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Importance: Suicide is a leading cause of death among US youths, and mental health disorders are a known factor associated with increased suicide risk. Knowledge about potential sociodemographic differences in documented mental health diagnoses may guide prevention efforts., Objective: To examine the association of documented mental health diagnosis with (1) sociodemographic and clinical characteristics, (2) precipitating circumstances, and (3) mechanism among youth suicide decedents., Design, Setting, and Participants: This retrospective, cross-sectional study of youth suicide decedents aged 10 to 24 years used data from the Centers for Disease Control and Prevention National Violent Death Reporting System from 2010 to 2021. Data analysis was conducted from January to November 2023., Exposures: Sociodemographic characteristics, clinical characteristics, precipitating circumstances, and suicide mechanism., Main Outcomes and Measures: The primary outcome was previously documented presence of a mental health diagnosis. Associations were evaluated by multivariable logistic regression., Results: Among 40 618 youth suicide decedents (23 602 aged 20 to 24 years [58.1%]; 32 167 male [79.2%]; 1190 American Indian or Alaska Native [2.9%]; 1680 Asian, Native Hawaiian, or Other Pacific Islander [4.2%]; 5118 Black [12.7%]; 5334 Hispanic [13.2%]; 35 034 non-Hispanic; 30 756 White [76.1%]), 16 426 (40.4%) had a documented mental health diagnosis and 19 027 (46.8%) died by firearms. The adjusted odds of having a mental health diagnosis were lower among youths who were American Indian or Alaska Native (adjusted odds ratio [aOR], 0.45; 95% CI, 0.39-0.51); Asian, Native Hawaiian, or Other Pacific Islander (aOR, 0.58; 95% CI, 0.52-0.64); and Black (aOR, 0.62; 95% CI, 0.58-0.66) compared with White youths; lower among Hispanic youths (aOR, 0.76; 95% CI, 0.72-0.82) compared with non-Hispanic youths; lower among youths aged 10 to 14 years (aOR, 0.70; 95% CI, 0.65-0.76) compared with youths aged 20 to 24 years; and higher for females (aOR, 1.64; 95% CI, 1.56-1.73) than males. A mental health diagnosis was documented for 6308 of 19 027 youths who died by firearms (33.2%); 1691 of 2743 youths who died by poisonings (61.6%); 7017 of 15 331 youths who died by hanging, strangulation, or suffocation (45.8%); and 1407 of 3181 youths who died by other mechanisms (44.2%). Compared with firearm suicides, the adjusted odds of having a documented mental health diagnosis were higher for suicides by poisoning (aOR, 1.70; 95% CI, 1.62-1.78); hanging, strangulation, and suffocation (aOR, 2.78; 95% CI, 2.55-3.03); and other mechanisms (aOR, 1.59; 95% CI, 1.47-1.72)., Conclusions and Relevance: In this cross-sectional study, 3 of 5 youth suicide decedents did not have a documented preceding mental health diagnosis; the odds of having a mental health diagnosis were lower among racially and ethnically minoritized youths than White youths and among firearm suicides compared with other mechanisms. These findings underscore the need for equitable identification of mental health needs and universal lethal means counseling as strategies to prevent youth suicide.

Background: Redlining began in the 1930s with the Home Owners' Loan Corporation (HOLC); this discriminatory practice limited mortgage availability and reinforced concentrated poverty that still exists today. It is important to understand the potential health implications of this federally sanctioned segregation., Objective: To examine the relationship between historical redlining policies and present-day nonsuicide firearm fatalities., Design: Maps from the HOLC were overlaid with incidence of nonsuicide firearm fatalities from 2014 to 2022. A multilevel negative binomial regression model tested the association between modern-day firearm fatalities and HOLC historical grading (A ["best"] to D ["hazardous"]), controlling for year, HOLC area-level demographics, and state-level factors as fixed effects and a random intercept for city. Incidence rates (IRs) per 100 000 persons, incidence rate ratios (IRRs), and adjusted IRRs (aIRRs) for each HOLC grade were estimated using A-rated areas as the reference., Setting: 202 cities with areas graded by the HOLC in the 1930s., Participants: Population of the 8597 areas assessed by the HOLC., Measurements: Nonsuicide firearm fatalities., Results: From 2014 to 2022, a total of 41 428 nonsuicide firearm fatalities occurred in HOLC-graded areas. The firearm fatality rate increased as the HOLC grade progressed from A to D. In A-graded areas, the IR was 3.78 (95% CI, 3.52 to 4.05) per 100 000 persons per year. In B-graded areas, the IR, IRR, and aIRR relative to A areas were 7.43 (CI, 7.24 to 7.62) per 100 000 persons per year, 2.12 (CI, 1.94 to 2.32), and 1.42 (CI, 1.30 to 1.54), respectively. In C-graded areas, these values were 11.24 (CI, 11.08 to 11.40) per 100 000 persons per year, 3.78 (CI, 3.47 to 4.12), and 1.90 (CI, 1.75 to 2.07), respectively. In D-graded areas, these values were 16.26 (CI, 16.01 to 16.52) per 100 000 persons per year, 5.51 (CI, 5.05 to 6.02), and 2.07 (CI, 1.90 to 2.25), respectively., Limitation: The Gun Violence Archive relies on media coverage and police reports., Conclusion: Discriminatory redlining policies from 80 years ago are associated with nonsuicide firearm fatalities today., Primary Funding Source: Fred Lovejoy Housestaff Research and Education Fund., Competing Interests: Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M23-2496.

Background: Healthcare delivery organizations are increasingly screening patients for social risks using tools that vary in content and length., Objectives: To compare two screening tools both containing questions related to financial hardship., Design: Cross-sectional survey., Participants: Convenience sample of adult patients (n = 471) in three primary care clinics., Main Measures: Participants randomly assigned to self-complete either: (1) a screening tool developed by the Centers for Medicare & Medicaid Services (CMS) consisting of six questions on financial hardship (housing stability, housing quality, food security, transportation security, utilities security); or (2) social and behavioral risk measures recommended by the National Academy of Medicine (NAM), including one question on financial hardship (financial strain). We compared patient acceptability of screening, positive screening rates for financial hardship, patient interest in assistance, and self-rated health., Results: Ninety-one percent of eligible/interested patients completed the relevant survey questions to be included in the study (N = 471/516). Patient acceptability was high for both tools, though more participants reported screening was appropriate when answering the CMS versus NAM questions (87% vs. 79%, p = 0.02). Of respondents completing the CMS tool, 57% (132/232) reported at least one type of financial hardship; on the NAM survey, 52% (125/239) reported financial hardship (p = 0.36). Nearly twice as many respondents indicated interest in assistance related to financial hardship after completing items on the CMS tool than on the NAM question (39% vs. 21%, p < 0.01)., Conclusions: Patients reported high acceptability of both social risk assessment tools. While rates of positive screens for financial hardship were similar across the two measures, more patients indicated interest in assistance after answering questions about financial hardship on the CMS tool. This might be because the screening questions on the CMS tool help patients to appreciate the types of assistance related to financial hardship that may be available after screening. Future research should assess the validity and comparative validity of individual measures and measure sets. Tool selection should be based on setting and population served, screening goals, and resources available., (© 2023. The Author(s), under exclusive licence to Society of General Internal Medicine.)

