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.

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.

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.

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.

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.

Gunshot wounds to the head: racial disparities in inpatient management and outcomes.

OBJECTIVE: Several studies have indicated that racial disparities may exist in the management and outcomes of acute trauma care. One segment of trauma care that has not been as extensively investigated, however, is that of cranial trauma care. The goal of this study was to determine whether significant differences exist among racial and ethnic groups in various measures of inpatient management and outcomes after gunshot wounds to the head (GWH). METHODS: In this study, the authors used the Nationwide (National) Inpatient Sample (NIS) to investigate all-cause mortality, receipt of surgery, days from admission to initial intervention, discharge disposition, length of hospital stay, and total hospital charges of those with GWH from 2012 to 2016. A 1:1 propensity score-matched analysis was conducted to evaluate the effect of race on these endpoints, while controlling for baseline demographics and comorbidities. RESULTS: A total of 333 patients met the inclusion and exclusion criteria: 148 (44.44%) white/Caucasian, 123 (36.94%) black/African American, 54 (16.22%) Hispanic/Latinx, and 8 (2.40%) Asian. African American patients were sent to immediate care and rehabilitation significantly less often than Caucasian patients (RR 0.17 [95% CI 0.04-0.71]). There were no significant differences in mortality, length of stay, rates of surgical intervention, or total hospital charges among any of the racial groups. CONCLUSIONS: The authors' findings suggest that racial disparities in inpatient cranial trauma care and outcomes may not be as prevalent as previously thought. In fact, the disparities seen were only in disposition. More research is needed to further elucidate and address disparities within this population, particularly those that may exist prior to, and after, hospitalization.

Rates of firearm homicide by Chicago region, age, sex, and race/ethnicity, 2005-2010.

BACKGROUND: The United States reports the highest levels of firearm homicide incidences compared to other high income countries, and the focus and causes of these incidences within the US differ by demographic characteristics and location such as urban versus rural environment. Despite these findings, few studies have published on rates varied by region within a city. OBJECTIVE: This study aims to provide descriptive analysis of the rates of firearm homicide by age, sex, and race/ethnicity in each of the seven City of Chicago regions, and to determine if the rates of firearm homicide differ by demographics among the seven City of Chicago regions. METHODS: The Illinois Violent Death Reporting System conducts routine surveillance of violent deaths. Decedents were selected according to the following criteria: manner of death was homicide, weapon type was firearm, and location of injury that led to death was the City of Chicago. Location of injury was broken down by regions: North, Northwest, Center, West, South, Southwest, and Far South. Multiyear rates per 100,000 and corresponding 95% confidence intervals were calculated. RESULTS: There were 2,254 victims of homicide by firearm in the City of Chicago. The overall rate across Chicago for all demographics was 12.9 (12.1-13.5 per 100,000) with an average age of 27.4. The highest age group (20-24) for firearm homicide rates was 43.2 (39.7-46.7) per 100,000. For the youngest age group (10-14), only the Southwest (3.3-10.4) region reported any firearm incidence. The 20 to 24 age group reported the highest rates of all age groups within the South (107.9-151.7), West (80.3-108.2), and Far South (69.6-105.3) regions, whereas the North and Northwest reported the lowest rates for all regions by age. Black firearm homicide rates were 33.5 (31.9-35.1) per 100,000 versus Hispanic and non-Hispanic white firearm homicide rates of 8.5 (7.7-9.3) and 1.2 (1-1.5) per 100,000, respectively. Lastly, the West reported the highest firearm rates at 29.1 (657). CONCLUSION: In conclusion, Chicago is a large city that has high variation in firearm homicide rates among its constituent regions; therefore, an overall firearm homicide rate for the city of Chicago as a whole is not an accurate representation of the true nature of firearm homicides. Policy implementation may be made more effective by providing more regional analysis and targeted interventions via multipronged initiatives to help reduce future firearm rates, and funding for issues that address systemic poverty and adequate access to care and medical facilities. LEVEL OF EVIDENCE: Epidemiologic study, level IV.

Race disparities in firearm injuries and outcomes among Tennessee children.

PURPOSE: The aim of this study was to identify race and socioeconomic factors associated with worse outcomes among Tennessee children who sustain firearm injuries. METHODS: We queried our institutional pediatric trauma registry and the Davidson County Regional Medical Examiner database for children ages 15 years and younger who sustained firearm injuries between July 1998 and July 2010. Descriptive statistics and logistic regression modeling were used to analyze demographic data, circumstance of injury (unintentional or intentional), odds of death, and characteristics of zip codes (total population, race distribution, and median income) where injuries occurred. RESULTS: One hundred eighty-eight children (median age, 13.2 years; range, 1.1-15.8 years) sustained a firearm injury and were either admitted to our institution or were referred directly to the medical examiner. More whites (n = 109, or 58%) sustained a firearm injury than blacks (n = 79, or 42%), but blacks were overrepresented 2.5-fold more compared with the general Tennessee population. Fifty-four children (29%) died, of whom 35 (65%) were black and 19 (35%) were white (P < .001). Ninety-three children sustained unintentional firearm injuries, and 84 were intentional (n = 67, assault; n = 17, suicide). When data were stratified by intent, 67% of blacks and 12% of whites were assaulted (P < .001). After controlling for age and intent, black children were 4 times more likely to die of firearm injuries than whites (P = .008; 95% confidence interval, 1.4-11.3). CONCLUSION: In a sample of firearm-injured Tennessee children, blacks were notably overrepresented and far more likely to die than whites. Using zip code data will help to establish firearm injury prevention programs specific to disparate populations and to reduce both violent and accidental childhood firearm injuries.

