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.

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.

Evaluation of Insurance Type as a Proxy for Socioeconomic Status in the Pediatric Emergency Department: A Pilot Study.

STUDY OBJECTIVE: To determine whether insurance status can function as a sufficient proxy for socioeconomic status in emergency medicine research by examining the concordance between insurance status and direct socioeconomic status measures in a sample of pediatric patients. METHODS: We conducted a cross-sectional pilot study of patients aged 5 to 17 years in the emergency department of a quaternary care children's hospital. Socioeconomic status was measured using the highest level of the caregiver's education (low: less than bachelor's degree; high: bachelor's or greater) and previous year household income (low: <$75,000; high: ≥$75,000). We calculated the misclassification rate of insurance status (low: public; high: private) using education and income as reference standards. Results were expressed as percentages with 95% confidence intervals. RESULTS: In total, 300 patients were enrolled (median age 11 years, 44% female). Insurance status misclassified 23% (95% CI 18% to 28%) and 14% (95% CI 10% to 19%) of patients when using caregiver education and income, respectively, as reference standards. CONCLUSIONS: Insurance status misclassified socioeconomic status in up to 23% of pediatric patients, as measured by caregivers' education and income. Emergency medicine studies of pediatric patients using insurance as a covariate to adjust for socioeconomic status may need to consider this misclassification and the resulting potential for bias. These findings require confirmation in larger, more diverse samples, including adult patients.

Abortion Restrictiveness and Infant Mortality: An Ecologic Study, 2014-2018.

INTRODUCTION: The U.S. has the highest infant mortality rate among peer countries. Restrictive abortion laws may contribute to poor infant health outcomes. This ecological study investigated the association between county-level infant mortality and state-level abortion access legislation in the U.S. from 2014 to 2018. METHODS: A multivariable regression analysis with the outcome of county-level infant mortality rates, controlling for the primary exposure of state-level abortion laws, and county-level factors, county-level distance to an abortion facility, and state Medicaid expansion status was performed. Incidence rate ratios and 95% CIs were reported. Analyses were conducted in 2022-2023. RESULTS: There were 113,397 infant deaths among 19,559,660 live births (infant mortality rate=5.79 deaths/1,000 live births; 95% CI=5.75, 5.82). Black infant mortality rate (10.69/1,000) was more than twice the White infant mortality rate (4.87/1,000). In the multivariable model, increased infant mortality rates were seen in states with ≥8 restrictive laws, with the most restrictive (11-12 laws) having a 16% increased infant mortality level (adjusted incidence rate ratios=1.162; 95% CI=1.103, 1.224). Increased infant mortality rates were associated with increased county-level Black race individuals (adjusted incidence rate ratios=1.031; 95% CI=1.026, 1.037), high school education (adjusted incidence rate ratios=1.018; 95% CI=1.008, 1.029), maternal smoking (adjusted incidence rate ratios=1.025; 95% CI=1.018, 1.033), and inadequate prenatal care (adjusted incidence rate ratios=1.045; 95% CI=1.036, 1.055). CONCLUSIONS: State-level abortion law restrictiveness is associated with higher county-level infant mortality rates. The Supreme Court decision on Dobbs versus Jackson and changes in state laws limiting abortion may affect future infant mortality.

Racial & ethnic disparities in geographic access to critical care in the United States: A geographic information systems analysis.

