Risk and Protective Profile of Men Who Have Sex With Men Using Mobile Voluntary HIV Counseling and Testing: Latent Class Analysis

• Published in: JMIR public health and surveillance 2023-02, Vol.9, p.e43394-e43394
• Main Authors: Chiou, Piao-Yi, Tsao, Wei-Wen, Lin, Kuan-Chia, Fang, Yuan-Yuan, Lin, Kuan-Yin, Li, Chia-Lin
• Format: Article
• Language: English
• Subjects: Adult; Counseling; Cross-Sectional Studies; Disease prevention; Disease transmission; Drug use; Gays & lesbians; HIV; HIV Infections - diagnosis; HIV Infections - epidemiology; HIV Infections - prevention & control; Homosexuality, Male; Human immunodeficiency virus; Humans; Infections; Latent Class Analysis; Male; Medical tests; Mens health; Original Paper; Prophylaxis; Questionnaires; Recreational drugs; Research design; Risk taking; Sexual and Gender Minorities; Sexually transmitted diseases; Social networks; STD
• ISSN: 2369-2960; 2369-2960
• DOI: 10.2196/43394

Mobile voluntary counseling and testing (VCT) for HIV has been carried out to improve the targeting of at-risk populations and HIV case detection for men who have sex with men (MSM). However, the HIV-positive detection rate using this screening strategy has declined in recent years. This may imply unknown changes in risk-taking and protective features jointly influencing the testing results. These changing patterns in this key population remain unexplored. The aim of this study was to identify the nuanced group classification of MSM who underwent mobile VCT using latent class analysis (LCA), and to compare the difference in characteristics and testing results between subgroups. A cross-sectional research design and purposive sampling were applied between May 21, 2019, and December 31, 2019. Participants were recruited by a well-trained research assistant through social networking platforms, including the most popular instant messenger app Line, geosocial network apps dedicated to MSM, and online communities. Mobile VCT was provided to participants at an assigned time and place. Demographic characteristics and risk-taking and protective features of the MSM were collected via online questionnaires. LCA was used to identify discrete subgroups based on four risk-taking indicators-multiple sexual partners (MSP), unprotected anal intercourse (UAI), recreational drug use within the past 3 months, and history of sexually transmitted diseases-and three protective indicators-experience of postexposure prophylaxis, preexposure prophylaxis use, and regular HIV testing. Overall, 1018 participants (mean age 30.17, SD 7.29 years) were included. A three-class model provided the best fit. Classes 1, 2, and 3 corresponded to the highest risk (n=175, 17.19%), highest protection (n=121, 11.89%), and low risk and low protection (n=722, 70.92%), respectively. Compared to those of class 3, class 1 participants were more likely to have MSP and UAI within the past 3 months, to be ≥40 years of age (odds ratio [OR] 2.197, 95% CI 1.357-3.558; P=.001), to have HIV-positive results (OR 6.47, 95% CI 2.272-18.482; P