Youth and Young Adult Victims of Interpersonal Violence at LA County + USC Medical Center: A Review of Epidemiology and Recidivism.

Youth and young adult interpersonal violence (IPV) is a unique clinical challenge which merits study. This study defined the demographics and clinical outcomes of youth and young adult victims of IPV presenting to our hospital while examining violent injury recidivism. We reviewed patients aged 10 to 30 years admitted to our trauma bay as a victim of gunshot wound (GSW), stabbing wound, or blunt assault from 1998 to 2015 (n = 12,549). Logistic regression analysis was conducted to compare patient mortality across demographic characteristics, and Cox proportional hazards regression was used to determine risk factors for recidivism. Male (92%) and Hispanic patients (75%) constituted the majority of admissions. We observed differences in the mortality rate by gender (9% in males vs 5% in females, P < 0.001), race/ethnicity (5% non-Hispanic white vs 9% Hispanic, P = 0.001), insurance status (3% insured vs 10% uninsured, P < 0.001), and mechanism of injury (13% GSW, 2% stabbing wound, and 0.3% blunt assault, P < 0.001). Male gender, younger age, GSW, and amphetamine placed patients at higher risk for IPV recidivism (P < 0.05). This study demonstrates the need to better understand how demographics and economics are associated with youth and young adult IPV. In addition, future IPV prevention and intervention initiatives can be tailored to suit the unique needs of our population.

Acute Surgical Decision-Making in Abdominal Trauma Is Not Altered by Race or Socioeconomic Status.

Two main procedures are performed on patients suffering from colonic perforation, diverting colostomy and primary tissue repair. We investigated patient race, ethnicity, and socioeconomic status (SES) that predicted surgical outcomes after blunt or penetrating trauma. A retrospective analysis was performed using data from the National Trauma Data Bank for three years (2013-2015). We identified patients who presented with primary colonic injury and subsequent colon operation (n = 5431). Operations were grouped into three classes: colostomy, ileostomy, and nonostomy. Multiple linear and logistic regressions were performed to assess how race and insurance status are associated with the primary outcome of interest (ostomy formation) and secondary outcomes such as length of stay, time spent in ICU, and surgical site infection. Neither race/ethnicity nor insurance status proved to be reliable predictors for the formation of an ostomy. Patients who received either a colostomy or ileostomy were likely to have longer stays (OR [odds ratio]: 5.28; 95% CI [confidence interval]: 3.88-6.69) (OR: 11.24; 95% CI: 8.53-13.95), more time spent in ICU (2.73; 1.70-3.76) (7.98; 6.10-9.87), and increased risk for surgical site infection (1.32; 1.03-1.68) (2.54; 1.71-3.78). Race/ethnicity and SES were not reliable predictors for surgical decision-making on the formation of an ostomy after blunt and penetrating colonic injury. However, the severity of the injury as calculated by Injury Severity Score and the number of abdominal injuries were both associated with higher rates of colostomy and ileostomy. These data suggest that surgical decision-making is dependent on perioperative patient presentation and, not on race, ethnicity, or SES.

Minority trauma patients tend to cluster at trauma centers with worse-than-expected mortality: can this phenomenon help explain racial disparities in trauma outcomes?

