clinical question regarding the effect of prophylaxis on potential future renal damage, specifically in children with vesicoureteral reflux.
Bottom line: Antibiotic prophylaxis might be modestly effective in preventing recurrent UTIs.
Citation: Craig JC, Simpson JM, Williams GJ, et al. Antibiotic prophylaxis and recurrent urinary tract infection in children. N Engl J Med. 2009;361(18):1748-1759.
Variation in the Treatment of Henoch-Schönlein Purpura
Clinical question: What is the degree of variation in the inpatient management of Henoch-Schönlein purpura (HSP)?
Background: HSP is the most common pediatric vasculitis, but there are no consensus recommendations or guidelines for treatment. The amount of variation in the pharmacologic management of this disease is unknown.
Study design: Retrospective database analysis.
Setting: Thirty-six children’s hospitals affiliated with the Child Health Corporation of America.
Synopsis: The Pediatric Health Information (PHIS) database was sampled for children younger than 18 years of age with an ICD-9-CM code of HSP and discharge from a hospital that submitted appropriate data from 2000 to 2007. Only index admissions were included, and children with coexisting rheumatic conditions were excluded, for a total of 1,988 subjects.
Logistic regression analysis was used to examine the effects of patient-level standardization on hospital-level rates of therapy and the degree to which variation across hospitals occurred beyond what would be expected after standardization.
Hospital-level variation in medication use was significant (P<0.001) for corticosteroids, opiates, and nonsteroidal anti-inflammatory drugs (NSAIDs), even after adjustment for severity and age at presentation.
Although variation in management is not surprising, the significant degree to which this occurred at the hospital level suggests that local institutional culture plays a dominant role in decision-making. The use of the PHIS database allows for analysis of a large population that would be otherwise difficult to study. However, significant numbers of HSP patients do not require hospitalization, and the study results might substantially over- or underestimate practice patterns. Collaborative efforts to better define optimal management of HSP are needed.
Bottom line: A significant degree of hospital-level variation exists in the inpatient management of HSP.
Citation: Weiss PF, Klink AJ, Hexem K, et al. Variation in inpatient therapy and diagnostic evaluation of children with henoch schönlein purpura. J Pediatr. 2009;155(6):812-818.e1.
Clinical question: What is the degree of variation in the inpatient management of Henoch-Schönlein purpura (HSP)?
Background: HSP is the most common pediatric vasculitis, but there are no consensus recommendations or guidelines for treatment. The amount of variation in the pharmacologic management of this disease is unknown.
Study design: Retrospective database analysis.
Setting: Thirty-six children’s hospitals affiliated with the Child Health Corporation of America.
Synopsis: The Pediatric Health Information (PHIS) database was sampled for children younger than 18 years of age with an ICD-9-CM code of HSP and discharge from a hospital that submitted appropriate data from 2000 to 2007. Only index admissions were included, and children with coexisting rheumatic conditions were excluded, for a total of 1,988 subjects.
Logistic regression analysis was used to examine the effects of patient-level standardization on hospital-level rates of therapy and the degree to which variation across hospitals occurred beyond what would be expected after standardization.
Hospital-level variation in medication use was significant (P<0.001) for corticosteroids, opiates, and nonsteroidal anti-inflammatory drugs (NSAIDs), even after adjustment for severity and age at presentation.
Although variation in management is not surprising, the significant degree to which this occurred at the hospital level suggests that local institutional culture plays a dominant role in decision-making. The use of the PHIS database allows for analysis of a large population that would be otherwise difficult to study. However, significant numbers of HSP patients do not require hospitalization, and the study results might substantially over- or underestimate practice patterns. Collaborative efforts to better define optimal management of HSP are needed.
Bottom line: A significant degree of hospital-level variation exists in the inpatient management of HSP.
Citation: Weiss PF, Klink AJ, Hexem K, et al. Variation in inpatient therapy and diagnostic evaluation of children with henoch schönlein purpura. J Pediatr. 2009;155(6):812-818.e1.
Clinical question: What is the degree of variation in the inpatient management of Henoch-Schönlein purpura (HSP)?
Background: HSP is the most common pediatric vasculitis, but there are no consensus recommendations or guidelines for treatment. The amount of variation in the pharmacologic management of this disease is unknown.
Study design: Retrospective database analysis.
Setting: Thirty-six children’s hospitals affiliated with the Child Health Corporation of America.
Synopsis: The Pediatric Health Information (PHIS) database was sampled for children younger than 18 years of age with an ICD-9-CM code of HSP and discharge from a hospital that submitted appropriate data from 2000 to 2007. Only index admissions were included, and children with coexisting rheumatic conditions were excluded, for a total of 1,988 subjects.
Logistic regression analysis was used to examine the effects of patient-level standardization on hospital-level rates of therapy and the degree to which variation across hospitals occurred beyond what would be expected after standardization.
Hospital-level variation in medication use was significant (P<0.001) for corticosteroids, opiates, and nonsteroidal anti-inflammatory drugs (NSAIDs), even after adjustment for severity and age at presentation.
Although variation in management is not surprising, the significant degree to which this occurred at the hospital level suggests that local institutional culture plays a dominant role in decision-making. The use of the PHIS database allows for analysis of a large population that would be otherwise difficult to study. However, significant numbers of HSP patients do not require hospitalization, and the study results might substantially over- or underestimate practice patterns. Collaborative efforts to better define optimal management of HSP are needed.
Bottom line: A significant degree of hospital-level variation exists in the inpatient management of HSP.
Citation: Weiss PF, Klink AJ, Hexem K, et al. Variation in inpatient therapy and diagnostic evaluation of children with henoch schönlein purpura. J Pediatr. 2009;155(6):812-818.e1.
Short Course of Oral Antibiotics Effective for Acute Osteomyelitis and Septic Arthritis in Children
By Mark Shen, MD
Clinical question: Is a short course (less than four weeks) of antibiotics effective for the treatment of acute osteomyelitis and septic arthritis?
Background: The optimal duration of treatment for acute bone and joint infections in children has not been assessed adequately in prospectively designed trials. Historically, intravenous (IV) antibiotics in four- to six-week durations have been recommended, although the evidence for this practice is limited. There is widespread variation in both the route of administration (oral vs. IV) and duration of this treatment.
Study design: Prospective cohort study.
Setting: Two children’s hospitals in Australia.
Synopsis: Seventy children ages 17 and under who presented to two tertiary-care children’s hospitals with osteomyelitis or septic arthritis were enrolled. Primary surgical drainage was performed for patients with septic arthritis. Intravenous antibiotics were administered for at least three days, and until clinical symptoms improved and the C-reactive protein levels had stabilized. Patients then were transitioned to oral antibiotics and discharged to complete a minimum of three weeks of therapy.
Fifty-nine percent of patients were converted to oral antibiotics by day three, 86% by day five of therapy. Based on clinical and hematologic assessment, 83% of patients had oral antibiotics stopped at the three-week followup and remained well through the 12-month follow-up period.
This study essentially involved prospective data collection for a cohort of children receiving standardized care. Although the results suggest that a majority of children can be treated with a three-week course of oral antibiotics, the results would have been further strengthened by an explicit protocol with well-defined criteria for the oral to IV transition and cessation of antibiotic therapy. Additional limitations include pathogens and antibiotic choices that might not be applicable to North American populations.
Bottom line: After initial intravenous therapy, a three-week course of oral antibiotics can be effective for acute osteomyelitis and septic arthritis in children.
Citation: Jagodzinski NA, Kanwar R, Graham K, Bache CE. Prospective evaluation of a shortened regimen of treatment for acute osteomyelitis and septic arthritis in children. J Pediatr Orthop. 2009;29(5):518-525.
By Mark Shen, MD
Clinical question: Is a short course (less than four weeks) of antibiotics effective for the treatment of acute osteomyelitis and septic arthritis?
Background: The optimal duration of treatment for acute bone and joint infections in children has not been assessed adequately in prospectively designed trials. Historically, intravenous (IV) antibiotics in four- to six-week durations have been recommended, although the evidence for this practice is limited. There is widespread variation in both the route of administration (oral vs. IV) and duration of this treatment.
Study design: Prospective cohort study.
Setting: Two children’s hospitals in Australia.
Synopsis: Seventy children ages 17 and under who presented to two tertiary-care children’s hospitals with osteomyelitis or septic arthritis were enrolled. Primary surgical drainage was performed for patients with septic arthritis. Intravenous antibiotics were administered for at least three days, and until clinical symptoms improved and the C-reactive protein levels had stabilized. Patients then were transitioned to oral antibiotics and discharged to complete a minimum of three weeks of therapy.
Fifty-nine percent of patients were converted to oral antibiotics by day three, 86% by day five of therapy. Based on clinical and hematologic assessment, 83% of patients had oral antibiotics stopped at the three-week followup and remained well through the 12-month follow-up period.
This study essentially involved prospective data collection for a cohort of children receiving standardized care. Although the results suggest that a majority of children can be treated with a three-week course of oral antibiotics, the results would have been further strengthened by an explicit protocol with well-defined criteria for the oral to IV transition and cessation of antibiotic therapy. Additional limitations include pathogens and antibiotic choices that might not be applicable to North American populations.
Bottom line: After initial intravenous therapy, a three-week course of oral antibiotics can be effective for acute osteomyelitis and septic arthritis in children.
Citation: Jagodzinski NA, Kanwar R, Graham K, Bache CE. Prospective evaluation of a shortened regimen of treatment for acute osteomyelitis and septic arthritis in children. J Pediatr Orthop. 2009;29(5):518-525.
By Mark Shen, MD
Clinical question: Is a short course (less than four weeks) of antibiotics effective for the treatment of acute osteomyelitis and septic arthritis?
Background: The optimal duration of treatment for acute bone and joint infections in children has not been assessed adequately in prospectively designed trials. Historically, intravenous (IV) antibiotics in four- to six-week durations have been recommended, although the evidence for this practice is limited. There is widespread variation in both the route of administration (oral vs. IV) and duration of this treatment.
Study design: Prospective cohort study.
Setting: Two children’s hospitals in Australia.
Synopsis: Seventy children ages 17 and under who presented to two tertiary-care children’s hospitals with osteomyelitis or septic arthritis were enrolled. Primary surgical drainage was performed for patients with septic arthritis. Intravenous antibiotics were administered for at least three days, and until clinical symptoms improved and the C-reactive protein levels had stabilized. Patients then were transitioned to oral antibiotics and discharged to complete a minimum of three weeks of therapy.
Fifty-nine percent of patients were converted to oral antibiotics by day three, 86% by day five of therapy. Based on clinical and hematologic assessment, 83% of patients had oral antibiotics stopped at the three-week followup and remained well through the 12-month follow-up period.
This study essentially involved prospective data collection for a cohort of children receiving standardized care. Although the results suggest that a majority of children can be treated with a three-week course of oral antibiotics, the results would have been further strengthened by an explicit protocol with well-defined criteria for the oral to IV transition and cessation of antibiotic therapy. Additional limitations include pathogens and antibiotic choices that might not be applicable to North American populations.
Bottom line: After initial intravenous therapy, a three-week course of oral antibiotics can be effective for acute osteomyelitis and septic arthritis in children.
Citation: Jagodzinski NA, Kanwar R, Graham K, Bache CE. Prospective evaluation of a shortened regimen of treatment for acute osteomyelitis and septic arthritis in children. J Pediatr Orthop. 2009;29(5):518-525.
Choosing Wisely in Pediatric Medicine
Overuse in medicine is a significant and under‐recognized problem. Don Berwick estimated that waste accounts for at least 20% of healthcare expenditures in the United States, with overtreatment as one of the largest categories.[1] A commentary by Schroeder et al. challenged pediatricians to incorporate this knowledge into our own patient safety and quality movement.[2] Recently published data suggest that we are far from achieving the patient safety goals set forth in the Institute of Medicine's landmark To Err is Human[3] report, despite more than a decade of national, local, and regional efforts.[4] One way to reduce waste and improve patient safety is to eliminate practices of unproven benefit. Therapies or tests that may initially seem promising are often proven to be not only unhelpful but actually harmful. The recommendation of the US Preventive Services Task Force against routine screening for prostate specific antigen is an example of how a common test initially thought of as lifesaving actually increases harm.[5]
The American Board of Internal Medicine Foundation (ABIM‐F) recently announced the Choosing Wisely campaign. Through this campaign the Foundation encourages physicians, patients and other healthcare stakeholders to think and talk about medical tests and procedures that may be unnecessary.[6] The primary output of this challenge is the development of a list of 5 tests and or therapies that physicians and patients should question. The ABIM‐F approached different medical societies to develop these lists within their own specialties. The Society of Hospital Medicine (SHM) joined the Choosing Wisely campaign in April 2012, and agreed to develop a list of 5 therapies and tests for adult hospital medicine and pediatric hospital medicine. Here we present the contribution of the pediatric workgroup detailing the methodology and process for developing the list, as well as summarizing the evidence supporting each recommendation.
METHODS
In the spring of 2012, the pediatric committee of the SHM convened a workgroup of pediatric hospitalists to develop a top 5 list for the field. This workgroup was composed of experienced pediatric hospitalists representing diverse geographic locations of the United States and a mix of academic and nonacademic practice settings. The group, consisting of 4 women and 9 men, began by proposing candidate recommendations after discussion with colleagues at their different practice sites. The group was charged to maintain a focus on overuse practices that had a strong basis in evidence, were frequently encountered at their practice sites, and achieved significant consensus among their colleagues. Figure 1 shows the process map describing the method for the development of the pediatric recommendations. All workgroup participants were queried as to conflict of interest relevant to this work and none were identified.
Literature Review
After the generation of the initial top 20 list, 2 reviewers conducted independent literature searches in PubMed, MEDLINE, and the Cochrane Library on the proposed topics. The reviewers also conducted generic Internet searches. Key search terms included pediatric asthma, bronchiolitis, chest radiograph, systemic corticosteroids, gastroesophageal reflux disease (GERD), infant, child, acid suppression therapy, continuous pulse oximetry, pneumonia, gastroenteritis, viral testing, blood culture, and soft tissue infections. To ensure that the reviewers included all studies relevant to the searches, they utilized broad terms. The search included all literature published through 2012, and nonEnglish language publications were included in the search. Studies selected and included in the review were based upon common criteria including whether the article discussed an evaluation of efficacy and/or utility of treatment, included a pediatric population in the guidelines or study, reviewed the harm associated with the administration of a particular test or treatment, and explored the cost associated with the test or treatment.
The Delphi Panel
Members of the workgroup formed a Delphi panel except for 1 member (R.Q.) who served as the nonvoting moderator. The members of the Delphi panel considered the results of the literature search for each recommendation along with the collated feedback from hospitalist listserves as described in Figure 1. Each panel member received a voting instrument with the candidate tests and treatments for the first round of Delphi voting. The panel utilized a modified Delphi method or the RAND Corporation (RAND)/University of California at Los Angeles (UCLA) appropriateness method as described in previous publications of quality indicator development in pediatrics.[7] Each panelist scored the candidate tests and treatments and forwarded the scores to the moderator. Subsequently, all the members of the Delphi panel met through a conference call to carry out the second round of voting. The deidentified collated results of the first round of Delphi voting were made available and discussed during the call. The moderator collated the final results, and the final 5 recommendations were those that had the highest score after the second round of Delphi voting.
Volume and Costs
During deliberations, the committee took into account the prevalence and cost rankings of our most common pediatric inpatient diagnoses. This was done using the Agency for Healthcare Research and Quality's (AHRQ) Healthcare Utilization Project (HCUP), specifically, the Kids' Inpatient Database (KID). HCUP includes the largest collection of longitudinal hospital care data in the United States, encompassing all‐payer discharge‐level information. We excluded normal newborn hospitalizations, and looked at the top 10 acute inpatient diagnoses in terms of both volume and aggregate costs.
RESULTS
The initial list of 20 candidate tests and treatments as well as the refined list of 11 recommendations can be found as electronic supplements to this publication (see Supporting Table 1 and Supporting Table 2 in the online version of this article). The format and language of the list of 11 recommendations were chosen to mesh with that typically used in the ABIM‐F Choosing Wisely campaign. During the Delphi panel, there was strong group consensus about combining items 1 and 2 (chest radiographs in asthma and bronchiolitis) into a single recommendation.
Do not order chest radiographs in children with asthma or bronchiolitis. |
Do not use bronchodilators in children with bronchiolitis. |
Do not use systemic corticosteroids in children under 2 years of age with a lower respiratory tract infection. |
Do not treat gastroesophageal reflux in infants routinely with acid suppression therapy. |
Do not use continuous pulse oximetry routinely in children with acute respiratory illness unless they are on supplemental oxygen. |
The top 5 recommendations based on the result of the second round of Delphi scoring are shown in Table 1 and described below along with a detailed evidence summary.
Do not order chest radiographs in children with asthma or bronchiolitis.
The National Heart and Lung Institute's guidelines for the management of asthma, published in 1987, recommend against routinely obtaining chest radiographs in patients with asthma or asthma exacerbations.[8] Supporting this recommendation are several studies that show a low overall yield when obtaining chest radiographs for wheezing patients.[9, 10, 11] Most relevant, studies that evaluated the clinical utility of radiographs in patients with asthma have demonstrated that they influence clinical management in less than 2% of cases.[12] A quality improvement project aimed at decreasing the rate of chest radiographs obtained in patients with asthma demonstrated that close to 60% of patients admitted to the hospital had chest radiographs performed, and that significant overall reductions can be achieved (45.3%28.9%, P=0.0005) without impacting clinical outcomes negatively.[13]
Similarly, the Subcommittee on Diagnosis and Management of Bronchiolitis of the American Academy of Pediatrics recommends against routinely obtaining radiographs during the evaluation for bronchiolitis.[14] Studies assessing the utility of chest x‐rays in these children demonstrate an even lower incidence of abnormalities (0.75%) and indicate that, despite this low incidence, physicians are more likely to treat with antibiotics when radiographs are obtained.[15] There is also evidence that chest radiographs in patients with bronchiolitis are not useful in predicting severity of illness.[16] Furthermore, cost‐effective analyses have demonstrated that omitting chest radiographs in bronchiolitis is actually cost‐effective, without compromising diagnostic accuracy.[17] In a recently published national benchmarking inpatient collaborative, Ralston et al. demonstrated that the majority of patients admitted to the hospital with bronchiolitis have chest radiographs performed at a rate of 64% (interquartile range [IQR], 54%81%).[18]
In both bronchiolitis and asthma, the elimination of unnecessary radiographs has the potential to decrease costs, reduce radiation exposure, and minimize the overuse of antibiotics that often occurs secondary to false positive results.
Do not use bronchodilators in children with bronchiolitis.
Ralston showed that 70% (IQR, 59%83%) of admitted bronchiolitis patients received bronchodilators with an average of 7.9 doses per patient (IQR, 4.69.8). National guidelines for bronchiolitis suggest a very limited role of bronchodilators in patients with bronchiolitis.[14] The first meta‐analyses of studies related to the question of ‐agonist efficacy in bronchiolitis were published in the late 1990s, revealing minimal or no treatment effects.[19, 20] Since then, further research has solidified these findings, and fairly definitive statements can be made based on a recent comprehensive meta‐analysis.[21] The pooled data do not show any effect on hospitalization rates, hospital length of stay, or other inpatient outcomes in bronchiolitis. They do show a small change in clinical scores documented in the outpatient setting, though these scores have not correlated with any detectable difference in outcomes. Routine use of ‐agonists in the inpatient setting has no proven benefit, and given the large amount of consistent data, there is no compelling reason for further study of this therapy in the inpatient setting.
Epinephrine, a combined ‐ and ‐agonist, has been extensively evaluated in bronchiolitis as well. Like albuterol, epinephrine has been reported to have no effect on hospital length of stay in bronchiolitis.[22] The issue of admission rates after epinephrine is complicated by 1 very large study that combined epinephrine with dexamethasone and reported a decreased admission rate, though only at 7 days after therapy; however, this effect was nullified after adjustment for multiple comparisons.[23] When the end point is improvement of respiratory scores, epinephrine may perform better than albuterol in studies where they are directly compared; however, there is no evidence that repeated usage of epinephrine has any impact on any clinical outcome for inpatients.[24, 25]
Do not use systemic corticosteroids in children under 2 years of age with a lower respiratory tract infection
In their summary of evidence, the Subcommittee on Diagnosis and Management of Bronchiolitis of the American Academy of Pediatrics recommends against routinely using systemic corticosteroids for infants with bronchiolitis.[14] The previously reference bronchiolitis benchmarking study demonstrated that admitted patients received steroids at a rate of 21% (IQR, 14%26%). The poor efficacy of corticosteroids in children with bronchiolitis under 2 years of age is well demonstrated in the literature. A large, blinded, randomized, controlled study compared systemic oral corticosteroids to placebo in hospitalized children 10 months to 6 years of age with viral wheezing.[26] This study showed no benefit of corticosteroids over placebo in length of stay or parental report of symptoms 1 week later. In the study, a subanalysis of children with eczema and family history of asthma also demonstrated no benefit of systemic corticosteroids. Large systematic reviews further argue that there is no effect of corticosteroids on the likelihood of admission or length of stay in infants with bronchiolitis.[27, 28] One 4‐armed prospective study of children 6 weeks to 12 months of age found no efficacy of dexamethasone over placebo.[23] There was modest benefit of dexamethasone in conjunction with racemic epinephrine; however, this benefit disappeared after adjustment for multiple comparisons. Three smaller studies showing benefit of systemic corticosteroids, however, were highly problematic. They have included older children, were retrospective, or demonstrated inconsistent results.[29, 30] A smaller study showed benefit for children over 2 years of age, but none for children under 2 years of age.[31] Premature infants are at increased risk of asthma, which typically responds well to corticosteroids as these children get older. However, a retrospective study of premature infants under 2 years of age with bronchiolitis demonstrated no association between corticosteroid use and length of stay, even in the subset of premature infants responding to albuterol.[32]
Systemic corticosteroid use in children is not harmless. Children under 2 years of age are especially vulnerable to the decreased growth velocity seen as a side effect of systemic corticosteroids.[33] Corticosteroids may also negatively impact the course of infectious illness. For instance, in children hospitalized with pneumonia but not receiving ‐agonists (ie, patients who are unlikely to have asthma), length of stay is prolonged and readmission is higher in those who receive corticosteroids.[34]
Do not treat gastroesophageal reflux in infants routinely with acid suppression therapy.
From 2000 to 2005, the incidence of infants diagnosed with gastroeshopaheal reflux (GER) tripled (3.4%12.3%), and the use of proton pump inhibitors (PPIs) doubled (31.5%62.6%).[35] Patients diagnosed with GER and treated with antireflux medication incurred 1.8 times higher healthcare costs in 1 study compared to healthy controls.[36] Though common, the use of acid suppressive medications in infants lacks evidence for efficacy in the majority of the clinical scenarios in which they are prescribed.[37, 38] PPIs have failed to outperform placebo for typical infant reflux, which is generally developmental and not pathologic.[39, 40] Furthermore, prompted by findings in adults, multiple pediatric investigators have now catalogued the potential risks associated with acid blockade in children in multiple clinical settings. Specifically, increased risk of pneumonia has been documented in inpatients and outpatients, and increased risk of necrotizing enterocolitis and other serious infections have been documented in intensive care unit settings.[41] In the absence of data supporting efficacy and given the emerging data on risk, empiric acid suppression in infants with reflux is wasteful and potentially harmful.
Do not use continuous pulse oximetry routinely in children with acute respiratory illness unless they are on supplemental oxygen.
Pulse oximetry use has become widespread in the management of infants with bronchiolitis and likely accounts for the dramatic increase in bronchiolitis hospitalization rates in recent years.[14, 42, 43, 44, 45, 46, 47] Despite this increase in hospitalization rate, there was no change in mortality from bronchiolitis between 1979 and 1997.[48] The continuous monitoring of oxygen saturations in hospitalized infants with bronchiolitis may lead to overdiagnosis of hypoxemia and subsequent oxygen use that is of no apparent benefit to the child. Schroeder et al. demonstrated that 26% of a sample of infants hospitalized with bronchiolitis had a prolonged length of stay because of a perceived need for oxygen based on pulse oximetry readings.[43] Unger and Cunningham showed that the need for oxygen was the final determinant of length of stay in 58% of cases, and Cunningham and Murray suggested that using an oxygen saturation cutoff of 94% instead of 90% might increase the length of stay by 22 hours.[44, 49]
It has been previously shown that hypoxia is normative in infants. Healthy infants experience multiple episodes of SpO2 90% while sleeping.[50] This finding strengthens the notion that detection of low saturations in infants convalescing from bronchiolitis may simply reflect overdiagnosis. Among children with chronic severe asthma, who presumably have experienced episodes of hypoxia throughout childhood, there is no difference in school performance compared to healthy controls.[51]
The practice parameter on bronchiolitis from the American Academy of Pediatrics states: as the child's clinical course improves, continuous measurement of SpO2 is not routinely needed, which is a recommendation based on expert consensus.[14] There is at least one ongoing randomized trial comparing the use of continuous versus intermittent pulse oximetry in hospitalized infants with bronchiolitis who are weaned off oxygen (
DISCUSSION
Berwick and Hackbarth define overtreatment as: waste that comes from subjecting patients to care that, according to sound science and the patients' own preferences, cannot possibly help themcare rooted in outmoded habits, supply‐driven behaviors, and ignoring science.[1] With this project, we tried to capture common clinical sources of waste in the inpatient pediatric setting. This is an inherently difficult project because of the absence of solid evidence to inform every decision point in medicine. Although there is always room for improvement in our evidence base, our group intentionally gravitated to areas where the evidence was robust.
The primary strength of this work is the use of the RAND/UCLA appropriateness method or modified Delphi method. Several publications have validated this methodology as a sound strategy to assess quality indicators and issues related to overuse.[7, 53] To our knowledge, we are the first group to report the use of this methodology to develop a list such as the list reported here.
There were some challenges inherent to this project that can be considered limitations of the work. One perceived limitation of our list is the heavy concentration on respiratory diagnoses, especially bronchiolitis and asthma. We do not feel this is a genuine limitation, as the recommendations were partly driven by volume and costs as assessed by the KID database. Among the top 10 acute inpatient diagnoses in pediatrics, respiratory diagnoses are the most common, including bronchiolitis, pneumonia, and asthma. Pneumonia or bronchiolitis has been the most common medical diagnosis in inpatient pediatrics for the past decade, and both are always in the top 10 for costs as well.[54] Thus, the impact of decreasing overuse for these conditions will be highly significant from a simple volume standpoint.
