Racial and Ethnic Disparities in All-Cause and Cause-Specific Mortality Among US Youth.

Importance: Mortality rates in US youth have increased in recent years. An understanding of the role of racial and ethnic disparities in these increases is lacking. Objective: To compare all-cause and cause-specific mortality trends and rates among youth with Hispanic ethnicity and non-Hispanic American Indian or Alaska Native, Asian or Pacific Islander, Black, and White race. Design, Setting, and Participants: This cross-sectional study conducted temporal analysis (1999-2020) and comparison of aggregate mortality rates (2016-2020) for youth aged 1 to 19 years using US Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database. Data were analyzed from June 30, 2023, to January 17, 2024. Main Outcomes and Measures: Pooled, all-cause, and cause-specific mortality rates per 100 000 youth (hereinafter, per 100 000) for leading underlying causes of death were compared. Injuries were classified by mechanism and intent. Results: Between 1999 and 2020, there were 491 680 deaths among US youth, including 8894 (1.8%) American Indian or Alaska Native, 14 507 (3.0%) Asian or Pacific Islander, 110 154 (22.4%) Black, 89 251 (18.2%) Hispanic, and 267 452 (54.4%) White youth. Between 2016 and 2020, pooled all-cause mortality rates were 48.79 per 100 000 (95% CI, 46.58-51.00) in American Indian or Alaska Native youth, 15.25 per 100 000 (95% CI, 14.75-15.76) in Asian or Pacific Islander youth, 42.33 per 100 000 (95% CI, 41.81-42.86) in Black youth, 21.48 per 100 000 (95% CI, 21.19-21.77) in Hispanic youth, and 24.07 per 100 000 (95% CI, 23.86-24.28) in White youth. All-cause mortality ratios compared with White youth were 2.03 (95% CI, 1.93-2.12) among American Indian or Alaska Native youth, 0.63 (95% CI, 0.61-0.66) among Asian or Pacific Islander youth, 1.76 (95% CI, 1.73-1.79) among Black youth, and 0.89 (95% CI, 0.88-0.91) among Hispanic youth. From 2016 to 2020, the homicide rate in Black youth was 12.81 (95% CI, 12.52-13.10) per 100 000, which was 10.20 (95% CI, 9.75-10.66) times that of White youth. The suicide rate for American Indian or Alaska Native youth was 11.37 (95% CI, 10.30-12.43) per 100 000, which was 2.60 (95% CI, 2.35-2.86) times that of White youth. The firearm mortality rate for Black youth was 12.88 (95% CI, 12.59-13.17) per 100 000, which was 4.14 (95% CI, 4.00-4.28) times that of White youth. American Indian or Alaska Native youth had a firearm mortality rate of 6.67 (95% CI, 5.85-7.49) per 100 000, which was 2.14 (95% CI, 1.88- 2.43) times that of White youth. Black youth had an asthma mortality rate of 1.10 (95% CI, 1.01-1.18) per 100 000, which was 7.80 (95% CI, 6.78-8.99) times that of White youth. Conclusions and Relevance: In this study, racial and ethnic disparities were observed for almost all leading causes of injury and disease that were associated with recent increases in youth mortality rates. Addressing the increasing disparities affecting American Indian or Alaska Native and Black youth will require efforts to prevent homicide and suicide, especially those events involving firearms.

Protect and Provide: Perceptions of Manhood and Masculinities Among Disabled Violently Injured Black Men in a Hospital-Based Violence Intervention Program.