OBJECTIVE: It is important to identify gaps in access and reduce health outcome disparities, understanding access to intensive care unit (ICU) beds, especially by race and ethnicity, is crucial. Our objective was to evaluate the race and ethnicity-specific 60-minute drive time accessibility of ICU beds in the United States (US). DESIGN: We conducted a cross-sectional study using road network analysis to determine the number of ICU beds within a 60-minute drive time, and calculated adult intensive care bed ratios per 100,000 adults. We evaluated the US population at the Census block group level and stratified our analysis by race and ethnicity and by urbanicity. We classified block groups into four access levels: no access (0 adult intensive care beds/100,000 adults), below average access (>0-19.5), average access (19.6-32.0), and above average access (>32.0). We calculated the proportion of adults in each racial and ethnic group within the four access levels. SETTING: All 50 US states and the District of Columbia. PARTICIPANTS: Adults ≥15 years old. MAIN OUTCOME MEASURES: Adult intensive care beds/100,000 adults and percentage of adults national and state) within four access levels by race and ethnicity. RESULTS: High variability existed in access to ICU beds by state, and substantial disparities by race and ethnicity. 1.8% (n = 5,038,797) of Americans had no access to an ICU bed, and 26.8% (n = 73,095,752) had below average access, within a 60-minute drive time. Racial and ethnic analysis showed high rates of disparities (no access/below average access): American Indians/Alaskan Native 12.6%/28.5%, Asian 0.7%/23.1%, Black or African American 0.6%/16.5%, Hispanic or Latino 1.4%/23.0%, Native Hawaiian and other Pacific Islander 5.2%/35.0%, and White 2.1%/29.0%. A higher percentage of rural block groups had no (5.2%) or below average access (41.2%), compared to urban block groups (0.2% no access, 26.8% below average access). CONCLUSION: ICU bed availability varied substantially by geography, race and ethnicity, and by urbanicity, creating significant disparities in critical care access. The variability in ICU bed access may indicate inequalities in healthcare access overall by limiting resources for the management of critically ill patients.

Predictors of Delayed Diagnosis of Pediatric CNS Tumors in the Emergency Department.

OBJECTIVE: Central nervous system (CNS) tumor diagnoses are frequently delayed in children, which may lead to adverse outcomes and undue burdens on families. Examination of factors associated with delayed emergency department (ED) diagnosis could identify approaches to reduce delays. STUDY DESIGN: We performed a case-control study using data from 2014 to 2017 for 6 states. We included children aged 6 months to 17 years with a first diagnosis of CNS tumor in the ED. Cases had a delayed diagnosis, defined as 1 or more ED visits in the 140 days preceding tumor diagnosis (the mean prediagnostic symptomatic interval for pediatric CNS tumors in the United States). Controls had no such preceding visit. RESULTS: We included 2828 children (2139 controls, 76%; 689 cases, 24%). Among cases, 68% had 1 preceding ED visit, 21% had 2, and 11% had 3 or more. Significant predictors of delayed diagnosis included presence of a complex chronic condition (adjusted odds ratio [aOR], 9.73; 95% confidence interval [CI], 6.67-14.20), rural hospital location (aOR, 6.37; 95% CI, 1.80-22.54), nonteaching hospital status (aOR, 3.05, compared with teaching hospitals; 95% CI, 1.94-4.80), age younger than 5 years (aOR, 1.57; 95% CI, 1.16-2.12), public insurance (aOR, 1.49, compared with private; 95% CI, 1.16-1.92), and Black race (aOR, 1.42, compared with White; 95% CI, 1.01-1.98). CONCLUSIONS: Delayed ED diagnosis of pediatric CNS tumors is common and frequently requires multiple ED encounters. Prevention of delays should focus on careful evaluation of young or chronically ill children, mitigating disparities for Black and publicly insured children, and improving pediatric readiness in rural and nonteaching EDs.

Association of State-Level Tax Policy and Infant Mortality in the United States, 1996-2019.

