title: The effect of insurance coverage changes on drug utilization in HIV disease.
abstract: BACKGROUND
  Insurance coverage facilitates access to life-saving medications for many patients with HIV disease. Thus, the effects of insurance coverage changes, such as the gain or loss of coverage, may be important in explaining patient access and adherence to the medications used in the treatment of HIV disease.
  
  
  OBJECTIVE
  The study's objective was to examine whether changes in health insurance coverage affect rates of prescription drug use by patients with HIV disease.
  
  
  METHODS
  Data were ascertained from adults participating in a series of up to six interviews as part of the AIDS Costs and Services Utilization Survey (ACSUS). ACSUS was an 18-month panel survey of patients in care for HIV/AIDS at 26 sites located in 10 U.S. cities. Poisson regression analyses with generalized estimating equations were conducted to determine the effects of demographic and socioeconomic variables on the acquisition rate of antiretrovirals, antipneumocystics, and antidepressants. The analytic sample consisted of 1566 respondents who provided 6518 interviews.
  
  
  RESULTS
  Although changes in insurance coverage were common, complete loss of insurance was reported in only 1.5% of the interviews whereas gaining insurance was reported in 3.3% of interviews. Having no coverage was associated with significantly lower rates of antiretroviral (rate ratio [RR], 0.73), antipneumocystic (RR, 0.58) and antidepressant use (RR, 0.31). Gaining insurance coverage was associated with lower antiretroviral (RR, 0.75) and antipneumocystic (RR, 0.70) use whereas losing insurance was associated with lower antiretroviral use (RR, 0.58). In multivariate analyses, these associations remained.
  
  
  CONCLUSIONS
  Changes in health insurance coverage are associated with lower rates of drug use for some medications used by patients with HIV disease.
authors.affiliation: Division of Pharmaceutical Policy and Evaluative Sciences, The University of North Carolina at Chapel Hill, 27599-7360, USA. ssmith@unc.edu
authors.forename: S R
authors.initials: SR
authors.lastname: Smith
authors.forename: D M
authors.initials: DM
authors.lastname: Kirking
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D000704:Analysis of Variance; D019380:Anti-HIV Agents / Q000145:classification / Q000191:economics*; D000928:Antidepressive Agents / Q000145:classification / Q000191:economics; D003365:Costs and Cost Analysis; D003710:Demography; D011307:Drug Prescriptions / Q000191:economics; D005006:Ethnicity; D005260:Female; D015658:HIV Infections / Q000188:drug therapy* / Q000191:economics; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D007348:Insurance, Health / Q000191:economics*; D007407:Interviews as Topic; D008297:Male; D008484:Medicaid / Q000191:economics; D006278:Medicare / Q000191:economics; D008875:Middle Aged; D015233:Models, Statistical; D015999:Multivariate Analysis; D016012:Poisson Distribution; D012044:Regression Analysis; D012959:Socioeconomic Factors; D014481:United States
chemical_list: D019380:Anti-HIV Agents; D000928:Antidepressive Agents