Exploring the post-injury lives of those who have survived gunshot wounds is essential to understanding the entire scope of firearm violence. The lives of Black male firearm violence survivors are transformed in various ways due to their injuries both visible and invisible. This study explored how Black men who suffer from disabilities via a firearm negotiated their masculine identities. Semi-structured, qualitative interviews were conducted with 10 violently injured Black men participating in a hospital-based violence intervention program. Survivors expressed their thoughts on how their injuries impacted their manhood and masculinities. Three themes emerged: (1) perceptions of manhood, (2) loss of independence and burden on others, and (3) and mobility. These themes highlighted and described how their lives were impacted post-injury and characterized their psychological and physical experience of recovery. The research findings suggest the need for more qualitative studies to further explore the relationship between firearm injury, Black masculinity, and perceptions of manhood. While Black men are understudied in health research and invisible in disability research, they continue to be hyper-invisible when discussing violently acquired disabilities.

Racial equity in trauma injury: An unresolved enigma.

BACKGROUND: Racial disparities in healthcare have been attributed to socioeconomic inequalities while the relative risk (RR) of traumatic injury in people of color has yet to be described. METHODS: Demographics of our patient population were compared to the population of our service area. The racial and ethnic identities of gunshot wound (GSW) and motor vehicle collision (MVC) patients were used to establish RR of traumatic injury adjusting for socioeconomic status defined by payor mix and geography. RESULTS: GSW assaults were more common in Blacks (59.1%) while self-inflicted GSWs were more common in Whites (46.2%). RR of having a GSW was 4.65 times greater (95% CI 4.03-5.37; p < 0.01) among Blacks than other populations. MVC patients were 36.8% Black, 26.6% White, and 32.6% Hispanic. Blacks had an increased risk of MVC compared to other races (RR 2.13; 95% CI 1.96-2.32; p < 0.01). The racial and ethnic identity of the patient was not a predictor of GSW or MVC mortality. CONCLUSIONS: Increased risk of GSW and MVC was not correlated with local population demographics or socioeconomic status.

Comparison of US Firearm-Related Deaths Among Children and Adolescents by Race and Ethnicity, 1999-2020.

This study assesses racial and ethnic differences in overall burden of firearm-related mortality and in change in firearm-related mortality among youths from 1999 to 2020.

Racial disparities in triage of adolescent patients after bullet injury.

BACKGROUND: While pediatric trauma centers (PTCs) and adult trauma centers (ATCs) exhibit equivalent trauma mortality, the optimal care environment for traumatically injured adolescents remains controversial. Race has been shown to effect triage within emergency departments (EDs) with people of color receiving lower acuity triage scores. We hypothesized that African-American adolescents were more likely triaged to an ATC than a PTC compared with their White peers. METHODS: Institutional trauma databases from a neighboring, urban Level I PTC and ATC were queried for gunshot wounds in adolescents (15-18 years) presenting to the ED from 2015 to 2017. The PTC and ATC were compared in terms of demographics, services, and outcomes. Results were analyzed using univariate analysis and logistic regression. RESULTS: Among 316 included adolescents, 184 were treated in an ATC versus 132 in a PTC. Patients at the PTC were significantly more likely to be younger (16.1 vs. 17.5 years; p < 0.001), White (16% vs. 5%; p = 0.001), and privately insured (41% vs. 30%; p = 0.002). At each age, the proportion of Whites treated at the PTC exceeded the proportion of African-Americans. At the PTC, patients were more likely to receive inpatient and outpatient social work follow-up (89% vs. 1%, p < 0.001). Adolescents treated at the PTC were less likely to receive opioids (75% vs. 56%, p = 0.001) at discharge and to return to ED within 6 months (25% vs. 11%, p = 0.005). On multivariate logistic regression, African-American adolescents were less likely to be treated at a PTC (odds ratio, 0.30; 95% confidence interval, 0.10-0.85; p = 0.02) after controlling for age and Injury Severity Score. CONCLUSION: Disparities in triage of African-American and White adolescents after bullet injury lead to unequal care. African-Americans were more likely to be treated at the ATC, which was associated with increased opioid prescription, decreased social work support, and increased return to ED. LEVEL OF EVIDENCE: Therapeutic/Care Management, Level IV.

Gunshot wounds sustained during legal intervention versus those inflicted by civilians: A comparative analysis.

