Performance of health care service area definitions for capturing variation in inpatient care and social determinants of health.

OBJECTIVE: To quantify the degree to which health care service area (HCSA) definitions captured hospitalizations and heterogeneity in social determinants of health (SDOH). DATA SOURCES AND STUDY SETTING: Geospatial data from the Centers for Medicare and Medicaid Services, the Census Bureau, and the Dartmouth Institute. Drive-time isochrones from MapBox. Area Deprivation Index (ADI) data. 2017 inpatient discharge data from Arizona, Florida, Iowa, Maryland, Nebraska, New Jersey, New York, and Wisconsin, State Emergency Department Databases and State Inpatient Databases, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality; and Fee-For-Service Medicare data in 48 states. STUDY DESIGN: Cross-sectional, descriptive analysis. DATA COLLECTION/EXTRACTION METHODS: The capture rate was the percentage of inpatient discharges occurring in the same HCSA as the hospital. We compared capture rates for each HCSA definition for different populations and by hospital type. We measured SDOH heterogeneity using the coefficient of variation of the ADI among ZIP codes within each HCSA. PRINCIPAL FINDINGS: HCSA definitions captured a wide range of inpatient discharges, ranging from 20% to 50% for Public Use Microdata Areas (PUMAs) to 93%-97% for Metropolitan Statistical Areas (MSAs). Three-quarters of inpatient discharges were from facilities within the same county as the patient's residential ZIP code, while nearly two-thirds were within the same Hospital Service Area. From the hospital perspective, 74.7% of inpatient discharges originated from within a 30-min drive and 90.1% within a 60-min drive. Capture rates were the lowest for teaching hospitals. PUMAs and drive-time-based HCSAs encompassed more homogenous populations while MSAs, Commuting Zones, and Hospital Referral Regions captured the most variation. CONCLUSIONS: The proportion of hospital discharges captured by each HCSA varied, with MSAs capturing the highest proportion of discharges and PUMAs capturing the lowest. Additionally, researchers face a trade-off between capture rate and population homogeneity when deciding which HCSA to use.

Cost and Late Hospital Care of Publicly Insured Children After Appendectomy.

INTRODUCTION: Immediate complications of appendicitis are common, but the prevalence of long-term complications is uncertain. METHODS: We studied all publicly-insured children in the US with uncomplicated or complicated appendicitis in 2018-2019 using administrative claims. The main outcome was late hospital care defined as hospitalization or abdominal procedure within 180 d of an appendicitis discharge, excluding interval appendectomies. Time to late hospital care was evaluated using Cox regression. We evaluated health-care expenditures arising from appendicitis episodes. RESULTS: Among 95,942 children with appendicitis, 5727 (6.0%) had late hospital care, with 5062 requiring rehospitalization and 2012 (2.1%) surgery. The median time to late hospital care was 10 d (interquartile range 4-33). Age under 5 y (compared with >14 y, hazard ratio [HR] 1.88, 95% confidence interval [CI] 1.70-2.08), complex chronic conditions (HR 2.35, 95% CI 2.13-2.59), and complicated appendicitis (HR 2.81, 95% CI 2.67, 2.96) were each associated with time to late hospital care. Expenditures over 180 d were a median $6553 and $19,589 respectively in those requiring no late hospital care versus those requiring it (P < 0.001). CONCLUSIONS: Late hospital care is uncommon in pediatric appendicitis but is costly. Prevention efforts should be targeted to the youngest, most complex children, and those with complicated appendicitis at presentation.

Predictors of Invasive Bacterial Infection in Febrile Infants Aged 2 to 6 Months in the Emergency Department.

Our goal was to identify predictors of invasive bacterial infection (ie, bacteremia and bacterial meningitis) in febrile infants aged 2-6 months. In our multicenter retrospective cohort, older age and lower temperature identified infants at low risk for invasive bacterial infection who could safely avoid routine testing.

Variation and Drivers of Costs for Emergency Department Visits Among Children in 8 States.