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., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Burdick et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objectives: To examine how timing of the first outpatient mental health (MH) visit after a pediatric firearm injury varies by sociodemographic and clinical characteristics., Methods: We retrospectively studied children aged 5 to 17 years with a nonfatal firearm injury from 2010 to 2018 using the IBM Watson MarketScan Medicaid database. Logistic regression estimated the odds of MH service use in the 6 months after injury, adjusted for sociodemographic and clinical characteristics. Cox proportional hazard models, stratified by previous MH service use, evaluated variation in timing of the first outpatient MH visit by sociodemographic and clinical characteristics., Results: After a firearm injury, 958 of 2613 (36.7%) children used MH services within 6 months; of these, 378 of 958 (39.5%) had no previous MH service use. The adjusted odds of MH service use after injury were higher among children with previous MH service use (adjusted odds ratio, 10.41; 95% confidence interval [CI], 8.45-12.82) and among non-Hispanic white compared with non-Hispanic Black children (adjusted odds ratio, 1.29; 95% CI, 1.02-1.63). The first outpatient MH visit after injury occurred sooner among children with previous MH service use (adjusted hazard ratio, 6.32; 95% CI, 5.45-7.32). For children without previous MH service use, the first MH outpatient visit occurred sooner among children with an MH diagnosis made during the injury encounter (adjusted hazard ratio, 2.72; 95% CI, 2.04-3.65)., Conclusions: More than 3 in 5 children do not receive MH services after firearm injury. Previous engagement with MH services and new detection of MH diagnoses during firearm injury encounters may facilitate timelier connection to MH services after injury., (Copyright © 2023 by the American Academy of Pediatrics.)

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.

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., (Copyright © 2022 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

The legal and medical rights of lesbian, gay, bisexual, transgender, queer (LGBTQ+) and other gender and sexual minority (GSM) youth are under attack in the United States. Approximately 160 anti-LGBTQ+ bills were proposed across the United States during the 2021 legislative session, with 70% of states considering at least one anti-LGBTQ+ bill. Over one hundred of the proposed bills specifically target transgender youth and have already resulted in the prohibition of nearly 85,000 13-17-year-old trans youth from participating in sports as their affirmed gender. Such legislation directly impacts the health of youth including in Arkansas and Tennessee which passed bills that limit youth access to evidenced-based, gender-affirming care; in February 2022, the governor of Texas directed state agencies to investigate gender-affirming care for trans youths as 'child abuse'. Despite these anti-LGBTQ+ proposed and passed laws, 22 states have full non-discrimination protections for LQBTQ+ individuals, and 24 states have laws that protect LGBTQ+ students from bullying on the basis of their sexual orientation and/or gender identity. Civil rights policies have the power to grant protections to LGBTQ+ youth under the law. Conversely, the rollback of those liberties may lead to irreparable harm and preventable deaths. The consequences of anti-LGBTQ+ legislation can additionally deleteriously affect local and state economies as companies and organizations move to supportive communities. Clinicians can, and should, play an important role to engage stakeholders and advocate for LGBTQ+ inclusive policies at the institutional, local, state, and national policy level., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Introduction: Firearm injuries are a leading cause of morbidity among children, but data on healthcare utilization and expenditures after injury are limited. This study sought to analyze healthcare encounters and expenditures for 2 years after a nonfatal firearm injury., Methods: A retrospective cohort study was conducted between 2020 and 2022 of children aged 0-18 years with International Classification of Diseases, Ninth Revision/ICD-10 diagnosis codes for firearm injury from 2010 to 2016 in the Medicaid MarketScan claims database. Outcomes included the difference in healthcare encounters and expenditures, including mental health. Descriptive statistics characterized patient demographics and healthcare utilization. Changes in health expenditures were evaluated with Wilcoxon sign rank tests., Results: Among 911 children, there were 12,757 total healthcare encounters in the year before the index firearm injury, 15,548 1 encounters in the year after (p<0.001), and 10,228 total encounters in the second year (p<0.001). Concomitantly, there was an overall increase of $14.4 million in health expenditures ($11,415 per patient) 1 year after (p<0.001) and a $0.8 million decrease 2 years after the firearm injury (p=0.001). The children with low previous expenditures (majority of sample) had sustained increases throughout the second year after injury. There was a 31% and 37% absolute decrease in mental health utilization and expenditures, respectively, among children 2 years after the firearm injury., Conclusions: Children who experience nonfatal firearm injury have an increased number of healthcare encounters and healthcare expenditures in the year after firearm injury, which is not sustained for a second year. Mental health utilization and expenditures remain decreased up to 2 years after a firearm injury. More longitudinal research on the morbidity associated with nonfatal firearm injuries is needed., (Copyright © 2022 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Importance: Firearm fatality rates in the United States have reached a 28-year high. Describing the evolution of firearm fatality rates across intents, demographics, and geography over time may highlight high-risk groups and inform interventions for firearm injury prevention., Objective: To understand variations in rates of firearm fatalities stratified by intent, demographics, and geography in the US., Design, Setting, and Participants: This cross-sectional study analyzed firearm fatalities in the US from 1990 to 2021 using data from the Centers for Disease Control and Prevention. Heat maps, maximum and mean fatality rate graphs, and choropleth maps of county-level rates were created to examine trends in firearm fatality rates by intent over time by age, sex, race, ethnicity, and urbanicity of individuals who died from firearms. Data were analyzed from December 2018 through September 2022., Main Outcomes and Measures: Rates of firearm fatalities by age, sex, race, ethnicity, urbanicity, and county of individuals killed stratified by specific intent (suicide or homicide) per 100 000 persons per year., Results: There were a total of 1 110 421 firearm fatalities from 1990 to 2021 (952 984 among males [85.8%] and 157 165 among females [14.2%]; 286 075 among Black non-Hispanic individuals [25.8%], 115 616 among Hispanic individuals [10.4%], and 672 132 among White non-Hispanic individuals [60.5%]). All-intents total firearm fatality rates per 100 000 persons declined to a low of 10.1 fatalities in 2004, then increased to 14.7 fatalities (45.5% increase) by 2021. From 2014 to 2021, male and female firearm homicide rates per 100 000 persons per year increased from 5.9 to 10.9 fatalities (84.7% increase) and 1.1 to 2.0 fatalities (87.0% increase), respectively. Firearm suicide rates were highest among White non-Hispanic men aged 80 to 84 years (up to 46.8 fatalities/100 000 persons in 2021). By 2021, maximum rates of firearm homicide were up to 22.5 times higher among Black non-Hispanic men (up to 141.8 fatalities/100 000 persons aged 20-24 years) and up to 3.6 times higher among Hispanic men (up to 22.8 fatalities/100 000 persons aged 20-24 years) compared with White non-Hispanic men (up to 6.3 fatalities/100 000 persons aged 30-34 years). Males had higher rates of suicide (14.1 fatalities vs 2.0 fatalities per 100 000 persons in 2021) and homicide (10.9 fatalities vs. 2.0 fatalities per 100 000 persons in 2021) compared with females. Metropolitan areas had higher homicide rates than nonmetropolitan areas (6.6 fatalities vs 4.8 fatalities per 100 000 persons in 2021). Firearm fatalities by county level increased over time, spreading from the West to the South. From 1999 to 2011 until 2014 to 2016, fatalities per 100 000 persons per year decreased from 10.6 to 10.5 fatalities in Western states and increased from 12.8 to 13.9 fatalities in Southern states., Conclusions and Relevance: This study found marked disparities in firearm fatality rates by demographic group, which increased over the past decade. These findings suggest that public health approaches to reduce firearm violence should consider underlying demographic and geographic trends and differences by intent.