The primary limitation of this work is the lack of implementation strategies. Although the Choosing Wisely campaign has plans for dissemination of the lists, compliance with the recommendations may be suboptimal. Although the development process followed an accepted methodology, shortcomings include the lack of wide, local, multidisciplinary (including parents or caretakers) consultation. Other barriers to compliance with these recommendations exist. Despite evidence that bronchiolitis is a benign self‐limited disease that does not respond to bronchodilators and steroids, the drive to identify and correct all abnormalities, such as wheezing or low oxygen saturation in a nontoxic infant with bronchiolitis, seems to trump the obligation to do no harm in daily practice.[55] This behavior may result from pressure by patients, families, nurses, or peers and is deeply embedded in our medical culture, where action is preferred to inaction without full knowledge or consideration of risks. Doctors and nurses have become attached to the pulse oximeter, believing somehow that the number displayed is less subjective and holds more predictive value than careful evaluation of the patient's respiratory status. Other pressures, such as direct to consumer marketing have made acid reflux a household term that is easily treated with over‐the‐counter medications. Considerations of the care continuum will also serve as barriers. Chest x‐rays, for example, are frequently obtained prior to admission to the hospital before the hospitalist is involved.
To overcome these limitations, the study of individual and organizational adoption of innovation might be relevant. Though it is complex and often more descriptive than proscriptive, a few salient features have emerged. Champions and opinion leaders make a difference, local culture is dominant, social networking is important, simple innovations that can be trialed on a small scale are adaptable by the user and have observable benefits, are more likely to be adopted.[56] Fortunately, the top 5 list meets many of these criteria, but also faces the daunting challenges of inertia, lack of financial incentive, inability to break with old habits, and fear of lawsuits and perceived patient/parent dissatisfaction. Ongoing evaluation, feedback, and audit will be necessary to detect and sustain change.
CONCLUSION
We have identified 5 tests or therapies overused in inpatient general pediatrics. One goal of the Choosing Wisely campaign is to begin to change social norms related to physician behavior. We hope by asking clinicians to consider doing less for common conditions in inpatient pediatrics, that they will increasingly consider the known and unanticipated risks of any medical interventions they choose to use. Finally, we would like to encourage all pediatricians to embrace the idea of good stewardship and join us in prioritizing and addressing waste and overuse as important patient safety issues as well as threats to the sustainability of our healthcare system.
Acknowledgments
The authors thank Drs. Doug Carlson, James O'Callaghan, and Karen Smith from the Society of Hospital Medicine's Pediatric and Quality and Safety Committees for their support of this effort.
Disclosure: Nothing to report.
- Eliminating waste in US health care. JAMA. 2012;307:1513–1516. , .
- Safely doing less: a missing component of the patient safety dialogue. Pediatrics. 2011;128:e1596–e1597. , , .
- To Err Is Human: Building a Safer Health System. Washington, DC: National Academy Press; 2000. , , .
- Temporal trends in rates of patient harm resulting from medical care. N Engl J Med. 2010;363:2124–2134. , , , , , .
- Screening for prostate cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2012;157:120–134. .
- Choosing wisely: helping physicians and patients make smart decisions about their care. JAMA. 2012;307:1801–1802. , .
- The quality of ambulatory care delivered to children in the United States. N Engl J Med. 2007;357:1515–1523. , , , et al.
- National Asthma Education and Prevention Program. Expert panel report 3 (EPR‐3): guidelines for the diagnosis and management of asthma—summary report 2007. J Allergy Clin Immunol. 2007;120:S94–S138.
- The chest x‐ray and childhood acute asthma. Aust Clin Rev. 1993;13:153–156. , .
- Clinical factors associated with focal infiltrates in wheezing infants and toddlers. Clin Pediatr (Phila). 2000;39:387–393. , , , .
- Chest radiographs in the pediatric emergency department for children < or = 18 months of age with wheezing. Clin Pediatr (Phila). 1999;38:395–399. , , , .
- Clinical predictors of pneumonia among children with wheezing. Pediatrics. 2009;124:e29–e36. , , , , , .
- Reduce the rads: a quality assurance project on reducing unnecessary chest X‐rays in children with asthma. J Paediatr Child Health. 2005;41:107–111. , .
- American Academy of Pediatrics Subcommittee on Diagnosis and Management of Bronchiolitis. Diagnosis and management of bronchiolitis. Pediatrics. 2006;118:1774–1793.
- Evaluation of the utility of radiography in acute bronchiolitis. J Pediatr. 2007;150:429–433. , , , et al.
- Incidence and predisposing factors for severe disease in previously healthy term infants experiencing their first episode of bronchiolitis. Acta Paediatr. 2011;100:e17–e23. , , , et al.
- A cost effectiveness analysis of omitting radiography in diagnosis of acute bronchiolitis. Pediatr Pulmonol. 2009;44:122–127. , , , et al.
- Decreasing unnecessary utilization in acute bronchiolitis care: results from the value in inpatient pediatrics network. J Hosp Med. 2013;8:25–30. , , , et al.
- Efficacy of bronchodilator therapy in bronchiolitis. A meta‐analysis. Arch Pediatr Adolesc Med. 1996;150:1166–1172. , , , .
- Efficacy of beta2‐agonists in bronchiolitis: a reappraisal and meta‐analysis. Pediatrics. 1997;100:233–239. , .
- Bronchodilators for bronchiolitis. Cochrane Database Syst Rev. 2010;(12):CD001266. , .
- Epinephrine for bronchiolitis. Cochrane Database Syst Rev. 2011;(6):CD003123. , , , et al.
- Epinephrine and dexamethasone in children with bronchiolitis. N Engl J Med. 2009;360:2079–2089. , , , et al.
- A multicenter, randomized, double‐blind, controlled trial of nebulized epinephrine in infants with acute bronchiolitis. N Engl J Med. 2003;349:27–35. , , , et al.
- A randomized, controlled trial of the effectiveness of nebulized therapy with epinephrine compared with albuterol and saline in infants hospitalized for acute viral bronchiolitis. J Pediatr. 2002;141:818–824. , , , .
- Oral prednisolone for preschool children with acute virus‐induced wheezing. N Engl J Med. 2009;360:329–338. , , , et al.
- Glucocorticoids for acute viral bronchiolitis in infants and young children. Cochrane Database Syst Rev. 2010;(10):CD004878. , , , et al.
- Systemic corticosteroids in infant bronchiolitis: a meta‐analysis. Pediatrics. 2000;105:E44. , , , , .
- Controlled trial of oral prednisone in the emergency department treatment of children with acute asthma. Pediatrics. 1993;92:513–518. , , , .
- Methylprednisolone therapy for acute asthma in infants and toddlers: a controlled clinical trial. Pediatrics. 1990;86:350–356. , , .
- Effect of a single oral dose of prednisolone in acute childhood asthma. Lancet. 1987;1:879–882. , , , , .
- The clinical management of preterm infants with bronchiolitis. Hosp Pediatr. 2013;3:244–250. , , , , .
- Glucocorticoids and growth in asthmatic children. Pediatr Allergy Immunol. 1995;6:145–154. , .
- Adjunct corticosteroids in children hospitalized with community‐acquired pneumonia. Pediatrics. 2011;127:e255–e263. , , , , , .
- Pediatric gastroesophageal reflux disease and acid‐related conditions: trends in incidence of diagnosis and acid suppression therapy. J Med Econ. 2009;12:348–355. , , , , , .
- Healthcare costs of GERD and acid‐related conditions in pediatric patients, with comparison between histamine‐2 receptor antagonists and proton pump inhibitors. Curr Med Res Opin. 2009;25:2703–2709. , , , , , .
- Are we overprescribing antireflux medications for infants with regurgitation? Pediatrics. 2007;120:946–949. , , , .
- Proton pump inhibitor utilization patterns in infants. J Pediatr Gastroenterol Nutr. 2007;45:421–427. , , , , .
- Efficacy of proton‐pump inhibitors in children with gastroesophageal reflux disease: a systematic review. Pediatrics. 2011;127:925–935. , , , , , .
- Effectiveness and safety of proton pump inhibitors in infantile gastroesophageal reflux disease. Ann Pharmacother. 2010;44:572–576. .
- Are there risks associated with empric acid suppression treatment of infants and children suspected of having gastroesophageal reflux disease? Hosp Pediatr. 2013;3:16–23. .
- Bronchiolitis management preferences and the influence of pulse oximetry and respiratory rate on the decision to admit. Pediatrics. 2003;111:e45–e51. , , , .
- Impact of pulse oximetry and oxygen therapy on length of stay in bronchiolitis hospitalizations. Arch Pediatr Adolesc Med. 2004;158:527–530. , , , .
- Effect of oxygen supplementation on length of stay for infants hospitalized with acute viral bronchiolitis. Pediatrics. 2008;121:470–475. , .
- Oxygen therapy for bronchiolitis. Pediatrics. 2007;120:686–687; author reply 687–688. .
- Bronchiolitis‐associated hospitalizations among US children, 1980–1996. JAMA. 1999;282:1440–1446. , , , , , .
- Bronchiolitis: recent evidence on diagnosis and management. Pediatrics. 2010;125:342–349. , .
- Bronchiolitis‐associated mortality and estimates of respiratory syncytial virus‐associated deaths among US children, 1979–1997. J Infect Dis. 2001;183:16–22. , , , , .
- Observational study of two oxygen saturation targets for discharge in bronchiolitis. Arch Dis Child. 2012;97:361–363. , .
- Longitudinal assessment of hemoglobin oxygen saturation in preterm and term infants in the first six months of life. J Pediatr. 2011;159:377–383.e1. , , , et al.
- The impact of severe asthma on schoolchildren. J Asthma. 1999;36:409–417. , .
- Multi‐center, randomized trial of pulse oximetry monitoring strategies for children hospitalized for bronchiolitis. Abstract presented at: ID Week 2012; October 2012; San Diego, CA. , .
- The appropriateness method has acceptable reliability and validity for assessing overuse and underuse of surgical procedures. J Clin Epidemiol. 2012;65:1133–1143. , , , .
- Agency for Healthcare Research and Quality. HCUPnet. Kids inpatient database 2009. Available at: http://hcupnet.ahrq.gov. Accessed November 6, 2012.
- Too little? Too much? Primary care physicians' views on US health care: a brief report. Arch Intern Med. 2011;171:1582–1585. , , .
- How to implement change in clinical practice. Paediatr Respir Rev. 2003;4:340–346. .
Overuse in medicine is a significant and under‐recognized problem. Don Berwick estimated that waste accounts for at least 20% of healthcare expenditures in the United States, with overtreatment as one of the largest categories.[1] A commentary by Schroeder et al. challenged pediatricians to incorporate this knowledge into our own patient safety and quality movement.[2] Recently published data suggest that we are far from achieving the patient safety goals set forth in the Institute of Medicine's landmark To Err is Human[3] report, despite more than a decade of national, local, and regional efforts.[4] One way to reduce waste and improve patient safety is to eliminate practices of unproven benefit. Therapies or tests that may initially seem promising are often proven to be not only unhelpful but actually harmful. The recommendation of the US Preventive Services Task Force against routine screening for prostate specific antigen is an example of how a common test initially thought of as lifesaving actually increases harm.[5]
The American Board of Internal Medicine Foundation (ABIM‐F) recently announced the Choosing Wisely campaign. Through this campaign the Foundation encourages physicians, patients and other healthcare stakeholders to think and talk about medical tests and procedures that may be unnecessary.[6] The primary output of this challenge is the development of a list of 5 tests and or therapies that physicians and patients should question. The ABIM‐F approached different medical societies to develop these lists within their own specialties. The Society of Hospital Medicine (SHM) joined the Choosing Wisely campaign in April 2012, and agreed to develop a list of 5 therapies and tests for adult hospital medicine and pediatric hospital medicine. Here we present the contribution of the pediatric workgroup detailing the methodology and process for developing the list, as well as summarizing the evidence supporting each recommendation.
METHODS
In the spring of 2012, the pediatric committee of the SHM convened a workgroup of pediatric hospitalists to develop a top 5 list for the field. This workgroup was composed of experienced pediatric hospitalists representing diverse geographic locations of the United States and a mix of academic and nonacademic practice settings. The group, consisting of 4 women and 9 men, began by proposing candidate recommendations after discussion with colleagues at their different practice sites. The group was charged to maintain a focus on overuse practices that had a strong basis in evidence, were frequently encountered at their practice sites, and achieved significant consensus among their colleagues. Figure 1 shows the process map describing the method for the development of the pediatric recommendations. All workgroup participants were queried as to conflict of interest relevant to this work and none were identified.
Literature Review
After the generation of the initial top 20 list, 2 reviewers conducted independent literature searches in PubMed, MEDLINE, and the Cochrane Library on the proposed topics. The reviewers also conducted generic Internet searches. Key search terms included pediatric asthma, bronchiolitis, chest radiograph, systemic corticosteroids, gastroesophageal reflux disease (GERD), infant, child, acid suppression therapy, continuous pulse oximetry, pneumonia, gastroenteritis, viral testing, blood culture, and soft tissue infections. To ensure that the reviewers included all studies relevant to the searches, they utilized broad terms. The search included all literature published through 2012, and nonEnglish language publications were included in the search. Studies selected and included in the review were based upon common criteria including whether the article discussed an evaluation of efficacy and/or utility of treatment, included a pediatric population in the guidelines or study, reviewed the harm associated with the administration of a particular test or treatment, and explored the cost associated with the test or treatment.
The Delphi Panel
Members of the workgroup formed a Delphi panel except for 1 member (R.Q.) who served as the nonvoting moderator. The members of the Delphi panel considered the results of the literature search for each recommendation along with the collated feedback from hospitalist listserves as described in Figure 1. Each panel member received a voting instrument with the candidate tests and treatments for the first round of Delphi voting. The panel utilized a modified Delphi method or the RAND Corporation (RAND)/University of California at Los Angeles (UCLA) appropriateness method as described in previous publications of quality indicator development in pediatrics.[7] Each panelist scored the candidate tests and treatments and forwarded the scores to the moderator. Subsequently, all the members of the Delphi panel met through a conference call to carry out the second round of voting. The deidentified collated results of the first round of Delphi voting were made available and discussed during the call. The moderator collated the final results, and the final 5 recommendations were those that had the highest score after the second round of Delphi voting.
Volume and Costs
During deliberations, the committee took into account the prevalence and cost rankings of our most common pediatric inpatient diagnoses. This was done using the Agency for Healthcare Research and Quality's (AHRQ) Healthcare Utilization Project (HCUP), specifically, the Kids' Inpatient Database (KID). HCUP includes the largest collection of longitudinal hospital care data in the United States, encompassing all‐payer discharge‐level information. We excluded normal newborn hospitalizations, and looked at the top 10 acute inpatient diagnoses in terms of both volume and aggregate costs.
RESULTS
The initial list of 20 candidate tests and treatments as well as the refined list of 11 recommendations can be found as electronic supplements to this publication (see Supporting Table 1 and Supporting Table 2 in the online version of this article). The format and language of the list of 11 recommendations were chosen to mesh with that typically used in the ABIM‐F Choosing Wisely campaign. During the Delphi panel, there was strong group consensus about combining items 1 and 2 (chest radiographs in asthma and bronchiolitis) into a single recommendation.
Do not order chest radiographs in children with asthma or bronchiolitis. |
Do not use bronchodilators in children with bronchiolitis. |
Do not use systemic corticosteroids in children under 2 years of age with a lower respiratory tract infection. |
Do not treat gastroesophageal reflux in infants routinely with acid suppression therapy. |
Do not use continuous pulse oximetry routinely in children with acute respiratory illness unless they are on supplemental oxygen. |
The top 5 recommendations based on the result of the second round of Delphi scoring are shown in Table 1 and described below along with a detailed evidence summary.
Do not order chest radiographs in children with asthma or bronchiolitis.
The National Heart and Lung Institute's guidelines for the management of asthma, published in 1987, recommend against routinely obtaining chest radiographs in patients with asthma or asthma exacerbations.[8] Supporting this recommendation are several studies that show a low overall yield when obtaining chest radiographs for wheezing patients.[9, 10, 11] Most relevant, studies that evaluated the clinical utility of radiographs in patients with asthma have demonstrated that they influence clinical management in less than 2% of cases.[12] A quality improvement project aimed at decreasing the rate of chest radiographs obtained in patients with asthma demonstrated that close to 60% of patients admitted to the hospital had chest radiographs performed, and that significant overall reductions can be achieved (45.3%28.9%, P=0.0005) without impacting clinical outcomes negatively.[13]
Similarly, the Subcommittee on Diagnosis and Management of Bronchiolitis of the American Academy of Pediatrics recommends against routinely obtaining radiographs during the evaluation for bronchiolitis.[14] Studies assessing the utility of chest x‐rays in these children demonstrate an even lower incidence of abnormalities (0.75%) and indicate that, despite this low incidence, physicians are more likely to treat with antibiotics when radiographs are obtained.[15] There is also evidence that chest radiographs in patients with bronchiolitis are not useful in predicting severity of illness.[16] Furthermore, cost‐effective analyses have demonstrated that omitting chest radiographs in bronchiolitis is actually cost‐effective, without compromising diagnostic accuracy.[17] In a recently published national benchmarking inpatient collaborative, Ralston et al. demonstrated that the majority of patients admitted to the hospital with bronchiolitis have chest radiographs performed at a rate of 64% (interquartile range [IQR], 54%81%).[18]
In both bronchiolitis and asthma, the elimination of unnecessary radiographs has the potential to decrease costs, reduce radiation exposure, and minimize the overuse of antibiotics that often occurs secondary to false positive results.
Do not use bronchodilators in children with bronchiolitis.
Ralston showed that 70% (IQR, 59%83%) of admitted bronchiolitis patients received bronchodilators with an average of 7.9 doses per patient (IQR, 4.69.8). National guidelines for bronchiolitis suggest a very limited role of bronchodilators in patients with bronchiolitis.[14] The first meta‐analyses of studies related to the question of ‐agonist efficacy in bronchiolitis were published in the late 1990s, revealing minimal or no treatment effects.[19, 20] Since then, further research has solidified these findings, and fairly definitive statements can be made based on a recent comprehensive meta‐analysis.[21] The pooled data do not show any effect on hospitalization rates, hospital length of stay, or other inpatient outcomes in bronchiolitis. They do show a small change in clinical scores documented in the outpatient setting, though these scores have not correlated with any detectable difference in outcomes. Routine use of ‐agonists in the inpatient setting has no proven benefit, and given the large amount of consistent data, there is no compelling reason for further study of this therapy in the inpatient setting.
Epinephrine, a combined ‐ and ‐agonist, has been extensively evaluated in bronchiolitis as well. Like albuterol, epinephrine has been reported to have no effect on hospital length of stay in bronchiolitis.[22] The issue of admission rates after epinephrine is complicated by 1 very large study that combined epinephrine with dexamethasone and reported a decreased admission rate, though only at 7 days after therapy; however, this effect was nullified after adjustment for multiple comparisons.[23] When the end point is improvement of respiratory scores, epinephrine may perform better than albuterol in studies where they are directly compared; however, there is no evidence that repeated usage of epinephrine has any impact on any clinical outcome for inpatients.[24, 25]
Do not use systemic corticosteroids in children under 2 years of age with a lower respiratory tract infection
In their summary of evidence, the Subcommittee on Diagnosis and Management of Bronchiolitis of the American Academy of Pediatrics recommends against routinely using systemic corticosteroids for infants with bronchiolitis.[14] The previously reference bronchiolitis benchmarking study demonstrated that admitted patients received steroids at a rate of 21% (IQR, 14%26%). The poor efficacy of corticosteroids in children with bronchiolitis under 2 years of age is well demonstrated in the literature. A large, blinded, randomized, controlled study compared systemic oral corticosteroids to placebo in hospitalized children 10 months to 6 years of age with viral wheezing.[26] This study showed no benefit of corticosteroids over placebo in length of stay or parental report of symptoms 1 week later. In the study, a subanalysis of children with eczema and family history of asthma also demonstrated no benefit of systemic corticosteroids. Large systematic reviews further argue that there is no effect of corticosteroids on the likelihood of admission or length of stay in infants with bronchiolitis.[27, 28] One 4‐armed prospective study of children 6 weeks to 12 months of age found no efficacy of dexamethasone over placebo.[23] There was modest benefit of dexamethasone in conjunction with racemic epinephrine; however, this benefit disappeared after adjustment for multiple comparisons. Three smaller studies showing benefit of systemic corticosteroids, however, were highly problematic. They have included older children, were retrospective, or demonstrated inconsistent results.[29, 30] A smaller study showed benefit for children over 2 years of age, but none for children under 2 years of age.[31] Premature infants are at increased risk of asthma, which typically responds well to corticosteroids as these children get older. However, a retrospective study of premature infants under 2 years of age with bronchiolitis demonstrated no association between corticosteroid use and length of stay, even in the subset of premature infants responding to albuterol.[32]
Systemic corticosteroid use in children is not harmless. Children under 2 years of age are especially vulnerable to the decreased growth velocity seen as a side effect of systemic corticosteroids.[33] Corticosteroids may also negatively impact the course of infectious illness. For instance, in children hospitalized with pneumonia but not receiving ‐agonists (ie, patients who are unlikely to have asthma), length of stay is prolonged and readmission is higher in those who receive corticosteroids.[34]
Do not treat gastroesophageal reflux in infants routinely with acid suppression therapy.
From 2000 to 2005, the incidence of infants diagnosed with gastroeshopaheal reflux (GER) tripled (3.4%12.3%), and the use of proton pump inhibitors (PPIs) doubled (31.5%62.6%).[35] Patients diagnosed with GER and treated with antireflux medication incurred 1.8 times higher healthcare costs in 1 study compared to healthy controls.[36] Though common, the use of acid suppressive medications in infants lacks evidence for efficacy in the majority of the clinical scenarios in which they are prescribed.[37, 38] PPIs have failed to outperform placebo for typical infant reflux, which is generally developmental and not pathologic.[39, 40] Furthermore, prompted by findings in adults, multiple pediatric investigators have now catalogued the potential risks associated with acid blockade in children in multiple clinical settings. Specifically, increased risk of pneumonia has been documented in inpatients and outpatients, and increased risk of necrotizing enterocolitis and other serious infections have been documented in intensive care unit settings.[41] In the absence of data supporting efficacy and given the emerging data on risk, empiric acid suppression in infants with reflux is wasteful and potentially harmful.
Do not use continuous pulse oximetry routinely in children with acute respiratory illness unless they are on supplemental oxygen.
Pulse oximetry use has become widespread in the management of infants with bronchiolitis and likely accounts for the dramatic increase in bronchiolitis hospitalization rates in recent years.[14, 42, 43, 44, 45, 46, 47] Despite this increase in hospitalization rate, there was no change in mortality from bronchiolitis between 1979 and 1997.[48] The continuous monitoring of oxygen saturations in hospitalized infants with bronchiolitis may lead to overdiagnosis of hypoxemia and subsequent oxygen use that is of no apparent benefit to the child. Schroeder et al. demonstrated that 26% of a sample of infants hospitalized with bronchiolitis had a prolonged length of stay because of a perceived need for oxygen based on pulse oximetry readings.[43] Unger and Cunningham showed that the need for oxygen was the final determinant of length of stay in 58% of cases, and Cunningham and Murray suggested that using an oxygen saturation cutoff of 94% instead of 90% might increase the length of stay by 22 hours.[44, 49]
It has been previously shown that hypoxia is normative in infants. Healthy infants experience multiple episodes of SpO2 90% while sleeping.[50] This finding strengthens the notion that detection of low saturations in infants convalescing from bronchiolitis may simply reflect overdiagnosis. Among children with chronic severe asthma, who presumably have experienced episodes of hypoxia throughout childhood, there is no difference in school performance compared to healthy controls.[51]
The practice parameter on bronchiolitis from the American Academy of Pediatrics states: as the child's clinical course improves, continuous measurement of SpO2 is not routinely needed, which is a recommendation based on expert consensus.[14] There is at least one ongoing randomized trial comparing the use of continuous versus intermittent pulse oximetry in hospitalized infants with bronchiolitis who are weaned off oxygen (
DISCUSSION
Berwick and Hackbarth define overtreatment as: waste that comes from subjecting patients to care that, according to sound science and the patients' own preferences, cannot possibly help themcare rooted in outmoded habits, supply‐driven behaviors, and ignoring science.[1] With this project, we tried to capture common clinical sources of waste in the inpatient pediatric setting. This is an inherently difficult project because of the absence of solid evidence to inform every decision point in medicine. Although there is always room for improvement in our evidence base, our group intentionally gravitated to areas where the evidence was robust.
The primary strength of this work is the use of the RAND/UCLA appropriateness method or modified Delphi method. Several publications have validated this methodology as a sound strategy to assess quality indicators and issues related to overuse.[7, 53] To our knowledge, we are the first group to report the use of this methodology to develop a list such as the list reported here.
There were some challenges inherent to this project that can be considered limitations of the work. One perceived limitation of our list is the heavy concentration on respiratory diagnoses, especially bronchiolitis and asthma. We do not feel this is a genuine limitation, as the recommendations were partly driven by volume and costs as assessed by the KID database. Among the top 10 acute inpatient diagnoses in pediatrics, respiratory diagnoses are the most common, including bronchiolitis, pneumonia, and asthma. Pneumonia or bronchiolitis has been the most common medical diagnosis in inpatient pediatrics for the past decade, and both are always in the top 10 for costs as well.[54] Thus, the impact of decreasing overuse for these conditions will be highly significant from a simple volume standpoint.
The primary limitation of this work is the lack of implementation strategies. Although the Choosing Wisely campaign has plans for dissemination of the lists, compliance with the recommendations may be suboptimal. Although the development process followed an accepted methodology, shortcomings include the lack of wide, local, multidisciplinary (including parents or caretakers) consultation. Other barriers to compliance with these recommendations exist. Despite evidence that bronchiolitis is a benign self‐limited disease that does not respond to bronchodilators and steroids, the drive to identify and correct all abnormalities, such as wheezing or low oxygen saturation in a nontoxic infant with bronchiolitis, seems to trump the obligation to do no harm in daily practice.[55] This behavior may result from pressure by patients, families, nurses, or peers and is deeply embedded in our medical culture, where action is preferred to inaction without full knowledge or consideration of risks. Doctors and nurses have become attached to the pulse oximeter, believing somehow that the number displayed is less subjective and holds more predictive value than careful evaluation of the patient's respiratory status. Other pressures, such as direct to consumer marketing have made acid reflux a household term that is easily treated with over‐the‐counter medications. Considerations of the care continuum will also serve as barriers. Chest x‐rays, for example, are frequently obtained prior to admission to the hospital before the hospitalist is involved.