OBJECTIVE: To describe variation in costs for emergency department (ED) visits among children and to assess hospital and regional factors associated with costs. METHODS: Cross-sectional study of all ED encounters among children under 18 years in 8 states from 2014 to 2018. The primary outcome was each hospital's mean inflation-adjusted ED costs. We evaluated variability in costs between hospitals and determined factors associated with costs using hierarchical linear models at the state, region, and hospital levels. Models adjusted for pediatric case mix, regional wages, Medicaid share, trauma status, critical access status, ownership, and market competitiveness. RESULTS: We analyzed 22.9 million ED encounters across 713 hospitals. The median ED-level cost was $269 (range 99-1863). There was a 5.1-fold difference in median ED-level costs between the lowest- and highest-cost regions (range 119-605). ED-level costs were associated with case mix index (+38% per 10% increase, 95% confidence interval [CI] 30 to 47); wages [+7% per 10% increase, 95% CI 5 to 9]); critical access (adjusted costs, +24%, 95% CI 13 to 35); for profit status (-20%, 95% CI -26 to -14) compared with nonprofit, lowest trauma designation (+17%, 95% CI 5 to 30); teaching hospital status (+7%, 95% CI 1 to 14); highest number of inpatient beds (+13%, 95% CI 4 to 23); and Medicaid share versus quarter (Q)1 (Q2: -12%, 95% CI -18 to -7; Q3: -13%, 95% CI -19 to -7; Q4: -11%, 95% CI -17 to -4). CONCLUSIONS: Our results suggest nonclinical factors are important drivers of pediatric health care costs.

Harnessing the Power of Generative AI for Clinical Summaries: Perspectives From Emergency Physicians.

STUDY OBJECTIVE: The workload of clinical documentation contributes to health care costs and professional burnout. The advent of generative artificial intelligence language models presents a promising solution. The perspective of clinicians may contribute to effective and responsible implementation of such tools. This study sought to evaluate 3 uses for generative artificial intelligence for clinical documentation in pediatric emergency medicine, measuring time savings, effort reduction, and physician attitudes and identifying potential risks and barriers. METHODS: This mixed-methods study was performed with 10 pediatric emergency medicine attending physicians from a single pediatric emergency department. Participants were asked to write a supervisory note for 4 clinical scenarios, with varying levels of complexity, twice without any assistance and twice with the assistance of ChatGPT Version 4.0. Participants evaluated 2 additional ChatGPT-generated clinical summaries: a structured handoff and a visit summary for a family written at an 8th grade reading level. Finally, a semistructured interview was performed to assess physicians' perspective on the use of ChatGPT in pediatric emergency medicine. Main outcomes and measures included between subjects' comparisons of the effort and time taken to complete the supervisory note with and without ChatGPT assistance. Effort was measured using a self-reported Likert scale of 0 to 10. Physicians' scoring of and attitude toward the ChatGPT-generated summaries were measured using a 0 to 10 Likert scale and open-ended questions. Summaries were scored for completeness, accuracy, efficiency, readability, and overall satisfaction. A thematic analysis was performed to analyze the content of the open-ended questions and to identify key themes. RESULTS: ChatGPT yielded a 40% reduction in time and a 33% decrease in effort for supervisory notes in intricate cases, with no discernible effect on simpler notes. ChatGPT-generated summaries for structured handoffs and family letters were highly rated, ranging from 7.0 to 9.0 out of 10, and most participants favored their inclusion in clinical practice. However, there were several critical reservations, out of which a set of general recommendations for applying ChatGPT to clinical summaries was formulated. CONCLUSION: Pediatric emergency medicine attendings in our study perceived that ChatGPT can deliver high-quality summaries while saving time and effort in many scenarios, but not all.

Impact of a Bronchiolitis Clinical Pathway on Management Decisions by Preferred Language.

Background: Clinical pathways standardize healthcare utilization, but their impact on healthcare equity is poorly understood. This study aims to measure the effect of a bronchiolitis pathway on management decisions by preferred language for care. Methods: We included all emergency department encounters for patients aged 1-12 months with bronchiolitis from 1/1/2010 to 10/31/2020. The prepathway period ended 10/31/2011, and the postpathway period was 1/1/2012-10/31/2020. We performed retrospective interrupted time series analyses to assess the impact of the clinical pathway by English versus non-English preferred language on the following outcomes: chest radiography (CXR), albuterol use, 7-day return visit, 72-hour return to admission, antibiotic use, and corticosteroid use. Analyses were adjusted for presence of a complex chronic condition. Results: There were 1485 encounters in the preperiod (77% English, 14% non-English, 8% missing) and 7840 encounters in the postperiod (79% English, 15% non-English, 6% missing). CXR, antibiotic, and albuterol utilization exhibited sustained decreases over the study period. Pathway impact did not differ by preferred language for any outcome except albuterol utilization. The prepost slope effect of albuterol utilization was 10% greater in the non-English versus the English group (p for the difference by language = 0.022). Conclusions: A clinical pathway was associated with improvements in care regardless of preferred language. More extensive studies involving multiple pathways and care settings are needed to assess the impact of clinical pathways on health equity.