Objectives: To describe the epidemiology of pediatric injury-related visits to children's hospital emergency departments (EDs) in the United States during early and later periods of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic., Methods: We conducted a cross-sectional study using the Pediatric Health Information System, an administrative database to identify injury-related ED visits at 41 United States children's hospitals during the SARS-CoV-2 pandemic period (March 15, 2020 to March 14, 2021) and a 3 year comparator period (March 15-March 14, 2017-2020). For these 2 periods, we compared patient characteristics, injury type and severity, primary discharge diagnoses, and disposition, stratified by early (March 15, 2020 to June 30, 2020), middle (July 1, 2020 to October 31, 2020), and late (November 1, 2020 to March 14, 2021) pandemic periods., Results: Overall, ED injury-related visits decreased by 26.6% during the first year of the SARS-CoV-2 pandemic, with the largest decline observed in minor injuries. ED injury-related visits resulting in serious-critical injuries increased across the pandemic (15.9% early, 4.9% middle, 20.6% late). Injury patterns with the sharpest relative declines included superficial injuries (41.7% early) and sprains/strains (62.4% early). Mechanisms of injury with the greatest relative increases included (1) firearms (22.9% early; 42.8% middle; 37% late), (2) pedal cyclists (60.4%; 24.9%; 32.2%), (3) other transportation (20.8%; 25.3%; 17.9%), and (4) suffocation/asphyxiation (21.4%; 20.2%; 28.4%) and injuries because of suicide intent (-16.2%, 19.9%, 21.8%)., Conclusions: Pediatric injury-related ED visits declined in general. However, there was a relative increase in injuries with the highest severity, which warrants further investigation., (Copyright © 2022 by the American Academy of Pediatrics.)

Objective: To compare new mental health diagnoses (NMHD) in children after a firearm injury versus following a motor vehicle collision (MVC)., Background: A knowledge gap exists regarding childhood mental health diagnoses following firearm injuries, notably in comparison to other forms of traumatic injury., Methods: We utilized Medicaid MarketScan claims (2010-2016) to conduct a matched case-control study of children ages 3 to 17 years. Children with firearm injuries were matched with up to 3 children with MVC injuries. Severity was determined by injury severity score and emergency department disposition. We used multivariable logistic regression to measure the association of acquiring a NMHD diagnosis in the year postinjury after firearm and MVC mechanisms., Results: We matched 1450 children with firearm injuries to 3691 children with MVC injuries. Compared to MVC injuries, children with firearm injuries were more likely to be black, have higher injury severity score, and receive hospital admission from the emergency department ( P <0.001). The adjusted odds ratio (aOR) of NMHD diagnosis was 1.55 [95% confidence interval (95% CI): 1.33-1.80] greater after firearm injuries compared to MVC injuries. The odds of a NMHD were higher among children admitted to the hospital compared to those discharged. The increased odds of NMHD after firearm injuries was driven by increases in substance-related and addictive disorders (aOR: 2.08; 95% CI: 1.63-2.64) and trauma and stressor-related disorders (aOR: 2.07; 95% CI: 1.55-2.76)., Conclusions: Children were found to have 50% increased odds of having a NMHD in the year following a firearm injury as compared to MVC. Programmatic interventions are needed to address children's mental health following firearm injuries., Competing Interests: The authors report no conflicts of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Competing Interests: LKL receives royalties from Springer Nature as an editor and author for the book, Pediatric Firearm Injuries and Fatalities; grant funding from the National Institute on Alcohol Abuse and Alcoholism (NIAA); and honoraria for speaking engagements from the American Academy of Pediatrics, Golisano Children's Hospital, the Medical College of Wisconsin, and the Milwaukee Medical Society; and has leadership roles in the American Academy of Pediatrics, Council on Injury, Violence, and Poison Prevention, and the Injury Free Coalition for Kids. EWF receives royalties from Springer Nature as an editor and author for the book, Pediatric Firearm Injuries and Fatalities. AK receives grant funding from the NIAA and National Institute of Child Health and Human Development and honoraria for speaking engagements from the Destiny Hill Church and Greater Mt Calvary Baptist Church; and has leadership roles in the American Academy of Pediatrics, Council on Injury, Violence, and Poison Prevention, and Fraser. All other authors declare no competing interests.

Importance: Equitable representation of participants who are members of racial and ethnic minority groups in clinical trials enhances inclusivity in the scientific process and generalizability of results., Objective: To assess participant race and ethnicity in pediatric clinical trials published from 2011 to 2020., Design, Setting, and Participants: This cross-sectional study examined articles reporting pediatric clinical trials conducted in the US published in 5 leading general pediatric and 5 leading general medical journals from January 1, 2011, to December 31, 2020., Main Outcomes and Measures: Reporting of participant race and ethnicity and comparison of enrolled participants vs US census populations of pediatric racial and ethnic groups in published clinical trials., Results: The study included 612 articles reporting pediatric clinical trials during the study period, with 565 618 total participants (median per trial, 200 participants [IQR, 90-571 participants]). Of the 612 articles, 486 (79.4%) reported participant race and 338 (55.2%) reported participant ethnicity. From 2011 to 2020, relative rates of reporting of participant race increased by 7.9% per year (95% CI, 0.2%-16.3% per year) and reporting of ethnicity increased by 11.4% per year (95% CI, 4.8%-18.4% per year). Among articles reporting race and ethnicity, the method of assignment was not reported in 261 of 511 articles (51.1%) and 207 of 359 articles (57.7%), respectively. Black/African American children were enrolled proportionally more than the US population of Black/African American children (odds ratio [OR], 1.88; 95% CI, 1.87-1.89). Hispanic/Latino children were enrolled commensurately with the US population of Hispanic/Latino children (OR, 1.02; 95% CI, 1.01-1.03). American Indian/Alaska Native (OR, 0.82; 95% CI, 0.79-0.85), Asian (OR, 0.56; 95% CI, 0.55-0.57), and Native Hawaiian/Pacific Islander (OR, 0.66; 95% CI, 0.61-0.72) children were enrolled significantly less compared with the respective US populations of these groups. White children were enrolled less than expected (OR, 0.84; 95% CI, 0.84-0.85) but represented 188 156 (46.0%) of participants in trials reporting race or ethnicity., Conclusions and Relevance: This cross-sectional study revealed that the proportion of published pediatric clinical trials that reported participant race and ethnicity increased from 2011 to 2020, but participant race and ethnicity were still underreported. Disparities existed in pediatric clinical trial enrollment of American Indian/Alaska Native, Asian, and Native Hawaiian/Pacific Islander children. The greater representation of Black/African American children compared with the US population suggests inclusive research practices that could be extended to other historically disenfranchised racial and ethnic groups.