BACKGROUND: Existing data demonstrate that injuries sustained during legal intervention (LI) differ from those incurred during civilian interpersonal violence (CIV), but gunshot wounds (GSWs) have not yet been specifically examined. This study was undertaken to provide an in-depth analysis of patients shot during LI versus CIV. METHODS: Patients injured by GSW and captured by the National Trauma Data Bank (2007-2017) were included. Exclusions were transfer from outside hospital or self-inflicted, accidental, or undetermined injury intent GSWs. Study groups were defined by injury circumstances: GSWs sustained during LI versus CIV. Univariable analysis compared demographics, clinical/injury data, and outcomes. RESULTS: In total, 248,726 patients met inclusion/exclusion criteria: 98% (n = 243,150) CIV versus 2% (n = 5,576) LI. Race varied significantly between study groups (p < 0.001). White patients were the most commonly injured race after LI (n = 2,176, 39%). Black patients were the most commonly injured race after CIV (n = 139,067, 57%). Psychiatric disease (9% vs. 2%, p < 0.001) was more common among LI GSWs. The LI patients were more frequently tachycardic (18% vs. 13%, p < 0.001), hypotensive (26% vs. 14%, p < 0.001), and comatose (34% vs. 15%, p < 0.001). The LI patients had higher Injury Severity Scores (13 vs. 9, p < 0.001), required emergent surgical intervention (39% vs. 28%, p < 0.001) and intensive care unit admission (47% vs. 32%, p < 0.001) more often, and had longer hospital stay (4 vs. 3 days, p < 0.001). Mortality was higher after LI (27% vs. 14%, p < 0.001). CONCLUSION: Significant racial and injury severity differences exist between patients shot during LI and CIV. White patients were the most commonly injured race after LI, while Black patients were the most commonly injured race during CIV. In addition, Black patients were overrepresented in both groups when compared with their proportion in the US population. LI patients were more significantly injured, as quantified by clinical, injury, and outcomes variables including increased mortality. Further study of patients shot during LI is needed to better understand this increased burden of injury. LEVEL OF EVIDENCE: Prognostic and epidemiological, level IV.

Factors associated with police shooting mortality: A focus on race and a plea for more comprehensive data.

OBJECTIVES: To quantify nonfatal injurious police shootings of people and examine the factors associated with victim mortality. METHODS: We gathered victim-level data on fatal and nonfatal injurious police shootings from four states that have such information publicly available: Florida (2009-14), Colorado (2010-19), Texas (2015-19), and California (2016-19). For each state, we examined bivariate associations between mortality and race/ethnicity, gender, age, weapon, and access to trauma care. We also estimated logistic regression models predicting victim mortality in each state. RESULTS: Forty-five percent of these police shooting victims (N = 1,322) did not die. Black-white disparities were more pronounced in nonfatal injurious police shootings than in fatal police shootings. Overall, Black victims were less likely than white victims to die from their wound(s). Younger victims were less likely to die from their wound(s), as well as those who were unarmed. CONCLUSIONS: Racial and age disparities in police shootings are likely more pronounced than previous estimates suggest. POLICY IMPLICATIONS: Other states should strongly consider compiling data like that which is currently being gathered in California. Absent data on nonfatal injurious police shootings-which account for a large share of deadly force incidents-researchers and analysts must be cautious about comparing and/or ranking jurisdictions in terms of their police-involved fatality rates.

An Eye on Disparities, Health Equity, and Racism-The Case of Firearm Injuries in Urban Youth in the United States and Globally.

Firearm violence is a significant public health problem, particularly among youth in the United States. Regardless of the data source or setting, young Black men have consistently been found to be disproportionately affected by firearm injuries and deaths. Public health research indicates that racial segregation likely increases racial disparities in firearm violence. To minimize deaths and injuries due to firearms and their cascading health consequences and to ultimately achieve health equity, preventive efforts will need to address the social determinants of health, including racism.

