Literature DB >> 23147178

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

Matthew B Singer1, Douglas Z Liou, Morgan A Clond, Marko Bukur, James Mirocha, Daniel R Margulies, Ali Salim, Eric J Ley.   

Abstract

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.

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Year:  2013        PMID: 23147178     DOI: 10.1097/TA.0b013e31826fc899

Source DB:  PubMed          Journal:  J Trauma Acute Care Surg        ISSN: 2163-0755            Impact factor:   3.313


  6 in total

1.  Counting the lives lost: how many black trauma deaths are attributable to disparities?

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

2.  Rural risk: Geographic disparities in trauma mortality.

Authors:  Molly P Jarman; Renan C Castillo; Anthony R Carlini; Lisa M Kodadek; Adil H Haider
Journal:  Surgery       Date:  2016-08-06       Impact factor: 3.982

3.  Association between race and age in survival after trauma.

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

4.  Disparities in Adult and Pediatric Trauma Outcomes: a Systematic Review and Meta-Analysis.

Authors:  Carol Sanchez; Saamia Shaikh; Brianna Dowd; Radleigh Santos; Mark McKenney; Adel Elkbuli
Journal:  World J Surg       Date:  2020-09       Impact factor: 3.352

5.  Racial and Ethnic Disparities in Frail Geriatric Trauma Patients.

Authors:  Tanya Anand; Muhammad Khurrum; Mohamad Chehab; Letitia Bible; Samer Asmar; Molly Douglas; Michael Ditillo; Lynn Gries; Bellal Joseph
Journal:  World J Surg       Date:  2021-03-04       Impact factor: 3.352

6.  Adult and elderly population access to trauma centers: an ecological analysis evaluating the relationship between injury-related mortality and geographic proximity in the United States in 2010.

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

  6 in total

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