Importance: Infant mortality in the United States is highest among peer nations; it is also inequitable, with the highest rates among Black infants. The association between tax policy and infant mortality is not well understood. Objective: To examine the association between state-level tax policy and state-level infant mortality in the US. Design, Setting, and Participants: This state-level, population-based cross-sectional study investigated the association between tax policy and infant mortality in the US from 1996 through 2019. All US infant births and deaths were included, with data obtained from the National Center for Health Statistics. Data were analyzed from November 28, 2021, to July 9, 2022. Exposures: State-level tax policy was operationalized as tax revenue per capita and tax progressivity. The Suits index was used to measure tax progressivity, with higher progressivity indicating increased tax rates for wealthier individuals. Main Outcomes and Measures: The association between tax policy and infant mortality rates was analyzed using a multivariable, negative binomial, generalized estimating equations model. Since 6 years of tax progressivity data were available (1995, 2002, 2009, 2012, 2014, and 2018), 300 state-years were included. Adjusted incidence rate ratios (aIRRs) were calculated controlling for year, state-level demographic variables, federal transfer revenue, and other revenue. Secondary analyses were conducted for racial and ethnic subgroups. Results: There were 148 336 infant deaths in the US from 1996 through 2019, including 27 861 Hispanic infants, 1882 non-Hispanic American Indian or Alaska Native infants, 5792 non-Hispanic Asian or Pacific Islander infants, 41 560 non-Hispanic Black infants, and 68 666 non-Hispanic White infants. The overall infant mortality rate was 6.29 deaths per 1000 live births. Each $1000 increase in tax revenue per capita was associated with a 2.6% decrease in the infant mortality rate (aIRR, 0.97; 95% CI, 0.95-0.99). An increase of 0.10 in the Suits index (ie, increased tax progressivity) was associated with a 4.6% decrease in the infant mortality rate (aIRR, 0.95; 95% CI, 0.91-0.99). Increased tax progressivity was associated with decreased non-Hispanic White infant mortality (aIRR, 0.95; 95% CI, 0.91-0.99), and increased tax revenue was associated with increased non-Hispanic Black infant mortality (aIRR, 1.04; 95% CI, 1.01-1.08). Conclusions and Relevance: In this cross-sectional study, an increase in tax revenue and the Suits index of tax progressivity were both associated with decreased infant mortality. These associations varied by race and ethnicity. Tax policy is an important, modifiable social determinant of health that may influence state-level infant mortality.

A Statewide Assessment of Pediatric Emergency Care Surge Capabilities.

BACKGROUND: Pediatric surge planning is critical in the setting of decreasing pediatric inpatient capacity. We describe a statewide assessment of pediatric inpatient bed capacity, clinical care therapies, and subspecialty availability during standard and disaster operations in Massachusetts. METHODS: To assess pediatric (<18 years old) inpatient bed capacity during standard operations, we used Massachusetts Department of Public Health data from May 2021. To assess pediatric disaster capacity, therapies, and subspecialty availability in standard and disaster operations, we performed a state-wide survey of Massachusetts hospital emergency management directors from May to August 2021. From the survey, we calculated additional pediatric inpatient bed capacity during a disaster and clinical therapy and subspecialty availability during standard and disaster operations. RESULTS: Of 64 Massachusetts acute care hospitals, 58 (91%) completed the survey. Of all licensed inpatient beds in Massachusetts (n = 11 670), 19% (n = 2159) are licensed pediatric beds. During a disaster, 171 pediatric beds could be added. During standard and disaster operations, respiratory therapies were available in 36% (n = 21) and 69% (n = 40) of hospitals, respectively, with high flow nasal cannula being most common. The only surgical subspecialist available in the majority of hospitals (>50%) during standard operations is general surgery (59%, n = 34). In a disaster, only orthopedic surgery could additionally provide services in the majority hospitals (76%; n = 44). CONCLUSIONS: Massachusetts pediatric inpatient capacity is limited in a disaster scenario. Respiratory therapies could be available in more than half of hospitals in a disaster, but the majority of hospitals lack surgical subspecialists for children under any circumstance.

Poverty and Health Inequities in Children Investigated by Child Protective Services.

The objective of our study was to examine the association between poverty and child health outcomes in school-age children referred to child protective services. We conducted a secondary analysis of children aged 5 to 9 years in the Second National Survey of Child and Adolescent Well-Being, a nationally representative longitudinal observational data set of children referred to protective services for maltreatment (2008-2012). We analyzed the association of poverty, defined as family income below the federal poverty level (FPL), with caregiver report of the child's overall health, primary care, and emergency department visits using Pearson's chi-squared test. Children below FPL compared with children above it had poorer overall health (29.8% vs 18.0%, P = .03). We also conducted a longitudinal multivariable logistic regression analysis and found poverty was associated with the child's poorer overall health at 36 months (odds ratios 2.78, 95% confidence interval 1.55-5.01). Future studies and interventions to improve health in this at-risk population should target poverty.

