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Healthcare| Volume 163, ISSUE 4, P651-656, April 2018

Universal insurance and an equal access healthcare system eliminate disparities for Black patients after traumatic injury

Published:December 05, 2017DOI:https://doi.org/10.1016/j.surg.2017.09.045

      Abstract

      Background

      Although inequities in trauma care are reported widely, some groups have theorized that universal health insurance would decrease disparities in care for disadvantaged minorities after a traumatic injury. We sought to examine the presence of racial disparities in outcomes and healthcare utilization at 30- and 90-days after discharge in this universally insured, racially diverse, American population treated for traumatic injuries.

      Methods

      This work studied adult beneficiaries of TRICARE treated at both military and civilian trauma centers 2006–2014. We included patients with an inpatient trauma encounter based on International Classification of Diseases, 9th revision (ICD-9) code. The mechanism and severity of injury, medical comorbidities, region and environment of care, and demographic factors were used as covariates. Race was considered the main predictor variable with Black patients compared to Whites. Logistic regression models were employed to assess for risk-adjusted differences in 30- and 90-day outcomes between Blacks and Whites.

      Results

      A total of 87,112 patients met the inclusion criteria. Traditionally encountered disparities for Black patients after trauma, including increased rates of mortality, were absent. We found a statistically significant decrease in the odds of 90-day complications for Blacks (OR 0.91; 95% CI 0.84–0.98; P = 0.01). Blacks also had lesser odds of readmission at 30-days (OR 0.87; 95% CI 0.79–0.94; P = 0.002) and 90-days (OR 0.86; 95% CI 0.79–0.93; P < 0.001).

      Conclusion

      Our findings support the idea that in a universally insured, equal access system, historic disparities for racial and ethnic minorities, including increased postinjury morbidity, hospital readmission, and postdischarge healthcare utilization, are decreased or even eliminated.
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      References

