title: Healthcare-related correlates of recent HIV testing in New York City.
abstract: OBJECTIVE
  To examine healthcare-related correlates of recent HIV testing among New York City (NYC) residents, controlling for socio-demographic and HIV-related risk factors.
  
  
  METHODS
  Using the NYC 2007 Community Health Survey (population-based telephone survey, n=8911), recent HIV testing was examined for its association with healthcare-related variables, including medical screening for other conditions, controlling for other HIV testing correlates using multiple logistic regression.
  
  
  RESULTS
  Factors associated with a recent HIV test included: provider recommendation for an HIV test (adjusted odds ratio [AOR]: 10.1, 95% confidence interval [CI]:7.6-13.5), Medicaid versus private insurance (AOR: 1.6, 95% CI: 1.2-2.1), and having a personal doctor (AOR: 1.6, 95% CI: 1.3-2.1). The proportion of HIV tests attributed to each factor (attributable-fraction [AF]) was 49% for provider recommendation, 33% for having a personal doctor, and 8.3% for Medicaid insurance. Among subgroups eligible for other medical screening, factors associated with recent HIV testing included recent receipt of blood lipid testing (AOR: 2.2, 95% CI: 1.6-3.0; AF: 45%), and Pap smear (AOR: 2.7, 95% CI: 2.1-3.5; AF: 52%). Recent receipt of mammography and colonoscopy was not associated with recent HIV testing.
  
  
  CONCLUSIONS
  A substantial proportion of recent HIV testing coverage among New Yorkers may be attributable to healthcare-related factors. Joint medical screening may provide opportunities to increase population HIV testing coverage.
authors.affiliation: Department of Epidemiology, Columbia University Mailman School of Public Health, NY, NY, USA. ekk2105@columbia.edu
authors.forename: Edward K
authors.initials: EK
authors.lastname: Kim
authors.forename: Lorna
authors.initials: L
authors.lastname: Thorpe
authors.forename: Julie E
authors.initials: JE
authors.lastname: Myers
authors.forename: Denis
authors.initials: D
authors.lastname: Nash
mesh_terms: D000293:Adolescent; D000368:Aged; D003113:Colonoscopy / Q000523:psychology / Q000706:statistics & numerical data; D055088:Early Detection of Cancer / Q000523:psychology / Q000706:statistics & numerical data; D005260:Female; D015658:HIV Infections / Q000175:diagnosis* / Q000208:ethnology; D007722:Health Knowledge, Attitudes, Practice / Q000208:ethnology; D006305:Health Status Indicators; D006801:Humans; D019458:Insurance Coverage / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D008403:Mass Screening / Q000191:economics / Q000523:psychology / Q000706:statistics & numerical data*; D008484:Medicaid / Q000191:economics / Q000706:statistics & numerical data; D008875:Middle Aged; D009519:New York City; D010342:Patient Acceptance of Health Care / Q000208:ethnology / Q000523:psychology*; D011159:Population Surveillance; D017149:Private Sector / Q000191:economics / Q000706:statistics & numerical data; D012307:Risk Factors; D012725:Sexual Behavior / Q000523:psychology / Q000706:statistics & numerical data; D012923:Social Class; D011795:Surveys and Questionnaires; D014171:Transients and Migrants / Q000523:psychology / Q000706:statistics & numerical data; D014481:United States; D055815:Young Adult