A national analysis of pediatric firearm violence and the effects of race and insurance status on risk of mortality.

OBJECTIVES: To perform a national analysis of pediatric firearm violence (PFV), hypothesizing that black and uninsured patients would have higher risk of mortality. METHODS: The Trauma Quality Improvement Program (2014-2016) was queried for PFV patients ≤16 years-old. Multivariable logistic regression models on all patients and a subset excluding severe brain injuries were performed. RESULTS: The PFV mortality rate was 11.2%. 66.5% of PFV patients were black (p < 0.001). Deceased patients were more likely to be uninsured (14.5% vs. 5.3%, p < 0.001). Black race was an associated risk factor for mortality in patients without severe brain injury (OR 5.26, CI 1.00-27.47, p = 0.049) but not for the overall population (OR 1.32, CI 0.68-2.56, p = 0.39). CONCLUSION: Nearly two-thirds of PFV patients were black. Contrary to previous studies, black and uninsured pediatric patients did not have an increased risk of mortality overall. However, in a subset of patients without severe brain injury, black race was associated with increased mortality risk. SUMMARY: Between 2014 and 2016 the mortality rate for pediatric firearm violence (PFV) in children 16 years and younger was 11.2%. Although two-thirds of PFV patients were black, black race and lack of insurance were not risk factors of mortality for the overall population. Once patients with severe brain injury were excluded, black race and became associated with an increased risk of mortality.

Increasing Rate of Unintentional Firearm Deaths in Youngest Americans: Firearm Prevalence and Covid-19 Pandemic Implication.

BACKGROUND: The United States has had, by far, the world's greatest civilian ownership of firearms. An even greater ownership occurred during the Covd-19 pandemic, mostly of handguns and including many new owners. The U.S. has also had the least progress of the 41 highest sociodemographic countries ranked by the Institute for Health Metrics and Evaluation in reducing the unintentional firearm mortality rate in young children. This study characterized the unintentional firearm mortality trends in American 1-4 year-olds by sex and race/ethnicity and evaluated the trends in the context of firearm prevalence in the U.S. METHODS: Mortality data for 1999-2018 were obtained from the U.S. Centers for Disease Control and Prevention and the Institute for Health Metrics and Evaluation, firearm injury and mortality data for 2016-2020 from Everytown for Gun Safety #NotAnAccident database, firearm background check data for 1999-2020 from the National Instant Criminal Background Check System, and civilian firearm prevalence for 2017 from the Small Arms Survey. RESULTS: In American 1-4 year-olds, the rate of unintentional firearm deaths during 1999-2018 increased exponentially at an average annual percent rate of 4.9 (p < 0.001) and was greatest in non-Hispanic black children. Unintentional firearm deaths had the most rapid increase of all evaluable causes of death in the age group. The unintentional firearm death rate increase was correlated with the concurrent rate of firearm background checks and handgun permits issued (each p < 0.001) and in non-Hispanic white children with handgun prevalence in their families (p = 0.03). Globally, the unintentional firearm death rate was also correlated with firearm prevalence (p = 0.02). CONCLUSIONS: An increase in fatal firearm accidents in the United States death rate among 1-4 year-olds is directly associated with the steadily increasing prevalence of firearms. The acceleration of firearm deaths and injuries among young Americans, especially among non-Hispanic black children, requires urgent solutions to address firearm prevalence and access. The problem is expected to become even more urgent as a result of the record high firearm sales that occurred in the United States during the 2020 coronavirus pandemic.

Black and unarmed: statistical interaction between age, perceived mental illness, and geographic region among males fatally shot by police using case-only design.