Emergency Department Volume and Delayed Diagnosis of Serious Pediatric Conditions.

Importance: Diagnostic delays are common in the emergency department (ED) and may predispose to worse outcomes. Objective: To evaluate the association of annual pediatric volume in the ED with delayed diagnosis. Design, Setting, and Participants: This retrospective cohort study included all children younger than 18 years treated at 954 EDs in 8 states with a first-time diagnosis of any of 23 acute, serious conditions: bacterial meningitis, compartment syndrome, complicated pneumonia, craniospinal abscess, deep neck infection, ectopic pregnancy, encephalitis, intussusception, Kawasaki disease, mastoiditis, myocarditis, necrotizing fasciitis, nontraumatic intracranial hemorrhage, orbital cellulitis, osteomyelitis, ovarian torsion, pulmonary embolism, pyloric stenosis, septic arthritis, sinus venous thrombosis, slipped capital femoral epiphysis, stroke, or testicular torsion. Patients were identified using the Healthcare Cost and Utilization Project State ED and Inpatient Databases. Data were collected from January 2015 to December 2019, and data were analyzed from July to December 2023. Exposure: Annual volume of children at the first ED visited. Main Outcomes and Measures: Possible delayed diagnosis, defined as a patient with an ED discharge within 7 days prior to diagnosis. A secondary outcome was condition-specific complications. Rates of possible delayed diagnosis and complications were determined. The association of volume with delayed diagnosis across conditions was evaluated using conditional logistic regression matching on condition, age, and medical complexity. Condition-specific volume-delay associations were tested using hierarchical logistic models with log volume as the exposure, adjusting for age, sex, payer, medical complexity, and hospital urbanicity. The association of delayed diagnosis with complications by condition was then examined using logistic regressions. Results: Of 58 998 included children, 37 211 (63.1%) were male, and the mean (SD) age was 7.1 (5.8) years. A total of 6709 (11.4%) had a complex chronic condition. Delayed diagnosis occurred in 9296 (15.8%; 95% CI, 15.5-16.1). Each 2-fold increase in annual pediatric volume was associated with a 26.7% (95% CI, 22.5-30.7) decrease in possible delayed diagnosis. For 21 of 23 conditions (all except ectopic pregnancy and sinus venous thrombosis), there were decreased rates of possible delayed diagnosis with increasing ED volume. Condition-specific complications were 11.2% (95% CI, 3.1-20.0) more likely among patients with a possible delayed diagnosis compared with those without. Conclusions and Relevance: EDs with fewer pediatric encounters had more possible delayed diagnoses across 23 serious conditions. Tools to support timely diagnosis in low-volume EDs are needed.

Cost of Pediatric Pneumonia Episodes With or Without Chest Radiography.

BACKGROUND AND OBJECTIVES: Despite its routine use, it is unclear whether chest radiograph (CXR) is a cost-effective strategy in the workup of community-acquired pneumonia (CAP) in the pediatric emergency department (ED). We sought to assess the costs of CAP episodes with and without CXR among children discharged from the ED. METHODS: This was a retrospective cohort study within the Healthcare Cost and Utilization Project State ED and Inpatient Databases of children aged 3 months to 18 years with CAP discharged from any EDs in 8 states from 2014 to 2019. We evaluated total 28-day costs after ED discharge, including the index visit and subsequent care. Mixed-effects linear regression models adjusted for patient-level variables and illness severity were performed to evaluate the association between CXR and costs. RESULTS: We evaluated 225c781 children with CAP, and 86.2% had CXR at the index ED visit. Median costs of the 28-day episodes, index ED visits, and subsequent visits were $314 (interquartile range [IQR] 208-497), $288 (IQR 195-433), and $255 (IQR 133-637), respectively. There was a $33 (95% confidence interval [CI] 22-44) savings over 28-days per patient for those who received a CXR compared with no CXR after adjusting for patient-level variables and illness severity. Costs during subsequent visits ($26 savings, 95% CI 16-36) accounted for the majority of the savings as compared with the index ED visit ($6, 95% CI 3-10). CONCLUSIONS: Performance of CXR for CAP diagnosis is associated with lower costs when considering the downstream provision of care among patients who require subsequent health care after initial ED discharge.

Pediatric capacity crisis: A framework and strategies to prepare for a pediatric surge.