Study Objective: To examine trends in trauma-related pediatric emergency department (ED) visits and management in US children's hospitals over 10 years., Methods: This is a retrospective, descriptive study of the Pediatric Health Information Systems database, including encounters from 33 US children's hospitals. We included patients aged 0 to 19 years with traumatic injuries from 2010 to 2019 identified using International Classification of Diseases-9 and -10 codes. The primary outcome was prevalence of trauma-related ED visits. The secondary outcomes included ED disposition, advanced imaging use, and trauma care costs. We examined trends over time with Poisson regression models, reporting incidence rate ratios (IRRs) with 95% confidence intervals (CIs). We compared demographic groups with rate differences with 95% CIs., Results: Trauma-related visits accounted for 367,072 ED visits (16.3%) in 2010 and 479,458 ED visits (18.1%) in 2019 (IRR 1.022, 95% CI 1.018 to 1.026). From 2010 to 2019, 54.6% of children with traumatic injuries belonged to White race and 23.9% had Hispanic ethnicity. Institutional hospitalization rates (range 3.8% to 14.9%) decreased over time (IRR 0.986, 95% CI 0.977 to 0.994). Hospitalizations from 2010 to 2019 were higher in White children (8.9%) than in children of other races (6.4%) (rate difference 2.56, 95% CI 2.51 to 2.61). Magnetic resonance imaging for brain (IRR 1.05, 95% CI 1.04 to 1.07) and cervical spine (IRR 1.03, 95% CI 1.02 to 1.05) evaluation increased. The total trauma care costs were $6.7 billion, with median costs decreasing over time., Conclusion: During the study period, pediatric ED visits for traumatic injuries increased, whereas hospitalizations decreased. Some advanced imaging use increased; however, median trauma costs decreased over time., (Copyright © 2021 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

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.

Objective: To identify contributing factors associated with rapid spikes and declines in Chicago youth homicide from 2009 to 2018., Setting: City of Chicago, Illinois, US 2009-2018., Participants: Homicide count data come from the National Violent Death Reporting System. The study included information on 2271 homicide decedents between the ages of 15 and 24 who died between 1 January 2009 and 31 December 2018. Of these decedents, 92.9% were male; 79.1% were non-Hispanic black; and 94.9% died from a firearm injury. PRIMARY AND SECONDARY OUTCOME MEASURES: (A) Temporal shifts in monthly homicide rates and (B) temporal associations between social, environmental and economic conditions/events and fluctuations in homicides., Results: We found statistically significant shifts in homicide rates over time: a 77% rise in monthly youth homicide rates per 100 000 persons from 2015 to 2016 (4.3 vs 7.5); dropping back to pre-2015 rates (4.3) by mid-2017. There was a temporal co-occurrence between the rapid rise in youth homicides and absence of a state budget. Conversely, we found a temporal co-occurrence of the sharp decline in homicides with the reinstatement of a state budget. Adjusting for seasonality, we found death rates were greater in the months without a budget compared with months with a budget (1.48, 95% CI 1.29 to 1.70)., Conclusions: Our findings suggest that state funding may be a potential protective factor against youth homicide., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

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.

Introduction: Screening for interpersonal violence is used in healthcare settings to identify patients experiencing violence. However, using unvalidated screening tools may misclassify patients' experience with violence. The Center for Medicare & Medicaid Innovation adapted a previously validated intimate partner violence screening tool for use in assessing interpersonal violence and retained the tool's original scoring rubric, despite the new tool's broader scope. This study evaluates the scoring system for detecting safety concerns., Methods: This was a cross-sectional survey of a convenience sample of adult patients and caregivers of pediatric patients at 7 primary care clinics and 4 emergency departments (2018-2019). Surveys included the adapted 4-item Hurt Insult Threat Scream tool. Questions are scored by frequency on a Likert scale (1=never; 5=frequently). Scores of 11-20 are considered positive for safety concerns. Two-sided Fisher's exact tests were used for descriptive analyses. Data analyses occurred in 2019-2020., Results: Of 1,014 participants, 66 (6.5%) reported any frequency of physical violence. Of these, 54 (81.8%) did not reach the threshold score of 11. Of the 1,014 participants, 93 (9.2%) reported any frequency of physical violence or being threatened with harm; 76 of 93 participants (81.7%) scored <11., Conclusions: Using the original scoring criteria for the adapted Hurt Insult Threat Scream, >80% of participants reporting physical violence did not screen positive for potential safety concerns. The scoring criteria did not reliably identify participants experiencing or at high risk for violence. To improve patient safety, the adapted Hurt Insult Threat Scream scoring rubric should be updated on the basis of stakeholder input and additional validation studies., (Copyright © 2021 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

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., (© 2021 by the Society for Academic Emergency Medicine.)