To overcome these limitations, the study of individual and organizational adoption of innovation might be relevant. Though it is complex and often more descriptive than proscriptive, a few salient features have emerged. Champions and opinion leaders make a difference, local culture is dominant, social networking is important, simple innovations that can be trialed on a small scale are adaptable by the user and have observable benefits, are more likely to be adopted.[56] Fortunately, the top 5 list meets many of these criteria, but also faces the daunting challenges of inertia, lack of financial incentive, inability to break with old habits, and fear of lawsuits and perceived patient/parent dissatisfaction. Ongoing evaluation, feedback, and audit will be necessary to detect and sustain change.
CONCLUSION
We have identified 5 tests or therapies overused in inpatient general pediatrics. One goal of the Choosing Wisely campaign is to begin to change social norms related to physician behavior. We hope by asking clinicians to consider doing less for common conditions in inpatient pediatrics, that they will increasingly consider the known and unanticipated risks of any medical interventions they choose to use. Finally, we would like to encourage all pediatricians to embrace the idea of good stewardship and join us in prioritizing and addressing waste and overuse as important patient safety issues as well as threats to the sustainability of our healthcare system.
Acknowledgments
The authors thank Drs. Doug Carlson, James O'Callaghan, and Karen Smith from the Society of Hospital Medicine's Pediatric and Quality and Safety Committees for their support of this effort.
Disclosure: Nothing to report.
Overuse in medicine is a significant and under‐recognized problem. Don Berwick estimated that waste accounts for at least 20% of healthcare expenditures in the United States, with overtreatment as one of the largest categories.[1] A commentary by Schroeder et al. challenged pediatricians to incorporate this knowledge into our own patient safety and quality movement.[2] Recently published data suggest that we are far from achieving the patient safety goals set forth in the Institute of Medicine's landmark To Err is Human[3] report, despite more than a decade of national, local, and regional efforts.[4] One way to reduce waste and improve patient safety is to eliminate practices of unproven benefit. Therapies or tests that may initially seem promising are often proven to be not only unhelpful but actually harmful. The recommendation of the US Preventive Services Task Force against routine screening for prostate specific antigen is an example of how a common test initially thought of as lifesaving actually increases harm.[5]
The American Board of Internal Medicine Foundation (ABIM‐F) recently announced the Choosing Wisely campaign. Through this campaign the Foundation encourages physicians, patients and other healthcare stakeholders to think and talk about medical tests and procedures that may be unnecessary.[6] The primary output of this challenge is the development of a list of 5 tests and or therapies that physicians and patients should question. The ABIM‐F approached different medical societies to develop these lists within their own specialties. The Society of Hospital Medicine (SHM) joined the Choosing Wisely campaign in April 2012, and agreed to develop a list of 5 therapies and tests for adult hospital medicine and pediatric hospital medicine. Here we present the contribution of the pediatric workgroup detailing the methodology and process for developing the list, as well as summarizing the evidence supporting each recommendation.
METHODS
In the spring of 2012, the pediatric committee of the SHM convened a workgroup of pediatric hospitalists to develop a top 5 list for the field. This workgroup was composed of experienced pediatric hospitalists representing diverse geographic locations of the United States and a mix of academic and nonacademic practice settings. The group, consisting of 4 women and 9 men, began by proposing candidate recommendations after discussion with colleagues at their different practice sites. The group was charged to maintain a focus on overuse practices that had a strong basis in evidence, were frequently encountered at their practice sites, and achieved significant consensus among their colleagues. Figure 1 shows the process map describing the method for the development of the pediatric recommendations. All workgroup participants were queried as to conflict of interest relevant to this work and none were identified.
Literature Review
After the generation of the initial top 20 list, 2 reviewers conducted independent literature searches in PubMed, MEDLINE, and the Cochrane Library on the proposed topics. The reviewers also conducted generic Internet searches. Key search terms included pediatric asthma, bronchiolitis, chest radiograph, systemic corticosteroids, gastroesophageal reflux disease (GERD), infant, child, acid suppression therapy, continuous pulse oximetry, pneumonia, gastroenteritis, viral testing, blood culture, and soft tissue infections. To ensure that the reviewers included all studies relevant to the searches, they utilized broad terms. The search included all literature published through 2012, and nonEnglish language publications were included in the search. Studies selected and included in the review were based upon common criteria including whether the article discussed an evaluation of efficacy and/or utility of treatment, included a pediatric population in the guidelines or study, reviewed the harm associated with the administration of a particular test or treatment, and explored the cost associated with the test or treatment.
The Delphi Panel
Members of the workgroup formed a Delphi panel except for 1 member (R.Q.) who served as the nonvoting moderator. The members of the Delphi panel considered the results of the literature search for each recommendation along with the collated feedback from hospitalist listserves as described in Figure 1. Each panel member received a voting instrument with the candidate tests and treatments for the first round of Delphi voting. The panel utilized a modified Delphi method or the RAND Corporation (RAND)/University of California at Los Angeles (UCLA) appropriateness method as described in previous publications of quality indicator development in pediatrics.[7] Each panelist scored the candidate tests and treatments and forwarded the scores to the moderator. Subsequently, all the members of the Delphi panel met through a conference call to carry out the second round of voting. The deidentified collated results of the first round of Delphi voting were made available and discussed during the call. The moderator collated the final results, and the final 5 recommendations were those that had the highest score after the second round of Delphi voting.
Volume and Costs
During deliberations, the committee took into account the prevalence and cost rankings of our most common pediatric inpatient diagnoses. This was done using the Agency for Healthcare Research and Quality's (AHRQ) Healthcare Utilization Project (HCUP), specifically, the Kids' Inpatient Database (KID). HCUP includes the largest collection of longitudinal hospital care data in the United States, encompassing all‐payer discharge‐level information. We excluded normal newborn hospitalizations, and looked at the top 10 acute inpatient diagnoses in terms of both volume and aggregate costs.
RESULTS
The initial list of 20 candidate tests and treatments as well as the refined list of 11 recommendations can be found as electronic supplements to this publication (see Supporting Table 1 and Supporting Table 2 in the online version of this article). The format and language of the list of 11 recommendations were chosen to mesh with that typically used in the ABIM‐F Choosing Wisely campaign. During the Delphi panel, there was strong group consensus about combining items 1 and 2 (chest radiographs in asthma and bronchiolitis) into a single recommendation.
Do not order chest radiographs in children with asthma or bronchiolitis. |
Do not use bronchodilators in children with bronchiolitis. |
Do not use systemic corticosteroids in children under 2 years of age with a lower respiratory tract infection. |
Do not treat gastroesophageal reflux in infants routinely with acid suppression therapy. |
Do not use continuous pulse oximetry routinely in children with acute respiratory illness unless they are on supplemental oxygen. |
The top 5 recommendations based on the result of the second round of Delphi scoring are shown in Table 1 and described below along with a detailed evidence summary.
Do not order chest radiographs in children with asthma or bronchiolitis.
The National Heart and Lung Institute's guidelines for the management of asthma, published in 1987, recommend against routinely obtaining chest radiographs in patients with asthma or asthma exacerbations.[8] Supporting this recommendation are several studies that show a low overall yield when obtaining chest radiographs for wheezing patients.[9, 10, 11] Most relevant, studies that evaluated the clinical utility of radiographs in patients with asthma have demonstrated that they influence clinical management in less than 2% of cases.[12] A quality improvement project aimed at decreasing the rate of chest radiographs obtained in patients with asthma demonstrated that close to 60% of patients admitted to the hospital had chest radiographs performed, and that significant overall reductions can be achieved (45.3%28.9%, P=0.0005) without impacting clinical outcomes negatively.[13]
Similarly, the Subcommittee on Diagnosis and Management of Bronchiolitis of the American Academy of Pediatrics recommends against routinely obtaining radiographs during the evaluation for bronchiolitis.[14] Studies assessing the utility of chest x‐rays in these children demonstrate an even lower incidence of abnormalities (0.75%) and indicate that, despite this low incidence, physicians are more likely to treat with antibiotics when radiographs are obtained.[15] There is also evidence that chest radiographs in patients with bronchiolitis are not useful in predicting severity of illness.[16] Furthermore, cost‐effective analyses have demonstrated that omitting chest radiographs in bronchiolitis is actually cost‐effective, without compromising diagnostic accuracy.[17] In a recently published national benchmarking inpatient collaborative, Ralston et al. demonstrated that the majority of patients admitted to the hospital with bronchiolitis have chest radiographs performed at a rate of 64% (interquartile range [IQR], 54%81%).[18]
In both bronchiolitis and asthma, the elimination of unnecessary radiographs has the potential to decrease costs, reduce radiation exposure, and minimize the overuse of antibiotics that often occurs secondary to false positive results.
Do not use bronchodilators in children with bronchiolitis.
Ralston showed that 70% (IQR, 59%83%) of admitted bronchiolitis patients received bronchodilators with an average of 7.9 doses per patient (IQR, 4.69.8). National guidelines for bronchiolitis suggest a very limited role of bronchodilators in patients with bronchiolitis.[14] The first meta‐analyses of studies related to the question of ‐agonist efficacy in bronchiolitis were published in the late 1990s, revealing minimal or no treatment effects.[19, 20] Since then, further research has solidified these findings, and fairly definitive statements can be made based on a recent comprehensive meta‐analysis.[21] The pooled data do not show any effect on hospitalization rates, hospital length of stay, or other inpatient outcomes in bronchiolitis. They do show a small change in clinical scores documented in the outpatient setting, though these scores have not correlated with any detectable difference in outcomes. Routine use of ‐agonists in the inpatient setting has no proven benefit, and given the large amount of consistent data, there is no compelling reason for further study of this therapy in the inpatient setting.
Epinephrine, a combined ‐ and ‐agonist, has been extensively evaluated in bronchiolitis as well. Like albuterol, epinephrine has been reported to have no effect on hospital length of stay in bronchiolitis.[22] The issue of admission rates after epinephrine is complicated by 1 very large study that combined epinephrine with dexamethasone and reported a decreased admission rate, though only at 7 days after therapy; however, this effect was nullified after adjustment for multiple comparisons.[23] When the end point is improvement of respiratory scores, epinephrine may perform better than albuterol in studies where they are directly compared; however, there is no evidence that repeated usage of epinephrine has any impact on any clinical outcome for inpatients.[24, 25]
Do not use systemic corticosteroids in children under 2 years of age with a lower respiratory tract infection
In their summary of evidence, the Subcommittee on Diagnosis and Management of Bronchiolitis of the American Academy of Pediatrics recommends against routinely using systemic corticosteroids for infants with bronchiolitis.[14] The previously reference bronchiolitis benchmarking study demonstrated that admitted patients received steroids at a rate of 21% (IQR, 14%26%). The poor efficacy of corticosteroids in children with bronchiolitis under 2 years of age is well demonstrated in the literature. A large, blinded, randomized, controlled study compared systemic oral corticosteroids to placebo in hospitalized children 10 months to 6 years of age with viral wheezing.[26] This study showed no benefit of corticosteroids over placebo in length of stay or parental report of symptoms 1 week later. In the study, a subanalysis of children with eczema and family history of asthma also demonstrated no benefit of systemic corticosteroids. Large systematic reviews further argue that there is no effect of corticosteroids on the likelihood of admission or length of stay in infants with bronchiolitis.[27, 28] One 4‐armed prospective study of children 6 weeks to 12 months of age found no efficacy of dexamethasone over placebo.[23] There was modest benefit of dexamethasone in conjunction with racemic epinephrine; however, this benefit disappeared after adjustment for multiple comparisons. Three smaller studies showing benefit of systemic corticosteroids, however, were highly problematic. They have included older children, were retrospective, or demonstrated inconsistent results.[29, 30] A smaller study showed benefit for children over 2 years of age, but none for children under 2 years of age.[31] Premature infants are at increased risk of asthma, which typically responds well to corticosteroids as these children get older. However, a retrospective study of premature infants under 2 years of age with bronchiolitis demonstrated no association between corticosteroid use and length of stay, even in the subset of premature infants responding to albuterol.[32]
Systemic corticosteroid use in children is not harmless. Children under 2 years of age are especially vulnerable to the decreased growth velocity seen as a side effect of systemic corticosteroids.[33] Corticosteroids may also negatively impact the course of infectious illness. For instance, in children hospitalized with pneumonia but not receiving ‐agonists (ie, patients who are unlikely to have asthma), length of stay is prolonged and readmission is higher in those who receive corticosteroids.[34]
Do not treat gastroesophageal reflux in infants routinely with acid suppression therapy.
From 2000 to 2005, the incidence of infants diagnosed with gastroeshopaheal reflux (GER) tripled (3.4%12.3%), and the use of proton pump inhibitors (PPIs) doubled (31.5%62.6%).[35] Patients diagnosed with GER and treated with antireflux medication incurred 1.8 times higher healthcare costs in 1 study compared to healthy controls.[36] Though common, the use of acid suppressive medications in infants lacks evidence for efficacy in the majority of the clinical scenarios in which they are prescribed.[37, 38] PPIs have failed to outperform placebo for typical infant reflux, which is generally developmental and not pathologic.[39, 40] Furthermore, prompted by findings in adults, multiple pediatric investigators have now catalogued the potential risks associated with acid blockade in children in multiple clinical settings. Specifically, increased risk of pneumonia has been documented in inpatients and outpatients, and increased risk of necrotizing enterocolitis and other serious infections have been documented in intensive care unit settings.[41] In the absence of data supporting efficacy and given the emerging data on risk, empiric acid suppression in infants with reflux is wasteful and potentially harmful.
Do not use continuous pulse oximetry routinely in children with acute respiratory illness unless they are on supplemental oxygen.
Pulse oximetry use has become widespread in the management of infants with bronchiolitis and likely accounts for the dramatic increase in bronchiolitis hospitalization rates in recent years.[14, 42, 43, 44, 45, 46, 47] Despite this increase in hospitalization rate, there was no change in mortality from bronchiolitis between 1979 and 1997.[48] The continuous monitoring of oxygen saturations in hospitalized infants with bronchiolitis may lead to overdiagnosis of hypoxemia and subsequent oxygen use that is of no apparent benefit to the child. Schroeder et al. demonstrated that 26% of a sample of infants hospitalized with bronchiolitis had a prolonged length of stay because of a perceived need for oxygen based on pulse oximetry readings.[43] Unger and Cunningham showed that the need for oxygen was the final determinant of length of stay in 58% of cases, and Cunningham and Murray suggested that using an oxygen saturation cutoff of 94% instead of 90% might increase the length of stay by 22 hours.[44, 49]
It has been previously shown that hypoxia is normative in infants. Healthy infants experience multiple episodes of SpO2 90% while sleeping.[50] This finding strengthens the notion that detection of low saturations in infants convalescing from bronchiolitis may simply reflect overdiagnosis. Among children with chronic severe asthma, who presumably have experienced episodes of hypoxia throughout childhood, there is no difference in school performance compared to healthy controls.[51]
The practice parameter on bronchiolitis from the American Academy of Pediatrics states: as the child's clinical course improves, continuous measurement of SpO2 is not routinely needed, which is a recommendation based on expert consensus.[14] There is at least one ongoing randomized trial comparing the use of continuous versus intermittent pulse oximetry in hospitalized infants with bronchiolitis who are weaned off oxygen (
DISCUSSION
Berwick and Hackbarth define overtreatment as: waste that comes from subjecting patients to care that, according to sound science and the patients' own preferences, cannot possibly help themcare rooted in outmoded habits, supply‐driven behaviors, and ignoring science.[1] With this project, we tried to capture common clinical sources of waste in the inpatient pediatric setting. This is an inherently difficult project because of the absence of solid evidence to inform every decision point in medicine. Although there is always room for improvement in our evidence base, our group intentionally gravitated to areas where the evidence was robust.
The primary strength of this work is the use of the RAND/UCLA appropriateness method or modified Delphi method. Several publications have validated this methodology as a sound strategy to assess quality indicators and issues related to overuse.[7, 53] To our knowledge, we are the first group to report the use of this methodology to develop a list such as the list reported here.
There were some challenges inherent to this project that can be considered limitations of the work. One perceived limitation of our list is the heavy concentration on respiratory diagnoses, especially bronchiolitis and asthma. We do not feel this is a genuine limitation, as the recommendations were partly driven by volume and costs as assessed by the KID database. Among the top 10 acute inpatient diagnoses in pediatrics, respiratory diagnoses are the most common, including bronchiolitis, pneumonia, and asthma. Pneumonia or bronchiolitis has been the most common medical diagnosis in inpatient pediatrics for the past decade, and both are always in the top 10 for costs as well.[54] Thus, the impact of decreasing overuse for these conditions will be highly significant from a simple volume standpoint.
The primary limitation of this work is the lack of implementation strategies. Although the Choosing Wisely campaign has plans for dissemination of the lists, compliance with the recommendations may be suboptimal. Although the development process followed an accepted methodology, shortcomings include the lack of wide, local, multidisciplinary (including parents or caretakers) consultation. Other barriers to compliance with these recommendations exist. Despite evidence that bronchiolitis is a benign self‐limited disease that does not respond to bronchodilators and steroids, the drive to identify and correct all abnormalities, such as wheezing or low oxygen saturation in a nontoxic infant with bronchiolitis, seems to trump the obligation to do no harm in daily practice.[55] This behavior may result from pressure by patients, families, nurses, or peers and is deeply embedded in our medical culture, where action is preferred to inaction without full knowledge or consideration of risks. Doctors and nurses have become attached to the pulse oximeter, believing somehow that the number displayed is less subjective and holds more predictive value than careful evaluation of the patient's respiratory status. Other pressures, such as direct to consumer marketing have made acid reflux a household term that is easily treated with over‐the‐counter medications. Considerations of the care continuum will also serve as barriers. Chest x‐rays, for example, are frequently obtained prior to admission to the hospital before the hospitalist is involved.
To overcome these limitations, the study of individual and organizational adoption of innovation might be relevant. Though it is complex and often more descriptive than proscriptive, a few salient features have emerged. Champions and opinion leaders make a difference, local culture is dominant, social networking is important, simple innovations that can be trialed on a small scale are adaptable by the user and have observable benefits, are more likely to be adopted.[56] Fortunately, the top 5 list meets many of these criteria, but also faces the daunting challenges of inertia, lack of financial incentive, inability to break with old habits, and fear of lawsuits and perceived patient/parent dissatisfaction. Ongoing evaluation, feedback, and audit will be necessary to detect and sustain change.
CONCLUSION
We have identified 5 tests or therapies overused in inpatient general pediatrics. One goal of the Choosing Wisely campaign is to begin to change social norms related to physician behavior. We hope by asking clinicians to consider doing less for common conditions in inpatient pediatrics, that they will increasingly consider the known and unanticipated risks of any medical interventions they choose to use. Finally, we would like to encourage all pediatricians to embrace the idea of good stewardship and join us in prioritizing and addressing waste and overuse as important patient safety issues as well as threats to the sustainability of our healthcare system.
Acknowledgments
The authors thank Drs. Doug Carlson, James O'Callaghan, and Karen Smith from the Society of Hospital Medicine's Pediatric and Quality and Safety Committees for their support of this effort.
Disclosure: Nothing to report.
- Eliminating waste in US health care. JAMA. 2012;307:1513–1516. , .
- Safely doing less: a missing component of the patient safety dialogue. Pediatrics. 2011;128:e1596–e1597. , , .
- To Err Is Human: Building a Safer Health System. Washington, DC: National Academy Press; 2000. , , .
- Temporal trends in rates of patient harm resulting from medical care. N Engl J Med. 2010;363:2124–2134. , , , , , .
- Screening for prostate cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2012;157:120–134. .
- Choosing wisely: helping physicians and patients make smart decisions about their care. JAMA. 2012;307:1801–1802. , .
- The quality of ambulatory care delivered to children in the United States. N Engl J Med. 2007;357:1515–1523. , , , et al.
- National Asthma Education and Prevention Program. Expert panel report 3 (EPR‐3): guidelines for the diagnosis and management of asthma—summary report 2007. J Allergy Clin Immunol. 2007;120:S94–S138.
- The chest x‐ray and childhood acute asthma. Aust Clin Rev. 1993;13:153–156. , .
- Clinical factors associated with focal infiltrates in wheezing infants and toddlers. Clin Pediatr (Phila). 2000;39:387–393. , , , .
- Chest radiographs in the pediatric emergency department for children < or = 18 months of age with wheezing. Clin Pediatr (Phila). 1999;38:395–399. , , , .
- Clinical predictors of pneumonia among children with wheezing. Pediatrics. 2009;124:e29–e36. , , , , , .
- Reduce the rads: a quality assurance project on reducing unnecessary chest X‐rays in children with asthma. J Paediatr Child Health. 2005;41:107–111. , .
- American Academy of Pediatrics Subcommittee on Diagnosis and Management of Bronchiolitis. Diagnosis and management of bronchiolitis. Pediatrics. 2006;118:1774–1793.
- Evaluation of the utility of radiography in acute bronchiolitis. J Pediatr. 2007;150:429–433. , , , et al.
- Incidence and predisposing factors for severe disease in previously healthy term infants experiencing their first episode of bronchiolitis. Acta Paediatr. 2011;100:e17–e23. , , , et al.
- A cost effectiveness analysis of omitting radiography in diagnosis of acute bronchiolitis. Pediatr Pulmonol. 2009;44:122–127. , , , et al.
- Decreasing unnecessary utilization in acute bronchiolitis care: results from the value in inpatient pediatrics network. J Hosp Med. 2013;8:25–30. , , , et al.
- Efficacy of bronchodilator therapy in bronchiolitis. A meta‐analysis. Arch Pediatr Adolesc Med. 1996;150:1166–1172. , , , .
- Efficacy of beta2‐agonists in bronchiolitis: a reappraisal and meta‐analysis. Pediatrics. 1997;100:233–239. , .
- Bronchodilators for bronchiolitis. Cochrane Database Syst Rev. 2010;(12):CD001266. , .
- Epinephrine for bronchiolitis. Cochrane Database Syst Rev. 2011;(6):CD003123. , , , et al.
- Epinephrine and dexamethasone in children with bronchiolitis. N Engl J Med. 2009;360:2079–2089. , , , et al.
- A multicenter, randomized, double‐blind, controlled trial of nebulized epinephrine in infants with acute bronchiolitis. N Engl J Med. 2003;349:27–35. , , , et al.
- A randomized, controlled trial of the effectiveness of nebulized therapy with epinephrine compared with albuterol and saline in infants hospitalized for acute viral bronchiolitis. J Pediatr. 2002;141:818–824. , , , .
- Oral prednisolone for preschool children with acute virus‐induced wheezing. N Engl J Med. 2009;360:329–338. , , , et al.
- Glucocorticoids for acute viral bronchiolitis in infants and young children. Cochrane Database Syst Rev. 2010;(10):CD004878. , , , et al.
- Systemic corticosteroids in infant bronchiolitis: a meta‐analysis. Pediatrics. 2000;105:E44. , , , , .
- Controlled trial of oral prednisone in the emergency department treatment of children with acute asthma. Pediatrics. 1993;92:513–518. , , , .
- Methylprednisolone therapy for acute asthma in infants and toddlers: a controlled clinical trial. Pediatrics. 1990;86:350–356. , , .
- Effect of a single oral dose of prednisolone in acute childhood asthma. Lancet. 1987;1:879–882. , , , , .
- The clinical management of preterm infants with bronchiolitis. Hosp Pediatr. 2013;3:244–250. , , , , .
- Glucocorticoids and growth in asthmatic children. Pediatr Allergy Immunol. 1995;6:145–154. , .
- Adjunct corticosteroids in children hospitalized with community‐acquired pneumonia. Pediatrics. 2011;127:e255–e263. , , , , , .
- Pediatric gastroesophageal reflux disease and acid‐related conditions: trends in incidence of diagnosis and acid suppression therapy. J Med Econ. 2009;12:348–355. , , , , , .
- Healthcare costs of GERD and acid‐related conditions in pediatric patients, with comparison between histamine‐2 receptor antagonists and proton pump inhibitors. Curr Med Res Opin. 2009;25:2703–2709. , , , , , .
- Are we overprescribing antireflux medications for infants with regurgitation? Pediatrics. 2007;120:946–949. , , , .
- Proton pump inhibitor utilization patterns in infants. J Pediatr Gastroenterol Nutr. 2007;45:421–427. , , , , .
- Efficacy of proton‐pump inhibitors in children with gastroesophageal reflux disease: a systematic review. Pediatrics. 2011;127:925–935. , , , , , .
- Effectiveness and safety of proton pump inhibitors in infantile gastroesophageal reflux disease. Ann Pharmacother. 2010;44:572–576. .
- Are there risks associated with empric acid suppression treatment of infants and children suspected of having gastroesophageal reflux disease? Hosp Pediatr. 2013;3:16–23. .
- Bronchiolitis management preferences and the influence of pulse oximetry and respiratory rate on the decision to admit. Pediatrics. 2003;111:e45–e51. , , , .
- Impact of pulse oximetry and oxygen therapy on length of stay in bronchiolitis hospitalizations. Arch Pediatr Adolesc Med. 2004;158:527–530. , , , .
- Effect of oxygen supplementation on length of stay for infants hospitalized with acute viral bronchiolitis. Pediatrics. 2008;121:470–475. , .
- Oxygen therapy for bronchiolitis. Pediatrics. 2007;120:686–687; author reply 687–688. .
- Bronchiolitis‐associated hospitalizations among US children, 1980–1996. JAMA. 1999;282:1440–1446. , , , , , .
- Bronchiolitis: recent evidence on diagnosis and management. Pediatrics. 2010;125:342–349. , .
- Bronchiolitis‐associated mortality and estimates of respiratory syncytial virus‐associated deaths among US children, 1979–1997. J Infect Dis. 2001;183:16–22. , , , , .
- Observational study of two oxygen saturation targets for discharge in bronchiolitis. Arch Dis Child. 2012;97:361–363. , .
