Insurance type is a determinant of 2-year mortality after non-neurologic trauma

J Surg Res. 2010 May 15;160(2):196-201. doi: 10.1016/j.jss.2009.06.059. Epub 2009 Aug 21.

Abstract

Background: Lack of health insurance (NO-INS) is associated with increased long-term mortality after head and spinal cord injuries (NEURO-TRA). Less is known about the influence of insurance type and long-term mortality following non-NEURO-TRA. We hypothesized that NO-INS would be associated with 2-y mortality after moderate to severe injury.

Methods: Adults (>or=18) treated at a level-I trauma center following a moderate to severe blunt injury (ISS>15) and without NEURO-TRA from 2000-2005 and discharged alive were eligible for the study. Two-y mortality was determined utilizing the Social Security Administration Death Master File. Logistic regression analysis was used to determine if type of insurance [NO-INS, Private (PRIV-INS), Medicare/Medicaid; GOV-INS), or Other (OTH-INS)] was related to 2-y mortality.

Results: One thousand nine hundred fifty-eight patients met study inclusion/exclusion criteria. Two-y risk of death was 2.96%. On univariate analysis, admission age, lactate, and insurance type were associated with 2-y mortality (P<0.25). However, race was not. After adjusting for admission age and lactate, compared with PRIV-INS, having either NO-INS or GOV-INS was significantly associated with increased 2-y mortality. The analysis was repeated without patients eligible for Medicare (Age>or=65), and GOV-INS was still associated with increased 2-y mortality (OR 4.47 P<0.05).

Conclusion: Following moderate to severe blunt, non-NEURO-TRA, having GOVT-INS or NO-INS was associated with increased 2-y mortality. The mechanism by which this association may be explained is unclear. Future research focused on elucidating mechanisms behind poor long-term outcomes should include an examination of socioeconomic status as a potential contributor to reduced long-term mortality after injury.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Female
  • Humans
  • Insurance, Health / statistics & numerical data*
  • Logistic Models
  • Male
  • Medicaid / statistics & numerical data*
  • Medically Uninsured / statistics & numerical data*
  • Medicare / statistics & numerical data*
  • Middle Aged
  • Outcome Assessment, Health Care / statistics & numerical data
  • Risk Factors
  • Social Class
  • United States / epidemiology
  • United States Social Security Administration / statistics & numerical data
  • Wounds, Nonpenetrating / mortality*
  • Young Adult