Emergency departments frequently serve marginalized populations. Spanish-speaking families who come to the ED often have high rates of unmet social needs. Our study investigated how to efficiently screen families for unmet social needs in an emergency department. Participants who screened positive for needs were referred to geographically convenient, community-based resources. It became clear that barriers related to language discordance existed for recruiting Spanish-speaking participants that were not present for English-speaking participants, which we believe exacerbate existing inequities and must be addressed. We advocate for the extension of the Affordable Care Act Section 1557 to mandate expanded teams of interpreters to meet both clinical and research demands in conjunction with purposeful hiring of multilingual research assistants, along with concerted effort to standardize the certification process for multilingual staff. Prohibitive costs for the translation of written research materials need to be decreased and journals should evaluate submitted research with a language equity lens, which will help the field of clinical research prioritize inclusivity and diversity in research populations. Currently, systemic barriers complicate enrolling research participants who speak a language other than English, and we believe the proposed changes are feasible solutions to overcome these obstacles. Equitable representation in research is a critical part of addressing the legacy of oppression and exclusion within healthcare systems. Language equity is not a panacea for the distrust and systemic racism patients of color experience within our healthcare system that often prevent participation in clinical research, but it is a key first step., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objective: To determine the associations of social and physical neighborhood conditions with recurrent emergency department (ED) utilization by children in the US., Study Design: This cross-sectional study was conducted with the National Survey of Children's Health from 2016 to 2018 to determine the associations of neighborhood characteristics of cohesion, safety, amenities, and detractors with the proportions of children aged 1-17 years with recurrent ED utilization, defined as 2 or more ED visits during the past 12 months. A multivariable regression model was used to determine the independent association of each neighborhood characteristic with recurrent ED utilization controlling for individual-level characteristics., Results: In this study of 98 711 children weighted to a population of 70 million nationally, children had significantly greater rates of recurrent ED utilization if they lived in neighborhoods that were not cohesive, were not safe, or had detractors present (all P < .001). With adjustment for individual-level covariates and the other neighborhood characteristics, only neighborhood detractors were independently associated with recurrent ED utilization (1 detractor: aOR 1.32, 95% CI 1.03-1.68; 2 or 3 detractors: aOR 1.37, 95% CI 1.04-1.81)., Conclusions: Among neighborhood characteristics, the presence of physical detractors such as rundown housing and vandalism was most strongly associated with recurrent ED utilization by children. Negative attributes of the built environment may be a potential target for neighborhood-level, place-based interventions to alleviate disparities in child healthcare utilization., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Background and Objectives: The coronavirus disease 2019 (COVID-19) pandemic has led to changes in health care use, including decreased emergency department visits for children. In this study, we sought to describe the impact of the COVID-19 pandemic on inpatient use within children's hospitals., Methods: We performed a retrospective study using the Pediatric Health Information System. We compared inpatient use and clinical outcomes for children 0 to 18 years of age during the COVID-19 period (March 15 to August 29, 2020) to the same time frame in the previous 3 years (pre-COVID-19 period). Adjusted generalized linear mixed models were used to examine the association of the pandemic period with inpatient use. We assessed trends overall and for a subgroup of 15 medical All Patient Refined Diagnosis Related Groups (APR-DRGs)., Results: We identified 424 856 hospitalizations (mean: 141 619 hospitalizations per year) in the pre-COVID-19 period and 91 532 in the COVID-19 period. Compared with the median number of hospitalizations in the pre-COVID-19 period, we observed declines in hospitalizations overall (35.1%), and by APR-DRG (range: 8.5%-81.3%) with asthma (81.3%), bronchiolitis (80.1%), and pneumonia (71.4%) experiencing the greatest declines. Overall readmission rates were lower during the COVID-19 period; however, other outcomes, including length of stay, cost, ICU use, and mortality remained similar to the pre-COVID-19 period with some variability by APR-DRGs., Conclusions: US children's hospitals observed substantial reductions in inpatient admissions with largely unchanged hospital-level outcomes during the COVID-19 pandemic. Although the impact on use varied by condition, the most notable declines were related to inpatient admissions for respiratory conditions, including asthma, bronchiolitis, and pneumonia., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2021 by the American Academy of Pediatrics.)

Background and Objectives: The impact of the coronavirus disease 2019 (COVID-19) pandemic on pediatric emergency department (ED) visits is not well characterized. We aimed to describe the epidemiology of pediatric ED visits and resource use during the pandemic., Methods: We conducted a cross-sectional study using the Pediatric Health Information System for ED visits to 27 US children's hospitals during the COVID-19 pandemic period (March 15, 2020, to August 31, 2020) and a 3-year comparator period (March 15 to August 31, 2017-2019). ED visit rates, patient and visit characteristics, resource use, and ED charges were compared between the time periods. We specifically evaluated changes in low-resource-intensity visits, defined as ED visits that did not result in hospitalization or medication administration and for which no laboratory tests, diagnostic imaging, or procedures were performed., Results: ED visit rates decreased by 45.7% (average 911 026 ED visits over 2017-2019 vs 495 052 visits in 2020) during the pandemic. The largest decrease occurred among visits for respiratory disorders (70.0%). The pandemic was associated with a relative increase in the proportion of visits for children with a chronic condition from 23.7% to 27.8% ( P < .001). The proportion of low-resource-intensity visits decreased by 7.0 percentage points, and total charges decreased by 20.0% during the pandemic period., Conclusions: The COVID-19 pandemic was associated with a marked decrease in pediatric ED visits across a broad range of conditions; however, the proportional decline of poisoning and mental health visits was less pronounced. The impact of decreased visits on patient outcomes warrants further research., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2021 by the American Academy of Pediatrics.)

Importance: Health care organizations are increasingly incorporating social risk screening into patient care. Studies have reported wide variations in patients' interest in receiving health care-based assistance for identified social risks. However, no study to date has examined the factors associated with patients' interest in receiving assistance, including whether interest in receiving assistance varies based on specific patient demographic characteristics. Targeted research on this topic could improve the success of health care-based programs that offer social care services., Objective: To identify participant characteristics associated with interest in receiving health care-based social risk assistance., Design, Setting, and Participants: This cross-sectional study was conducted in 7 primary care clinics and 4 emergency departments in 9 US states between July 2, 2018, and February 13, 2019. A convenience sample of adult patients and adult caregivers of pediatric patients completed a screening survey that measured social risk factors and participants' interest in receiving assistance for identified social risks. Participants were randomly selected to receive 1 of 2 versions of the survey, which differed based on the order in which questions about social risks and interest in receiving assistance were presented. Multivariable logistic regression analyses were used to evaluate the associations between covariates and participants' interest in receiving assistance, stratified by social risk screening results. Data were analyzed from September 8, 2019, to July 30, 2020., Exposures: Social risk screening questions assessed risk factors comprising housing, food, transportation, utilities, and exposure to interpersonal violence. Additional questions assessed participants' interest in receiving assistance and their perspectives on health care-based social risk screening., Main Outcomes and Measures: Participant interest in receiving health care-based social risk assistance., Results: A total of 1021 adult participants with complete survey responses were included in the analysis. Of those, 709 of 1004 participants (70.6%) were female, and 544 of 1007 participants (54.0%) were aged 18 to 44 years. Overall, 353 of 662 participants (53.3%) with positive screening results for 1 or more social risk factors were interested in receiving assistance, whereas 31 of 359 participants (8.6%) with negative screening results for all social risks were interested in receiving assistance. Participants with positive screening results for 1 or more social risk factors had a higher likelihood of being interested in receiving assistance if they answered the question about interest in receiving assistance before they answered the questions about social risk factors (adjusted odds ratio [aOR], 1.48; 95% CI, 1.05-2.07), had positive screening results for a higher number of social risk factors (aOR, 2.40; 95% CI, 1.68-3.42), reported lower household income levels (aOR, 7.78; 95% CI, 2.96-20.44), or self-identified as having non-Hispanic Black ancestry (aOR, 2.22; 95% CI, 1.37-3.60). Among those with negative screening results for all social risk factors, the interest in receiving assistance was higher if the participants reported lower household income levels (aOR, 12.38; 95% CI, 2.94-52.15), previous exposure to health care-based social risk screening (aOR, 2.35; 95% CI, 1.47-3.74), higher perceived appropriateness of social risk screening (aOR, 3.69; 95% CI, 1.08-12.55), or worse health status (aOR, 4.22; 95% CI, 1.09-16.31)., Conclusions and Relevance: In this study, multiple factors were associated with participants' interest in receiving social risk assistance. These findings may have implications for how and when social risk assistance is offered to patients. As the health care system's role in addressing social risk factors evolves, an understanding of patients' perspectives regarding screening and their interest in receiving assistance may be important to implementing patient-centered interventions.