- Longitudinal assessment of hemoglobin oxygen saturation in preterm and term infants in the first six months of life. J Pediatr. 2011;159:377–383.e1. , , , et al.
- The impact of severe asthma on schoolchildren. J Asthma. 1999;36:409–417. , .
- Multi‐center, randomized trial of pulse oximetry monitoring strategies for children hospitalized for bronchiolitis. Abstract presented at: ID Week 2012; October 2012; San Diego, CA. , .
- The appropriateness method has acceptable reliability and validity for assessing overuse and underuse of surgical procedures. J Clin Epidemiol. 2012;65:1133–1143. , , , .
- Agency for Healthcare Research and Quality. HCUPnet. Kids inpatient database 2009. Available at: http://hcupnet.ahrq.gov. Accessed November 6, 2012.
- Too little? Too much? Primary care physicians' views on US health care: a brief report. Arch Intern Med. 2011;171:1582–1585. , , .
- How to implement change in clinical practice. Paediatr Respir Rev. 2003;4:340–346. .
- Eliminating waste in US health care. JAMA. 2012;307:1513–1516. , .
- Safely doing less: a missing component of the patient safety dialogue. Pediatrics. 2011;128:e1596–e1597. , , .
- To Err Is Human: Building a Safer Health System. Washington, DC: National Academy Press; 2000. , , .
- Temporal trends in rates of patient harm resulting from medical care. N Engl J Med. 2010;363:2124–2134. , , , , , .
- Screening for prostate cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2012;157:120–134. .
- Choosing wisely: helping physicians and patients make smart decisions about their care. JAMA. 2012;307:1801–1802. , .
- The quality of ambulatory care delivered to children in the United States. N Engl J Med. 2007;357:1515–1523. , , , et al.
- National Asthma Education and Prevention Program. Expert panel report 3 (EPR‐3): guidelines for the diagnosis and management of asthma—summary report 2007. J Allergy Clin Immunol. 2007;120:S94–S138.
- The chest x‐ray and childhood acute asthma. Aust Clin Rev. 1993;13:153–156. , .
- Clinical factors associated with focal infiltrates in wheezing infants and toddlers. Clin Pediatr (Phila). 2000;39:387–393. , , , .
- Chest radiographs in the pediatric emergency department for children < or = 18 months of age with wheezing. Clin Pediatr (Phila). 1999;38:395–399. , , , .
- Clinical predictors of pneumonia among children with wheezing. Pediatrics. 2009;124:e29–e36. , , , , , .
- Reduce the rads: a quality assurance project on reducing unnecessary chest X‐rays in children with asthma. J Paediatr Child Health. 2005;41:107–111. , .
- American Academy of Pediatrics Subcommittee on Diagnosis and Management of Bronchiolitis. Diagnosis and management of bronchiolitis. Pediatrics. 2006;118:1774–1793.
- Evaluation of the utility of radiography in acute bronchiolitis. J Pediatr. 2007;150:429–433. , , , et al.
- Incidence and predisposing factors for severe disease in previously healthy term infants experiencing their first episode of bronchiolitis. Acta Paediatr. 2011;100:e17–e23. , , , et al.
- A cost effectiveness analysis of omitting radiography in diagnosis of acute bronchiolitis. Pediatr Pulmonol. 2009;44:122–127. , , , et al.
- Decreasing unnecessary utilization in acute bronchiolitis care: results from the value in inpatient pediatrics network. J Hosp Med. 2013;8:25–30. , , , et al.
- Efficacy of bronchodilator therapy in bronchiolitis. A meta‐analysis. Arch Pediatr Adolesc Med. 1996;150:1166–1172. , , , .
- Efficacy of beta2‐agonists in bronchiolitis: a reappraisal and meta‐analysis. Pediatrics. 1997;100:233–239. , .
- Bronchodilators for bronchiolitis. Cochrane Database Syst Rev. 2010;(12):CD001266. , .
- Epinephrine for bronchiolitis. Cochrane Database Syst Rev. 2011;(6):CD003123. , , , et al.
- Epinephrine and dexamethasone in children with bronchiolitis. N Engl J Med. 2009;360:2079–2089. , , , et al.
- A multicenter, randomized, double‐blind, controlled trial of nebulized epinephrine in infants with acute bronchiolitis. N Engl J Med. 2003;349:27–35. , , , et al.
- A randomized, controlled trial of the effectiveness of nebulized therapy with epinephrine compared with albuterol and saline in infants hospitalized for acute viral bronchiolitis. J Pediatr. 2002;141:818–824. , , , .
- Oral prednisolone for preschool children with acute virus‐induced wheezing. N Engl J Med. 2009;360:329–338. , , , et al.
- Glucocorticoids for acute viral bronchiolitis in infants and young children. Cochrane Database Syst Rev. 2010;(10):CD004878. , , , et al.
- Systemic corticosteroids in infant bronchiolitis: a meta‐analysis. Pediatrics. 2000;105:E44. , , , , .
- Controlled trial of oral prednisone in the emergency department treatment of children with acute asthma. Pediatrics. 1993;92:513–518. , , , .
- Methylprednisolone therapy for acute asthma in infants and toddlers: a controlled clinical trial. Pediatrics. 1990;86:350–356. , , .
- Effect of a single oral dose of prednisolone in acute childhood asthma. Lancet. 1987;1:879–882. , , , , .
- The clinical management of preterm infants with bronchiolitis. Hosp Pediatr. 2013;3:244–250. , , , , .
- Glucocorticoids and growth in asthmatic children. Pediatr Allergy Immunol. 1995;6:145–154. , .
- Adjunct corticosteroids in children hospitalized with community‐acquired pneumonia. Pediatrics. 2011;127:e255–e263. , , , , , .
- Pediatric gastroesophageal reflux disease and acid‐related conditions: trends in incidence of diagnosis and acid suppression therapy. J Med Econ. 2009;12:348–355. , , , , , .
- Healthcare costs of GERD and acid‐related conditions in pediatric patients, with comparison between histamine‐2 receptor antagonists and proton pump inhibitors. Curr Med Res Opin. 2009;25:2703–2709. , , , , , .
- Are we overprescribing antireflux medications for infants with regurgitation? Pediatrics. 2007;120:946–949. , , , .
- Proton pump inhibitor utilization patterns in infants. J Pediatr Gastroenterol Nutr. 2007;45:421–427. , , , , .
- Efficacy of proton‐pump inhibitors in children with gastroesophageal reflux disease: a systematic review. Pediatrics. 2011;127:925–935. , , , , , .
- Effectiveness and safety of proton pump inhibitors in infantile gastroesophageal reflux disease. Ann Pharmacother. 2010;44:572–576. .
- Are there risks associated with empric acid suppression treatment of infants and children suspected of having gastroesophageal reflux disease? Hosp Pediatr. 2013;3:16–23. .
- Bronchiolitis management preferences and the influence of pulse oximetry and respiratory rate on the decision to admit. Pediatrics. 2003;111:e45–e51. , , , .
- Impact of pulse oximetry and oxygen therapy on length of stay in bronchiolitis hospitalizations. Arch Pediatr Adolesc Med. 2004;158:527–530. , , , .
- Effect of oxygen supplementation on length of stay for infants hospitalized with acute viral bronchiolitis. Pediatrics. 2008;121:470–475. , .
- Oxygen therapy for bronchiolitis. Pediatrics. 2007;120:686–687; author reply 687–688. .
- Bronchiolitis‐associated hospitalizations among US children, 1980–1996. JAMA. 1999;282:1440–1446. , , , , , .
- Bronchiolitis: recent evidence on diagnosis and management. Pediatrics. 2010;125:342–349. , .
- Bronchiolitis‐associated mortality and estimates of respiratory syncytial virus‐associated deaths among US children, 1979–1997. J Infect Dis. 2001;183:16–22. , , , , .
- Observational study of two oxygen saturation targets for discharge in bronchiolitis. Arch Dis Child. 2012;97:361–363. , .
- Longitudinal assessment of hemoglobin oxygen saturation in preterm and term infants in the first six months of life. J Pediatr. 2011;159:377–383.e1. , , , et al.
- The impact of severe asthma on schoolchildren. J Asthma. 1999;36:409–417. , .
- Multi‐center, randomized trial of pulse oximetry monitoring strategies for children hospitalized for bronchiolitis. Abstract presented at: ID Week 2012; October 2012; San Diego, CA. , .
- The appropriateness method has acceptable reliability and validity for assessing overuse and underuse of surgical procedures. J Clin Epidemiol. 2012;65:1133–1143. , , , .
- Agency for Healthcare Research and Quality. HCUPnet. Kids inpatient database 2009. Available at: http://hcupnet.ahrq.gov. Accessed November 6, 2012.
- Too little? Too much? Primary care physicians' views on US health care: a brief report. Arch Intern Med. 2011;171:1582–1585. , , .
- How to implement change in clinical practice. Paediatr Respir Rev. 2003;4:340–346. .
Copyright © 2013 Society of Hospital Medicine
VIP Quality Improvement Network
Currently, 3%5% of infants under a year of age will be admitted to a hospital for acute viral bronchiolitis each year, making it the leading cause of hospitalization in children.15 The American Academy of Pediatrics guideline on the diagnosis and management of bronchiolitis advocates primarily supportive care for this self‐limited disease.6 Specifically, the routine use of therapies such as bronchodilators and corticosteroids are not recommended, nor is routine evaluation with diagnostic testing.6 Numerous studies have established the presence of unwarranted variation in most aspects of bronchiolitis care,713 and the current evidence does not support the routine usage of specific interventions in inpatients.1418
Acute bronchiolitis accounts for direct inpatient medical costs of over $500 million per year.19 Based on estimates from the Healthcare Utilization Project Kids' Inpatient Database, acute bronchiolitis is second only to respiratory distress syndrome as the most expensive disease of hospitalized children.1 Although charges may not correlate directly with costs or even the actual intensity of resource utilization, the national bill, based on charges, is approximately 1.4 billion dollars per year.1 Either way, the leading cause of hospitalization in children is expensive and suffers from dramatic variation in care characterized by overutilization of ineffective interventions.
Evidence‐based guidelines for bronchiolitis are readily available and their successful adoption within larger, academic children's hospitals has been demonstrated.2028 However, upwards of 70% of all children in this country are cared for outside of freestanding children's hospitals,1 and very little has been published about wide dissemination of evidence‐based guidelines in these settings.29 In 2008, the Value in Inpatient Pediatrics (VIP) network was created, as an inclusive pediatric inpatient quality improvement collaborative with a focus on linking academic and community‐based hospitalist groups, to disseminate evidence‐based management strategies for bronchiolitis. We hypothesized that group norming, through benchmarking and public goal setting at the level of the hospitalist group, would decrease overall utilization of nonevidence‐based therapies. Specifically, we were trying to decrease the utilization of bronchodilators, steroids, chest physiotherapy, chest radiography, and viral testing in hospitalized children diagnosed with uncomplicated bronchiolitis.
METHODS
Beginning in early 2008, we recruited pediatric hospitalists into a voluntary bronchiolitis quality improvement collaborative from within the community of hospitalists created by the American Academy of Pediatrics Section on Hospital Medicine. Participants were recruited through open calls at national conferences and mass e‐mails to the section membership through the listserve. The guiding principle for the collaborative was the idea that institutional adoption of evidence‐based disease‐management strategies would result in higher value of care, and that this process could be facilitated by benchmarking local performance against norms created within the larger community. We used group consensus to identify the therapies and tests to benchmark, although the chosen measures meshed with those addressed in the American Academy of Pediatrics (AAP) clinical practice guideline. Use of bronchodilators, corticosteroids, chest physiotherapy, chest radiography, and viral testing were all felt to be significantly overutilized in participating clinical sites. We were unaware of any published national targets for utilization of these therapies or tests, and none of the participating hospitalist groups was actively benchmarking their utilization against any peer group at the start of the project. Length of stay, rates of readmission within 72 hours of discharge, and variable direct costs were chosen as balancing measures for the project.
We collected data on hospitalizations for bronchiolitis for 4 calendar years, from 2007 through 2010, based on the following inclusion criteria: children under 24 months of age, hospitalized for the primary diagnosis of acute viral bronchiolitis as defined by International Classification of Diseases, Ninth Revision (ICD‐9) codes 466.11 and 466.19. We specifically included patients who were in observation status as well as those in inpatient status, and excluded all intensive care unit admissions. Other exclusions were specific ICD‐9 codes for: chronic lung diseases, asthma, chromosomal abnormalities, heart disease, and neurological diseases. We then tracked overall utilization of any bronchodilator (albuterol, levalbuterol, epinephrine, or ipratropium) during the hospitalization, including the emergency department; total number of bronchodilator doses per patient; utilization of any corticosteroids (inhaled or systemic); chest radiography; respiratory syncytial virus (RSV) testing; and chest physiotherapy; as well as variable direct costs per hospitalization for each center. A standardized toolkit was provided to participating centers to facilitate data collection. Data was sought from administrative sources, collected in aggregate form and not at the patient level, and no protected health information was collected as part of the project. The project was categorized as exempt by the University of Texas Health Science Center San Antonio Institutional Review Board, the location of the data repository.
The project began in 2008, though we requested that centers provide 2007 data to supplement our baseline. We held the first group meeting in July 2009 and began the facilitated sharing of resources to promote evidence‐based care, such as guidelines, protocols, respiratory scores, and patient handouts, across sites using data from 2007 and 2008 as our baseline for benchmarking and later assessing any improvement. Centers adopted guidelines at their own pace and we did not require guideline adoption for continued participation. We provided summaries of the available literature by topic, in the event that site leaders wished to give institutional grand rounds or other presentations. All dissemination of guidelines or protocols was done based on the request of the center, and no specific resource was created or sanctioned by the group, though the AAP Guideline for the Diagnosis and Management of Bronchiolitis6 remained a guiding document. Some of our centers participated in more extensive collaborative projects which involved small‐group goal setting, adoption of similar protocols, and conference calls, though this never encompassed more than 25% of the network.
The main product of the project was a yearly report benchmarking each hospital against the network average on each of our chosen utilization measures. The first report was disseminated in July 2009 and included data on calendar year 2007 and 2008, which we considered our group baseline. Most institutions began local Plan‐Do‐Study‐Act (PDSA) cycles by mid‐2009 using the data we provided as they benchmarked their performance against other members of the collaborative, and these continued through 2010. Hospitals were coded and remained anonymous. However, we publicly honored the high performers within the network at a yearly meeting, and urged these centers to share their tools and strategies, which was facilitated through a project Web site.30 All participation was voluntary, and all costs were borne by individuals or their respective centers.
In order to assess data quality, we undertook a validation project for calendar year 2009. We requested local direct chart review of a 10% sample, or a minimum of 10 charts, to confirm reported utilization rates for the therapies and tests we tracked. Any center with less than 80% accuracy was then asked to review data collection methods and make adjustments accordingly. One center identified and resolved a significant data discrepancy and 2 centers refused to participate in the validation project, citing their participation in a large national database for which there was already a very rigorous data validation process (Child Health Corporation of America's Pediatric Health Information System database). Given that we did not uncover major discrepancies in data quality within our network, we did not request further data validation but rather promoted year‐to‐year consistency of collection methods, seeking to collect the same type/quality of data that hospitals use in their own internal performance assessments.
Statistical analyses were performed using GraphPad InStat, version 3.0 (GraphPad Software, San Diego, CA). Descriptive statistics (including interquartile range ([IQR], the range from 25th to 75th percentile of the data) are provided. Analysis of process measures over the series of years was performed using repeated measures analysis of variance (ANOVA), as were intra‐hospital comparisons for all measures. Hospitals were not weighted by volume of admissions, ie, the unit of analysis was the hospital and not individual hospitalizations. Data were analyzed for normality using the method of Kolmogorov and Smirnoff, and in cases where normality was not satisfied (steroids and chest physiotherapy), the data were transformed and nonparametric methods were used. Post‐test adjustment for multiple comparisons was done using the TukeyKramer test in cases where ANOVA P values were <0.05. Fisher's exact test was used to analyze contingency tables for categorical variables such as presence or absence of a protocol.
RESULTS
Data encompassing 11,568 bronchiolitis hospitalizations in 17 centers, for calendar years 2007 to 2010, were analyzed for this report. A total of 31 centers ever participated in the project; however, this report is restricted to centers who participated for the entirety of the project from 2008 through 2010, and who consented to have their data reported. Specifically, 18 centers met inclusion criteria and 1 center opted out of the project, leaving the 17 centers described in Table 1. The overall network makeup shifted each year, but was always more than 80% non‐freestanding children's hospitals and approximately 30% urban, as defined as located in a population center of more than 1 million. A large majority of the participants did not have a local bronchiolitis protocol or guideline at the start of the project, although 88% of participants adopted some form of protocolized care by 2010. Calendar years 2007 and 2008 served as our network baseline, with most interventions (in institutions where they occurred) begun by calendar year 2009. The level of intervention varied greatly among institutions, with a few institutions doing nothing more than benchmarking their performance.
Participating Centers (Alphabetically by State) | Type of Facility | Average Yearly Bronchiolitis Admissions | Approximate Medicaid (%) | Guideline Prior to Joining Project? | Location |
---|---|---|---|---|---|
| |||||
Scottsdale Healthcare Scottsdale, AZ | PEDS | 133 | 26 | No | Suburban |
Shands Hospital for Children at the University of Florida Gainesville, FL | CHWH | 107 | 59 | No | Suburban |
Children's Hospital of Illinois Peoria, IL | CHWH | 97 | 15 | No | Suburban |
Kentucky Children's Hospital Lexington, KY | CHWH | 135 | 60 | Yes | Suburban |
Our Lady of the Lake Baton Rouge, LA | CHWH | 138 | 70 | No | Suburban |
The Barbara Bush Children's Hospital Portland, ME | CHWH | 31 | 41 | Yes | Suburban |
Franklin Square Hospital Center Baltimore, MD | PEDS | 66 | 40 | No | Suburban |
Anne Arundel Medical Center Annapolis, MD | CHWH | 56 | 36 | No | Suburban |
Children's Hospital at Montefiore Bronx, NY | CHWH | 220 | 65 | No | Urban |
Mission Children's Hospital Asheville, NC | CHWH | 112 | 21 | Yes | Suburban |
Cleveland Clinic Children's Hospital Cleveland, OH | CHWH | 58 | 24 | Yes | Urban |
Palmetto Health Children's Hospital Columbia, SC | CHWH | 181 | 60 | No | Suburban |
East Tennessee Children's Hospital Knoxville, TN | FSCH | 373 | 60 | No | Suburban |
Texas Children's Hospital Houston, TX | FSCH | 619 | 60 | Yes | Urban |
Christus Santa Rosa Children's Hospital San Antonio, TX | CHWH | 390 | 71 | No | Urban |
Children's Hospital of The Kings' Daughters Norfolk, VA | FSCH | 303 | 60 | No | Suburban |
Children's Hospital of Richmond Richmond, VA | CHWH | 40 | 60 | No | Urban |
Mean length of stay (LOS), readmission rates, and variable direct costs did not differ significantly during the project time period. Mean LOS for the network ranged from a low of 2.4 days (IQR, 2.22.8 days) to a high of 2.7 days (IQR, 2.43.1 days), and mean readmission rates ranged from 1.2% (IQR, 0.7%1.8%) to 1.7% (IQR, 0.7%2.5%) during the project. Mean variable direct costs ranged from $1639 (IQR, $1383$1864) to $1767 (IQR, $1365$2320).
Table 2 describes the mean overall utilization of bronchodilators, chest radiography, RSV testing, steroids, and chest physiotherapy among the group from 2007 to 2010. By 2010, we saw a 46% decline in the volume of bronchodilator used within the network, a 3.6 (95% confidence interval [CI] 1.45.8) dose per patient absolute decrease (P < 0.01). We also saw a 12% (95% CI 5%25%) absolute decline in the overall percentage of patients exposed to any bronchodilator (P < 0.01). Finally, there was a 10% (95% CI 3%18%) absolute decline in the overall utilization of any chest physiotherapy (P < 0.01). The project did not demonstrate a significant impact on utilization of corticosteroids, chest radiography, or viral testing, although several centers achieved significant decreases on a local level (data not shown).
Utilization Measure | 2007 | 2008 | 2009 | 2010 |
---|---|---|---|---|
No. (IQR) | No. (IQR) | No. (IQR) | No. (IQR) | |
| ||||
Bronchodilator doses per patient (P < 0.01) | 7.9 (4.69.8) | 6.4 (4.08.4) | 5.7 (3.67.6) | 4.3 (3.05.9) |
Any bronchodilators (P < 0.01) | 70% (59%83%) | 67% (56%77%) | 68% (61%76%) | 58% (46%69%) |
Chest physiotherapy (P < 0.01) | 14% (5%19%) | 10% (1%8%) | 7% (2%6%) | 4% (1%7%) |
Chest radiography (P = NS) | 64% (54%81%) | 66% (55%79%) | 64% (60%73%) | 59% (50%73%) |
Any steroids (P = NS) | 21% (14%26%) | 20% (15%28%) | 21% (14%22%) | 16% (13%25%) |
RSV testing (P = NS) | 64% (52%84%) | 61% (49%78%) | 62% (50%78%) | 57% (44%75%) |
We analyzed within‐hospital trends as well. Figure 1 describes intra‐hospital change over the course of the project for overall bronchodilator usage. In this analysis, 15 of 17 hospitals (88%) achieved a significant decrease in overall bronchodilator utilization by 2010. (Hospitals 27 and 29 were unable to provide 2007 baseline data.) For doses per patient, 15 of 17 institutions provided data on this measure, and 12 of 15 (80%) achieved significant decreases (Figure 2). Of note, the institutions failing to achieve significant decreases in bronchodilator utilization entered the project with utilization rates that were already significantly below network mean at the start of the project. (Institutions failing to improve are denoted with an asterisk in Figures 1 and 2.) Since most institutions made significant improvements in bronchodilator utilization over time, we looked for correlates of failure to decrease utilization. The strongest association for failure to improve during the project period was use of a protocol prior to joining the network (odds ratio [OR] = 11, 95% CI 261).
DISCUSSION
We demonstrated a significant decline in utilization of bronchodilators and chest physiotherapy in inpatient bronchiolitis within a voluntary quality collaborative focused on benchmarking without employing intensive interventions. This observation is important in that it demonstrates real‐world efficacy for our methods. Prior literature has clearly demonstrated that local bronchiolitis guidelines are effective; however, our data on over 11,000 hospitalizations from a broad array of inpatient settings continue to show a high rate of overutilization. We facilitated dissemination and sharing of guideline‐related tools primarily electronically, and capitalized on perceived peer‐group frustration with inefficient management of a high‐volume, high‐utilization disease. While the project leadership had varying degrees of advanced training in quality improvement methodology, the majority of the site leaders were self‐taught and trained while on the job. Our inclusive collaborative had some success using pragmatic and low‐resource methods which we believe is a novel approach to the issue of overutilization.
These considerations are highlighted given the pressing need to find more efficient and scalable means of bending the cost curve of healthcare in the United States. Learning collaboratives are a relatively new model for improvement, with some history in pediatrics,31, 32 and are attractive because of their potential to generate both widespread capacity for change as well as direct improvement. Both cystic fibrosis31 and neonatology collaboratives32 have been celebrated for their positive impacts on children's healthcare, and both are testaments to the power inherent in creating a community of like‐minded individuals. One of the most popular models for learning collaboratives remains the Institute for Healthcare Improvement's Breakthrough Series; however, this model is resource intensive in that it typically involves large teams and several yearly face‐to‐face meetings, with significant monetary investment on the part of hospitals. On the other hand, virtual collaboratives have produced mixed results with respect to quality improvement,33 so there is a continued need to maximize our learning about what works efficiently. Our collaborative was able to successfully disseminate tools developed in large academic institutions to be applied in smaller and more varied settings, where resources for quality improvement activities were limited.
One possible reason for any successes in this project was the existence of a well‐known guideline for the management of bronchiolitis published by the American Academy of Pediatrics in 2006. This guideline recommends primarily symptomatic care, and has a statement supporting the contention that routine use of our targeted therapies is unnecessary. It allows for a trial of bronchodilator, but specifically states that all trials should be accompanied by the use of an objective measure of improvement (typically interpreted to mean a respiratory distress score). A guideline sanctioned by an important national organization of pediatricians was invaluable, and we believe that it should serve as a basis for any nationally promoted inpatient quality measure for this very common pediatric illness. The existence of the AAP guideline also highlights the possibility that our results are merely representative of secular trends in utilization in bronchiolitis care, since we had no control group. The available literature on national guidelines has shown mixed and quite modest impacts in other countries.28, 34 Most of our group took active steps to operationalize the guidelines as part of their participation in this collaborative, though they might have done similar work anyway due to the increasing importance of quality improvement in hospitalist culture over the years of the project.
The project did not demonstrate any impact on steroid utilization, or on rates of obtaining chest radiography or viral testing, despite expressly targeting these widely overused interventions. These modalities are often employed in the emergency department and, as a collaborative of pediatric hospitalists, we did not have specific emergency department participation which we recognize as a major weakness and potential impediment to further progress. We hope to collaborate with our respective emergency departments in the future on these particular measures. We also noted that many institutions were inflexible about foregoing viral testing, due to infection control issues arising from the need to cohort patients in shared rooms based on RSV positivity during the busy winter months. A few institutions were able to alter their infection control policies using the strategy of assuming all children with bronchiolitis had RSV (ie, choosing to use both contact precautions and to wear a mask when entering rooms), though this was not universally popular. Finally, we recognize a missed opportunity in not collecting dose per patient level data for steroids, which might have allowed us to distinguish hospitals with ongoing inpatient utilization of steroids from those with only emergency department usage.
Another significant limitation of this project was the lack of annual assessments of data quality. However, we believe our findings are still useful and important, even with this obvious limitation. Most quality improvement work is done using hospital‐supplied data gleaned from administrative databases, exactly the sources used in this project. Key decisions are made in most hospitals in the country based on data of similar quality. Further limitations of the project relate to the issue of replicability. The disease process we addressed is a major source of frustration to pediatric hospitalists, and our sample likely consisted of the most highly motivated individuals, as they sought out and joined a group with the express purpose of decreasing unnecessary utilization in bronchiolitis. We believe this limitation highlights the likely need for quality measures to emerge organically out of a community of practice when resources are limited, ie, we do not believe we would have had significant success using our methods with an unpopular or externally imposed quality measure.