Association of prescription drug monitoring programs with benzodiazepine prescription dispensation and overdose in adolescents and young adults.

INTRODUCTION: Prescription drug monitoring programs are state-run databases designed to support safe prescribing of controlled substances and reduce prescription drug misuse. We analyzed healthcare claims data to determine the association between prescription drug monitoring programs with mandated provider review and adolescent and young adult benzodiazepine prescription dispensing and overdose. METHODS: We performed a state-level retrospective cohort study to evaluate the association between implementation of prescription drug monitoring programs with mandated provider review and benzodiazepine prescription dispensing and benzodiazepine-related overdoses among adolescents (13-18 years) and young adults (19-25 years) between 1 January 2008 and 31 December 2019. Data were obtained from a United States commercial health insurance company. RESULTS: There were 74,539 (1.8%) adolescents and 246,760 (4.0%) young adults with at least one benzodiazepine prescription dispensed. Benzodiazepine overdoses occurred among 1,569 (0.04%) and 3,202 (0.05%) adolescents and young adults, respectively. Implementation of a prescription drug monitoring program with mandated provider review was associated with a 6.8% (95% CI, 1.6-11.8) yearly reduction in benzodiazepine prescription dispensing among adolescents and a 12.5% (95% CI, 9.3-15.5) yearly reduction among young adults. There was no decrease in benzodiazepine overdoses in either age group (-15.4% [95% CI, -21.5 to 3.0] and -8.0% [95% CI, -18.0 to 3.2] yearly change in adolescents and young adults, respectively). DISCUSSION: Consistent with prior work, our study did not find an association between prescription drug monitoring program implementation and reduction in benzodiazepine-related overdoses among adolescents and young adults. However, the substantial reduction in benzodiazepine prescription dispensing is encouraging. CONCLUSION: Prescription drug monitoring programs were associated with decreases in benzodiazepine prescription dispensing, but not benzodiazepine-related overdoses in this cohort of adolescents and young adults. These findings serve to inform development of further policies to address rising rates of benzodiazepine misuse and overdose in this patient population.

Mobile Social Screening and Referral Intervention in a Pediatric Emergency Department.

OBJECTIVE: Many families in pediatric emergency departments (PED) have unmet social needs, which may be detected and addressed with the use of a digital social needs intervention. Our objective was to characterize the feasibility and effectiveness of utilizing personal phones or a PED tablet for screening and referral to social services. METHODS: We conducted a prospective single-arm intervention study using a convenience sample of caregivers and adult patients in an urban PED between May 2019 and October 2020. Participants chose either their personal phone or a PED-provided tablet to use an app, "HelpSteps." Participants self-selected need(s) then referrals to service agencies. Participants completed a 1-month follow-up. Clinicians were surveyed about screening and impact on visit. RESULTS: Of 266 participants enrolled, 55% of participants elected to use their personal phone. Of all participants, 67% self-selected at least 1 health-related social need; 34% selected 3 or more. The top 3 "most important" needs were housing (14%), education (12%), and fitness (12%). At one month follow-up, 44% of participants reported their top need was "completely" or "somewhat" solved. For 95% of encounters, clinicians reported the intervention did not increase length of stay. CONCLUSIONS: A mobile social needs intervention was feasible and effective at identifying and referring participants in the PED setting. While more than half of participants used their personal phones, several smartphone owners cited barriers and elected to use a tablet. Overall, participants found the app easy to use, appropriate for the PED, and the intervention had minimal impact on clinical flow.

Racial and Ethnic Disparities in Access to Pediatric Trauma Centers in the United States: A Geographic Information Systems Analysis.