PURPOSE: We examine whether the race and armed status interact to modify the risk of being fatally shot by police within categories of civilian age and mental illness status, and U.S. region. METHODS: Data are from The Washington Post online public-use database of all U.S. police-involved shooting deaths. The sample includes black and white males with known armed status who were killed from 1/1/2015 through 12/31/2019 (n = 3090). A case-only design is used to assess multiplicative interaction using adjusted logistic regression. RESULTS: The fully adjusted interaction estimate is null (SOR = 0.75; 95% confidence interval [CI] = 0.55-1.04). However, adjusted estimates within strata show that the risk of being armed versus unarmed when fatally shot is smaller for black than white males older than 54 years (SOR = 0.18; 95% CI = 0.06-0.65), those showing mental illness signs (SOR = 0.50; 95% CI = 0.26-0.98), and those killed in the South (SOR = 0.52; 95% CI = 0.33-0.83), and that the risk is greater in the Midwest (SOR = 2.42; 95% CI = 1.11-5.26). Notably, there is no black-white difference in armed status among younger age groups (SOR≈0.89). CONCLUSION: The race and armed status may interact leaving black males at a higher risk of being unarmed than white males when fatally shot by police among those older than 54 years, mentally impaired, and residing in the South. Causal interaction suggests a lower risk for unarmed blacks in the Midwest. Researchers should further explore the utility of the case-only design to study social-environmental interaction.

Geodemographic analysis of pediatric firearm injuries in Miami, FL.

PURPOSE: Firearm injuries (GSW) are a growing public health concern and leading cause of morbidity and mortality among children, yet predictors of injury remain understudied. This study examines the correlates of pediatric GSW within our county. METHODS: We retrospectively queried an urban Level 1 trauma center registry for pediatric (0-18 years) GSW from September 2013 to January 2019, examining demographic, clinical, and injury information. We used a geographic information system to map GSW rates and perform spatial and spatiotemporal cluster analysis to identify zip code "hot spots." RESULTS: 393 cases were identified. The cohort was 877% male, 87% African American, 10% Hispanic, and 22% Caucasian/Other. Injuries were 92% violence-related and 4% accidental, with 63% occurring outside school hours. Mortality was 12%, with 53% of deaths occurring in the resuscitation unit. Zip-level GSW rates ranged from 0 to 9 (per 1000 < 18 years) by incident address and 0-6 by home address. Statistically significant hot spots were in predominantly underserved African American and Hispanic neighborhoods. CONCLUSIONS: Geodemographic analysis of pediatric GSW injuries can be utilized to identify at-risk neighborhoods. This methodology is applicable to other metropolitan areas where targeted interventions can reduce the burden of gun violence among children. TYPE OF STUDY: Retrospective study. LEVEL OF EVIDENCE: Level III.

The Disturbing Findings of Pediatric Firearm Injuries From the National Trauma Data Bank: 2010-2016.

BACKGROUND: Trauma is the leading cause of pediatric and adolescent morbidity and mortality. Firearm-related injuries and deaths contribute substantially to the overall disease burden. This study described the intent, location, demographics, and outcomes of a nationally representative pediatric population with firearm injuries. We hypothesized that younger patients would have a higher percentage of unintentional and self-inflicted injuries with associated higher mortality rates. MATERIALS AND METHODS: The National Trauma Data Bank, maintained by the American College of Surgeons, from 2010 to 2016 was utilized. All pediatric patients (0-19 y) with firearm injuries who had complete data were analyzed for mechanism, location, demographics, and outcomes. Basic descriptive statistics were used to compare subgroups. Multivariable logistic regression analysis was applied to investigate risk factors for firearm injury-caused mortality. RESULTS: In the study period, 46,039 pediatric patients sustained firearm injuries (median age = 17 y). Males, Blacks, ages 15-19, and the Southern region were the most common injured demographics. However, subgroup analysis showed the demographics differ for self-inflicted and unintentional firearm injuries, which had significantly higher White patients (66.6% and 47.9%, respectively; P < 0.001). Nearly 76% of injuries were related to assaults, 14% were unintentional, 5% were self-inflicted, and 5% were undetermined. The overall mortality was nearly 12%. The youngest population had higher proportion of unintentional injuries and highest mortality rate when compared with other classifications of intent (P < 0.001). CONCLUSIONS: Pediatric firearm injuries have high mortality, especially in the youngest populations. Age-tailored prevention strategies, such as strict child access prevention laws and enforced gun storage violations, may help in reducing firearm injuries and improving health outcomes.

