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Objective: Firearm injuries are one of the leading preventable causes of morbidity and mortality among children. Limited information exists about the impact of nonfatal firearm injuries on utilization and expenditures. Our objective was to compare health care encounters and expenditures 1 year before and 1 year following a nonfatal firearm injury. Methods:This was a retrospective cohort study of children 0 to 18 years with ICD-9/ ICD-10 diagnosis codes for firearm injury (excluding nonpowder) in the emergency department or inpatient setting from 2010 to 2016 in the Medicaid MarketScan claims database. Outcomes included: (1) difference in health care encounters for 1 year before and 1 year after injury, (2) difference in health care expenditures, and(3) difference in complex chronic disease status. Descriptive statistics characterized patient demographics and health care utilization. Health expenditures were evaluated with Wilcoxon signed-rank tests.Results: Among 1,821 children, there were 22,398 health care encounters before the injury and 28,069 after. Concomitantly, there was an overall increase of $16.5 million in health expenditures ($9,084 per patient). There was a 50% increase in children qualifying for complex chronic condition status after firearm injury. Conclusions:Children who experience nonfatal firearm injury have increased number of health care encounters, chronic disease classification, and health care expenditures in the year following the injury. Prevention of firearm injuries in this vulnerable age group may result in considerable reductions in morbidity and health care costs.

BACKGROUND: A 56 US hospital collaborative, Improving Pediatric Sepsis Outcomes, has developed variables, metrics and a data analysis plan to track quality improvement (QI)–based patient outcomes over time. Improving Pediatric Sepsis Outcomes expands on previous pediatric sepsis QI efforts by improving electronic data capture and uniformity across sites. METHODS: An expert panel developed metrics and corresponding variables to assess improvements across the care delivery spectrum, including the emergency department, acute care units, hematology and oncology, and the ICU. Outcome, process, and balancing measures were represented. Variables and statistical process control charts were mapped to each metric, elucidating progress over time and informing plan-do-study-act cycles. Electronic health record (EHR) abstraction feasibility was prioritized. Time 0 was defined as time of earliest sepsis recognition (determined electronically), or as a clinically derived time 0 (manually abstracted), identifying earliest physiologic onset of sepsis. RESULTS: Twenty-four evidence-based metrics reflected timely and appropriate interventions for a uniformly defined sepsis cohort. Metrics mapped to statistical process control charts with 44 final variables; 40 could be abstracted automatically from multiple EHRs. Variables, including high-risk conditions and bedside huddle time, were challenging to abstract (reported in <80% of encounters). Size or type of hospital, method of data abstraction, and previous QI collaboration participation did not influence hospitals’ abilities to contribute data. To date, 90% of data have been submitted, representing 200 007 sepsis episodes. CONCLUSIONS: A comprehensive data dictionary was developed for the largest pediatric sepsis QI collaborative, optimizing automation and ensuring sustainable reporting. These approaches can be used in other large-scale sepsis QI projects in which researchers seek to leverage EHR data abstraction.

IMPORTANCEThe scope of low-value care in children's hospitals is poorly understood. OBJECTIVE To develop and apply a calculator of hospital-based pediatric low-value care to estimate prevalence and cost of low-value services. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study developed and applied a calculator of hospital-based pediatric low-value care to estimate the prevalence and cost of low-value services among 1 011 950 encounters reported in 49 US children's hospitals contributing to the Pediatric Health Information System (PHIS) database. To develop the calculator, a multidisciplinary stakeholder group searched existing pediatric low-value care measures and used an iterative process to identify and operationalize relevant hospital-based measures in the PHIS database. Children with an eligible encounter in 2019 were included in the calculator-applied analysis. Two cohorts were analyzed: an emergency department cohort (with encounters resulting in emergency department discharge) and a hospitalized cohort. EXPOSURES Eligible condition-specific hospital encounters. MAIN OUTCOMES AND MEASURES The proportion and volume of encounters in which low-value services were delivered and their associated standardized costs. Measures were ranked by those outcomes. RESULTS There were 1 011 950 encounters eligible for 1 or more of 30 calculator-included measures in 2019; encounters were incurred by 816 098 unique patients with a median age of 3 years (IQR, 1-8 years). In the emergency department cohort, low-value services delivered in the greatest percentage of encounters were Group A streptococcal testing among children younger than 3 years with pharyngitis (3679 of 9785 [37.6%]), computed tomography scan for minor head injury (7541 of 42 602 [17.7%]), and bronchodilators for treatment of bronchiolitis (8899 of 55 616 [16.0%]). In the hospitalized cohort, low-value care was most prevalent for broad-spectrum antibiotics in the treatment of community-acquired pneumonia (3406 of 5658 [60.2%]), acid suppression therapy for infants with esophageal reflux (3814 of 7507 of [50.8%]), and blood cultures for uncomplicated community-acquired pneumonia (2277 of 5823 [39.1%]). Measured low-value services generated

BACKGROUND Pediatric acute care utilization decreased dramatically during the COVID-19 pandemic. This study examined the association between the Child Opportunity Index (COI), a multidimensional neighborhood measure of childhood opportunity, and changes in acute care utilization at US pediatric hospitals during the COVID-19 pandemic compared to the prior three years. METHODS This observational study utilized administrative data across 41 US-based pediatric hospitals. Children 0-17 years with Emergency Department (ED) encounters during the study period were included. The COVID-19 pandemic time period (March 15, 2020-March 14, 2021) was the primary exposure. The primary outcome was the relative volume drop in ED encounters and observation/inpatient admissions through the ED by COI quintile. RESULTS Of 12,138,750 encounters, 3,705,320 (30.5%) were among the very low COI quintile. Overall, there was a 46.8% relative volume reduction in the pandemic period compared to the pre-pandmic period. This drop in volume occurred disproportionately among the very low COI quintile (51.1%) compared to very high COI quintile (42.8%). The majority of clinical diagnosis groups demonstrated larger relative volume drops among the very low COI quintile. CONCLUSIONS Acute care utilization decreased the most among children from very low COI neighborhoods, narrowing previously described acute care utilization disparities. Additional study of patient perspectives on health care needs and access during this period is required to understand these changes.