STUDY OBJECTIVE: Injury is the leading cause of death and disability for children, making access to pediatric trauma centers crucial to pediatric trauma care. Our objective was to describe the pediatric population with timely access to a pediatric trauma center by demographics and geography in the United States. METHODS: Level 1, 2, and 3 pediatric trauma center locations were provided by the American Trauma Society. Geographic information systems road network and rotor wing analysis determined US Census Block Groups with the ground and/or air access to a pediatric trauma center within a 60-minute transport time. We then described, at the national and state levels, the 2020 pediatric population (< 15 years old) with and without pediatric trauma center access by ground and air, stratified by race, ethnicity, and urbanicity. RESULTS: There were 157 pediatric trauma centers (82 Level 1, 64 Level 2, 11 Level 3). Of the 2020 US pediatric population, 33,352,872 (54.5%) had timely access to Level 1-3 pediatric trauma centers by ground and 45,431,026 (74.1%) by air. The percentage of children with access by race and ethnicity were (by ground, by air): American Indian/Alaskan Native (31.0%, 43.5%), White (48.7%, 71.3%), Native Hawaiian/Pacific Islander (59.3%, 61.0%), Hispanic (60.2%, 76.9%), Black (64.2%, 78.0%), and Asian (76.5%, 89.5%). Only 48.2% of children living in rural block groups had access, compared with 83.6% in urban block groups. CONCLUSION: Significant disparities in current access to pediatric trauma centers exist by race and ethnicity, and geography, leaving some children at risk for poor trauma outcomes.

Association of Neighborhood Conditions and Resources for Children With Life Expectancy at Birth in the US.

Importance: To address inequities in life expectancy, we must understand the associations of modifiable socioeconomic and structural factors with life expectancy. However, the association of limited neighborhood resources and deleterious physical conditions with life expectancy is not well understood. Objective: To evaluate the association of community social and economic conditions and resources for children with life expectancy at birth. Design, Setting, and Participants: This cross-sectional study examined neighborhood child opportunity and life expectancy using data from residents of 65 662 US Census tracts in 2015. The analysis was conducted from July 6 to October 1, 2021. Exposures: Neighborhood conditions and resources for children in 2015. Main Outcomes and Measures: The primary outcome was life expectancy at birth at the Census tract level based on data from the US Small-Area Life Expectancy Estimates Project (January 1, 2010, to December 31, 2015). Neighborhood conditions and resources for children were quantified by Census tract Child Opportunity Index (COI) 2.0 scores for 2015. This index captures community conditions associated with children's health and long-term outcomes categorized into 5 levels, from very low to very high opportunity. It includes 29 indicators in 3 domains: education, health and environment, and social and economic factors. Mixed-effects and simple linear regression models were used to estimate the associations between standardized COI scores (composite and domain-specific) and life expectancy. Results: The study included residents from 65 662 of 73 057 US Census tracts (89.9%). Life expectancy at birth across Census tracts ranged from 56.3 years to 93.6 years (mean [SD], 78.2 [4.0] years). Life expectancy in Census tracts with very low COI scores was lower than life expectancy in Census tracts with very high COI scores (-7.06 years [95% CI, -7.13 to -6.99 years]). Stepwise associations were observed between COI scores and life expectancy. For each domain, life expectancy was shortest in Census tracts with very low compared with very high COI scores (education: ß = -2.02 years [95% CI, -2.12 to -1.92 years]); health and environment: ß = -2.30 years [95% CI, -2.41 to -2.20 years]; social and economic: ß = -4.16 years [95% CI, -4.26 to -4.06 years]). The models accounted for 41% to 54% of variability in life expectancy at birth (R2 = 0.41-0.54). Conclusions and Relevance: In this study, neighborhood conditions and resources for children were significantly associated with life expectancy at birth, accounting for substantial variability in life expectancy at the Census tract level. These findings suggest that community resources and conditions are important targets for antipoverty interventions and policies to improve life expectancy and address health inequities.

Mortality During Readmission Among Children in United States Children's Hospitals.