Importance: Firearms caused more than 500 pediatric fatalities in 2017-a 50% increase from 2009. Laws regulating firearms are one approach to reducing pediatric firearm fatalities., Objective: To evaluate the association between state child access prevention (CAP) firearm laws and pediatric firearm fatalities., Design, Setting, and Participants: A state-level, cross-sectional study of CAP firearm laws throughout the United States, 1991-2016, was conducted using negative binomial regression to analyze differences in state fatality rates in children aged 0 to 14 years. Data analysis was performed from November 21, 2018, to October 18, 2019., Exposures: Implementation of 2 categories of state CAP firearm laws: recklessness laws, which pertain to providing a firearm to a child, and negligence laws, which pertain to accessibility of a firearm within the home., Main Outcomes and Measures: Rates of firearm fatalities across all intents and by specific intent (homicide, suicide, and unintentional) per 100 000 children aged 0 to 14 years., Results: Twenty-five states passed CAP laws between 1989 and 2000. Between 1991 and 2016, 13 697 firearm fatalities occurred in children aged 0 to 14 years. Recklessness laws were not associated with changes in pediatric firearm fatality rates. Negligence laws overall were associated with significant reductions in firearm fatalities in children aged 0 to 14 years, with a 13% relative reduction in all firearm fatalities (95% CI, -18% to -7%), a 15% relative reduction in firearm homicides (95% CI, -22% to -7%), a 12% relative reduction in firearm suicides (95% CI, -20% to -2%), and a 13% relative reduction in unintentional firearm fatalities (95% CI, -24% to -1%). The most stringent negligence laws were associated with unintentional firearm fatality reductions of 59% (95% CI, -68% to -49%). A total of 3929 deaths (29% of all firearm deaths) were associated with states not having passed the most stringent form of negligence CAP laws., Conclusions and Relevance: In this study, negligence laws were associated with relative reductions in firearm fatality rates in children aged 0 to 14 years. The most stringent negligence laws were associated with the largest reductions in unintentional firearm fatalities. Recklessness laws were not associated with reduced firearm fatality rates. The passage of negligence CAP laws may have the potential to reduce firearm fatalities in children.

Importance: Suicide is the second leading cause of death among youths aged 10 to 19 years in the United States, with rates nearly doubling during the past decade. Youths in impoverished communities are at increased risk for negative health outcomes; however, the association between pediatric suicide and poverty is not well understood., Objective: To assess the association between pediatric suicide rates and county-level poverty concentration., Design, Setting, and Participants: This retrospective, cross-sectional study examined suicides among US youths aged 5 to 19 years from January 1, 2007, to December 31, 2016. Suicides were identified using International Statistical Classification of Diseases, Tenth Revision, Clinical Modification codes from the Centers for Disease Control and Prevention's Compressed Mortality File. Data analysis was performed from February 1, 2019, to September 10, 2019., Exposures: County poverty concentration and the percentage of the population living below the federal poverty level. Counties were divided into 5 poverty concentration categories: 0% to 4.9%, 5.0% to 9.9%, 10.0% to 14.9%, 15.0% to 19.9%, and 20.0% or more of the population living below the federal poverty level., Main Outcomes and Measures: The study used a multivariable negative binomial regression model to analyze the association between pediatric suicide rates and county poverty concentration, reporting adjusted incidence rate ratios (aIRRs) with 95% CIs. The study controlled for year, demographic characteristics of the children who died (age, sex, and race/ethnicity), county urbanicity, and county demographic features (age, sex, and racial composition). Subgroup analyses were stratified by method., Results: From 2007 to 2016, a total of 20 982 youths aged 5 to 19 years died by suicide (17 760 [84.6%] were aged 15-19 years, 15 982 [76.2%] male, and 14 387 [68.6%] white non-Hispanic). The annual suicide rate was 3.35 per 100 000 youths aged 5 to 19 years. In the multivariable model, compared with counties with the lowest poverty concentration (0%-4.9%), counties with poverty concentrations of 10% or greater had higher suicide rates in a stepwise manner (10.0%-14.9%: aIRR, 1.25 [95% CI, 1.06-1.47]; 15.0%-19.9%: aIRR, 1.30 [95% CI, 1.10-1.54]; and 20.0% or more: aIRR, 1.37 [95% CI, 1.15-1.64]). When stratified by method, firearm suicides had the strongest association with county poverty concentration (aIRR, 1.87; 95% CI, 1.41-2.49) in counties with 20% or higher poverty concentration compared with counties with 0% to 4.9% poverty concentration., Conclusions and Relevance: The findings suggest that higher county-level poverty concentration is associated with increased suicide rates among youths aged 5 to 19 years. These findings may guide research into upstream risk factors associated with pediatric suicide to inform suicide prevention efforts.

Introduction: This study aimed to better understand patient and caregiver perspectives on social risk screening across different healthcare settings., Methods: As part of a mixed-methods multisite study, the authors conducted semistructured interviews with a subset of adult patients and adult caregivers of pediatric patients who had completed the Center for Medicare and Medicaid Innovation Accountable Health Communities social risk screening tool between July 2018 and February 2019. Interviews, conducted in English or Spanish, asked about reactions to screening, screening acceptability, preferences for administration, prior screening experiences that informed perspectives, and expectations for social assistance. Basic thematic analysis and constant comparative methods were used to code and develop themes., Results: Fifty interviews were conducted across 10 study sites in 9 states, including 6 primary care clinics and 4 emergency departments. There was broad consensus among interviewees across all sites that social risk screening was acceptable. The following 4 main themes emerged: (1) participants believed screening for social risks is important; (2) participants expressed insight into the connections between social risks and overall health; (3) participants emphasized the importance of patient-centered implementation of social risk screening; and (4) participants recognized limits to the healthcare sector's capacity to address or resolve social risks., Conclusions: Despite gaps in the availability of social risk-related interventions in healthcare settings, patient-centered social risk screening, including empathy and attention to privacy, may strengthen relationships between patients and healthcare teams., Supplement Information: This article is part of a supplement entitled Identifying and Intervening on Social Needs in Clinical Settings: Evidence and Evidence Gaps, which is sponsored by the Agency for Healthcare Research and Quality of the U.S. Department of Health and Human Services, Kaiser Permanente, and the Robert Wood Johnson Foundation., (Copyright © 2019 American Journal of Preventive Medicine. All rights reserved.)