Are there racial disparities in trauma care?

BACKGROUND: A number of recent studies have demonstrated disparity between racial groups in both outcome and processes of trauma care. These were not controlled for the presence of shock. METHODS: We used data from the National Trauma Databank (NTDB) (version 6.0) to evaluate mortality, length of hospital stay, and discharge disposition for patients who suffered gunshot wounds (GSW) or who were drivers in motor vehicle crashes (MVC). Using regression analysis to control for age, gender, first measured systolic blood pressure, geographic region, trauma center verification status, and hospital teaching status, we looked for differences in trauma care outcomes by race as represented in the NTDB. RESULTS: We included 235,557 MVC victims and 13,378 GSW victims in our analysis. When potential confounding variables were accounted for, there were no differences in mortality based on race in either group, with the exception that Hispanic motor vehicle drivers suffered higher mortality, OR: 1.72 (95% CI: 1.36, 2.19; p<.001). Both Blacks and Hispanics had shorter lengths of stay in linear regression models (p<.001 in both cases) than whites. Blacks and Hispanics were less likely to be discharged home when compared to white patients (OR 0.83, 95% CI 0.80-0.86 for Blacks, and OR 0.53, 95% CI 0.50-0.56 for Hispanics). Shock, as reflected by first systolic blood pressure reported, and to a lesser degree, anatomic injury, as measured by Injury Severity Score (ICISS), were much more powerful predictors of outcome than race in all analyses. CONCLUSIONS: We found no mortality differences based on race for GSW. Hispanics have a higher mortality rate for MVC. For both injury types, Blacks and Hispanics had shorter hospital stays and a greater likelihood of transfer to post-acute care when compared to white patients. Hypotension on admission has a much more significant impact on outcome than race and ethnicity.

Race/ethnicity, gender, and monitoring socioeconomic gradients in health: a comparison of area-based socioeconomic measures--the public health disparities geocoding project.

Use of multilevel frameworks and area-based socioeconomic measures (ABSMs) for public health monitoring can potentially overcome the absence of socioeconomic data in most US public health surveillance systems. To assess whether ABSMs can meaningfully be used for diverse race/ethnicity-gender groups, we geocoded and linked public health surveillance data from Massachusetts and Rhode Island to 1990 block group, tract, and zip code ABSMs. Outcomes comprised death, birth, cancer incidence, tuberculosis, sexually transmitted infections, childhood lead poisoning, and nonfatal weapons-related injuries. Among White, Black, and Hispanic women and men, measures of economic deprivation (e.g., percentage below poverty) were most sensitive to expected socioeconomic gradients in health, with the most consistent results and maximal geocoding linkage evident for tract-level analyses.

Pediatric firearm injuries, Kansas City, 1992: a population-based study.

OBJECTIVE: To determine the morbidity, mortality, and epidemiologic features of pediatric powder-firearm injuries in a defined urban population. DESIGN AND SETTING: A population-based, descriptive epidemiologic study was conducted of firearm injuries to children in a mid-size urban community (total population: 435,178) in 1992. The population was 56% white and 39% black. Data from prehospital care providers, all city and adjacent community hospitals, and medical examiner and police records were searched for cases of firearm injury. The 1990 United States census provided denominator data. CASE DEFINITION: Subjects were all 0- to 16-year-old residents of Kansas City, Missouri who sought medical treatment at a hospital for a powder-firearm injury or who presented to the medical examiner with a fatal firearm injury in calendar year 1992. RESULTS: Seventy-two children met the case definition, for an incidence of 70 per 100,000 persons per year. There were 12 (16.7%) fatalities, for a mortality rate of 11.7 per 100,000 persons per year. Almost 10% of the patients sustained permanent disability. Mean and median ages of the patients were 14.9 years and 15.8 years, respectively; 79% were male and 82% were black. The majority of the children (63%) lived in census tracts with a high proportion of families in poverty. Black males had the highest rates of firearm injury, with a 1-year incidence of 233 per 100,000 persons per year. At younger than 12 years, the rates were equal among the races; however, for those 12 years and older, black adolescents had 13 times the risk of white adolescents (541 compared to 42 per 100,000 persons per year). The majority (71%) of injuries were due to assaults, with drive-by shootings the most frequent circumstance. The majority of unintentional injuries occurred to adolescents as the result of an unplanned discharge of a handgun as it was being placed in or removed from concealment. Among the patients, 39% were admitted to the hospital and 26% required surgery. CONCLUSIONS: 1) Black male adolescents had the highest risk of firearm injury or fatality. 2) The majority of victims lived in census tracts characterized by poverty. 3) injuries were alarmingly severe. 4) Interpersonal violence was the leading contributor to fatal and nonfatal injuries. 5) Unintentional injuries characteristically occurred during the process of weapon concealment. 6) The leading contributor to injury and death was the interaction of adolescents and guns, particularly handguns. The main implication for firearm-injury prevention in this population is the limiting of access to guns by adolescents. In addition, measures aimed at preventing violent behavior, such as education in nonviolent methods of conflict resolution, should be explored.