Although a detailed analysis of costs was beyond the scope of the current project, it is possible that decreased utilization resulted in overall cost savings, despite the fact that our data did not demonstrate a significant change in network‐level average variable direct costs related to bronchiolitis. It has been suggested that such savings may be particularly difficult to demonstrate objectively, especially when the principal costs targeted are labor‐based.35 LOS did not significantly vary during the project, whereas the use of labor‐intensive therapies like nebulized bronchodilators and chest physiotherapy declined. It is, however, quite possible that the decreased utilization we demonstrated was accompanied by a concomitant increase in utilization of other unmeasured therapies.
CONCLUSIONS
A volunteer, peer‐group collaborative focused on benchmarking decreased utilization of bronchodilators and chest physiotherapy in bronchiolitis, though had no impact on overuse of other unnecessary therapies and tests.
Acknowledgements
The following authors have participated in the production of this work by: Conception and design of project: Ralston, Garber, Narang, Shen, Pate; Acquisition of data: Ralston, Garber, Narang, Pope, Lossius, Croland, Bennett, Jewell, Krugman, Robbins, Nazif, Liewehr, Miller, Marks, Pappas, Pardue, Quinonez, Fine, Ryan; Analysis and interpretation of data: Ralston, Garber, Narang, Shen, Pate, Pope, Lossius, Croland, Bennett, Jewell, Krugman, Robbins, Nazif, Liewehr, Miller, Marks, Pappas, Pardue, Quinonez, Fine, Ryan; Drafting the article: Ralston, Garber, Shen; Revising it critically for important intellectual content, and final approval of the version to be published: Ralston, Garber, Narang, Shen, Pate, Pope, Lossius, Croland, Bennett, Jewell, Krugman, Robbins, Nazif, Liewehr, Miller, Marks, Pappas, Pardue, Quinonez, Fine, Ryan.
Disclosures: The VIP network receives financial/administrative support from the American Academy of Pediatrics through the Quality Improvement Innovations Network. Dr Ralston receives financial support from the American Academy of Pediatrics as editor of the AAP publication, Hospital Pediatrics. Drs Garber, Narang, Shen, Pate, Pope, Lossius, Croland, Bennett, Jewell, Krugman, Robbins, Nazif, Liewehr, Miller, Marks, Pappas, Pardue, Quinonez, Fine, and Ryan report no conflicts.
- HCUPnet. Kids Inpatient Database 2006. Available at: http://hcupnet.ahrq.gov/. Accessed February 6, 2011.
- Recent trends in severe respiratory syncytial virus (RSV) among US infants, 1997 to 2000. J Pediatr. 2003;143:S127–S132. , .
- Infectious disease hospitalizations among infants in the United States. Pediatrics. 2008;121:244–252. , , , , .
- Bronchiolitis. Lancet. 2006;368:312–322. , .
- Rates of hospitalization for respiratory syncytial virus infection among children in Medicaid. J Pediatr. 2000;137:865–870. , , , , .
- Subcommittee on the Diagnosis and Management of Bronchiolitis, 2004–2006. Clinical practice guideline: diagnosis and management of bronchiolitis. Pediatrics. 2006;118:1774–1793.
- Bronchiolitis in US emergency departments 1992 to 2000: epidemiology and practice variation. Pediatr Emerg Care. 2005;21:242–247. , , .
- Practice variation among pediatric emergency departments in the treatment of bronchiolitis. Acad Emerg Med. 2004;11:353–360. , , , et al.
- Bronchiolitis management preferences and the influence of pulse oximetry and respiratory rate on the decision to admit. Pediatrics. 2003;111:e45–e51. , , , .
- Variations in management of common inpatient pediatric illnesses: hospitalists and community pediatricians. Pediatrics. 2006;118:441–447. , , , , , .
- Variation in pediatric hospitalists' use of proven and unproven therapies: a study from the Pediatric Research in Inpatient Settings (PRIS) network. J Hosp Med. 2008;3:292–298. , , , , .
- Pediatric Investigators Collaborative Network on Infections in Canada (PICNIC) study of admission and management variation in patients hospitalized with respiratory syncytial viral lower respiratory tract infection. J Pediatr. 1996;129:390–395. , , , et al.
- Effect of practice variation on resource utilization in infants hospitalized for viral lower respiratory illness. Pediatrics. 2001;108:851–855. , , , , .
- Bronchodilators for bronchiolitis. Cochrane Database Syst Rev. 2010 Dec 8;(12):CD001266. , .
- Chest physiotherapy for acute bronchiolitis in pediatric patients between 0 and 24 months old. Cochrane Database Syst Rev. 2007 Jan 24;(1):CD004873. , , .
- Epinephrine for bronchiolitis. Cochrane Database Syst Rev. 2011 Jun 15;(6):CD003123. , , , et al.
- Glucocorticoids for acute bronchiolitis in infants and young children. Cochrane Database Syst Rev. 2010 Oct 6;(10):CD004878. , , , et al.
- Efficacy of interventions for bronchiolitis in critically ill infants: a systematic review and meta‐analysis. Pediatr Crit Care Med. 2004;5:482–489. , , , .
- Direct medical costs of bronchiolitis hospitalizations in the United States. Pediatrics. 2006;118(6):2418–2423. , , .
- Evaluation of an evidence‐based guideline for bronchiolitis. Pediatrics. 1999;104(6):1334–1341. , , , et al.
- Standardizing the care of bronchiolitis. Arch Pediatr Adolesc Med. 1998;152(8):739–744. , , .
- Decreasing overuse of therapies in the treatment of bronchiolitis by incorporating evidence at the point of care. J Pediatr. 2004;144:703–710. , , , , , .
- Effect of point of care information on inpatient management of bronchiolitis. BMC Pediatr. 2007;7:4. , , , , , .
- A clinical pathway for bronchiolitis is effective in reducing readmission rates. J Pediatr. 2005;147:622–626. , , , et al.
- Sustaining the implementation of an evidence‐based guideline for bronchiolitis. Arch Pediatr Adolesc Med. 2000;154:1001–1007. , , , et al.
- Assessment of the French Consensus Conference for Acute Viral Bronchiolitis on outpatient management: progress between 2003 and 2008 [in French]. Arch Pediatr. 2010;17:125–131. , , , , , .
- Impact of a bronchiolitis guideline: a multisite demonstration project. Chest. 2002;121:1789–1797. , , , , , .
- Management of acute bronchiolitis: can evidence based guidelines alter clinical practice? Thorax. 2008;63:1103–1109. , , , .
- The “3 T's” roadmap to transform US health care: the “how” of high quality care. JAMA. 2008;299(19):2319–2321. , .
- The VIP Network. Available at: http://www.vipnetwork.webs.com. Accessed October 5, 2010.
- A story of success: continuous quality improvement in cystic fibrosis in the USA. Thorax. 2011;66:1106–1168. , .
- NICU practices and outcomes associated with 9 years of quality improvement collaboratives. Pediatrics. 2010;125:437–446. , , , , , .
- Quality improvement projects target health care‐associated infections: comparing virtual collaborative and toolkit approaches. J Hosp Med. 2011;6:271–278. , , , et al.
- Impact of consensus development conference guidelines on primary care of bronchiolitis: are national guidelines being followed? J Eval Clin Pract. 2007;13:651–656. , , , , .
- The savings illusion—why clinical quality improvement fails to deliver bottom‐line results. N Engl J Med. 2011;365:e48. , , , .
Currently, 3%5% of infants under a year of age will be admitted to a hospital for acute viral bronchiolitis each year, making it the leading cause of hospitalization in children.15 The American Academy of Pediatrics guideline on the diagnosis and management of bronchiolitis advocates primarily supportive care for this self‐limited disease.6 Specifically, the routine use of therapies such as bronchodilators and corticosteroids are not recommended, nor is routine evaluation with diagnostic testing.6 Numerous studies have established the presence of unwarranted variation in most aspects of bronchiolitis care,713 and the current evidence does not support the routine usage of specific interventions in inpatients.1418
Acute bronchiolitis accounts for direct inpatient medical costs of over $500 million per year.19 Based on estimates from the Healthcare Utilization Project Kids' Inpatient Database, acute bronchiolitis is second only to respiratory distress syndrome as the most expensive disease of hospitalized children.1 Although charges may not correlate directly with costs or even the actual intensity of resource utilization, the national bill, based on charges, is approximately 1.4 billion dollars per year.1 Either way, the leading cause of hospitalization in children is expensive and suffers from dramatic variation in care characterized by overutilization of ineffective interventions.
Evidence‐based guidelines for bronchiolitis are readily available and their successful adoption within larger, academic children's hospitals has been demonstrated.2028 However, upwards of 70% of all children in this country are cared for outside of freestanding children's hospitals,1 and very little has been published about wide dissemination of evidence‐based guidelines in these settings.29 In 2008, the Value in Inpatient Pediatrics (VIP) network was created, as an inclusive pediatric inpatient quality improvement collaborative with a focus on linking academic and community‐based hospitalist groups, to disseminate evidence‐based management strategies for bronchiolitis. We hypothesized that group norming, through benchmarking and public goal setting at the level of the hospitalist group, would decrease overall utilization of nonevidence‐based therapies. Specifically, we were trying to decrease the utilization of bronchodilators, steroids, chest physiotherapy, chest radiography, and viral testing in hospitalized children diagnosed with uncomplicated bronchiolitis.
METHODS
Beginning in early 2008, we recruited pediatric hospitalists into a voluntary bronchiolitis quality improvement collaborative from within the community of hospitalists created by the American Academy of Pediatrics Section on Hospital Medicine. Participants were recruited through open calls at national conferences and mass e‐mails to the section membership through the listserve. The guiding principle for the collaborative was the idea that institutional adoption of evidence‐based disease‐management strategies would result in higher value of care, and that this process could be facilitated by benchmarking local performance against norms created within the larger community. We used group consensus to identify the therapies and tests to benchmark, although the chosen measures meshed with those addressed in the American Academy of Pediatrics (AAP) clinical practice guideline. Use of bronchodilators, corticosteroids, chest physiotherapy, chest radiography, and viral testing were all felt to be significantly overutilized in participating clinical sites. We were unaware of any published national targets for utilization of these therapies or tests, and none of the participating hospitalist groups was actively benchmarking their utilization against any peer group at the start of the project. Length of stay, rates of readmission within 72 hours of discharge, and variable direct costs were chosen as balancing measures for the project.
We collected data on hospitalizations for bronchiolitis for 4 calendar years, from 2007 through 2010, based on the following inclusion criteria: children under 24 months of age, hospitalized for the primary diagnosis of acute viral bronchiolitis as defined by International Classification of Diseases, Ninth Revision (ICD‐9) codes 466.11 and 466.19. We specifically included patients who were in observation status as well as those in inpatient status, and excluded all intensive care unit admissions. Other exclusions were specific ICD‐9 codes for: chronic lung diseases, asthma, chromosomal abnormalities, heart disease, and neurological diseases. We then tracked overall utilization of any bronchodilator (albuterol, levalbuterol, epinephrine, or ipratropium) during the hospitalization, including the emergency department; total number of bronchodilator doses per patient; utilization of any corticosteroids (inhaled or systemic); chest radiography; respiratory syncytial virus (RSV) testing; and chest physiotherapy; as well as variable direct costs per hospitalization for each center. A standardized toolkit was provided to participating centers to facilitate data collection. Data was sought from administrative sources, collected in aggregate form and not at the patient level, and no protected health information was collected as part of the project. The project was categorized as exempt by the University of Texas Health Science Center San Antonio Institutional Review Board, the location of the data repository.
The project began in 2008, though we requested that centers provide 2007 data to supplement our baseline. We held the first group meeting in July 2009 and began the facilitated sharing of resources to promote evidence‐based care, such as guidelines, protocols, respiratory scores, and patient handouts, across sites using data from 2007 and 2008 as our baseline for benchmarking and later assessing any improvement. Centers adopted guidelines at their own pace and we did not require guideline adoption for continued participation. We provided summaries of the available literature by topic, in the event that site leaders wished to give institutional grand rounds or other presentations. All dissemination of guidelines or protocols was done based on the request of the center, and no specific resource was created or sanctioned by the group, though the AAP Guideline for the Diagnosis and Management of Bronchiolitis6 remained a guiding document. Some of our centers participated in more extensive collaborative projects which involved small‐group goal setting, adoption of similar protocols, and conference calls, though this never encompassed more than 25% of the network.
The main product of the project was a yearly report benchmarking each hospital against the network average on each of our chosen utilization measures. The first report was disseminated in July 2009 and included data on calendar year 2007 and 2008, which we considered our group baseline. Most institutions began local Plan‐Do‐Study‐Act (PDSA) cycles by mid‐2009 using the data we provided as they benchmarked their performance against other members of the collaborative, and these continued through 2010. Hospitals were coded and remained anonymous. However, we publicly honored the high performers within the network at a yearly meeting, and urged these centers to share their tools and strategies, which was facilitated through a project Web site.30 All participation was voluntary, and all costs were borne by individuals or their respective centers.
In order to assess data quality, we undertook a validation project for calendar year 2009. We requested local direct chart review of a 10% sample, or a minimum of 10 charts, to confirm reported utilization rates for the therapies and tests we tracked. Any center with less than 80% accuracy was then asked to review data collection methods and make adjustments accordingly. One center identified and resolved a significant data discrepancy and 2 centers refused to participate in the validation project, citing their participation in a large national database for which there was already a very rigorous data validation process (Child Health Corporation of America's Pediatric Health Information System database). Given that we did not uncover major discrepancies in data quality within our network, we did not request further data validation but rather promoted year‐to‐year consistency of collection methods, seeking to collect the same type/quality of data that hospitals use in their own internal performance assessments.
Statistical analyses were performed using GraphPad InStat, version 3.0 (GraphPad Software, San Diego, CA). Descriptive statistics (including interquartile range ([IQR], the range from 25th to 75th percentile of the data) are provided. Analysis of process measures over the series of years was performed using repeated measures analysis of variance (ANOVA), as were intra‐hospital comparisons for all measures. Hospitals were not weighted by volume of admissions, ie, the unit of analysis was the hospital and not individual hospitalizations. Data were analyzed for normality using the method of Kolmogorov and Smirnoff, and in cases where normality was not satisfied (steroids and chest physiotherapy), the data were transformed and nonparametric methods were used. Post‐test adjustment for multiple comparisons was done using the TukeyKramer test in cases where ANOVA P values were <0.05. Fisher's exact test was used to analyze contingency tables for categorical variables such as presence or absence of a protocol.
RESULTS
Data encompassing 11,568 bronchiolitis hospitalizations in 17 centers, for calendar years 2007 to 2010, were analyzed for this report. A total of 31 centers ever participated in the project; however, this report is restricted to centers who participated for the entirety of the project from 2008 through 2010, and who consented to have their data reported. Specifically, 18 centers met inclusion criteria and 1 center opted out of the project, leaving the 17 centers described in Table 1. The overall network makeup shifted each year, but was always more than 80% non‐freestanding children's hospitals and approximately 30% urban, as defined as located in a population center of more than 1 million. A large majority of the participants did not have a local bronchiolitis protocol or guideline at the start of the project, although 88% of participants adopted some form of protocolized care by 2010. Calendar years 2007 and 2008 served as our network baseline, with most interventions (in institutions where they occurred) begun by calendar year 2009. The level of intervention varied greatly among institutions, with a few institutions doing nothing more than benchmarking their performance.
Participating Centers (Alphabetically by State) | Type of Facility | Average Yearly Bronchiolitis Admissions | Approximate Medicaid (%) | Guideline Prior to Joining Project? | Location |
---|---|---|---|---|---|
| |||||
Scottsdale Healthcare Scottsdale, AZ | PEDS | 133 | 26 | No | Suburban |
Shands Hospital for Children at the University of Florida Gainesville, FL | CHWH | 107 | 59 | No | Suburban |
Children's Hospital of Illinois Peoria, IL | CHWH | 97 | 15 | No | Suburban |
Kentucky Children's Hospital Lexington, KY | CHWH | 135 | 60 | Yes | Suburban |
Our Lady of the Lake Baton Rouge, LA | CHWH | 138 | 70 | No | Suburban |
The Barbara Bush Children's Hospital Portland, ME | CHWH | 31 | 41 | Yes | Suburban |
Franklin Square Hospital Center Baltimore, MD | PEDS | 66 | 40 | No | Suburban |
Anne Arundel Medical Center Annapolis, MD | CHWH | 56 | 36 | No | Suburban |
Children's Hospital at Montefiore Bronx, NY | CHWH | 220 | 65 | No | Urban |
Mission Children's Hospital Asheville, NC | CHWH | 112 | 21 | Yes | Suburban |
Cleveland Clinic Children's Hospital Cleveland, OH | CHWH | 58 | 24 | Yes | Urban |
Palmetto Health Children's Hospital Columbia, SC | CHWH | 181 | 60 | No | Suburban |
East Tennessee Children's Hospital Knoxville, TN | FSCH | 373 | 60 | No | Suburban |
Texas Children's Hospital Houston, TX | FSCH | 619 | 60 | Yes | Urban |
Christus Santa Rosa Children's Hospital San Antonio, TX | CHWH | 390 | 71 | No | Urban |
Children's Hospital of The Kings' Daughters Norfolk, VA | FSCH | 303 | 60 | No | Suburban |
Children's Hospital of Richmond Richmond, VA | CHWH | 40 | 60 | No | Urban |
Mean length of stay (LOS), readmission rates, and variable direct costs did not differ significantly during the project time period. Mean LOS for the network ranged from a low of 2.4 days (IQR, 2.22.8 days) to a high of 2.7 days (IQR, 2.43.1 days), and mean readmission rates ranged from 1.2% (IQR, 0.7%1.8%) to 1.7% (IQR, 0.7%2.5%) during the project. Mean variable direct costs ranged from $1639 (IQR, $1383$1864) to $1767 (IQR, $1365$2320).
Table 2 describes the mean overall utilization of bronchodilators, chest radiography, RSV testing, steroids, and chest physiotherapy among the group from 2007 to 2010. By 2010, we saw a 46% decline in the volume of bronchodilator used within the network, a 3.6 (95% confidence interval [CI] 1.45.8) dose per patient absolute decrease (P < 0.01). We also saw a 12% (95% CI 5%25%) absolute decline in the overall percentage of patients exposed to any bronchodilator (P < 0.01). Finally, there was a 10% (95% CI 3%18%) absolute decline in the overall utilization of any chest physiotherapy (P < 0.01). The project did not demonstrate a significant impact on utilization of corticosteroids, chest radiography, or viral testing, although several centers achieved significant decreases on a local level (data not shown).
Utilization Measure | 2007 | 2008 | 2009 | 2010 |
---|---|---|---|---|
No. (IQR) | No. (IQR) | No. (IQR) | No. (IQR) | |
| ||||
Bronchodilator doses per patient (P < 0.01) | 7.9 (4.69.8) | 6.4 (4.08.4) | 5.7 (3.67.6) | 4.3 (3.05.9) |
Any bronchodilators (P < 0.01) | 70% (59%83%) | 67% (56%77%) | 68% (61%76%) | 58% (46%69%) |
Chest physiotherapy (P < 0.01) | 14% (5%19%) | 10% (1%8%) | 7% (2%6%) | 4% (1%7%) |
Chest radiography (P = NS) | 64% (54%81%) | 66% (55%79%) | 64% (60%73%) | 59% (50%73%) |
Any steroids (P = NS) | 21% (14%26%) | 20% (15%28%) | 21% (14%22%) | 16% (13%25%) |
RSV testing (P = NS) | 64% (52%84%) | 61% (49%78%) | 62% (50%78%) | 57% (44%75%) |
We analyzed within‐hospital trends as well. Figure 1 describes intra‐hospital change over the course of the project for overall bronchodilator usage. In this analysis, 15 of 17 hospitals (88%) achieved a significant decrease in overall bronchodilator utilization by 2010. (Hospitals 27 and 29 were unable to provide 2007 baseline data.) For doses per patient, 15 of 17 institutions provided data on this measure, and 12 of 15 (80%) achieved significant decreases (Figure 2). Of note, the institutions failing to achieve significant decreases in bronchodilator utilization entered the project with utilization rates that were already significantly below network mean at the start of the project. (Institutions failing to improve are denoted with an asterisk in Figures 1 and 2.) Since most institutions made significant improvements in bronchodilator utilization over time, we looked for correlates of failure to decrease utilization. The strongest association for failure to improve during the project period was use of a protocol prior to joining the network (odds ratio [OR] = 11, 95% CI 261).
DISCUSSION
We demonstrated a significant decline in utilization of bronchodilators and chest physiotherapy in inpatient bronchiolitis within a voluntary quality collaborative focused on benchmarking without employing intensive interventions. This observation is important in that it demonstrates real‐world efficacy for our methods. Prior literature has clearly demonstrated that local bronchiolitis guidelines are effective; however, our data on over 11,000 hospitalizations from a broad array of inpatient settings continue to show a high rate of overutilization. We facilitated dissemination and sharing of guideline‐related tools primarily electronically, and capitalized on perceived peer‐group frustration with inefficient management of a high‐volume, high‐utilization disease. While the project leadership had varying degrees of advanced training in quality improvement methodology, the majority of the site leaders were self‐taught and trained while on the job. Our inclusive collaborative had some success using pragmatic and low‐resource methods which we believe is a novel approach to the issue of overutilization.
These considerations are highlighted given the pressing need to find more efficient and scalable means of bending the cost curve of healthcare in the United States. Learning collaboratives are a relatively new model for improvement, with some history in pediatrics,31, 32 and are attractive because of their potential to generate both widespread capacity for change as well as direct improvement. Both cystic fibrosis31 and neonatology collaboratives32 have been celebrated for their positive impacts on children's healthcare, and both are testaments to the power inherent in creating a community of like‐minded individuals. One of the most popular models for learning collaboratives remains the Institute for Healthcare Improvement's Breakthrough Series; however, this model is resource intensive in that it typically involves large teams and several yearly face‐to‐face meetings, with significant monetary investment on the part of hospitals. On the other hand, virtual collaboratives have produced mixed results with respect to quality improvement,33 so there is a continued need to maximize our learning about what works efficiently. Our collaborative was able to successfully disseminate tools developed in large academic institutions to be applied in smaller and more varied settings, where resources for quality improvement activities were limited.
One possible reason for any successes in this project was the existence of a well‐known guideline for the management of bronchiolitis published by the American Academy of Pediatrics in 2006. This guideline recommends primarily symptomatic care, and has a statement supporting the contention that routine use of our targeted therapies is unnecessary. It allows for a trial of bronchodilator, but specifically states that all trials should be accompanied by the use of an objective measure of improvement (typically interpreted to mean a respiratory distress score). A guideline sanctioned by an important national organization of pediatricians was invaluable, and we believe that it should serve as a basis for any nationally promoted inpatient quality measure for this very common pediatric illness. The existence of the AAP guideline also highlights the possibility that our results are merely representative of secular trends in utilization in bronchiolitis care, since we had no control group. The available literature on national guidelines has shown mixed and quite modest impacts in other countries.28, 34 Most of our group took active steps to operationalize the guidelines as part of their participation in this collaborative, though they might have done similar work anyway due to the increasing importance of quality improvement in hospitalist culture over the years of the project.
The project did not demonstrate any impact on steroid utilization, or on rates of obtaining chest radiography or viral testing, despite expressly targeting these widely overused interventions. These modalities are often employed in the emergency department and, as a collaborative of pediatric hospitalists, we did not have specific emergency department participation which we recognize as a major weakness and potential impediment to further progress. We hope to collaborate with our respective emergency departments in the future on these particular measures. We also noted that many institutions were inflexible about foregoing viral testing, due to infection control issues arising from the need to cohort patients in shared rooms based on RSV positivity during the busy winter months. A few institutions were able to alter their infection control policies using the strategy of assuming all children with bronchiolitis had RSV (ie, choosing to use both contact precautions and to wear a mask when entering rooms), though this was not universally popular. Finally, we recognize a missed opportunity in not collecting dose per patient level data for steroids, which might have allowed us to distinguish hospitals with ongoing inpatient utilization of steroids from those with only emergency department usage.
Another significant limitation of this project was the lack of annual assessments of data quality. However, we believe our findings are still useful and important, even with this obvious limitation. Most quality improvement work is done using hospital‐supplied data gleaned from administrative databases, exactly the sources used in this project. Key decisions are made in most hospitals in the country based on data of similar quality. Further limitations of the project relate to the issue of replicability. The disease process we addressed is a major source of frustration to pediatric hospitalists, and our sample likely consisted of the most highly motivated individuals, as they sought out and joined a group with the express purpose of decreasing unnecessary utilization in bronchiolitis. We believe this limitation highlights the likely need for quality measures to emerge organically out of a community of practice when resources are limited, ie, we do not believe we would have had significant success using our methods with an unpopular or externally imposed quality measure.
Although a detailed analysis of costs was beyond the scope of the current project, it is possible that decreased utilization resulted in overall cost savings, despite the fact that our data did not demonstrate a significant change in network‐level average variable direct costs related to bronchiolitis. It has been suggested that such savings may be particularly difficult to demonstrate objectively, especially when the principal costs targeted are labor‐based.35 LOS did not significantly vary during the project, whereas the use of labor‐intensive therapies like nebulized bronchodilators and chest physiotherapy declined. It is, however, quite possible that the decreased utilization we demonstrated was accompanied by a concomitant increase in utilization of other unmeasured therapies.
CONCLUSIONS
A volunteer, peer‐group collaborative focused on benchmarking decreased utilization of bronchodilators and chest physiotherapy in bronchiolitis, though had no impact on overuse of other unnecessary therapies and tests.
Acknowledgements
The following authors have participated in the production of this work by: Conception and design of project: Ralston, Garber, Narang, Shen, Pate; Acquisition of data: Ralston, Garber, Narang, Pope, Lossius, Croland, Bennett, Jewell, Krugman, Robbins, Nazif, Liewehr, Miller, Marks, Pappas, Pardue, Quinonez, Fine, Ryan; Analysis and interpretation of data: Ralston, Garber, Narang, Shen, Pate, Pope, Lossius, Croland, Bennett, Jewell, Krugman, Robbins, Nazif, Liewehr, Miller, Marks, Pappas, Pardue, Quinonez, Fine, Ryan; Drafting the article: Ralston, Garber, Shen; Revising it critically for important intellectual content, and final approval of the version to be published: Ralston, Garber, Narang, Shen, Pate, Pope, Lossius, Croland, Bennett, Jewell, Krugman, Robbins, Nazif, Liewehr, Miller, Marks, Pappas, Pardue, Quinonez, Fine, Ryan.