Introduction: Despite recent growth in healthcare delivery-based social risk screening, little is known about patient perspectives on these activities. This study evaluates patient and caregiver acceptability of social risk screening., Methods: This was a cross-sectional survey of 969 adult patients and adult caregivers of pediatric patients recruited from 6 primary care clinics and 4 emergency departments across 9 states. Survey items included the Center for Medicare and Medicaid Innovation Accountable Health Communities' social risk screening tool and questions about appropriateness of screening and comfort with including social risk data in electronic health records. Logistic regressions evaluated covariate associations with acceptability measures. Data collection occurred from July 2018 to February 2019; data analyses were conducted in February‒March 2019., Results: Screening was reported as appropriate by 79% of participants; 65% reported comfort including social risks in electronic health records. In adjusted models, higher perceived screening appropriateness was associated with previous exposure to healthcare-based social risk screening (AOR=1.82, 95% CI=1.16, 2.88), trust in clinicians (AOR=1.55, 95% CI=1.00, 2.40), and recruitment from a primary care setting (AOR=1.70, 95% CI=1.23, 2.38). Lower appropriateness was associated with previous experience of healthcare discrimination (AOR=0.66, 95% CI=0.45, 0.95). Higher comfort with electronic health record documentation was associated with previously receiving assistance with social risks in a healthcare setting (AOR=1.47, 95% CI=1.04, 2.07)., Conclusions: A strong majority of adult patients and caregivers of pediatric patients reported that social risk screening was appropriate. Most also felt comfortable including social risk data in electronic health records. Although multiple factors influenced acceptability, the effects were moderate to small. These findings suggest that lack of patient acceptability is unlikely to be a major implementation barrier., Supplement Information: This article is part of a supplement entitled Identifying and Intervening on Social Needs in Clinical Settings: Evidence and Evidence Gaps, which is sponsored by the Agency for Healthcare Research and Quality of the U.S. Department of Health and Human Services, Kaiser Permanente, and the Robert Wood Johnson Foundation., (Copyright © 2019 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Introduction: While cardiovascular disease is the leading cause of death, its determinants include unhealthy behaviors and clinical risk factors and are recognized as the "actual causes" of death. Risk likely accumulates over the life course, and adverse childhood experiences may increase the risk of "actual causes" of death. The objectives of the study are to determine the prevalence and test the association of adverse childhood experiences among unhealthy behaviors and risk factors as a primordial risk factor among young adults., Methods: Data were extracted from the 2009 and 2011 Behavioural Risk Factor Surveillance System. Individuals ages 18-99 years provided complete information on adverse childhood experiences, health behaviors, and risk factors. Adverse childhood experiences were categorized and evaluated as cumulative burden. Multivariable logistic models, including stratified analysis for young adults, tested the association of adverse childhood experiences burden with unhealthy behaviors and risk factors., Results: Among 45,482 study participants, 52% report one adverse childhood experience and 25% report 2 adverse childhood experience categories. Among the total study population, 37% report violence/emotional abuse, 34% report neglect, and 12% report sexual abuse. Even one adverse childhood experience is strongly associated with hypertension, dyslipidemia, and diabetes, and while the association increases in a dose-response (P trend < .001) for all, it is especially more pronounced among the younger adults, with minimal attenuation of effects in the fully adjusted models., Conclusion: The prevalence of adverse childhood experiences in this study population is high. Even one adverse childhood experience is strongly and independently associated with cardiovascular risk factors, with implications for primordial prevention. Future studies are needed to develop screening and treatment strategies targeted to this high-risk group, especially among young adults., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Introduction: Pedestrian road safety remains a public health priority. The objective of this study is to describe trends in fatalities and injuries after pedestrian-motor vehicle collisions in the U.S. and identify associated risk factors for pedestrian fatalities., Methods: This is a cross-sectional study of U.S. pedestrian-motor vehicle collisions from 2006 to 2015 (performed in 2017). Pedestrian fatality and injury data were obtained from the National Highway Traffic Safety Administration's Fatality Analysis Reporting System and National Automotive Sampling System General Estimates System. Frequencies of fatalities, injuries, and associated characteristics were calculated. Multivariable logistic regression was performed for risk of fatality, controlling for demographic and crash-related factors., Results: There were 47,789 pedestrian fatalities and 674,414 injuries during the 10-year study period. Fatality rates were highest among the elderly aged 85 years and older (2.95/100,000 population), whereas injury rates were highest for those aged 15-19 years (35.23/100,000 population). Predictors associated with increased risk for death include the following: male sex (AOR=1.36, 95% CI=1.15, 1.62), age ≥65 years (AOR=3.44, 95% CI=2.62, 4.50), alcohol involvement (AOR=2.63, 95% CI=1.88, 3.67), collisions after midnight (AOR=5.21, 95% CI=3.20, 8.49), at non-intersections (AOR=2.76, 95% CI=2.21, 3.45), and involving trucks (AOR=2.15, 95% CI=1.16, 3.97) and buses (AOR=5.82, 95% CI=3.67, 9.21)., Conclusions: Potentially modifiable factors are associated with increased risk of death after pedestrian-motor vehicle collisions. Interventions including elder-friendly intersections and increasing visibility of pedestrians may aid in decreasing pedestrian injuries and deaths., (Copyright © 2018 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

The social determinants of health (SDoH) are defined by the World Health Organization as the "conditions in which people are born, grow, live, work, and age." Within pediatrics, studies have highlighted links between these underlying social, economic, and environmental conditions, and a range of health outcomes related to both acute and chronic disease. Additionally, within the adult literature, multiple studies have shown significant links between social problems experienced during childhood and "adult diseases" such as diabetes mellitus and hypertension. A variety of potential mechanisms for such links have been explored including differential access to care, exposure to carcinogens and pathogens, health-affecting behaviors, and physiologic responses to allostatic load (i.e., toxic stress). This robust literature supports the importance of the SDoH and the development and evaluation of social needs interventions. These interventions are also driven by evolving economic realities, most importantly, the shift from fee-for-service to value-based payment models. This article reviews existing evidence regarding pediatric-focused clinical interventions that address the SDoH, those that target basic needs such as food insecurity, housing insecurity, and diminished access to care. The paper summarizes common challenges encountered in the evaluation of such interventions. Finally, the paper concludes by introducing key opportunities for future inquiry.

Objective: Firearm injuries among children are a major clinical and public health concern and one of the leading causes of pediatric fatalities. Our objective was to investigate differences in predictors and clinical outcomes between self-inflicted, violent, and unintentional pediatric firearm injuries for patients who present to pediatric emergency departments (EDs)., Methods: We conducted a retrospective study of patients 0 to 21 years old treated in 37 pediatric academic EDs from 2004 to 2014. Patients were classified into the injury intent categories of self-inflicted, violent, and unintentional firearm injury using the International Classification of Diseases, 9th edition, Clinical Modification (ICD-9-CM) diagnoses and external causes of injury codes. Multivariable multinomial regression models compared groups., Results: We identified 9,628 firearm injuries from 2004 to 2014: 109 (1%) self-inflicted, 2,394 (25%) violent, and 7,125 (74%) unintentional. Male sex, increasing age, nonwhite race, public insurance, residing in an urban zip code, and lower zip code-level median household income were all independently associated with violent firearm injuries, relative to self-inflicted and unintentional injuries. Self-inflicted injuries were at the highest risk for hospital admission, death, intensive care unit services, surgical services, and increased length of stay, followed by violent injuries with intermediate risk and unintentional injuries at the lowest risk, Conclusions: Self-inflicted, violent, and unintentional firearm injuries in children had distinct demographic risk factors and clinical and utilization outcomes. Targeted prevention and intervention efforts should be developed to reduce the incidence and severity of these injuries., (© 2016 by the Society for Academic Emergency Medicine.)

