Evaluation of a Computer-Based Recruitment System for Enrolling Men Who Have Sex With Men Into an Observational HIV Behavioral Risk Study

Am J Epidemiol. 2016 Sep 15;184(6):477-83. doi: 10.1093/aje/kww020. Epub 2016 Sep 8.

Abstract

Enrolling large numbers of high-risk men who have sex with men (MSM) into human immunodeficiency virus (HIV) prevention studies is necessary for research with an HIV outcome, but the resources required for in-person recruitment can be prohibitive. New methods with which to efficiently recruit large samples of MSM are needed. At a sexually transmitted disease clinic in Seattle, Washington, in 2013-2014, we used an existing clinical computer-assisted self-interview that collects patients' medical and sexual history data to recruit, screen, and enroll MSM into an HIV behavioral risk study and compared enrollees with men who declined to enroll. After completing the clinical computer-assisted self-interview, men aged ≥18 years who reported having had sex with men in the prior year were presented with an electronic study description and consent statement. We enrolled men at 2,661 (54%) of 4,944 visits, including 1,748 unique individuals. Enrolled men were younger (mean age = 34 years vs. 37 years; P < 0.001) and reported more male sex partners (11 vs. 8; P < 0.001) and more methamphetamine use (15% vs. 8%; P < 0.001) than men who declined to enroll, but the HIV test positivity of the two groups was similar (1.9% vs. 2.0%; P = 0.80). Adapting an existing computerized clinic intake system, we recruited a large sample of MSM who may be an ideal population for an HIV prevention study.

Keywords: HIV; electronic consent; men who have sex with men; research design.

MeSH terms

  • AIDS Serodiagnosis / statistics & numerical data
  • Adolescent
  • Adult
  • Condoms / statistics & numerical data
  • Cross-Sectional Studies
  • Drug Users / statistics & numerical data
  • Epidemiologic Research Design*
  • HIV Infections / prevention & control*
  • HIV Infections / transmission
  • Homosexuality, Male*
  • Humans
  • Internet
  • Male
  • Observational Studies as Topic
  • Patient Selection*
  • Research Subjects / statistics & numerical data*
  • Risk Assessment / methods
  • Sexual Behavior / statistics & numerical data
  • Sexual Partners
  • Sexually Transmitted Diseases / diagnosis
  • Sexually Transmitted Diseases / epidemiology
  • Surveys and Questionnaires
  • Washington / epidemiology
  • Young Adult