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.
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 traumapatients 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 traumapatients. 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 traumapatients present primarily with Medicare, while younger traumapatients 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 traumapatients. LEVEL OF EVIDENCE: Epidemiologic/prognostic study, level III.
Authors: Valerie K Scott; Zain G Hashmi; Eric B Schneider; Xuan Hui; David T Efron; Edward E Cornwell; Lisa A Cooper; Adil H Haider Journal: J Surg Res Date: 2013-05-21 Impact factor: 2.192
Authors: Caitlin W Hicks; Zain G Hashmi; Catherine Velopulos; David T Efron; Eric B Schneider; Elliott R Haut; Edward E Cornwell; Adil H Haider Journal: JAMA Surg Date: 2014-07 Impact factor: 14.766
Authors: B K Dodson; M Braswell; A P David; J S Young; L M Riccio; Y Kim; J F Calland Journal: J Public Health (Oxf) Date: 2018-12-01 Impact factor: 2.341