A pediatric capacity crisis developed across the country in the Fall and Winter of 2022 due to a combination of factors, including a surge in respiratory viruses, staffing shortages, and historical closures of inpatient pediatric units. The COVID-19 pandemic and associated surge in critically ill adult patients demonstrated that health care systems and health care workers can quickly implement creative and collaborative system-wide solutions to deliver the best care possible during a capacity crisis. Similar solutions are needed to respond to future surges in pediatric volume and to maintain a high standard of care during such a surge. This paper aims to build upon insights from the COVID-19 and H1N1 pandemic responses and the 2022 pediatric capacity crisis. We provide specific recommendations addressing governmental/policy, hospital/health care system, and individual clinician strategies that can be implemented to manage future surges in pediatric patient volume.

Disparities in Diagnostic Timeliness and Outcomes of Pediatric Appendicitis.

This cohort study compares rates of delayed diagnosis and complications of appendicitis by race and ethnicity and Child Opportunity Index among children in 8 states.

Critical Revisits Among Children After Emergency Department Discharge.

STUDY OBJECTIVE: Identifying higher risk groups could reveal ways to prevent critical emergency department (ED) revisits. The study objectives were to determine the rate of critical ED revisits among children discharged from the ED and to identify factors associated with critical revisits. METHODS: We performed a retrospective study using the Healthcare Cost and Utilization Project State ED Databases (SEDD) and the State Inpatient Databases (SID). We included data from 6 states from 2014 through 2017. Critical ED revisit was defined as either ICU admission or death within 3 days of the initial ED discharge. We included all patients younger than 21 years. The main outcome was the rate of critical ED revisit. We also determined the relative risk (RR) of a critical ED revisit for the most common index ED visit diagnoses. We used negative binomial regression to calculate incidence rate ratios (IRR) of a critical ED visit by pediatric volume and complex chronic conditions. RESULTS: A total of 16.3 million children were discharged from an ED over the 4-year study period. There were 18,704 (0.1%) critical ED revisits, 180 (0.00001%) of whom died. Asthma (RR 2.24, 95% confidence interval [CI] [2.11 to 2.38) had the highest relative risk of a critical revisit among all ED diagnoses. Adjusting for hospital volume and patient age, patients with complex chronic conditions were also more likely to have a critical ED revisit (IRR 11.03, 95% CI, 7.76 to 15.67). CONCLUSIONS: Critical revisits after ED discharge were uncommon among children in our study sample, with revisits resulting in patient death within 3 days of an ED discharge being rare. Given the short time interval between ED discharges, however, future research should focus on understanding higher risk patients among those with asthma and a history of complex chronic conditions.

Trends in Acute Care Use for Mental Health Conditions Among Youth During the COVID-19 Pandemic.

Importance: Understanding how children's utilization of acute mental health care changed during the COVID-19 pandemic is critical for directing resources. Objective: To examine youth acute mental health care use (emergency department [ED], boarding, and subsequent inpatient care) during the second year of the COVID-19 pandemic. Design, Setting, and Participants: This cross-sectional analysis of national, deidentified commercial health insurance claims of youth mental health ED and hospital care took place between March 2019 and February 2022. Among 4.1 million commercial insurance enrollees aged 5 to 17 years, 17 614 and 16 815 youth had at least 1 mental health ED visit in the baseline year (March 2019-February 2020) and pandemic year 2 (March 2021-February 2022), respectively. Exposure: The COVID-19 pandemic. Main outcomes and measures: The relative change from baseline to pandemic year 2 was determined in (1) fraction of youth with 1 or more mental health ED visits; (2) percentage of mental health ED visits resulting in inpatient psychiatry admission; (3) mean length of inpatient psychiatric stay following ED visit; and (4) frequency of prolonged boarding (≥2 midnights) in the ED or a medical unit before admission to an inpatient psychiatric unit. Results: Of 4.1 million enrollees, 51% were males and 41% were aged 13 to 17 years (vs 5-12 years) with 88 665 mental health ED visits. Comparing baseline to pandemic year 2, there was a 6.7% increase in youth with any mental health ED visits (95% CI, 4.7%-8.8%). Among adolescent females, there was a larger increase (22.1%; 95% CI, 19.2%-24.9%). The fraction of ED visits that resulted in a psychiatric admission increased by 8.4% (95% CI, 5.5%-11.2%). Mean length of inpatient psychiatric stay increased 3.8% (95% CI, 1.8%-5.7%). The fraction of episodes with prolonged boarding increased 76.4% (95% CI, 71.0%-81.0%). Conclusions and relevance: Into the second year of the pandemic, mental health ED visits increased notably among adolescent females, and there was an increase in prolonged boarding of youth awaiting inpatient psychiatric care. Interventions are needed to increase inpatient child psychiatry capacity and reduce strain on the acute mental health care system.

