title: Access to Care Among Nonelderly Veterans.
abstract: BACKGROUND
  Veteran access to care is an important policy issue that has not previously been examined with population-based survey data.
  
  
  OBJECTIVE
  This study compares access to care for nonelderly adult Veterans versus comparable non-Veterans, overall and within subgroups defined by simulated eligibility for health care from the Veterans Health Administration and by insurance status.
  
  
  METHODS
  We use household survey data from the Medical Expenditure Panel Survey from 2006 to 2011. We use iterative proportional fitting to standardize (control for) differences in age, sex, income, medical conditions, disability, Census region, and Metropolitan Statistical Area.
  
  
  METHODS
  Nonelderly Veterans and comparable non-Veterans.
  
  
  METHODS
  For medical, dental, and prescription medicine treatments, we use 4 access measures: delaying care, inability to obtain care, perceiving delay as a big problem, and perceiving inability to obtain care as a big problem. We also examine having a usual source of care.
  
  
  RESULTS
  Frequencies of access barriers are similar for nonelderly Veterans and comparable non-Veterans for dental and prescription medicine treatments. For medical treatment, we find that Veterans eligible for VA health care and Veterans with VA use who are uninsured report fewer access problems than the comparable non-Veteran populations for 2 measures: inability to obtain care and reporting inability to obtain care as a big problem.
  
  
  CONCLUSIONS
  Our results show that uninsured Veterans, the most policy-relevant group, have better access to care than comparable non-Veterans. Our results highlight the importance of adjusting Veteran and non-Veteran comparisons to account for the higher than average health care needs of Veterans.
authors.affiliation: Center for Financing, Access, and Cost Trends, Division of Modeling and Research, Agency for Healthcare Research and Quality (AHRQ), Rockville, MD.
authors.forename: Didem M
authors.initials: DM
authors.lastname: Bernard
authors.forename: Thomas M
authors.initials: TM
authors.lastname: Selden
mesh_terms: D000328:Adult; D000367:Age Factors; D005260:Female; D006297:Health Services Accessibility / Q000706:statistics & numerical data*; D006304:Health Status; D006801:Humans; D019458:Insurance Coverage / Q000706:statistics & numerical data; D008297:Male; D008603:Mental Health; D008875:Middle Aged; D055553:Prescription Drugs; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012737:Sex Factors; D012959:Socioeconomic Factors; D014481:United States; D014493:United States Department of Veterans Affairs / Q000706:statistics & numerical data*; D014728:Veterans / Q000706:statistics & numerical data*; D014850:Waiting Lists; D055815:Young Adult
chemical_list: D055553:Prescription Drugs