OBJECTIVE: To identify demographic, clinical, and hospital factors associated with mortality on readmission within 180 days following an inpatient hospitalization. STUDY DESIGN: We conducted a retrospective cohort study including 33 US children's hospitals in the Pediatric Health Information System from January 2010 to June 2020. Our primary outcome was death during readmission within 180 days of an index hospitalization among children aged 0-18 years. Illness severity during the index hospitalization was defined according to the All Patient-Refined Diagnosis-Related Group-categorized illness severity (ie, minor, moderate, or major/extreme). We performed multivariable logistic regression analysis to identify factors during the index hospitalization associated with mortality during readmission. RESULTS: Among 2 677 111 children discharged, 337 385 (12.6%) were readmitted within 180 days of the index hospitalization and 2913 (0.8%) died during readmission. More than one-quarter (26.2%) of deaths among children who were readmitted and died occurred within 10 days after discharge from the index hospitalization. Factors independently associated with mortality during readmission included multiple complex chronic conditions, index admissions lasting >7 days, moderate or severe/extreme illness during the index hospitalization, and public insurance. Children whose race was reported as Black had greater odds of mortality during readmission compared with children of other races. CONCLUSIONS: Among hospitalized children, several demographic and clinical factors present during index hospitalizations were associated with mortality during readmission. Greater odds of mortality during readmission among children whose race was reported as Black likely reflects disparities in social determinants of health and clinical care. Interventions to reduce mortality during readmission may target high-risk populations in the period immediately following discharge.

National assessment of anti-epileptic drug exposures among pre-teens and adolescents, 2000-2020.

BACKGROUND AND OBJECTIVES: Anti-epileptic drugs (AEDs) are increasingly used to treat psychiatric conditions, exposing many children to potentially harmful medications. This includes adolescents, who are at higher risk for self-harm. The purpose of this study was to describe the epidemiology of pediatric AED poisonings and assess which AEDs are associated with more severe clinical outcomes. METHODS: This retrospective cross-sectional analysis examined single-substance AED exposure cases in pre-teens (10-14 years) and adolescents (15-19 years) reported to the National Poison Database System (NPDS) between 2000 and 2020 (cases through 2019 were included for trend analysis due to incomplete population data). We described characteristics of ingestions by age group, including AEDs implicated. RESULTS: There were 74,818 AED exposure cases reported to the NPDS, including 25,928 (34.7%) in pre-teens and 48,890 (65.3%) in adolescents. Among adolescents, 35,570 (72.8%) exposure cases were intentional, with 27,655 (56.6%) specifically related to a suspected suicide attempt. The most common AEDs implicated in poisonings were clonazepam (19.8%), valproic acid (15.3%), and lamotrigine (13.8%). The odds of hospitalization (adjusted odds ratio [aOR] 2.0 [95% confidence interval [CI], 2.0-2.1]), intubation (aOR 2.1 [95% CI, 1.8-2.4]), seizure (aOR 1.6 [95% CI, 1.4-1.9]), and serious outcome (aOR 1.8 [95% CI, 1.7-1.9]) were higher in the adolescent group compared to the pre-teen group. Intentional ingestions increased by a yearly rate of 2.8% (95% CI, 2.3-3.2). Intentional tiagabine exposure was associated with the greatest increased odds of serious outcome (aOR 4.7 [95% CI, 3.6-6.3]). DISCUSSION: In this cross-sectional analysis of pediatric AED exposure cases reported to the NPDS, AED poisonings among pre-teens and adolescents increased significantly between 2000 and 2019. Of particular concern is the large increase in intentional exposure cases related to AEDs. With the population-adjusted rate of epilepsy diagnoses remaining relatively unchanged, these results may indicate that the rise in AED exposure cases may be related to increased prescribing of AEDs for psychiatric indications as opposed to epilepsy. CONCLUSIONS: Pediatric AED poisonings reported to the NPDS are increasing, especially among adolescents engaging in intentional ingestions. These findings provide additional information for consideration in risk-benefit assessments when selecting medications for the treatment of psychiatric conditions in children.

Disparities in School Referrals for Agitation and Aggression to the Emergency Department.