Disclosures: The VIP network receives financial/administrative support from the American Academy of Pediatrics through the Quality Improvement Innovations Network. Dr Ralston receives financial support from the American Academy of Pediatrics as editor of the AAP publication, Hospital Pediatrics. Drs Garber, Narang, Shen, Pate, Pope, Lossius, Croland, Bennett, Jewell, Krugman, Robbins, Nazif, Liewehr, Miller, Marks, Pappas, Pardue, Quinonez, Fine, and Ryan report no conflicts.
Currently, 3%5% of infants under a year of age will be admitted to a hospital for acute viral bronchiolitis each year, making it the leading cause of hospitalization in children.15 The American Academy of Pediatrics guideline on the diagnosis and management of bronchiolitis advocates primarily supportive care for this self‐limited disease.6 Specifically, the routine use of therapies such as bronchodilators and corticosteroids are not recommended, nor is routine evaluation with diagnostic testing.6 Numerous studies have established the presence of unwarranted variation in most aspects of bronchiolitis care,713 and the current evidence does not support the routine usage of specific interventions in inpatients.1418
Acute bronchiolitis accounts for direct inpatient medical costs of over $500 million per year.19 Based on estimates from the Healthcare Utilization Project Kids' Inpatient Database, acute bronchiolitis is second only to respiratory distress syndrome as the most expensive disease of hospitalized children.1 Although charges may not correlate directly with costs or even the actual intensity of resource utilization, the national bill, based on charges, is approximately 1.4 billion dollars per year.1 Either way, the leading cause of hospitalization in children is expensive and suffers from dramatic variation in care characterized by overutilization of ineffective interventions.
Evidence‐based guidelines for bronchiolitis are readily available and their successful adoption within larger, academic children's hospitals has been demonstrated.2028 However, upwards of 70% of all children in this country are cared for outside of freestanding children's hospitals,1 and very little has been published about wide dissemination of evidence‐based guidelines in these settings.29 In 2008, the Value in Inpatient Pediatrics (VIP) network was created, as an inclusive pediatric inpatient quality improvement collaborative with a focus on linking academic and community‐based hospitalist groups, to disseminate evidence‐based management strategies for bronchiolitis. We hypothesized that group norming, through benchmarking and public goal setting at the level of the hospitalist group, would decrease overall utilization of nonevidence‐based therapies. Specifically, we were trying to decrease the utilization of bronchodilators, steroids, chest physiotherapy, chest radiography, and viral testing in hospitalized children diagnosed with uncomplicated bronchiolitis.
METHODS
Beginning in early 2008, we recruited pediatric hospitalists into a voluntary bronchiolitis quality improvement collaborative from within the community of hospitalists created by the American Academy of Pediatrics Section on Hospital Medicine. Participants were recruited through open calls at national conferences and mass e‐mails to the section membership through the listserve. The guiding principle for the collaborative was the idea that institutional adoption of evidence‐based disease‐management strategies would result in higher value of care, and that this process could be facilitated by benchmarking local performance against norms created within the larger community. We used group consensus to identify the therapies and tests to benchmark, although the chosen measures meshed with those addressed in the American Academy of Pediatrics (AAP) clinical practice guideline. Use of bronchodilators, corticosteroids, chest physiotherapy, chest radiography, and viral testing were all felt to be significantly overutilized in participating clinical sites. We were unaware of any published national targets for utilization of these therapies or tests, and none of the participating hospitalist groups was actively benchmarking their utilization against any peer group at the start of the project. Length of stay, rates of readmission within 72 hours of discharge, and variable direct costs were chosen as balancing measures for the project.
We collected data on hospitalizations for bronchiolitis for 4 calendar years, from 2007 through 2010, based on the following inclusion criteria: children under 24 months of age, hospitalized for the primary diagnosis of acute viral bronchiolitis as defined by International Classification of Diseases, Ninth Revision (ICD‐9) codes 466.11 and 466.19. We specifically included patients who were in observation status as well as those in inpatient status, and excluded all intensive care unit admissions. Other exclusions were specific ICD‐9 codes for: chronic lung diseases, asthma, chromosomal abnormalities, heart disease, and neurological diseases. We then tracked overall utilization of any bronchodilator (albuterol, levalbuterol, epinephrine, or ipratropium) during the hospitalization, including the emergency department; total number of bronchodilator doses per patient; utilization of any corticosteroids (inhaled or systemic); chest radiography; respiratory syncytial virus (RSV) testing; and chest physiotherapy; as well as variable direct costs per hospitalization for each center. A standardized toolkit was provided to participating centers to facilitate data collection. Data was sought from administrative sources, collected in aggregate form and not at the patient level, and no protected health information was collected as part of the project. The project was categorized as exempt by the University of Texas Health Science Center San Antonio Institutional Review Board, the location of the data repository.
The project began in 2008, though we requested that centers provide 2007 data to supplement our baseline. We held the first group meeting in July 2009 and began the facilitated sharing of resources to promote evidence‐based care, such as guidelines, protocols, respiratory scores, and patient handouts, across sites using data from 2007 and 2008 as our baseline for benchmarking and later assessing any improvement. Centers adopted guidelines at their own pace and we did not require guideline adoption for continued participation. We provided summaries of the available literature by topic, in the event that site leaders wished to give institutional grand rounds or other presentations. All dissemination of guidelines or protocols was done based on the request of the center, and no specific resource was created or sanctioned by the group, though the AAP Guideline for the Diagnosis and Management of Bronchiolitis6 remained a guiding document. Some of our centers participated in more extensive collaborative projects which involved small‐group goal setting, adoption of similar protocols, and conference calls, though this never encompassed more than 25% of the network.
The main product of the project was a yearly report benchmarking each hospital against the network average on each of our chosen utilization measures. The first report was disseminated in July 2009 and included data on calendar year 2007 and 2008, which we considered our group baseline. Most institutions began local Plan‐Do‐Study‐Act (PDSA) cycles by mid‐2009 using the data we provided as they benchmarked their performance against other members of the collaborative, and these continued through 2010. Hospitals were coded and remained anonymous. However, we publicly honored the high performers within the network at a yearly meeting, and urged these centers to share their tools and strategies, which was facilitated through a project Web site.30 All participation was voluntary, and all costs were borne by individuals or their respective centers.
In order to assess data quality, we undertook a validation project for calendar year 2009. We requested local direct chart review of a 10% sample, or a minimum of 10 charts, to confirm reported utilization rates for the therapies and tests we tracked. Any center with less than 80% accuracy was then asked to review data collection methods and make adjustments accordingly. One center identified and resolved a significant data discrepancy and 2 centers refused to participate in the validation project, citing their participation in a large national database for which there was already a very rigorous data validation process (Child Health Corporation of America's Pediatric Health Information System database). Given that we did not uncover major discrepancies in data quality within our network, we did not request further data validation but rather promoted year‐to‐year consistency of collection methods, seeking to collect the same type/quality of data that hospitals use in their own internal performance assessments.
Statistical analyses were performed using GraphPad InStat, version 3.0 (GraphPad Software, San Diego, CA). Descriptive statistics (including interquartile range ([IQR], the range from 25th to 75th percentile of the data) are provided. Analysis of process measures over the series of years was performed using repeated measures analysis of variance (ANOVA), as were intra‐hospital comparisons for all measures. Hospitals were not weighted by volume of admissions, ie, the unit of analysis was the hospital and not individual hospitalizations. Data were analyzed for normality using the method of Kolmogorov and Smirnoff, and in cases where normality was not satisfied (steroids and chest physiotherapy), the data were transformed and nonparametric methods were used. Post‐test adjustment for multiple comparisons was done using the TukeyKramer test in cases where ANOVA P values were <0.05. Fisher's exact test was used to analyze contingency tables for categorical variables such as presence or absence of a protocol.
RESULTS
Data encompassing 11,568 bronchiolitis hospitalizations in 17 centers, for calendar years 2007 to 2010, were analyzed for this report. A total of 31 centers ever participated in the project; however, this report is restricted to centers who participated for the entirety of the project from 2008 through 2010, and who consented to have their data reported. Specifically, 18 centers met inclusion criteria and 1 center opted out of the project, leaving the 17 centers described in Table 1. The overall network makeup shifted each year, but was always more than 80% non‐freestanding children's hospitals and approximately 30% urban, as defined as located in a population center of more than 1 million. A large majority of the participants did not have a local bronchiolitis protocol or guideline at the start of the project, although 88% of participants adopted some form of protocolized care by 2010. Calendar years 2007 and 2008 served as our network baseline, with most interventions (in institutions where they occurred) begun by calendar year 2009. The level of intervention varied greatly among institutions, with a few institutions doing nothing more than benchmarking their performance.
Participating Centers (Alphabetically by State) | Type of Facility | Average Yearly Bronchiolitis Admissions | Approximate Medicaid (%) | Guideline Prior to Joining Project? | Location |
---|---|---|---|---|---|
| |||||
Scottsdale Healthcare Scottsdale, AZ | PEDS | 133 | 26 | No | Suburban |
Shands Hospital for Children at the University of Florida Gainesville, FL | CHWH | 107 | 59 | No | Suburban |
Children's Hospital of Illinois Peoria, IL | CHWH | 97 | 15 | No | Suburban |
Kentucky Children's Hospital Lexington, KY | CHWH | 135 | 60 | Yes | Suburban |
Our Lady of the Lake Baton Rouge, LA | CHWH | 138 | 70 | No | Suburban |
The Barbara Bush Children's Hospital Portland, ME | CHWH | 31 | 41 | Yes | Suburban |
Franklin Square Hospital Center Baltimore, MD | PEDS | 66 | 40 | No | Suburban |
Anne Arundel Medical Center Annapolis, MD | CHWH | 56 | 36 | No | Suburban |
Children's Hospital at Montefiore Bronx, NY | CHWH | 220 | 65 | No | Urban |
Mission Children's Hospital Asheville, NC | CHWH | 112 | 21 | Yes | Suburban |
Cleveland Clinic Children's Hospital Cleveland, OH | CHWH | 58 | 24 | Yes | Urban |
Palmetto Health Children's Hospital Columbia, SC | CHWH | 181 | 60 | No | Suburban |
East Tennessee Children's Hospital Knoxville, TN | FSCH | 373 | 60 | No | Suburban |
Texas Children's Hospital Houston, TX | FSCH | 619 | 60 | Yes | Urban |
Christus Santa Rosa Children's Hospital San Antonio, TX | CHWH | 390 | 71 | No | Urban |
Children's Hospital of The Kings' Daughters Norfolk, VA | FSCH | 303 | 60 | No | Suburban |
Children's Hospital of Richmond Richmond, VA | CHWH | 40 | 60 | No | Urban |
Mean length of stay (LOS), readmission rates, and variable direct costs did not differ significantly during the project time period. Mean LOS for the network ranged from a low of 2.4 days (IQR, 2.22.8 days) to a high of 2.7 days (IQR, 2.43.1 days), and mean readmission rates ranged from 1.2% (IQR, 0.7%1.8%) to 1.7% (IQR, 0.7%2.5%) during the project. Mean variable direct costs ranged from $1639 (IQR, $1383$1864) to $1767 (IQR, $1365$2320).
Table 2 describes the mean overall utilization of bronchodilators, chest radiography, RSV testing, steroids, and chest physiotherapy among the group from 2007 to 2010. By 2010, we saw a 46% decline in the volume of bronchodilator used within the network, a 3.6 (95% confidence interval [CI] 1.45.8) dose per patient absolute decrease (P < 0.01). We also saw a 12% (95% CI 5%25%) absolute decline in the overall percentage of patients exposed to any bronchodilator (P < 0.01). Finally, there was a 10% (95% CI 3%18%) absolute decline in the overall utilization of any chest physiotherapy (P < 0.01). The project did not demonstrate a significant impact on utilization of corticosteroids, chest radiography, or viral testing, although several centers achieved significant decreases on a local level (data not shown).
Utilization Measure | 2007 | 2008 | 2009 | 2010 |
---|---|---|---|---|
No. (IQR) | No. (IQR) | No. (IQR) | No. (IQR) | |
| ||||
Bronchodilator doses per patient (P < 0.01) | 7.9 (4.69.8) | 6.4 (4.08.4) | 5.7 (3.67.6) | 4.3 (3.05.9) |
Any bronchodilators (P < 0.01) | 70% (59%83%) | 67% (56%77%) | 68% (61%76%) | 58% (46%69%) |
Chest physiotherapy (P < 0.01) | 14% (5%19%) | 10% (1%8%) | 7% (2%6%) | 4% (1%7%) |
Chest radiography (P = NS) | 64% (54%81%) | 66% (55%79%) | 64% (60%73%) | 59% (50%73%) |
Any steroids (P = NS) | 21% (14%26%) | 20% (15%28%) | 21% (14%22%) | 16% (13%25%) |
RSV testing (P = NS) | 64% (52%84%) | 61% (49%78%) | 62% (50%78%) | 57% (44%75%) |
We analyzed within‐hospital trends as well. Figure 1 describes intra‐hospital change over the course of the project for overall bronchodilator usage. In this analysis, 15 of 17 hospitals (88%) achieved a significant decrease in overall bronchodilator utilization by 2010. (Hospitals 27 and 29 were unable to provide 2007 baseline data.) For doses per patient, 15 of 17 institutions provided data on this measure, and 12 of 15 (80%) achieved significant decreases (Figure 2). Of note, the institutions failing to achieve significant decreases in bronchodilator utilization entered the project with utilization rates that were already significantly below network mean at the start of the project. (Institutions failing to improve are denoted with an asterisk in Figures 1 and 2.) Since most institutions made significant improvements in bronchodilator utilization over time, we looked for correlates of failure to decrease utilization. The strongest association for failure to improve during the project period was use of a protocol prior to joining the network (odds ratio [OR] = 11, 95% CI 261).
DISCUSSION
We demonstrated a significant decline in utilization of bronchodilators and chest physiotherapy in inpatient bronchiolitis within a voluntary quality collaborative focused on benchmarking without employing intensive interventions. This observation is important in that it demonstrates real‐world efficacy for our methods. Prior literature has clearly demonstrated that local bronchiolitis guidelines are effective; however, our data on over 11,000 hospitalizations from a broad array of inpatient settings continue to show a high rate of overutilization. We facilitated dissemination and sharing of guideline‐related tools primarily electronically, and capitalized on perceived peer‐group frustration with inefficient management of a high‐volume, high‐utilization disease. While the project leadership had varying degrees of advanced training in quality improvement methodology, the majority of the site leaders were self‐taught and trained while on the job. Our inclusive collaborative had some success using pragmatic and low‐resource methods which we believe is a novel approach to the issue of overutilization.
These considerations are highlighted given the pressing need to find more efficient and scalable means of bending the cost curve of healthcare in the United States. Learning collaboratives are a relatively new model for improvement, with some history in pediatrics,31, 32 and are attractive because of their potential to generate both widespread capacity for change as well as direct improvement. Both cystic fibrosis31 and neonatology collaboratives32 have been celebrated for their positive impacts on children's healthcare, and both are testaments to the power inherent in creating a community of like‐minded individuals. One of the most popular models for learning collaboratives remains the Institute for Healthcare Improvement's Breakthrough Series; however, this model is resource intensive in that it typically involves large teams and several yearly face‐to‐face meetings, with significant monetary investment on the part of hospitals. On the other hand, virtual collaboratives have produced mixed results with respect to quality improvement,33 so there is a continued need to maximize our learning about what works efficiently. Our collaborative was able to successfully disseminate tools developed in large academic institutions to be applied in smaller and more varied settings, where resources for quality improvement activities were limited.
One possible reason for any successes in this project was the existence of a well‐known guideline for the management of bronchiolitis published by the American Academy of Pediatrics in 2006. This guideline recommends primarily symptomatic care, and has a statement supporting the contention that routine use of our targeted therapies is unnecessary. It allows for a trial of bronchodilator, but specifically states that all trials should be accompanied by the use of an objective measure of improvement (typically interpreted to mean a respiratory distress score). A guideline sanctioned by an important national organization of pediatricians was invaluable, and we believe that it should serve as a basis for any nationally promoted inpatient quality measure for this very common pediatric illness. The existence of the AAP guideline also highlights the possibility that our results are merely representative of secular trends in utilization in bronchiolitis care, since we had no control group. The available literature on national guidelines has shown mixed and quite modest impacts in other countries.28, 34 Most of our group took active steps to operationalize the guidelines as part of their participation in this collaborative, though they might have done similar work anyway due to the increasing importance of quality improvement in hospitalist culture over the years of the project.
The project did not demonstrate any impact on steroid utilization, or on rates of obtaining chest radiography or viral testing, despite expressly targeting these widely overused interventions. These modalities are often employed in the emergency department and, as a collaborative of pediatric hospitalists, we did not have specific emergency department participation which we recognize as a major weakness and potential impediment to further progress. We hope to collaborate with our respective emergency departments in the future on these particular measures. We also noted that many institutions were inflexible about foregoing viral testing, due to infection control issues arising from the need to cohort patients in shared rooms based on RSV positivity during the busy winter months. A few institutions were able to alter their infection control policies using the strategy of assuming all children with bronchiolitis had RSV (ie, choosing to use both contact precautions and to wear a mask when entering rooms), though this was not universally popular. Finally, we recognize a missed opportunity in not collecting dose per patient level data for steroids, which might have allowed us to distinguish hospitals with ongoing inpatient utilization of steroids from those with only emergency department usage.
Another significant limitation of this project was the lack of annual assessments of data quality. However, we believe our findings are still useful and important, even with this obvious limitation. Most quality improvement work is done using hospital‐supplied data gleaned from administrative databases, exactly the sources used in this project. Key decisions are made in most hospitals in the country based on data of similar quality. Further limitations of the project relate to the issue of replicability. The disease process we addressed is a major source of frustration to pediatric hospitalists, and our sample likely consisted of the most highly motivated individuals, as they sought out and joined a group with the express purpose of decreasing unnecessary utilization in bronchiolitis. We believe this limitation highlights the likely need for quality measures to emerge organically out of a community of practice when resources are limited, ie, we do not believe we would have had significant success using our methods with an unpopular or externally imposed quality measure.
Although a detailed analysis of costs was beyond the scope of the current project, it is possible that decreased utilization resulted in overall cost savings, despite the fact that our data did not demonstrate a significant change in network‐level average variable direct costs related to bronchiolitis. It has been suggested that such savings may be particularly difficult to demonstrate objectively, especially when the principal costs targeted are labor‐based.35 LOS did not significantly vary during the project, whereas the use of labor‐intensive therapies like nebulized bronchodilators and chest physiotherapy declined. It is, however, quite possible that the decreased utilization we demonstrated was accompanied by a concomitant increase in utilization of other unmeasured therapies.
CONCLUSIONS
A volunteer, peer‐group collaborative focused on benchmarking decreased utilization of bronchodilators and chest physiotherapy in bronchiolitis, though had no impact on overuse of other unnecessary therapies and tests.
Acknowledgements
The following authors have participated in the production of this work by: Conception and design of project: Ralston, Garber, Narang, Shen, Pate; Acquisition of data: Ralston, Garber, Narang, Pope, Lossius, Croland, Bennett, Jewell, Krugman, Robbins, Nazif, Liewehr, Miller, Marks, Pappas, Pardue, Quinonez, Fine, Ryan; Analysis and interpretation of data: Ralston, Garber, Narang, Shen, Pate, Pope, Lossius, Croland, Bennett, Jewell, Krugman, Robbins, Nazif, Liewehr, Miller, Marks, Pappas, Pardue, Quinonez, Fine, Ryan; Drafting the article: Ralston, Garber, Shen; Revising it critically for important intellectual content, and final approval of the version to be published: Ralston, Garber, Narang, Shen, Pate, Pope, Lossius, Croland, Bennett, Jewell, Krugman, Robbins, Nazif, Liewehr, Miller, Marks, Pappas, Pardue, Quinonez, Fine, Ryan.
Disclosures: The VIP network receives financial/administrative support from the American Academy of Pediatrics through the Quality Improvement Innovations Network. Dr Ralston receives financial support from the American Academy of Pediatrics as editor of the AAP publication, Hospital Pediatrics. Drs Garber, Narang, Shen, Pate, Pope, Lossius, Croland, Bennett, Jewell, Krugman, Robbins, Nazif, Liewehr, Miller, Marks, Pappas, Pardue, Quinonez, Fine, and Ryan report no conflicts.
- HCUPnet. Kids Inpatient Database 2006. Available at: http://hcupnet.ahrq.gov/. Accessed February 6, 2011.
- Recent trends in severe respiratory syncytial virus (RSV) among US infants, 1997 to 2000. J Pediatr. 2003;143:S127–S132. , .
- Infectious disease hospitalizations among infants in the United States. Pediatrics. 2008;121:244–252. , , , , .
- Bronchiolitis. Lancet. 2006;368:312–322. , .
- Rates of hospitalization for respiratory syncytial virus infection among children in Medicaid. J Pediatr. 2000;137:865–870. , , , , .
- Subcommittee on the Diagnosis and Management of Bronchiolitis, 2004–2006. Clinical practice guideline: diagnosis and management of bronchiolitis. Pediatrics. 2006;118:1774–1793.
- Bronchiolitis in US emergency departments 1992 to 2000: epidemiology and practice variation. Pediatr Emerg Care. 2005;21:242–247. , , .
- Practice variation among pediatric emergency departments in the treatment of bronchiolitis. Acad Emerg Med. 2004;11:353–360. , , , et al.
- Bronchiolitis management preferences and the influence of pulse oximetry and respiratory rate on the decision to admit. Pediatrics. 2003;111:e45–e51. , , , .
- Variations in management of common inpatient pediatric illnesses: hospitalists and community pediatricians. Pediatrics. 2006;118:441–447. , , , , , .
- Variation in pediatric hospitalists' use of proven and unproven therapies: a study from the Pediatric Research in Inpatient Settings (PRIS) network. J Hosp Med. 2008;3:292–298. , , , , .
- Pediatric Investigators Collaborative Network on Infections in Canada (PICNIC) study of admission and management variation in patients hospitalized with respiratory syncytial viral lower respiratory tract infection. J Pediatr. 1996;129:390–395. , , , et al.
- Effect of practice variation on resource utilization in infants hospitalized for viral lower respiratory illness. Pediatrics. 2001;108:851–855. , , , , .
- Bronchodilators for bronchiolitis. Cochrane Database Syst Rev. 2010 Dec 8;(12):CD001266. , .
- Chest physiotherapy for acute bronchiolitis in pediatric patients between 0 and 24 months old. Cochrane Database Syst Rev. 2007 Jan 24;(1):CD004873. , , .
- Epinephrine for bronchiolitis. Cochrane Database Syst Rev. 2011 Jun 15;(6):CD003123. , , , et al.
- Glucocorticoids for acute bronchiolitis in infants and young children. Cochrane Database Syst Rev. 2010 Oct 6;(10):CD004878. , , , et al.
- Efficacy of interventions for bronchiolitis in critically ill infants: a systematic review and meta‐analysis. Pediatr Crit Care Med. 2004;5:482–489. , , , .
- Direct medical costs of bronchiolitis hospitalizations in the United States. Pediatrics. 2006;118(6):2418–2423. , , .
- Evaluation of an evidence‐based guideline for bronchiolitis. Pediatrics. 1999;104(6):1334–1341. , , , et al.
- Standardizing the care of bronchiolitis. Arch Pediatr Adolesc Med. 1998;152(8):739–744. , , .
- Decreasing overuse of therapies in the treatment of bronchiolitis by incorporating evidence at the point of care. J Pediatr. 2004;144:703–710. , , , , , .
- Effect of point of care information on inpatient management of bronchiolitis. BMC Pediatr. 2007;7:4. , , , , , .
- A clinical pathway for bronchiolitis is effective in reducing readmission rates. J Pediatr. 2005;147:622–626. , , , et al.
- Sustaining the implementation of an evidence‐based guideline for bronchiolitis. Arch Pediatr Adolesc Med. 2000;154:1001–1007. , , , et al.
- Assessment of the French Consensus Conference for Acute Viral Bronchiolitis on outpatient management: progress between 2003 and 2008 [in French]. Arch Pediatr. 2010;17:125–131. , , , , , .
- Impact of a bronchiolitis guideline: a multisite demonstration project. Chest. 2002;121:1789–1797. , , , , , .
- Management of acute bronchiolitis: can evidence based guidelines alter clinical practice? Thorax. 2008;63:1103–1109. , , , .
- The “3 T's” roadmap to transform US health care: the “how” of high quality care. JAMA. 2008;299(19):2319–2321. , .
- The VIP Network. Available at: http://www.vipnetwork.webs.com. Accessed October 5, 2010.
- A story of success: continuous quality improvement in cystic fibrosis in the USA. Thorax. 2011;66:1106–1168. , .
- NICU practices and outcomes associated with 9 years of quality improvement collaboratives. Pediatrics. 2010;125:437–446. , , , , , .
- Quality improvement projects target health care‐associated infections: comparing virtual collaborative and toolkit approaches. J Hosp Med. 2011;6:271–278. , , , et al.
- Impact of consensus development conference guidelines on primary care of bronchiolitis: are national guidelines being followed? J Eval Clin Pract. 2007;13:651–656. , , , , .
- The savings illusion—why clinical quality improvement fails to deliver bottom‐line results. N Engl J Med. 2011;365:e48. , , , .
- HCUPnet. Kids Inpatient Database 2006. Available at: http://hcupnet.ahrq.gov/. Accessed February 6, 2011.
- Recent trends in severe respiratory syncytial virus (RSV) among US infants, 1997 to 2000. J Pediatr. 2003;143:S127–S132. , .
- Infectious disease hospitalizations among infants in the United States. Pediatrics. 2008;121:244–252. , , , , .
- Bronchiolitis. Lancet. 2006;368:312–322. , .
- Rates of hospitalization for respiratory syncytial virus infection among children in Medicaid. J Pediatr. 2000;137:865–870. , , , , .
- Subcommittee on the Diagnosis and Management of Bronchiolitis, 2004–2006. Clinical practice guideline: diagnosis and management of bronchiolitis. Pediatrics. 2006;118:1774–1793.
