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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.

Importance: Health care disparities are well-documented among children based on race, ethnicity, and language for care. An agenda that outlines research priorities for disparities in pediatric emergency care (PEC) is lacking., Objective: To investigate research priorities for disparities in PEC among medical personnel, researchers, and health care-affiliated community organizations., Design, Setting, and Participants: In this survey study, a modified Delphi approach was used to investigate research priorities for disparities in PEC. An initial list of research priorities was developed by a group of experienced PEC investigators in 2021. Partners iteratively assessed the list through 2 rounds of electronic surveys using Likert-type responses in late 2021 and early 2022. Priorities were defined as achieving consensus if they received a score of highest priority or priority by at least 60% of respondents. Asynchronous engagement of participants via online web-conferencing platforms and email correspondence with electronic survey administration was used. Partners were individuals and groups involved in PEC. Participants represented interest groups, research and medical personnel organizations, health care partners, and laypersons with roles in community and family hospital advisory councils. Participants were largely from the US, with input from international PEC research networks., Outcome: Consensus agenda of research priorities to identify and address health care disparities in PEC., Results: PEC investigators generated an initial list of 27 potential priorities. Surveys were completed by 38 of 47 partners (80.6%) and 30 of 38 partners (81.1%) in rounds 1 and 2, respectively. Among 30 respondents who completed both rounds, there were 7 family or community partners and 23 medical or research partners, including 4 international PEC research networks. A total of 12 research priorities achieved the predetermined consensus threshold: (1) systematic efforts to reduce disparities; (2) race, ethnicity, and language data collection and reporting; (3) recognizing and mitigating clinician implicit bias; (4) mental health disparities; (5) social determinants of health; (6) language and literacy; (7) acute pain-management disparities; (8) quality of care equity metrics; (9) shared decision-making; (10) patient experience; (11) triage and acuity score assignment; and (12) inclusive research participation., Conclusions and Relevance: These results suggest a research priority agenda that may be used as a guide for investigators, research networks, organizations, and funding agencies to engage in and support high-priority disparities research topics in PEC.

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.

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.

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: β = -2.02 years [95% CI, -2.12 to -1.92 years]); health and environment: β = -2.30 years [95% CI, -2.41 to -2.20 years]; social and economic: β = -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.

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.