Race Impacts Outcomes of Patients With Firearm Injuries.

BACKGROUND: To study the relationship between race and outcomes of patients with firearm injuries hospitalized in the United States. METHODS: The 2016 National Inpatient Sample was used. Patients were included if they had a principal diagnosis of firearm injury. Exclusion criteria were age <16 years and elective admissions. The primary outcome was in-hospital mortality. Secondary outcomes were morbidity (traumatic shock, prolonged mechanical ventilation, acute respiratory distress syndrome [ADRS], and ventilator-associated pneumonia [VAP]), and resource utilization (length of stay and total hospitalization charges and costs). RESULTS: The sample included 31 335 patients; 52% were Black and 29% were Caucasian. The mean age was 32 years and 88% were male. Black patients had lower odds of mortality (adjusted odds ratio (aOR): 0.41 (95% CI: 0.32-0.53), P < .01). However, compared with Caucasians, Blacks had higher mean total hospitalization charges (adjusted mean difference (aMD) : $14 052 (CI: $1469-$26 635), P = .03) and costs (aMD: $3248 (CI: $654-$5842), P = .01) despite similar mean length of stay (aMD: 0.70 (CI: -0.05-1.45), P = .07). Both racial groups had similar rates of traumatic shock (aOR: 0.91 (0.72-1.15), P = .44), prolonged mechanical ventilation (aOR: 0.82 (0.63-1.09), P = .17), ARDS (aOR: 1.18 (0.45-3.07), P = .74) and VAP (aOR: 1.27 (0.47-3.41), P = .63). DISCUSSION: Black patients with firearm injuries had a lower adjusted odds of in-hospital mortality compared with other races. However, despite having a similar hospital length of stay and in-hospital morbidity, -Black patients had higher total hospitalization costs and charges.

Recidivism rates following firearm injury as determined by a collaborative hospital and law enforcement database.

BACKGROUND: Recidivism is a key outcome measure for injury prevention programs. Firearm injury recidivism rates are difficult to determine because of poor longitudinal follow-up and incomplete, disparate databases. Reported recidivism rates from trauma registries are 2% to 3%. We created a collaborative database merging law enforcement, emergency department, and inpatient trauma registry data to more accurately determine rates of recidivism in patients presenting to our trauma center following firearm injury. METHODS: A collaborative database for Jefferson County, Kentucky, was constructed to include violent firearm injuries encountered by the trauma center or law enforcement from 2008 to 2019. Iterative deterministic data linkage was used to create the database and eliminate redundancies. From patients with at least one hospital encounter, raw recidivism rates were calculated by dividing the number of patients injured at least twice by the total number of patients. Cox proportional hazard models were used to evaluate risk factors for recidivism. The cumulative incidence of recidivism over time was estimated using a Kaplan-Meier survival model. RESULTS: There were 2, 363 assault-type firearm injuries with at least 1 hospital encounter, approximately 9% of which did not survive their initial encounter. The collaborative database demonstrated raw recidivism rates for assault-type firearm injuries of 9.5% compared with 2.5% from the trauma registry alone. Risk factors were young age, male sex, and African American race. The predicted incidence of recidivism was 3.6%, 5.6%, 11.4%, and 15.8% at 1, 2, 5, and 10 years, respectively. CONCLUSION: Both hospital and law enforcement data are critical for determining reinjury rates in patients treated at trauma centers. Recidivism rates following violent firearm injury are four times higher using a collaborative database compared with the inpatient trauma registry alone. Predicted incidence of recidivism at 10 years was at least 16% for all patients, with high-risk subgroups experiencing rates as high as 26%. LEVEL OF EVIDENCE: Epidemiological, level III.