- Bronchiolitis in US emergency departments 1992 to 2000: epidemiology and practice variation. Pediatr Emerg Care. 2005;21:242–247. , , .
- Practice variation among pediatric emergency departments in the treatment of bronchiolitis. Acad Emerg Med. 2004;11:353–360. , , , et al.
- Bronchiolitis management preferences and the influence of pulse oximetry and respiratory rate on the decision to admit. Pediatrics. 2003;111:e45–e51. , , , .
- Variations in management of common inpatient pediatric illnesses: hospitalists and community pediatricians. Pediatrics. 2006;118:441–447. , , , , , .
- Variation in pediatric hospitalists' use of proven and unproven therapies: a study from the Pediatric Research in Inpatient Settings (PRIS) network. J Hosp Med. 2008;3:292–298. , , , , .
- Pediatric Investigators Collaborative Network on Infections in Canada (PICNIC) study of admission and management variation in patients hospitalized with respiratory syncytial viral lower respiratory tract infection. J Pediatr. 1996;129:390–395. , , , et al.
- Effect of practice variation on resource utilization in infants hospitalized for viral lower respiratory illness. Pediatrics. 2001;108:851–855. , , , , .
- Bronchodilators for bronchiolitis. Cochrane Database Syst Rev. 2010 Dec 8;(12):CD001266. , .
- Chest physiotherapy for acute bronchiolitis in pediatric patients between 0 and 24 months old. Cochrane Database Syst Rev. 2007 Jan 24;(1):CD004873. , , .
- Epinephrine for bronchiolitis. Cochrane Database Syst Rev. 2011 Jun 15;(6):CD003123. , , , et al.
- Glucocorticoids for acute bronchiolitis in infants and young children. Cochrane Database Syst Rev. 2010 Oct 6;(10):CD004878. , , , et al.
- Efficacy of interventions for bronchiolitis in critically ill infants: a systematic review and meta‐analysis. Pediatr Crit Care Med. 2004;5:482–489. , , , .
- Direct medical costs of bronchiolitis hospitalizations in the United States. Pediatrics. 2006;118(6):2418–2423. , , .
- Evaluation of an evidence‐based guideline for bronchiolitis. Pediatrics. 1999;104(6):1334–1341. , , , et al.
- Standardizing the care of bronchiolitis. Arch Pediatr Adolesc Med. 1998;152(8):739–744. , , .
- Decreasing overuse of therapies in the treatment of bronchiolitis by incorporating evidence at the point of care. J Pediatr. 2004;144:703–710. , , , , , .
- Effect of point of care information on inpatient management of bronchiolitis. BMC Pediatr. 2007;7:4. , , , , , .
- A clinical pathway for bronchiolitis is effective in reducing readmission rates. J Pediatr. 2005;147:622–626. , , , et al.
- Sustaining the implementation of an evidence‐based guideline for bronchiolitis. Arch Pediatr Adolesc Med. 2000;154:1001–1007. , , , et al.
- Assessment of the French Consensus Conference for Acute Viral Bronchiolitis on outpatient management: progress between 2003 and 2008 [in French]. Arch Pediatr. 2010;17:125–131. , , , , , .
- Impact of a bronchiolitis guideline: a multisite demonstration project. Chest. 2002;121:1789–1797. , , , , , .
- Management of acute bronchiolitis: can evidence based guidelines alter clinical practice? Thorax. 2008;63:1103–1109. , , , .
- The “3 T's” roadmap to transform US health care: the “how” of high quality care. JAMA. 2008;299(19):2319–2321. , .
- The VIP Network. Available at: http://www.vipnetwork.webs.com. Accessed October 5, 2010.
- A story of success: continuous quality improvement in cystic fibrosis in the USA. Thorax. 2011;66:1106–1168. , .
- NICU practices and outcomes associated with 9 years of quality improvement collaboratives. Pediatrics. 2010;125:437–446. , , , , , .
- Quality improvement projects target health care‐associated infections: comparing virtual collaborative and toolkit approaches. J Hosp Med. 2011;6:271–278. , , , et al.
- Impact of consensus development conference guidelines on primary care of bronchiolitis: are national guidelines being followed? J Eval Clin Pract. 2007;13:651–656. , , , , .
- The savings illusion—why clinical quality improvement fails to deliver bottom‐line results. N Engl J Med. 2011;365:e48. , , , .
Copyright © 2012 Society of Hospital Medicine
Risk factors associated with nephrotoxicity in children receiving vancomycin?
Clinical question: What are the risk factors associated with nephrotoxicity in children receiving vancomycin?
Background: As rates of antimicrobial resistance increase for such common bacteria as Streptococcus pneumoniae and Staphylococcus aureus, vancomycin increasingly has been used in children. Notably, rates of serious methicillin-resistant Staphylococcus aureus (MRSA) infection have increased significantly, and aggressive vancomycin-dosing regimens have been recommended in these situations. Rates and risk factors associated with nephrotoxicity in children receiving vancomycin are not well-established.
Study design: Retrospective cohort study.
Setting: Tertiary-care children’s hospital.
Synopsis: Using a pharmacy database, which included comprehensive clinical and pharmacokinetic data, the records of 167 children from one week to 18 years of age were reviewed if they received at least 48 hours of vancomycin from December 2007 to April 2009. Nephrotoxicity was defined as an increase in the serum creatinine (SCr) of at least 0.5 mg/dL or a 50% increase in baseline SCr on at least two consecutive days. Average trough levels were calculated and categorized as high (≥15 mg/dL) or low (<15 mg/dL).
Significantly more patients in the high-trough group developed nephrotoxicity (28%) compared with the low-trough group (7%). After multivariable logistic regression analysis, patients with high trough concentrations, ICU stays, and furosemide administration were more likely to have nephrotoxicity.
This study replicates findings from the adult literature demonstrating an association between high vancomycin troughs and nephrotoxicity. It remains difficult to demonstrate causality given the use of indirect markers of vancomycin-induced renal injury, as well as the lack of a control group (particularly a group of similarly ill ICU patients). Nevertheless, the authors provide useful and detailed pharmacologic observations for patients who receive aggressive vancomycin dosing.
Bottom line: High vancomycin troughs are associated with nephrotoxicity.
Citation: McKamy S, Hernandez E, Jahng M, Moriwaki T, Deveikis A, Le J. Incidence and risk factors influencing the development of vancomycin nephrotoxicity in children. J Pediatr. 2011;158:422-426.
Reviewed by Pediatric Editor Mark Shen, MD, medical director of hospital medicine at Dell Children’s Medical Center, Austin, Texas.
Clinical question: What are the risk factors associated with nephrotoxicity in children receiving vancomycin?
Background: As rates of antimicrobial resistance increase for such common bacteria as Streptococcus pneumoniae and Staphylococcus aureus, vancomycin increasingly has been used in children. Notably, rates of serious methicillin-resistant Staphylococcus aureus (MRSA) infection have increased significantly, and aggressive vancomycin-dosing regimens have been recommended in these situations. Rates and risk factors associated with nephrotoxicity in children receiving vancomycin are not well-established.
Study design: Retrospective cohort study.
Setting: Tertiary-care children’s hospital.
Synopsis: Using a pharmacy database, which included comprehensive clinical and pharmacokinetic data, the records of 167 children from one week to 18 years of age were reviewed if they received at least 48 hours of vancomycin from December 2007 to April 2009. Nephrotoxicity was defined as an increase in the serum creatinine (SCr) of at least 0.5 mg/dL or a 50% increase in baseline SCr on at least two consecutive days. Average trough levels were calculated and categorized as high (≥15 mg/dL) or low (<15 mg/dL).
Significantly more patients in the high-trough group developed nephrotoxicity (28%) compared with the low-trough group (7%). After multivariable logistic regression analysis, patients with high trough concentrations, ICU stays, and furosemide administration were more likely to have nephrotoxicity.
This study replicates findings from the adult literature demonstrating an association between high vancomycin troughs and nephrotoxicity. It remains difficult to demonstrate causality given the use of indirect markers of vancomycin-induced renal injury, as well as the lack of a control group (particularly a group of similarly ill ICU patients). Nevertheless, the authors provide useful and detailed pharmacologic observations for patients who receive aggressive vancomycin dosing.
Bottom line: High vancomycin troughs are associated with nephrotoxicity.
Citation: McKamy S, Hernandez E, Jahng M, Moriwaki T, Deveikis A, Le J. Incidence and risk factors influencing the development of vancomycin nephrotoxicity in children. J Pediatr. 2011;158:422-426.
Reviewed by Pediatric Editor Mark Shen, MD, medical director of hospital medicine at Dell Children’s Medical Center, Austin, Texas.
Clinical question: What are the risk factors associated with nephrotoxicity in children receiving vancomycin?
Background: As rates of antimicrobial resistance increase for such common bacteria as Streptococcus pneumoniae and Staphylococcus aureus, vancomycin increasingly has been used in children. Notably, rates of serious methicillin-resistant Staphylococcus aureus (MRSA) infection have increased significantly, and aggressive vancomycin-dosing regimens have been recommended in these situations. Rates and risk factors associated with nephrotoxicity in children receiving vancomycin are not well-established.
Study design: Retrospective cohort study.
Setting: Tertiary-care children’s hospital.
Synopsis: Using a pharmacy database, which included comprehensive clinical and pharmacokinetic data, the records of 167 children from one week to 18 years of age were reviewed if they received at least 48 hours of vancomycin from December 2007 to April 2009. Nephrotoxicity was defined as an increase in the serum creatinine (SCr) of at least 0.5 mg/dL or a 50% increase in baseline SCr on at least two consecutive days. Average trough levels were calculated and categorized as high (≥15 mg/dL) or low (<15 mg/dL).
Significantly more patients in the high-trough group developed nephrotoxicity (28%) compared with the low-trough group (7%). After multivariable logistic regression analysis, patients with high trough concentrations, ICU stays, and furosemide administration were more likely to have nephrotoxicity.
This study replicates findings from the adult literature demonstrating an association between high vancomycin troughs and nephrotoxicity. It remains difficult to demonstrate causality given the use of indirect markers of vancomycin-induced renal injury, as well as the lack of a control group (particularly a group of similarly ill ICU patients). Nevertheless, the authors provide useful and detailed pharmacologic observations for patients who receive aggressive vancomycin dosing.
Bottom line: High vancomycin troughs are associated with nephrotoxicity.
Citation: McKamy S, Hernandez E, Jahng M, Moriwaki T, Deveikis A, Le J. Incidence and risk factors influencing the development of vancomycin nephrotoxicity in children. J Pediatr. 2011;158:422-426.
Reviewed by Pediatric Editor Mark Shen, MD, medical director of hospital medicine at Dell Children’s Medical Center, Austin, Texas.
Pediatric HM Literature Review
Clinical question: What is the relationship between duration of intravenous (IV) antibiotic therapy and treatment failure in infants <6 months of age hospitalized with urinary tract infections (UTIs)?
Background: There is an inadequate evidence base to drive decisions regarding duration of IV antibiotic therapy in young infants hospitalized with UTIs. Documented variability exists in length of stay (LOS) and resource utilization for these infants, which might be a direct result of practice variation with respect to IV therapy.
Study design: Retrospective cohort study.
Setting: Twenty-four freestanding children’s hospitals.
Synopsis: The Pediatric Health Information System (PHIS) administrative database was used to identify healthy infants <6 months of age admitted with a primary or secondary diagnosis of UTI or pyelonephritis from 1999 to 2004 to participating hospitals. Duration of IV therapy was defined as a dichotomous variable with three days (short course: three days) selected because it was the median length of therapy. Treatment failure was defined as readmission within 30 days.
More than 12,300 records were analyzed. Male gender, neonatal status, black race, Hispanic ethnicity, nonprivate insurance, severity of illness, known bacteremia, known genitourinary tract disorders, and specific hospital were independently associated with increased likelihood of long-course (four days) therapy.
Unadjusted analysis initially revealed that long-course therapy was significantly associated with a higher rate of treatment failure. After multivariate (to include propensity scores) adjustment, a significant association between treatment duration and failure was no longer identified. Treatment failure association with known genitourinary abnormalities and higher severity of illness remained.
A significant limitation of this study is the potential for multivariate analysis to fail to mitigate a bias toward sicker patients receiving longer duration of antibiotic therapy and, thus, having a higher likelihood of treatment failure. In addition, the greater question of when IV antibiotics (and hospital admission) are indicated in this population was not addressed by the study design.
Nonetheless, the data likely support a limited utility to long-course IV antibiotic therapy in this population. The study also adds to the evolving picture of considerable and widespread variation in physician practice.
Bottom line: Short-course IV therapy for infants with UTIs does not increase risk of treatment failure.
Citation: Brady PW, Conway PH, Goudie A. Length of intravenous antibiotic therapy and treatment failure in infants with urinary tract infections. Pediatrics. 2010;126(2):196-203.
Reviewed by Pediatric Editor Mark Shen, MD, medical director of hospital medicine at Dell Children’s Medical Center, Austin, Texas.
Clinical question: What is the relationship between duration of intravenous (IV) antibiotic therapy and treatment failure in infants <6 months of age hospitalized with urinary tract infections (UTIs)?
Background: There is an inadequate evidence base to drive decisions regarding duration of IV antibiotic therapy in young infants hospitalized with UTIs. Documented variability exists in length of stay (LOS) and resource utilization for these infants, which might be a direct result of practice variation with respect to IV therapy.
Study design: Retrospective cohort study.
Setting: Twenty-four freestanding children’s hospitals.
Synopsis: The Pediatric Health Information System (PHIS) administrative database was used to identify healthy infants <6 months of age admitted with a primary or secondary diagnosis of UTI or pyelonephritis from 1999 to 2004 to participating hospitals. Duration of IV therapy was defined as a dichotomous variable with three days (short course: three days) selected because it was the median length of therapy. Treatment failure was defined as readmission within 30 days.
More than 12,300 records were analyzed. Male gender, neonatal status, black race, Hispanic ethnicity, nonprivate insurance, severity of illness, known bacteremia, known genitourinary tract disorders, and specific hospital were independently associated with increased likelihood of long-course (four days) therapy.
Unadjusted analysis initially revealed that long-course therapy was significantly associated with a higher rate of treatment failure. After multivariate (to include propensity scores) adjustment, a significant association between treatment duration and failure was no longer identified. Treatment failure association with known genitourinary abnormalities and higher severity of illness remained.
A significant limitation of this study is the potential for multivariate analysis to fail to mitigate a bias toward sicker patients receiving longer duration of antibiotic therapy and, thus, having a higher likelihood of treatment failure. In addition, the greater question of when IV antibiotics (and hospital admission) are indicated in this population was not addressed by the study design.
Nonetheless, the data likely support a limited utility to long-course IV antibiotic therapy in this population. The study also adds to the evolving picture of considerable and widespread variation in physician practice.
Bottom line: Short-course IV therapy for infants with UTIs does not increase risk of treatment failure.
Citation: Brady PW, Conway PH, Goudie A. Length of intravenous antibiotic therapy and treatment failure in infants with urinary tract infections. Pediatrics. 2010;126(2):196-203.
Reviewed by Pediatric Editor Mark Shen, MD, medical director of hospital medicine at Dell Children’s Medical Center, Austin, Texas.
Clinical question: What is the relationship between duration of intravenous (IV) antibiotic therapy and treatment failure in infants <6 months of age hospitalized with urinary tract infections (UTIs)?
Background: There is an inadequate evidence base to drive decisions regarding duration of IV antibiotic therapy in young infants hospitalized with UTIs. Documented variability exists in length of stay (LOS) and resource utilization for these infants, which might be a direct result of practice variation with respect to IV therapy.
Study design: Retrospective cohort study.
Setting: Twenty-four freestanding children’s hospitals.
Synopsis: The Pediatric Health Information System (PHIS) administrative database was used to identify healthy infants <6 months of age admitted with a primary or secondary diagnosis of UTI or pyelonephritis from 1999 to 2004 to participating hospitals. Duration of IV therapy was defined as a dichotomous variable with three days (short course: three days) selected because it was the median length of therapy. Treatment failure was defined as readmission within 30 days.
More than 12,300 records were analyzed. Male gender, neonatal status, black race, Hispanic ethnicity, nonprivate insurance, severity of illness, known bacteremia, known genitourinary tract disorders, and specific hospital were independently associated with increased likelihood of long-course (four days) therapy.
Unadjusted analysis initially revealed that long-course therapy was significantly associated with a higher rate of treatment failure. After multivariate (to include propensity scores) adjustment, a significant association between treatment duration and failure was no longer identified. Treatment failure association with known genitourinary abnormalities and higher severity of illness remained.
A significant limitation of this study is the potential for multivariate analysis to fail to mitigate a bias toward sicker patients receiving longer duration of antibiotic therapy and, thus, having a higher likelihood of treatment failure. In addition, the greater question of when IV antibiotics (and hospital admission) are indicated in this population was not addressed by the study design.
Nonetheless, the data likely support a limited utility to long-course IV antibiotic therapy in this population. The study also adds to the evolving picture of considerable and widespread variation in physician practice.
Bottom line: Short-course IV therapy for infants with UTIs does not increase risk of treatment failure.
Citation: Brady PW, Conway PH, Goudie A. Length of intravenous antibiotic therapy and treatment failure in infants with urinary tract infections. Pediatrics. 2010;126(2):196-203.
Reviewed by Pediatric Editor Mark Shen, MD, medical director of hospital medicine at Dell Children’s Medical Center, Austin, Texas.
Gettin’ Dirty
Several months ago, my toilet broke. You should also know that I’m not particularly handy. So when I first realized that the toilet bowl seemed to fill constantly, I got a little stressed out.
How much was it going cost to call in a plumber on the weekend?
What kind of a water bill was I going to have?
Was this a serious problem?
I took a quick peek in the tank, but that just made me more confused. I was paralyzed by a lack of know-how.
Normally, I would have just Googled a local plumber. But that day, I decided to do something different. Maybe it was because it was the fantasy football offseason. Maybe it was because my wife had started to ask my father-in-law to change light bulbs around the house. Or, maybe, I wanted to learn to actually fix the problem. A few hours later, after an Internet lesson in toilet physiology, a $4.12 trip to Home Depot, and a wet pair of hands, I had replaced my first toilet flapper.
This wasn’t the rebuilding of a car engine, but it was a clear DIY step toward self-improvement. Easily the most memorable moment here was my sense of accomplishment.
I felt empowered.
One Part Science, One Part Art
It’s taken me a while to realize this, but I’ve begun to take advantage of improvement opportunities at work as well. No, I haven’t been moonlighting as a plumber for my hospital. I’ve just been fortunate to be part of a trifecta of rewarding quality-improvement (QI) projects over the past year. Before I’d gotten my hands dirty with these, my understanding of QI was fairly naive. I’d heard about Plan-Do-Study-Act many times. I had listened to a talk at a national conference. And I had kept up with the general medical literature on the subject.
But none of those activities had truly prepared me for experience of actually doing the work on my own.
By taking on a project, an ambitious attempt to reduce continuous pulse oximetry use, I experienced a crash course in both the science and the art of process improvement. I was forced to overcome my “I don’t know how” inertia. And with expert guidance in the form of a clinical safety and effectiveness class, I learned the importance of run charts (science) and a well-crafted multidisciplinary team (art) in changing established but inefficient behavior.
Our rates of continuous pulse oximetry usage dropped by 50%, and cost savings were $12,000 per year on one unit. These results made my prior attempts at change—years of complaining about ingrained nursing culture—look infantile. (OK, maybe it was ineffective, but who hasn’t complained about the overuse of continuous monitoring?)
I haven’t met a pediatric hospitalist who wouldn’t understand the symbolic importance of this success. But I know of many hospitalists who have not yet participated in meaningful QI project. Imagine calling a plumber who grasped the flush and fill mechanism of a toilet but had never touched real porcelain. Here’s an even better analogy: What if doctors could get licensed without having touched real patients?
If pediatric hospitalists are to transform the care delivery of hospitalized children, and quality learning only comes through hands-on training, then we need some more hands in the pot.
Discharge Improvement
On the heels of my first project, I was fortunate enough to augment my education through another effort—this time with a cohort of fellow pediatric hospitalists. This was a national collaborative to improve discharge handoffs, and I will admit that, at the outset, I was as puzzled as the first time I pulled the lid off the tank of the toilet. There were just too many permutations on PCP communication at the participating institutions, and some felt our aim of timely discharge handoffs was unattainable.
What carried me through, however, was the collective and infectious DIY—no, QIY (Quality Improve-it-Yourself) attitude of the group. We were all learning, and regular participation in the collaborative essentially guaranteed improvement. We achieved our aim of 90% communication with PCPs within two days of discharge. The secret was simple: The more you do, the more you learn.
Pediatric hospitalists can transform care delivery through a focus on safe and quality care, but the tools to accomplish this must come through post-residency, on-the-job learning. This QI know-how must efficiently spread among our ranks through practical and project-based educational efforts. It’s “see one, do one, teach one,” but we’re not talking about lumbar punctures anymore.
This is a journey in which we all take on the responsibility of rolling up our sleeves and simply learn by doing. And here is where the third leg of my as-yet-unfinished QI course unfolds.
Through my involvement with the Value in Inpatient Pediatrics (VIP) Network, I’ve gained a newfound vision for what the future might hold. VIP has evolved from a benchmarking project focused on bronchiolitis to an improvement network that will incorporate projects similar to the discharge handoff collaborative above.
In the process, a model for how to rapidly spread QI learning has emerged. The capacity lies in the network’s rapidly growing connectivity. The power comes from the individuals: motivated, card-carrying pediatric hospitalists from a wide array of sites. Collaborative learning harbors the potential to exponentially increase the pace at which we improve.
The future of our quality care is bright. I see an open network of improvement doers and learners. I see collaboration on quality and safety initiatives in all manner of hospitals and communities. I see that this will all be built upon a foundation of hard work and a QIY attitude.
You, too, will play a role.
Just don’t be afraid to get your hands a little dirty. TH
Dr. Shen is medical director of hospital medicine at Dell Children’s Medical Center in Austin, Texas. He is pediatric editor of The Hospitalist.
Several months ago, my toilet broke. You should also know that I’m not particularly handy. So when I first realized that the toilet bowl seemed to fill constantly, I got a little stressed out.
How much was it going cost to call in a plumber on the weekend?
What kind of a water bill was I going to have?
Was this a serious problem?
I took a quick peek in the tank, but that just made me more confused. I was paralyzed by a lack of know-how.
Normally, I would have just Googled a local plumber. But that day, I decided to do something different. Maybe it was because it was the fantasy football offseason. Maybe it was because my wife had started to ask my father-in-law to change light bulbs around the house. Or, maybe, I wanted to learn to actually fix the problem. A few hours later, after an Internet lesson in toilet physiology, a $4.12 trip to Home Depot, and a wet pair of hands, I had replaced my first toilet flapper.
This wasn’t the rebuilding of a car engine, but it was a clear DIY step toward self-improvement. Easily the most memorable moment here was my sense of accomplishment.
I felt empowered.
One Part Science, One Part Art
It’s taken me a while to realize this, but I’ve begun to take advantage of improvement opportunities at work as well. No, I haven’t been moonlighting as a plumber for my hospital. I’ve just been fortunate to be part of a trifecta of rewarding quality-improvement (QI) projects over the past year. Before I’d gotten my hands dirty with these, my understanding of QI was fairly naive. I’d heard about Plan-Do-Study-Act many times. I had listened to a talk at a national conference. And I had kept up with the general medical literature on the subject.
But none of those activities had truly prepared me for experience of actually doing the work on my own.
By taking on a project, an ambitious attempt to reduce continuous pulse oximetry use, I experienced a crash course in both the science and the art of process improvement. I was forced to overcome my “I don’t know how” inertia. And with expert guidance in the form of a clinical safety and effectiveness class, I learned the importance of run charts (science) and a well-crafted multidisciplinary team (art) in changing established but inefficient behavior.
Our rates of continuous pulse oximetry usage dropped by 50%, and cost savings were $12,000 per year on one unit. These results made my prior attempts at change—years of complaining about ingrained nursing culture—look infantile. (OK, maybe it was ineffective, but who hasn’t complained about the overuse of continuous monitoring?)
I haven’t met a pediatric hospitalist who wouldn’t understand the symbolic importance of this success. But I know of many hospitalists who have not yet participated in meaningful QI project. Imagine calling a plumber who grasped the flush and fill mechanism of a toilet but had never touched real porcelain. Here’s an even better analogy: What if doctors could get licensed without having touched real patients?
If pediatric hospitalists are to transform the care delivery of hospitalized children, and quality learning only comes through hands-on training, then we need some more hands in the pot.
Discharge Improvement
On the heels of my first project, I was fortunate enough to augment my education through another effort—this time with a cohort of fellow pediatric hospitalists. This was a national collaborative to improve discharge handoffs, and I will admit that, at the outset, I was as puzzled as the first time I pulled the lid off the tank of the toilet. There were just too many permutations on PCP communication at the participating institutions, and some felt our aim of timely discharge handoffs was unattainable.
What carried me through, however, was the collective and infectious DIY—no, QIY (Quality Improve-it-Yourself) attitude of the group. We were all learning, and regular participation in the collaborative essentially guaranteed improvement. We achieved our aim of 90% communication with PCPs within two days of discharge. The secret was simple: The more you do, the more you learn.
Pediatric hospitalists can transform care delivery through a focus on safe and quality care, but the tools to accomplish this must come through post-residency, on-the-job learning. This QI know-how must efficiently spread among our ranks through practical and project-based educational efforts. It’s “see one, do one, teach one,” but we’re not talking about lumbar punctures anymore.
This is a journey in which we all take on the responsibility of rolling up our sleeves and simply learn by doing. And here is where the third leg of my as-yet-unfinished QI course unfolds.
Through my involvement with the Value in Inpatient Pediatrics (VIP) Network, I’ve gained a newfound vision for what the future might hold. VIP has evolved from a benchmarking project focused on bronchiolitis to an improvement network that will incorporate projects similar to the discharge handoff collaborative above.
In the process, a model for how to rapidly spread QI learning has emerged. The capacity lies in the network’s rapidly growing connectivity. The power comes from the individuals: motivated, card-carrying pediatric hospitalists from a wide array of sites. Collaborative learning harbors the potential to exponentially increase the pace at which we improve.