Community Validation of an Approach to Detect Delayed Diagnosis of Appendicitis in Big Databases.

BACKGROUND: Detection of delayed diagnosis using administrative databases may illuminate the healthcare settings at highest risk. A method for detection of delays in claims has been validated in children's hospitals. We sought to further validate the method in community emergency departments (EDs). METHODS: We studied patients <21 years old diagnosed with appendicitis from 2008 to 2019 in 8 eastern Massachusetts EDs. Eligible patients had 2 ED encounters within 7 days, the second with an appendicitis diagnosis. Delayed diagnosis was evaluated in medical records by trained reviewers. A previously validated trigger tool was applied to participants' electronic medical record data. The tool used data elements included in administrative data, including initial encounter diagnoses, time between encounters, presence of medical complexity, and ultimate length of stay. The tool assigned a probability of delayed diagnosis for each patient. Test characteristics at 4 confidence thresholds were determined, and the area under the receiver operating curve was calculated. RESULTS: We analyzed 68 children with 2 encounters leading to a diagnosis of appendicitis (i.e., possible delay). When assigning a delayed diagnosis prediction to patients at 4 thresholds of confidence (>0%, >50%, >75%, and >90% confident), the positive predictive values were respectively 74%, 89%, 92%, and 89%; the negative predictive values were respectively 100%, 57%, 50%, and 33%. The area under the receiver operating curve was 0.837 (95% confidence interval 0.719-0.954). CONCLUSIONS: A trigger tool that identifies delays in diagnosis using only administrative data in community EDs has a high positive predictive value for true delay. The tool may be applied in community EDs.

Multicenter evaluation of a method to identify delayed diagnosis of diabetic ketoacidosis and sepsis in administrative data.

OBJECTIVES: To derive a method of automated identification of delayed diagnosis of two serious pediatric conditions seen in the emergency department (ED): new-onset diabetic ketoacidosis (DKA) and sepsis. METHODS: Patients under 21 years old from five pediatric EDs were included if they had two encounters within 7 days, the second resulting in a diagnosis of DKA or sepsis. The main outcome was delayed diagnosis based on detailed health record review using a validated rubric. Using logistic regression, we derived a decision rule evaluating the likelihood of delayed diagnosis using only characteristics available in administrative data. Test characteristics at a maximal accuracy threshold were determined. RESULTS: Delayed diagnosis was present in 41/46 (89 %) of DKA patients seen twice within 7 days. Because of the high rate of delayed diagnosis, no characteristic we tested added predictive power beyond the presence of a revisit. For sepsis, 109/646 (17 %) of patients were deemed to have a delay in diagnosis. Fewer days between ED encounters was the most important characteristic associated with delayed diagnosis. In sepsis, our final model had a sensitivity for delayed diagnosis of 83.5 % (95 % confidence interval 75.2-89.9) and specificity of 61.3 % (95 % confidence interval 56.0-65.4). CONCLUSIONS: Children with delayed diagnosis of DKA can be identified by having a revisit within 7 days. Many children with delayed diagnosis of sepsis may be identified using this approach with low specificity, indicating the need for manual case review.

Emergency Department Volume and Delayed Diagnosis of Pediatric Appendicitis: A Retrospective Cohort Study.

OBJECTIVE: To determine the association of emergency department (ED) volume of children and delayed diagnosis of appendicitis. BACKGROUND: Delayed diagnosis of appendicitis is common in children. The association between ED volume and delayed diagnosis is uncertain, but diagnosis-specific experience might improve diagnostic timeliness. METHODS: Using Healthcare Cost and Utilization Project 8-state data from 2014 to 2019, we studied all children with appendicitis <18 years old in all EDs. The main outcome was probable delayed diagnosis: >75% likelihood that a delay occurred based on a previously validated measure. Hierarchical models tested associations between ED volumes and delay, adjusting for age, sex, and chronic conditions. We compared complication rates by delayed diagnosis occurrence. RESULTS: Among 93,136 children with appendicitis, 3,293 (3.5%) had delayed diagnosis. Each 2-fold increase in ED volume was associated with a 6.9% (95% CI: 2.2, 11.3) decreased odds of delayed diagnosis. Each 2-fold increase in appendicitis volume was associated with a 24.1% (95% CI: 21.0, 27.0) decreased odds of delay. Those with delayed diagnosis were more likely to receive intensive care [odds ratio (OR): 1.81, 95% CI: 1.48, 2.21], have perforated appendicitis (OR: 2.81, 95% CI: 2.62, 3.02), undergo abdominal abscess drainage (OR: 2.49, 95% CI: 2.16, 2.88), have multiple abdominal surgeries (OR: 2.56, 95% CI: 2.13, 3.07), or develop sepsis (OR: 2.02, 95% CI: 1.61, 2.54). CONCLUSIONS: Higher ED volumes were associated with a lower risk of delayed diagnosis of pediatric appendicitis. Delay was associated with complications.