OBJECTIVES: Describe the demographic and clinical characteristics of children presenting to the emergency department (ED) for agitation and aggression from school versus other sites. METHODS: We performed a retrospective cross-sectional study of children 5 to 18 years old who were evaluated in an urban tertiary care pediatric ED with a chief complaint of agitation or aggression. We examined demographics, disposition, and payments for children presenting from school versus other sites. We conducted multivariable logistic regression to identify predictors of referral site (school versus all other sites, school versus home) and discharge status (home versus higher level of psychiatric care). RESULTS: Of the 513 included children, 147 (29%) presented from school. Children were more likely to present from school versus other sites if they were Black (adjusted odds ratio [aOR] 2.26, 95% confidence interval [CI] 1.32, 3.88), Latinx (aOR 2.91, 95% CI 1.42, 5.97), or had special educational needs (aOR 2.55, 95% CI 1.64, 3.97). These associations persisted in the analysis of school versus home referrals. Children presenting from school versus all other sites were more likely to be discharged home (aOR 1.60, 95% CI 1.05, 2.44), although this difference did not persist when comparing school versus only home referral. A total of $154,269 (median $367 per encounter) was paid for school referrals to the ED. CONCLUSIONS: Children with agitation and aggression referred from school were more likely to be Black, Latinx, or have special educational needs. Future efforts should identify and address root causes of this disparity to decrease ED referrals, reduce healthcare spending, and address inequities.

Association of County-Level Poverty and Inequities With Firearm-Related Mortality in US Youth.

Importance: Youth firearm-related deaths are a public health crisis in the US. The association between county-level poverty and the risk of firearm-related deaths among youth is unknown, however. Objective: To examine the association between county-level poverty concentration and firearm-related mortality rates in US youth. Design, Setting, and Participants: This cross-sectional study analyzed US firearm fatalities in children and young adults aged 5 to 24 years that occurred between January 1, 2007, and December 31, 2016. Data were obtained from the Centers for Disease Control and Prevention's Compressed Mortality File, and annual intercensal county population data were obtained from the US Census Bureau. Data analyses were conducted between November 1, 2019, and June 30, 2020. Exposures: County-level poverty was categorized into 5 groups: 0% to 4.9%, 5% to 9.9%, 10% to 14.9%, 15% to 19.9%, and ≥20% of the population living below the federal poverty level. Main Outcomes and Measures: The main outcomes were firearm-related deaths in total and by specific intent (homicide, suicide, and unintentional) per 100 000 youths over the entire study period. Multivariable negative binomial regression models were used to analyze the association between firearm-related mortality rates and county poverty concentration, controlling for demographic variables, urbanicity, and statewide firearm prevalence. Adjusted incidence rate ratios (IRRs) were calculated, and statewide firearm prevalence was estimated. The population-attributable fraction (PAF) and years of potential life lost for each intent were calculated. Results: A total of 67 905 firearm-related deaths among youth (predominantly composed of 60 164 male individuals [88.6%]) from 2007 to 2016 were analyzed. Of these deaths, 42 512 were homicides (62.6%), 23 034 were suicides (33.9%), and 1627 were unintentional (2.4%). Firearm-related mortality risk increased in a stepwise manner with increasing county poverty concentration. Compared with counties with the lowest poverty concentration, counties with the highest poverty concentration had an increased rate of total firearm-related deaths (adjusted IRR, 2.29; 95% CI, 1.96-2.67), homicides (adjusted IRR, 3.55; 95% CI, 2.80-4.51), suicides (adjusted IRR, 1.45; 95% CI, 1.20-1.75), and unintentional deaths (adjusted IRR, 9.32; 95% CI, 2.32-37.4). The PAF was 0.51 (95% CI, 0.43-0.57) for all firearm-related deaths, 0.66 (95% CI, 0.57-0.73) for homicides, 0.30 (95% CI, 0.17-0.42) for suicides, and 0.86 (95% CI, 0.46-0.97) for unintentional deaths. This calculation translated to 34 292 firearm-related deaths that would not have occurred if all counties had the same risk as counties with the lowest poverty concentration. A total of 3 833 105 years of potential life lost was observed. Conclusions and Relevance: This study found an association between firearm-related mortality rates among youth and county-level poverty concentration. With more than half of firearm-related deaths and two-thirds of firearm-related homicides potentially associated with living in an area with a high concentration of poverty, a multidimensional strategy to reduce poverty and firearm-related deaths is urgently needed.