The future of our quality care is bright. I see an open network of improvement doers and learners. I see collaboration on quality and safety initiatives in all manner of hospitals and communities. I see that this will all be built upon a foundation of hard work and a QIY attitude.
You, too, will play a role.
Just don’t be afraid to get your hands a little dirty. TH
Dr. Shen is medical director of hospital medicine at Dell Children’s Medical Center in Austin, Texas. He is pediatric editor of The Hospitalist.
Several months ago, my toilet broke. You should also know that I’m not particularly handy. So when I first realized that the toilet bowl seemed to fill constantly, I got a little stressed out.
How much was it going cost to call in a plumber on the weekend?
What kind of a water bill was I going to have?
Was this a serious problem?
I took a quick peek in the tank, but that just made me more confused. I was paralyzed by a lack of know-how.
Normally, I would have just Googled a local plumber. But that day, I decided to do something different. Maybe it was because it was the fantasy football offseason. Maybe it was because my wife had started to ask my father-in-law to change light bulbs around the house. Or, maybe, I wanted to learn to actually fix the problem. A few hours later, after an Internet lesson in toilet physiology, a $4.12 trip to Home Depot, and a wet pair of hands, I had replaced my first toilet flapper.
This wasn’t the rebuilding of a car engine, but it was a clear DIY step toward self-improvement. Easily the most memorable moment here was my sense of accomplishment.
I felt empowered.
One Part Science, One Part Art
It’s taken me a while to realize this, but I’ve begun to take advantage of improvement opportunities at work as well. No, I haven’t been moonlighting as a plumber for my hospital. I’ve just been fortunate to be part of a trifecta of rewarding quality-improvement (QI) projects over the past year. Before I’d gotten my hands dirty with these, my understanding of QI was fairly naive. I’d heard about Plan-Do-Study-Act many times. I had listened to a talk at a national conference. And I had kept up with the general medical literature on the subject.
But none of those activities had truly prepared me for experience of actually doing the work on my own.
By taking on a project, an ambitious attempt to reduce continuous pulse oximetry use, I experienced a crash course in both the science and the art of process improvement. I was forced to overcome my “I don’t know how” inertia. And with expert guidance in the form of a clinical safety and effectiveness class, I learned the importance of run charts (science) and a well-crafted multidisciplinary team (art) in changing established but inefficient behavior.
Our rates of continuous pulse oximetry usage dropped by 50%, and cost savings were $12,000 per year on one unit. These results made my prior attempts at change—years of complaining about ingrained nursing culture—look infantile. (OK, maybe it was ineffective, but who hasn’t complained about the overuse of continuous monitoring?)
I haven’t met a pediatric hospitalist who wouldn’t understand the symbolic importance of this success. But I know of many hospitalists who have not yet participated in meaningful QI project. Imagine calling a plumber who grasped the flush and fill mechanism of a toilet but had never touched real porcelain. Here’s an even better analogy: What if doctors could get licensed without having touched real patients?
If pediatric hospitalists are to transform the care delivery of hospitalized children, and quality learning only comes through hands-on training, then we need some more hands in the pot.
Discharge Improvement
On the heels of my first project, I was fortunate enough to augment my education through another effort—this time with a cohort of fellow pediatric hospitalists. This was a national collaborative to improve discharge handoffs, and I will admit that, at the outset, I was as puzzled as the first time I pulled the lid off the tank of the toilet. There were just too many permutations on PCP communication at the participating institutions, and some felt our aim of timely discharge handoffs was unattainable.
What carried me through, however, was the collective and infectious DIY—no, QIY (Quality Improve-it-Yourself) attitude of the group. We were all learning, and regular participation in the collaborative essentially guaranteed improvement. We achieved our aim of 90% communication with PCPs within two days of discharge. The secret was simple: The more you do, the more you learn.
Pediatric hospitalists can transform care delivery through a focus on safe and quality care, but the tools to accomplish this must come through post-residency, on-the-job learning. This QI know-how must efficiently spread among our ranks through practical and project-based educational efforts. It’s “see one, do one, teach one,” but we’re not talking about lumbar punctures anymore.
This is a journey in which we all take on the responsibility of rolling up our sleeves and simply learn by doing. And here is where the third leg of my as-yet-unfinished QI course unfolds.
Through my involvement with the Value in Inpatient Pediatrics (VIP) Network, I’ve gained a newfound vision for what the future might hold. VIP has evolved from a benchmarking project focused on bronchiolitis to an improvement network that will incorporate projects similar to the discharge handoff collaborative above.
In the process, a model for how to rapidly spread QI learning has emerged. The capacity lies in the network’s rapidly growing connectivity. The power comes from the individuals: motivated, card-carrying pediatric hospitalists from a wide array of sites. Collaborative learning harbors the potential to exponentially increase the pace at which we improve.
The future of our quality care is bright. I see an open network of improvement doers and learners. I see collaboration on quality and safety initiatives in all manner of hospitals and communities. I see that this will all be built upon a foundation of hard work and a QIY attitude.
You, too, will play a role.
Just don’t be afraid to get your hands a little dirty. TH
Dr. Shen is medical director of hospital medicine at Dell Children’s Medical Center in Austin, Texas. He is pediatric editor of The Hospitalist.
To Vary Is Human …
Just a few years ago, if I had been asked to comment on variation in healthcare, I would have said it needed a fundraising event for awareness, or even a respected celebrity patron—maybe Sandra Bullock decrying unnecessary variation on Oprah. Fortunately, more socially influential forces evolved. In a relatively short (from a cultural perspective) span of time, variation has emerged to become standard water-cooler talk amongst physicians and politicians alike.
Although the first analysis of medical variation surfaced in 1938, it wasn’t until Wennberg and Gittelsohn’s seminal paper that our collective medical consciousness emerged.1 Wennberg noted that if his children had simply gone to school in the neighboring district of Stowe, Vt., they would have had a 70% chance of having a tonsillectomy, as opposed to a 20% chance in their chosen district of Waterbury. Decades later, that work is the foundation of the Dartmouth Atlas project, which has turned its lenses toward unexplained variation in the costs of healthcare.
Meanwhile, in a parallel—nonmedical—universe, two engineer-statisticians were busy refining quality-control theory in the late 1930s. Shewhart developed the PDCA (plan-do-check-act) cycle, and Deming took it to Japan, revolutionizing that country’s manufacturing industry. They recognized that unwarranted variations were key quality constraints in any process, and that sustained improvements in outcomes could be attained only through careful analysis and control of this variation.
Hospital Variation and Application
Following the Institute of Medicine’s landmark report a decade ago, these fields of study explicitly converged, and variation began to emerge as a key player in healthcare quality discussions. Sprinkle in a few more ingredients—such as the looming cliff that is Medicare insolvency, a failing economy, and Atul Gawande’s uncloaking of McAllen, Texas—and the transformation of the Kool-Aid is now complete.
A fortunate (or unfortunate, depending on your perspective) byproduct of these analyses has been that physicians are at the sharp end of the most important yet variable decisions in medicine. Why are doctors so different in their practices? The short answer is that we’re human; the long answer is that, well, we’re human.
In complex settings, the literature on medical decision-making tells us that we humans simply are not wired to process more than three to five different options at any one time. Even rocket scientists might disagree if they regularly encountered large boluses of clinical data in the face of an ever-exploding body of knowledge. When we dissect the more straightforward daily decisions, the complexity of the human persona then becomes an overlay with as much variability and heterogeneity as our own genetic makeup.
The Simple Life
The late John Eisenberg, in a book titled Doctors’ Decisions and the Cost of Medical Care, lists a dizzying array of reasons behind physician decision-making: experience, risk tolerance, practice style, incentives, and concept of social good, to name a few.2 Each of these domains could be a unique area of study—just for each individual human practitioner. In an era of genomic medicine, the strongest predictor of the phenotypic quality of care might simply be the genotype of the physician.
This is not a revelation for anyone who has ever questioned another physician’s care. My guess is that it’s been less than a week for most of us. After all, we’re hospitalists, perfectly perched as second-tier providers to judge other physicians’ care. We are air-traffic control for doctors’ decisions, and it’s quite a scene: thousands of independent physicians practicing on isolated islands. Like “outside EDs,” some of these habitats appear quite a bit more aboriginal and remote than others. Now, I will admit that I’ve often dreamed of practicing on an isolated, single-palm-tree island. Armed with only a coconut (my patient) and evidence-based medicine, this would be an overdue retreat from the chaotic morass of illogical (i.e., different from my own) medical decisions.
But it is exactly this reaction that provides clues to our current state. No one prepared us for the fact that healthcare delivery is a social science, so frustration and avoidance are merely natural reflections of our immaturity. If we did receive any coaching, it tended to be of the Monday-morning-quarterback school, autocratic and self-serving in nature. We were trained to critique only the finer details of scientific “fact,” not humans in context. How, then, are we to improve our care when we can barely handle the variation?
Advanced Concepts
Adapting a Darwinian perspective, we might hunt out the highly developed and advanced tribes in our midst. One such tribe is pediatric oncology. For decades, almost all variation in pediatric oncology has been controlled through treatment protocols tailored to the particular risk factors of the patient, not the physician. Although this ostensibly improves quality of care, it has had an even greater impact on learning and eventual outcomes.
For this reason and this reason alone, if your 18-year-old child develops leukemia, you probably want to send them to a pediatric oncologist rather than an adult oncologist.7 Survival rates are better because pediatric oncologists have been able to rapidly learn from the enrollment of almost all patients into trials with standardized treatment protocols. By collecting data on a limited number of options and sharing information across practices, true rapid-cycle improvement has materialized.
The key here is not the degree of standardization or the creation of large-scale research networks. It is the extent to which independent practitioners are able to sacrifice their individual beliefs in order to partner for the greater good. Growth and learning do not occur in isolation. A team-based approach, in the setting of standardization and measurement, will accelerate the pace of our evolution. Think about this the next time you feel like throwing a coconut at the infectious-disease consultant who dares cross your island of practice. For if it is human to vary, then only through collaboration may we truly divine. TH
Dr. Shen is The Hospitalist’s pediatric editor. Read his monthly review of pediatric research in our “In the Literature” section (see p. 16).
References
- Wennberg J, Gittelsohn. Small area variations in health care delivery. Science. 1973:182(117):1102-1108.
- Eisenberg JM. Doctors’ Decisions and the Cost of Medical Care: The Reasons for Doctor’s Practice Patterns and Ways to Change Them. Chicago: Health Administration Press; 1986.
Just a few years ago, if I had been asked to comment on variation in healthcare, I would have said it needed a fundraising event for awareness, or even a respected celebrity patron—maybe Sandra Bullock decrying unnecessary variation on Oprah. Fortunately, more socially influential forces evolved. In a relatively short (from a cultural perspective) span of time, variation has emerged to become standard water-cooler talk amongst physicians and politicians alike.
Although the first analysis of medical variation surfaced in 1938, it wasn’t until Wennberg and Gittelsohn’s seminal paper that our collective medical consciousness emerged.1 Wennberg noted that if his children had simply gone to school in the neighboring district of Stowe, Vt., they would have had a 70% chance of having a tonsillectomy, as opposed to a 20% chance in their chosen district of Waterbury. Decades later, that work is the foundation of the Dartmouth Atlas project, which has turned its lenses toward unexplained variation in the costs of healthcare.
Meanwhile, in a parallel—nonmedical—universe, two engineer-statisticians were busy refining quality-control theory in the late 1930s. Shewhart developed the PDCA (plan-do-check-act) cycle, and Deming took it to Japan, revolutionizing that country’s manufacturing industry. They recognized that unwarranted variations were key quality constraints in any process, and that sustained improvements in outcomes could be attained only through careful analysis and control of this variation.
Hospital Variation and Application
Following the Institute of Medicine’s landmark report a decade ago, these fields of study explicitly converged, and variation began to emerge as a key player in healthcare quality discussions. Sprinkle in a few more ingredients—such as the looming cliff that is Medicare insolvency, a failing economy, and Atul Gawande’s uncloaking of McAllen, Texas—and the transformation of the Kool-Aid is now complete.
A fortunate (or unfortunate, depending on your perspective) byproduct of these analyses has been that physicians are at the sharp end of the most important yet variable decisions in medicine. Why are doctors so different in their practices? The short answer is that we’re human; the long answer is that, well, we’re human.
In complex settings, the literature on medical decision-making tells us that we humans simply are not wired to process more than three to five different options at any one time. Even rocket scientists might disagree if they regularly encountered large boluses of clinical data in the face of an ever-exploding body of knowledge. When we dissect the more straightforward daily decisions, the complexity of the human persona then becomes an overlay with as much variability and heterogeneity as our own genetic makeup.
The Simple Life
The late John Eisenberg, in a book titled Doctors’ Decisions and the Cost of Medical Care, lists a dizzying array of reasons behind physician decision-making: experience, risk tolerance, practice style, incentives, and concept of social good, to name a few.2 Each of these domains could be a unique area of study—just for each individual human practitioner. In an era of genomic medicine, the strongest predictor of the phenotypic quality of care might simply be the genotype of the physician.
This is not a revelation for anyone who has ever questioned another physician’s care. My guess is that it’s been less than a week for most of us. After all, we’re hospitalists, perfectly perched as second-tier providers to judge other physicians’ care. We are air-traffic control for doctors’ decisions, and it’s quite a scene: thousands of independent physicians practicing on isolated islands. Like “outside EDs,” some of these habitats appear quite a bit more aboriginal and remote than others. Now, I will admit that I’ve often dreamed of practicing on an isolated, single-palm-tree island. Armed with only a coconut (my patient) and evidence-based medicine, this would be an overdue retreat from the chaotic morass of illogical (i.e., different from my own) medical decisions.
But it is exactly this reaction that provides clues to our current state. No one prepared us for the fact that healthcare delivery is a social science, so frustration and avoidance are merely natural reflections of our immaturity. If we did receive any coaching, it tended to be of the Monday-morning-quarterback school, autocratic and self-serving in nature. We were trained to critique only the finer details of scientific “fact,” not humans in context. How, then, are we to improve our care when we can barely handle the variation?
Advanced Concepts
Adapting a Darwinian perspective, we might hunt out the highly developed and advanced tribes in our midst. One such tribe is pediatric oncology. For decades, almost all variation in pediatric oncology has been controlled through treatment protocols tailored to the particular risk factors of the patient, not the physician. Although this ostensibly improves quality of care, it has had an even greater impact on learning and eventual outcomes.
For this reason and this reason alone, if your 18-year-old child develops leukemia, you probably want to send them to a pediatric oncologist rather than an adult oncologist.7 Survival rates are better because pediatric oncologists have been able to rapidly learn from the enrollment of almost all patients into trials with standardized treatment protocols. By collecting data on a limited number of options and sharing information across practices, true rapid-cycle improvement has materialized.
The key here is not the degree of standardization or the creation of large-scale research networks. It is the extent to which independent practitioners are able to sacrifice their individual beliefs in order to partner for the greater good. Growth and learning do not occur in isolation. A team-based approach, in the setting of standardization and measurement, will accelerate the pace of our evolution. Think about this the next time you feel like throwing a coconut at the infectious-disease consultant who dares cross your island of practice. For if it is human to vary, then only through collaboration may we truly divine. TH
Dr. Shen is The Hospitalist’s pediatric editor. Read his monthly review of pediatric research in our “In the Literature” section (see p. 16).
References
- Wennberg J, Gittelsohn. Small area variations in health care delivery. Science. 1973:182(117):1102-1108.
- Eisenberg JM. Doctors’ Decisions and the Cost of Medical Care: The Reasons for Doctor’s Practice Patterns and Ways to Change Them. Chicago: Health Administration Press; 1986.
Just a few years ago, if I had been asked to comment on variation in healthcare, I would have said it needed a fundraising event for awareness, or even a respected celebrity patron—maybe Sandra Bullock decrying unnecessary variation on Oprah. Fortunately, more socially influential forces evolved. In a relatively short (from a cultural perspective) span of time, variation has emerged to become standard water-cooler talk amongst physicians and politicians alike.
Although the first analysis of medical variation surfaced in 1938, it wasn’t until Wennberg and Gittelsohn’s seminal paper that our collective medical consciousness emerged.1 Wennberg noted that if his children had simply gone to school in the neighboring district of Stowe, Vt., they would have had a 70% chance of having a tonsillectomy, as opposed to a 20% chance in their chosen district of Waterbury. Decades later, that work is the foundation of the Dartmouth Atlas project, which has turned its lenses toward unexplained variation in the costs of healthcare.
Meanwhile, in a parallel—nonmedical—universe, two engineer-statisticians were busy refining quality-control theory in the late 1930s. Shewhart developed the PDCA (plan-do-check-act) cycle, and Deming took it to Japan, revolutionizing that country’s manufacturing industry. They recognized that unwarranted variations were key quality constraints in any process, and that sustained improvements in outcomes could be attained only through careful analysis and control of this variation.
Hospital Variation and Application
Following the Institute of Medicine’s landmark report a decade ago, these fields of study explicitly converged, and variation began to emerge as a key player in healthcare quality discussions. Sprinkle in a few more ingredients—such as the looming cliff that is Medicare insolvency, a failing economy, and Atul Gawande’s uncloaking of McAllen, Texas—and the transformation of the Kool-Aid is now complete.
A fortunate (or unfortunate, depending on your perspective) byproduct of these analyses has been that physicians are at the sharp end of the most important yet variable decisions in medicine. Why are doctors so different in their practices? The short answer is that we’re human; the long answer is that, well, we’re human.
In complex settings, the literature on medical decision-making tells us that we humans simply are not wired to process more than three to five different options at any one time. Even rocket scientists might disagree if they regularly encountered large boluses of clinical data in the face of an ever-exploding body of knowledge. When we dissect the more straightforward daily decisions, the complexity of the human persona then becomes an overlay with as much variability and heterogeneity as our own genetic makeup.
The Simple Life
The late John Eisenberg, in a book titled Doctors’ Decisions and the Cost of Medical Care, lists a dizzying array of reasons behind physician decision-making: experience, risk tolerance, practice style, incentives, and concept of social good, to name a few.2 Each of these domains could be a unique area of study—just for each individual human practitioner. In an era of genomic medicine, the strongest predictor of the phenotypic quality of care might simply be the genotype of the physician.
This is not a revelation for anyone who has ever questioned another physician’s care. My guess is that it’s been less than a week for most of us. After all, we’re hospitalists, perfectly perched as second-tier providers to judge other physicians’ care. We are air-traffic control for doctors’ decisions, and it’s quite a scene: thousands of independent physicians practicing on isolated islands. Like “outside EDs,” some of these habitats appear quite a bit more aboriginal and remote than others. Now, I will admit that I’ve often dreamed of practicing on an isolated, single-palm-tree island. Armed with only a coconut (my patient) and evidence-based medicine, this would be an overdue retreat from the chaotic morass of illogical (i.e., different from my own) medical decisions.
But it is exactly this reaction that provides clues to our current state. No one prepared us for the fact that healthcare delivery is a social science, so frustration and avoidance are merely natural reflections of our immaturity. If we did receive any coaching, it tended to be of the Monday-morning-quarterback school, autocratic and self-serving in nature. We were trained to critique only the finer details of scientific “fact,” not humans in context. How, then, are we to improve our care when we can barely handle the variation?
Advanced Concepts
Adapting a Darwinian perspective, we might hunt out the highly developed and advanced tribes in our midst. One such tribe is pediatric oncology. For decades, almost all variation in pediatric oncology has been controlled through treatment protocols tailored to the particular risk factors of the patient, not the physician. Although this ostensibly improves quality of care, it has had an even greater impact on learning and eventual outcomes.
For this reason and this reason alone, if your 18-year-old child develops leukemia, you probably want to send them to a pediatric oncologist rather than an adult oncologist.7 Survival rates are better because pediatric oncologists have been able to rapidly learn from the enrollment of almost all patients into trials with standardized treatment protocols. By collecting data on a limited number of options and sharing information across practices, true rapid-cycle improvement has materialized.
The key here is not the degree of standardization or the creation of large-scale research networks. It is the extent to which independent practitioners are able to sacrifice their individual beliefs in order to partner for the greater good. Growth and learning do not occur in isolation. A team-based approach, in the setting of standardization and measurement, will accelerate the pace of our evolution. Think about this the next time you feel like throwing a coconut at the infectious-disease consultant who dares cross your island of practice. For if it is human to vary, then only through collaboration may we truly divine. TH
Dr. Shen is The Hospitalist’s pediatric editor. Read his monthly review of pediatric research in our “In the Literature” section (see p. 16).
References
- Wennberg J, Gittelsohn. Small area variations in health care delivery. Science. 1973:182(117):1102-1108.
- Eisenberg JM. Doctors’ Decisions and the Cost of Medical Care: The Reasons for Doctor’s Practice Patterns and Ways to Change Them. Chicago: Health Administration Press; 1986.
Core Competencies Lay Pediatric HM Foundation
NATIONAL HARBOR, Md. HM10 kicked off with a pediatric hospitalist leading the way. Patrick Conway, MD, MSc, a chief medical officer with the U.S. Department of Health and Human Services, and one of pediatric HM’s own, was a part of the opening panel discussion that reviewed the implications of healthcare reform. And as the pediatric track coursed over the next two days, amidst the hustle and bustle of value-laden content, the final pediatric presentation just might have escaped routine notice.
Two days after its electronic release, a live preview of the “Pediatric Hospital Medicine Core Competencies” debuted at HM 2010.1 (The core competencies were printed as a supplement in the April issue of the Journal of Hospital Medicine.)
Mary Ottolini, MD, of Children’s National Medical Center in Washington, D.C., graciously thanked Erin Stucky, MD, Rady Children’s Hospital in San Diego, and Jennifer Maniscalco, MD, Children’s Hospital in Los Angeles, for their collaboration in the core competencies effort, which represented the culmination of years of perseverance and dedication. The core competencies underwent a rigorous development and review process; notably, draft copies were sent to more than 30 academic and certifying societies and stakeholder agencies for input. Vibrant discussion ensued as pediatric, family practice, and med-ped hospitalists engaged in both thoughtful reflection and optimistic forecasts of the relevance and utility of a practical framework to define the field.
These guidelines, however, are just the beginning. Much dialogue centered on the future role of the core competencies in such arenas as education and professional development. It became clear that work remains if pediatric hospitalists are to make the best use of this sentinel publication.
Nonetheless, this journey that is the advancement of a vibrant—and now well-defined—field of medicine has a stellar launching pad from which to take flight. HM10
Dr. Shen is a pediatric hospitalist and director of the hospital medicine program at Dell Children’s Hospital in Austin, Texas.
Reference
- Stucky ER, Maniscalco J, Ottolini MC, et al. The pediatric hospital medicine core competencies. J Hosp Med. 2010;5(S2):1-82.
NATIONAL HARBOR, Md. HM10 kicked off with a pediatric hospitalist leading the way. Patrick Conway, MD, MSc, a chief medical officer with the U.S. Department of Health and Human Services, and one of pediatric HM’s own, was a part of the opening panel discussion that reviewed the implications of healthcare reform. And as the pediatric track coursed over the next two days, amidst the hustle and bustle of value-laden content, the final pediatric presentation just might have escaped routine notice.
Two days after its electronic release, a live preview of the “Pediatric Hospital Medicine Core Competencies” debuted at HM 2010.1 (The core competencies were printed as a supplement in the April issue of the Journal of Hospital Medicine.)
Mary Ottolini, MD, of Children’s National Medical Center in Washington, D.C., graciously thanked Erin Stucky, MD, Rady Children’s Hospital in San Diego, and Jennifer Maniscalco, MD, Children’s Hospital in Los Angeles, for their collaboration in the core competencies effort, which represented the culmination of years of perseverance and dedication. The core competencies underwent a rigorous development and review process; notably, draft copies were sent to more than 30 academic and certifying societies and stakeholder agencies for input. Vibrant discussion ensued as pediatric, family practice, and med-ped hospitalists engaged in both thoughtful reflection and optimistic forecasts of the relevance and utility of a practical framework to define the field.
These guidelines, however, are just the beginning. Much dialogue centered on the future role of the core competencies in such arenas as education and professional development. It became clear that work remains if pediatric hospitalists are to make the best use of this sentinel publication.
Nonetheless, this journey that is the advancement of a vibrant—and now well-defined—field of medicine has a stellar launching pad from which to take flight. HM10
Dr. Shen is a pediatric hospitalist and director of the hospital medicine program at Dell Children’s Hospital in Austin, Texas.
Reference
- Stucky ER, Maniscalco J, Ottolini MC, et al. The pediatric hospital medicine core competencies. J Hosp Med. 2010;5(S2):1-82.
NATIONAL HARBOR, Md. HM10 kicked off with a pediatric hospitalist leading the way. Patrick Conway, MD, MSc, a chief medical officer with the U.S. Department of Health and Human Services, and one of pediatric HM’s own, was a part of the opening panel discussion that reviewed the implications of healthcare reform. And as the pediatric track coursed over the next two days, amidst the hustle and bustle of value-laden content, the final pediatric presentation just might have escaped routine notice.
Two days after its electronic release, a live preview of the “Pediatric Hospital Medicine Core Competencies” debuted at HM 2010.1 (The core competencies were printed as a supplement in the April issue of the Journal of Hospital Medicine.)
Mary Ottolini, MD, of Children’s National Medical Center in Washington, D.C., graciously thanked Erin Stucky, MD, Rady Children’s Hospital in San Diego, and Jennifer Maniscalco, MD, Children’s Hospital in Los Angeles, for their collaboration in the core competencies effort, which represented the culmination of years of perseverance and dedication. The core competencies underwent a rigorous development and review process; notably, draft copies were sent to more than 30 academic and certifying societies and stakeholder agencies for input. Vibrant discussion ensued as pediatric, family practice, and med-ped hospitalists engaged in both thoughtful reflection and optimistic forecasts of the relevance and utility of a practical framework to define the field.
These guidelines, however, are just the beginning. Much dialogue centered on the future role of the core competencies in such arenas as education and professional development. It became clear that work remains if pediatric hospitalists are to make the best use of this sentinel publication.
Nonetheless, this journey that is the advancement of a vibrant—and now well-defined—field of medicine has a stellar launching pad from which to take flight. HM10
Dr. Shen is a pediatric hospitalist and director of the hospital medicine program at Dell Children’s Hospital in Austin, Texas.
Reference
- Stucky ER, Maniscalco J, Ottolini MC, et al. The pediatric hospital medicine core competencies. J Hosp Med. 2010;5(S2):1-82.