OBJECTIVES: To determine whether minority trauma patients are more commonly treated at trauma centers (TCs) with worse observed-to-expected (O/E) survival. BACKGROUND: Racial disparities in survival after traumatic injury have been described. However, the mechanisms that lead to these inequities are not well understood. METHODS: Analysis of level I/II TCs included in the National Trauma Data Bank 2007-2010. White, Black, and Hispanic patients 16 years or older sustaining blunt/penetrating injuries with an Injury Severity Score of 9 or more were included. TCs with 50% or more Hispanic or Black patients were classified as predominantly minority TCs. Multivariate logistic regression adjusting for several patient/injury characteristics was used to predict the expected number of deaths for each TC. O/E mortality ratios were then generated and used to rank individual TCs as low (O/E <1), intermediate, or high mortality (O/E >1). RESULTS: A total of 556,720 patients from 181 TCs were analyzed; 86 TCs (48%) were classified as low mortality, 6 (3%) intermediate, and 89 (49%) as high mortality. More of the predominantly minority TCs [(82% (22/27) vs 44% (67/154)] were classified as high mortality (P < 0.001). Approximately 64% of Black patients (55,673/87,575) were treated at high-mortality TCs compared with 54% Hispanics (32,677/60,761) and 41% Whites (165,494/408,384) (P < 0.001). CONCLUSIONS: Minority trauma patients are clustered at hospitals with significantly higher-than-expected mortality. Black and Hispanic patients treated at low-mortality hospitals have a significantly lower odds of death than similar patients treated at high-mortality hospitals. Differences in TC outcomes and quality of care may partially explain trauma outcomes disparities.

Insurance-and race-related disparities decrease in elderly trauma patients.

BACKGROUND: Little focus is on health care disparities in the elderly, a population largely covered by public insurance. We characterized insurance type and race in elderly trauma patients to determine if lack of insurance or minority status predict increased mortality. METHODS: The National Trauma Data Bank (version 7.0) was queried for all adult blunt trauma patients. We divided patients into two cohorts (15-64 or ≥ 65 years) based on age for universal Medicare eligibility. Our primary outcome measure was in-hospital mortality. Multiple logistic regression was used to control for confounding variables. RESULTS: A total of 541,471 patients met inclusion criteria. Among younger patients, the most common insurance type was private (41.0%), with 26.9% uninsured. In contrast, the most common insurance type among older patients was Medicare (64.6%), with 6.0% uninsured. Within the younger cohort, private insurance (adjusted odds ratio [AOR], 0.6; p < 0.01) and other insurance (AOR, 0.8; p < 0.01) predicted reduced mortality, while Medicare predicted similar mortality (AOR, 1.1; p = 0.18) compared with no insurance. Black race (AOR, 1.4; p < 0.01) and Hispanic ethnicity (AOR, 1.4; p < 0.01) predicted higher mortality compared with white race. Within the older cohort, no insurance predicted similar mortality as Medicare (AOR, 1.0; p = 0.43), private insurance (AOR, 1.0; p = 0.51), and other insurance (AOR, 1.0; p = 0.71). Hispanic ethnicity predicted increased mortality (AOR, 1.4; p < 0.01), while Asian race was protective (AOR, 0.7; p = 0.01) compared with white race. CONCLUSION: Elderly trauma patients present primarily with Medicare, while younger trauma patients are mostly privately insured; elderly patients are four times more likely to be insured. Disparities caused by lack of insurance and minority race are reduced in elderly trauma patients. LEVEL OF EVIDENCE: Epidemiologic/prognostic study, level III.

Insurance status is a potent predictor of outcomes in both blunt and penetrating trauma.

BACKGROUND: Patients with penetrating injuries are known to have worse outcomes than those with blunt trauma. We hypothesize that within each injury mechanism there should be no outcome difference between insured and uninsured patients. METHODS: The National Trauma Data Bank version 7 was analyzed. Patients aged 65 years and older and burn patients were excluded. The insurance status was categorized as insured (private, government/military, or Medicaid) and uninsured. Multivariate analysis adjusted for insurance status, mechanism of injury, age, race, sex, injury severity score, shock, head injury, extremity injury, teaching hospital status, and year. RESULTS: A total of 1,203,243 patients were analyzed, with a mortality rate of 3.7%. The death rate was significantly higher in penetrating trauma patients versus blunt trauma patients (7.9% vs 3.0%; P < .001), and higher in the uninsured (5.3% vs 3.2%; P < .001). On multivariate analysis, uninsured patients had an increased odds of death than insured patients, in both penetrating and blunt trauma patients. Penetrating trauma patients with insurance still had a greater risk of death than blunt trauma patients without insurance. CONCLUSIONS: Insurance status is a potent predictor of outcome in both penetrating and blunt trauma.