title: The impact of private insurance coverage on veterans' use of VA care: insurance and selection effects.
abstract: OBJECTIVE
  To examine private insurance coverage and its impact on use of Veterans Health Administration (VA) care among VA enrollees without Medicare coverage.
  
  
  METHODS
  The 1999 National Health Survey of Veteran Enrollees merged with VA administrative data, with other information drawn from American Hospital Association data and the Area Resource File.
  
  
  METHODS
  We modeled VA enrollees' decision of having private insurance coverage and its impact on use of VA care controlling for sociodemographic information, patients' health status, VA priority status and access to VA and non-VA alternatives. We estimated the true impact of insurance on the use of VA care by teasing out potential selection bias. Bias came from two sources: a security selection effect (sicker enrollees purchase private insurance for extra security and use more VA and non-VA care) and a preference selection effect (VA enrollees who prefer non-VA care may purchase private insurance and use less VA care).
  
  
  RESULTS
  VA enrollees with private insurance coverage were less likely to use VA care. Security selection dominated preference selection and naïve models that did not control for selection effects consistently underestimated the insurance effect.
  
  
  CONCLUSIONS
  Our results indicate that prior research, which has not controlled for insurance selection effects, may have underestimated the potential impact of any private insurance policy change, which may in turn affect VA enrollees' private insurance coverage and consequently their use of VA care. From the decline in private insurance coverage from 1999 to 2002, we projected an increase of 29,400 patients and 158 million dollars for VA health care services.
authors.affiliation: VA New Jersey Healthcare System Center for Healthcare Knowledge Management, East Orange VA Medical Center, 385 Tremont Avenue, Mailstop 129, East Orange, NJ 07018-1095, USA.
authors.forename: Yujing
authors.initials: Y
authors.lastname: Shen
authors.forename: Ann
authors.initials: A
authors.lastname: Hendricks
authors.forename: Fenghua
authors.initials: F
authors.lastname: Wang
authors.forename: John
authors.initials: J
authors.lastname: Gardner
authors.forename: Lewis E
authors.initials: LE
authors.lastname: Kazis
mesh_terms: D000328:Adult; D000368:Aged; D003657:Decision Making; D005260:Female; D006297:Health Services Accessibility / Q000191:economics; D006787:Hospitals, Veterans / Q000592:standards / Q000706:statistics & numerical data*; D006801:Humans; D007348:Insurance, Health / Q000706:statistics & numerical data* / Q000639:trends; D008297:Male; D008875:Middle Aged; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data*; D017149:Private Sector / Q000191:economics / Q000706:statistics & numerical data*; D011787:Quality of Health Care; D014481:United States; D014493:United States Department of Veterans Affairs; D014728:Veterans / Q000523:psychology*