Black and Hispanic children are hospitalized with complications of asthma at much higher rates than white children. The Boston Children's Hospital Community Asthma Initiative (CAI) provides asthma case management and home visits for children from low-income neighborhoods in Boston, Massachusetts, to address racial/ethnic health disparities in pediatric asthma outcomes. CAI objectives were to evaluate 1) case management data by parent/guardian report for health outcomes and 2) hospital administrative data for comparison between intervention and comparison groups. Data from parent/guardian reports indicate that CAI decreased the number of children with any (one or more) asthma-related hospitalizations (decrease of 79% at 12 months) and any asthma-related emergency department visits (decrease of 56% at 12 months) among children served, most of whom were non-Hispanic black or Hispanic. Hospital administrative data also indicate that the number of asthma-related hospitalizations per child significantly decreased among CAI participants compared with a comparison group. The CAI model has been replicated in other cities and states with adaptations to local cultural and systems variations. Health outcome and cost data have been used to contribute to a business case to educate legislators and insurers about outcomes and costs for this enhanced approach to care. Strong partnerships with public health, community, and housing agencies have allowed CAI to leverage its outcomes to expand systemic changes locally and statewide to reduce asthma morbidity.

Background: Motor vehicle crashes (MVCs) remain a leading cause of injury-related deaths in the United States. Primary seat belt laws allow vehicle occupants to be ticketed solely for not wearing seat belts, and secondary laws allow ticketing only for failure to wear seat belts in the setting of other violations., Objective: To determine the association between MVC fatality rates and primary versus secondary seat belt laws., Design: Retrospective time-series analysis., Setting: United States, 2001 to 2010., Participants: MVC fatalities in occupants aged 10 years or older identified in the Fatality Analysis Reporting System., Measurements: Population-based rates of fatal crashes., Results: There were 283 183 MVC fatalities in occupants aged 10 years or older from 2001 to 2010 (overall rate, 13.0 per 100 000 persons). In 2001, the mean fatality rate was 14.6 per 100 000 persons, 16 states had primary seat belt laws, and 33 states had secondary laws. In 2010, the mean fatality rate was 9.7 per 100 000 persons, 30 states had primary seat belt laws, and 19 states had secondary laws. In the multivariate regression model, states with primary seat belt laws had lower MVC fatality rates than states with secondary laws (adjusted incidence rate ratio, 0.83 [95% CI, 0.78 to 0.90])., Limitation: Only fatalities were analyzed from the database, and the degree of law enforcement could not be ascertained., Conclusion: States with primary seat belt laws had lower rates of MVC fatalities than those with secondary laws. Adoption of primary seat belt laws may offer optimal occupant protection., Primary Funding Source: None.

Introduction: Although some view the ownership of firearms as a deterrent to crime, the relationship between population-level firearm ownership rates and violent criminal perpetration is unclear. The purpose of this study is to test the association between state-level firearm ownership and violent crime., Methods: State-level rates of household firearm ownership and annual rates of criminal acts from 2001, 2002, and 2004 were analyzed in 2014. Firearm ownership rates were taken from a national survey and crime data were taken from the Federal Bureau of Investigation Uniform Crime Reports. Rates of criminal behavior were estimated as a function of household gun ownership using negative binomial regression models, controlling for several demographic factors., Results: Higher levels of firearm ownership were associated with higher levels of firearm assault and firearm robbery. There was also a significant association between firearm ownership and firearm homicide, as well as overall homicide., Conclusions: The findings do not support the hypothesis that higher population firearm ownership rates reduce firearm-associated criminal perpetration. On the contrary, evidence shows that states with higher levels of firearm ownership have an increased risk for violent crimes perpetrated with a firearm. Public health stakeholders should consider the outcomes associated with private firearm ownership., (Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Importance: Over 30,000 people die annually in the United States from injuries caused by firearms. Although most firearm laws are enacted by states, whether the laws are associated with rates of firearm deaths is uncertain., Objective: To evaluate whether more firearm laws in a state are associated with fewer firearm fatalities., Design: Using an ecological and cross-sectional method, we retrospectively analyzed all firearm-related deaths reported to the Centers for Disease Control and Prevention Web-based Injury Statistics Query and Reporting System from 2007 through 2010. We used state-level firearm legislation across 5 categories of laws to create a "legislative strength score," and measured the association of the score with state mortality rates using a clustered Poisson regression. States were divided into quartiles based on their score., Setting: Fifty US states., Participants: Populations of all US states., Main Outcome Measures: The outcome measures were state-level firearm-related fatalities per 100,000 individuals per year overall, for suicide, and for homicide. In various models, we controlled for age, sex, race/ethnicity, poverty, unemployment, college education, population density, nonfirearm violence-related deaths, and household firearm ownership., Results: Over the 4-year study period, there were 121,084 firearm fatalities. The average state-based firearm fatality rates varied from a high of 17.9 (Louisiana) to a low of 2.9 (Hawaii) per 100,000 individuals per year. Annual firearm legislative strength scores ranged from 0 (Utah) to 24 (Massachusetts) of 28 possible points. States in the highest quartile of legislative strength (scores of ≥9) had a lower overall firearm fatality rate than those in the lowest quartile (scores of ≤2) (absolute rate difference, 6.64 deaths/100,000/y; age-adjusted incident rate ratio [IRR], 0.58; 95% CI, 0.37-0.92). Compared with the quartile of states with the fewest laws, the quartile with the most laws had a lower firearm suicide rate (absolute rate difference, 6.25 deaths/100,000/y; IRR, 0.63; 95% CI, 0.48-0.83) and a lower firearm homicide rate (absolute rate difference, 0.40 deaths/100,000/y; IRR, 0.60; 95% CI, 0.38-0.95)., Conclusions and Relevance: A higher number of firearm laws in a state are associated with a lower rate of firearm fatalities in the state, overall and for suicides and homicides individually. As our study could not determine cause-and-effect relationships, further studies are necessary to define the nature of this association.

Purpose of Review: To provide an overview of current technologies available for use in a primary healthcare setting, common indications for their use, and their effects on clinical practice., Recent Findings: Technologies such as the internet and cell phones are an integral part of the daily lives of most adolescents. Many young people are comfortable using technology as part of their healthcare visits, especially when addressing sensitive issues. Over the past 5 years, a significant body of research has emerged introducing a variety of technologic modalities that screen for health-risk behaviors, educate patients about chronic diseases, promote preventive efforts, and provide interventions in the adolescent population. Findings suggest that integrating technology with clinical practice can improve quality of patient care., Summary: Technology can be used as an effective medium for the delivery of health information and interventions in an efficient, organized, and effective manner. Sharing knowledge of innovative tools, systems and programs will help develop further interventions and strategies to ensure optimal healthcare in young people.