Correlation Between National Institutes of Health Funding for Pediatric Research and Pediatric Disease Burden in the US.

Importance: The US National Institutes of Health (NIH) is the largest government funding source for biomedical research globally. Burden of disease is one of the factors considered by the NIH in making funding allocations, though it is not known how funding patterns are associated with disease burden for pediatric conditions. Objective: To determine the correlation between NIH funding and disease burden across pediatric conditions. Design, Setting, and Participants: This cross-sectional study evaluates NIH grants funding pediatric research from 2015 to 2018 in the US. Pediatric grants were classified according to disease categories studied. Disease burden for each category was determined using measures from the Institute of Health Metrics and Evaluation and hospitalization data from the 2016 Kids' Inpatient Database. Main Outcome and Measure: Correlation between NIH funding and pediatric disease burden using Spearman rank order coefficients and predicted amounts of disease-specific funding based on disease burden estimated from linear regression models. Results: This study analyzed 14 060 disease-specific pediatric grants awarded by the NIH from 2015 to 2018 in the US. Annual funding for disease categories ranged from $0 to $382 849 631. Funding for pediatric research was correlated with pediatric disability-adjusted life-years (DALYs), deaths, years lived with disability, and years of life lost (r, 0.56-0.63; P < 0.001 for all measures). There was also a correlation between funding and hospital-based metrics, including hospital days, number of hospital admissions, and hospital charges (r, 0.67-0.69; P < .001 for all measures). Eight disease categories received greater than $500 million more than predicted levels relative to DALYs, while 5 disease categories were funded more than $50 million less than predicted levels. Based on predicted levels of funding, congenital birth defects; endocrine, metabolic, blood, and immune disorders; and HIV/AIDS were the most overfunded categories relative to DALYs and hospital days. Conditions identified as most underfunded differed depending on use of DALYs or hospital days in estimating predicted funding levels. Conclusions and Relevance: NIH funding for pediatric research was correlated with pediatric disease burden in the US with variable correlation based on the disease metric applied. There was substantial overfunding and underfunding of certain conditions. Ongoing evaluation of pediatric funding patterns using a complementary set of disease measures may help inform and prioritize pediatric research funding.

Association of limited English proficiency and increased pediatric emergency department revisits.

OBJECTIVE: Limited English proficiency (LEP) is a risk factor for health care inequity and an important focus for improving communication and care quality. This study examines the association between LEP and pediatric emergency department (ED) revisits. METHODS: This was a retrospective, cross-sectional study of patients 0 to 21 years old discharged home after an initial visit from an academic, tertiary care pediatric ED from January 1, 2017, to June 30, 2018. We calculated rates of ED revisits within 72 h resulting in discharge or hospitalization and assessed rate differences between LEP and English-proficient (EP) patients. Multivariable logistic regression models examined the association between revisits and LEP status controlling for age, race, ethnicity, triage acuity, clinical complexity, and ED arrival time. Sensitivity models including insurance were also conducted. RESULTS: There were 63,601 index visits in the study period; 12,986 (20%) were by patients with LEP. There were 2,387 (3.8%) revisits within 72 h of initial ED visit. Among LEP and EP patient visits, there were 4.53 and 3.55 revisits/100 initial ED visits, respectively (rate difference = 0.97, 95% confidence interval [CI] = 0.58 to 1.37). In the multivariable analyses, LEP was associated with increased odds of revisits resulting in discharge (odds ratio [OR] = 1.15, 95% CI = 1.01 to 1.30) and in hospitalization (OR = 1.28, 95% CI = 1.03 to 1.58). Sensitivity analyses additionally adjusting for insurance status attenuated these results. CONCLUSIONS: These results suggest that LEP was associated with increased pediatric ED revisits. Improved understanding of language barrier effects on clinical care is important for decreasing health care disparities in the ED.