        • Haider A.H.
        • Weygandt P.L.
        • Bentley J.M.
        • et al.
        Disparities in trauma care and outcomes in the United States: a systematic review and meta-analysis.
        J Trauma Acute Care Surg. 2013; 74: 1195-1205
        • Hisam B.
        • Zogg C.K.
        • Chaudhary M.A.
        • et al.
        From understanding to action: interventions for surgical disparities.
        J Surg Res. 2016; 200: 560-578
        • Barnato A.E.
        • Lucas F.L.
        • Staiger D.
        • Wennberg D.E.
        • Chandra A.
        Hospital-level racial disparities in acute myocardial infarction treatment and outcomes.
        Med Care. 2005; 43: 308-319
        • Morris A.M.
        • Rhoads K.F.
        • Stain S.C.
        • Birkmeyer J.D.
        Understanding racial disparities in cancer treatment and outcomes.
        J Am Coll Surg. 2010; 211: 105-113
        • Haider A.H.
        • Scott V.K.
        • Rehman K.A.
        • et al.
        Racial disparities in surgical care and outcomes in the United States: a comprehensive review of patient, provider, and systemic factors.
        J Am Coll Surg. 2013; 16: 482-492
        • LaVeist T.
        • Gaskin D.
        • Richard P.
        Estimating the economic burden of racial health inequalities in the United States.
        Int J Health Serv. 2011; 41: 231-238
        • Englum B.R.
        • Villegas C.
        • Bolorunduro O.
        • et al.
        Racial, ethnic, and insurance status disparities in use of posthospitalization care after trauma.
        J Am Coll Surg. 2011; 213: 699-708
        • Haider A.H.
        • Chang D.C.
        • Efron D.T.
        • Haut E.R.
        • Crandall M.
        • Cornwell E.E.
        Race and insurance status as risk factors for trauma mortality.
        Arch Surg. 2008; 143: 945-949
        • Chen J.
        • Rathore S.S.
        • Radford M.J.
        • Wang Y.
        • Krumholz H.M.
        Racial differences in the use of cardiac catheterization after acute myocardial infarction.
        N Engl J Med. 2001; 344: 1443-1449
        • Heisler M.
        • Smith D.M.
        • Hayward R.A.
        • Krein S.L.
        • Kerr E.A.
        Racial disparities in diabetes care processes, outcomes, and treatment intensity.
        Med Care. 2003; 41: 1221-1232
        • Zogg C.K.
        • Jiang W.
        • Chaudhary M.A.
        • et al.
        Racial disparities in emergency general surgery: do differences in outcomes persist among universally insured military patients?.
        J Trauma Acute Care Surg. 2016; 80: 764-777
        • Schoenfeld A.J.
        • Belmont Jr, P.J.
        • See A.A.
        • Bader J.O.
        • Bono C.M.
        Patient demographics, insurance status, race, and ethnicity as predictors of morbidity and mortality after spine trauma: a study using the National Trauma Data Bank.
        Spine J. 2013; 13: 1766-1773
        • Schoenfeld A.J.
        • Lurie J.D.
        • Zhao W.
        • Bono C.M.
        The effect of race on outcomes of surgical or nonsurgical treatment of patients in the Spine Patient Outcomes Research Trial (SPORT).
        Spine. 2012; 37: 1505-1515
        • Schoenfeld A.J.
        • Tipirneni R.
        • Nelson J.H.
        • Carpenter J.E.
        • Iwashyna T.J.
        The influence of race and ethnicity on complications and mortality after orthopedic surgery: a systematic review of the literature.
        Med Care. 2014; 52: 842-851
        • Dy C.J.
        • Lane J.M.
        • Pan T.J.
        • Parks M.L.
        • Lyman S.
        Racial and socioeconomic disparities in hip fracture care.
        J Bone Joint Surg Am. 2016; 98: 858-865
        • Schoenfeld A.J.
        • Zhang D.
        • Walley K.C.
        • Bono C.M.
        • Harris M.B.
        The influence of race and hospital environment on the care of patients with cervical spine fractures.
        Spine J. 2016; 16: 602-607
        • Rangrass G.
        • Ghaferi A.A.
        • Dimick J.B.
        Explaining racial disparities in outcomes after cardiac surgery: the role of hospital quality.
        JAMA Surg. 2014; 149: 223-227
        • Sarrazin M.S.
        • Campbell M.E.
        • Richardson K.K.
        • Rosenthal G.E.
        Racial segregation and disparities in health care delivery: conceptual model and empirical assessment.
        Health Serv Res. 2009; 44: 1424-1444
        • Schoenfeld A.J.
        • Jiang W.
        • Harris M.B.
        • et al.
        Association between race and postoperative outcomes in a universally insured population versus patients in the State of California.
        Ann Surg. 2017; 266: 267-273
        • Clark J.Y.
        • Thompson I.M.
        Military rank as a measure of socioeconomic status and survival from prostate cancer.
        South Med J. 1994; 87: 1141-1144
        • Schoenfeld A.J.
        • Goodman G.P.
        • Burks R.
        • Black M.A.
        • Nelson J.H.
        • Belmont Jr, P.J.
        The influence of musculoskeletal conditions, behavioral health diagnoses, and demographic factors on injury-related outcome in a high-demand population.
        J Bone Joint Surg Am. 2014; 96: e1061-e1068
        • Tarman G.J.
        • Kane C.J.
        • Moul J.W.
        • et al.
        Impact of socioeconomic status and race on clinical parameters of patients undergoing radical prostatectomy in an equal access health care system.
        Urology. 2000; 56: 1016-1020
      1. Tricare cost co-pay schedule [Military TRICARE benefits website]..
        (January 1)
        • Henry A.J.
        • Hevelone N.D.
        • Lipsitz S.
        • Nguyen L.L.
        Comparative methods for handling missing data in large databases.
        J Vasc Surg. 2013; 58: 1353-1359
        • Greene N.H.
        • Kernic M.A.
        • Vavilala M.S.
        • Rivara F.P.
        Validation of ICDPIC software injury severity scores using a large regional trauma registry.
        Inj Prev. 2015; 21: 325-330
        • Deyo R.A.
        • Cherkin D.C.
        • Ciol M.A.
        Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.
        J Clin Epidemiol. 1992; 45: 613-619
        • Sheetz K.H.
        • Dimick J.B.
        • Ghaferi A.A.
        The association between hospital care intensity and surgical outcomes in Medicare patients.
        JAMA Surg. 2014; 149: 1254-1259
        • Seamon M.J.
        • Ginwalla R.
        • Kulp H.
        • et al.
        HIV and hepatitis in an urban penetrating trauma population: unrecognized and untreated.
        J Trauma. 2011; 71: 306-310
        • Pierre-Louis B.J.
        • Moore A.D.
        • Hamilton J.B.
        The military health care system may have the potential to prevent health care disparities.
        J Racial Ethn Health Disparities. 2015; 2: 280-289
        • Clark J.B.
        • Holt V.L.
        • Miser F.
        Unintended pregnancy among female soldiers presenting for prenatal care at Madigan Army Medical Center.
        Mil Med. 1998; 163: 444-448
        • Mullie P.
        • Clarys P.
        • Hulens M.
        • Vansant G.
        Distribution of cardiovascular risk factors in Belgian army men.
        Arch Environ Occup Health. 2010; 65: 135-139
        • Masel J.
        • Deiss R.G.
        • Wang X.
        • et al.
        Seroprevalence and seroincidence of herpes simplex virus (2006–2010), syphilis (2006–2010), and vaccine-preventable human papillomavirus subtypes (2000–2010) among US military personnel.
        Sex Transm Dis. 2015; 42: 253-258
        • Deiss R.
        • Bower R.J.
        • Co E.
        • et al.
        The association between sexually transmitted infections, length of service and other demographic factors in the U.S. military.
        PLoS ONE. 2016; 11: e0167892
        • Gimbel R.W.
        • Pangaro L.
        • Barbour G.
        America's “undiscovered” laboratory for Health Services Research.
        Med Care. 2010; 48: 751-756