OUTCOMES OF MISSED DIAGNOSIS OF PEDIATRIC APPENDICITIS, NEW-ONSET DIABETIC KETOACIDOSIS, AND SEPSIS IN FIVE PEDIATRIC HOSPITALS.

BACKGROUND: Missed diagnosis can predispose to worse condition-specific outcomes. OBJECTIVE: To determine 90-day complication rates and hospital utilization after a missed diagnosis of pediatric appendicitis, new-onset diabetic ketoacidosis (DKA), and sepsis. METHODS: We evaluated patients under 21 years of age visiting five pediatric emergency departments (EDs) with a study condition. Case patients had a preceding ED visit within 7 days of diagnosis and underwent case review to confirm a missed diagnosis. Control patients had no preceding ED visit. We compared complication rates and utilization between case and control patients after adjusting for age, sex, and insurance. RESULTS: We analyzed 29,398 children with appendicitis, 5366 with DKA, and 3622 with sepsis, of whom 429, 33, and 46, respectively, had a missed diagnosis. Patients with missed diagnosis of appendicitis or DKA had more hospital days and readmissions; there were no significant differences for those with sepsis. Those with missed appendicitis were more likely to have abdominal abscess drainage (adjusted odds ratio [aOR] 3.0, 95% confidence interval [CI] 2.4-3.6) or perforated appendicitis (aOR 3.1, 95% CI 2.5-3.8). Those with missed DKA were more likely to have cerebral edema (aOR 4.6, 95% CI 1.5-11.3), mechanical ventilation (aOR 13.4, 95% CI 3.8-37.1), or death (aOR 28.4, 95% CI 1.4-207.5). Those with missed sepsis were less likely to have mechanical ventilation (aOR 0.5, 95% CI 0.2-0.9). Other illness complications were not significantly different by missed diagnosis. CONCLUSIONS: Children with delayed diagnosis of appendicitis or new-onset DKA had a higher risk of 90-day complications and hospital utilization than those with a timely diagnosis.

Association of Chest Radiography With Outcomes in Pediatric Pneumonia: A Population-Based Study.

OBJECTIVE: Chest radiograph (CXR) is often performed for the evaluation of community-acquired pneumonia (CAP) in the ED setting. We sought to evaluate the association of undergoing CXR with 7-day hospitalization after emergency department (ED) discharge among patients with CAP. METHODS: This was a retrospective cohort study including children 3 months to 17 years discharged from any ED within 8 states from 2014 to 2019. We evaluated the association of CXR performance with 7-day hospitalization at both the patient and ED levels using mixed-effects logistic regression models accounting for markers of illness severity. Secondary outcomes included 7-day ED revisits and 7-day hospitalization with severe CAP. RESULTS: Among 206 694 children with CAP, rates of 7-day ED revisit, hospitalization, and severe CAP were 8.9%, 1.6%, and 0.4%, respectively. After adjusting for illness severity, CXR was associated with fewer 7-day hospitalizations (1.6% vs. 1.7%, adjusted odds ratio: [aOR] 0.82, 95% confidence interval [CI]: 0.73-0.92). CXR performance varied somewhat between EDs (median 91.5%, IQR: 85.3%-95.0%). EDs in the highest quartile had fewer 7-day hospitalizations (1.4% vs 1.9%, aOR: 0.78, 95% CI: 0.65-0.94), ED revisits (8.5% vs 9.4%, aOR: 0.88, 95% CI: 0.80-0.96) and hospitalizations for severe CAP (0.3% vs. 0.5%, aOR: 0.70, 95% CI: 0.51-0.97) as compared to EDs with the lowest quartile of CXR utilization. CONCLUSIONS: Among children discharged from the ED with CAP, performance of CXR was associated with a small but significant reduction in hospitalization within 7 days. CXR may be helpful in the prognostic evaluation of children with CAP discharged from the ED.