Abstract

IntroductionLow uptake of HIV testing and services, including pre‐exposure prophylaxis (PrEP), in Thai men who have sex with men (MSM) and transgender women (TGW) may be due to the inaccuracy in self‐risk assessment. This study investigated the discordance between self‐perceived HIV risk and actual risk.MethodsData were obtained between May 2015 and October 2016 from MSM and TGW enrolled in key population‐led Test and Treat study in six community health centres in Thailand. Eligible participants were at least 18 years old, Thai national, had sex with men, had unprotected sex with a man in the past six months or had at least three male sex partners in the past six months, and were not known to be HIV positive. Baseline demographic behavioural characteristics questionnaires, including self‐perceived HIV risk, were self‐administered. Participants received HIV/STI (syphilis/gonorrhoea/chlamydia) testing at baseline. Participants who self‐perceived to have low risk, but engaged in HIV‐susceptible practices were categorized as having risk discordance (RD). Regression was conducted to assess factors associated with RD among MSM and TGW separately.ResultsOf the 882 MSM and 406 TGW participants who perceived themselves as having low HIV risk, over 80% reported at least one of the following: tested HIV positive, engaged in condomless sex, tested positive for a sexually transmitted infection sexually transmitted infection (STI; or used amphetamine‐type stimulants. Logistic regression found that living with a male partner (p = 0.005), having never tested for HIV (p = 0.045), and living in Bangkok (p = 0.01) and Chiang Mai (p < 0.001) were associated with increased risk discordance among MSM. Living with a male partner (p = 0.002), being less than 17 years old at sexual debut (p = 0.001), and having a low knowledge score about HIV transmission (p < 0.001) were associated with increased risk discordance among TGW. However, for TGW, being a sex worker decreased the chance of risk discordance (p = 0.034).ConclusionsFuture HIV prevention messages need to fill in the gap between self‐perceived risk and actual risk in order to help HIV‐vulnerable populations understand their risk better and proactively seek HIV prevention services.

Highlights

  • Low uptake of HIV testing and services, including pre-exposure prophylaxis (PrEP), in Thai men who have sex with men (MSM) and transgender women (TGW) may be due to the inaccuracy in self-risk assessment

  • This paper focuses on the 1288 participants who were categorized as having low self-perceived HIV risk

  • Of the 882 MSM who were categorized as having low selfperceived risk of getting HIV, 718 (81.4%) reported to have at least one of our predetermined, actual HIV-risk characteristics: 15.9% tested HIV positive, 87.1% engaged in condomless sex, 37% tested positive for STIs, and 6.8% had used amphetamine-type stimulants (ATS)

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Summary

Introduction

Low uptake of HIV testing and services, including pre-exposure prophylaxis (PrEP), in Thai men who have sex with men (MSM) and transgender women (TGW) may be due to the inaccuracy in self-risk assessment. Living with a male partner (p = 0.002), being less than 17 years old at sexual debut (p = 0.001), and having a low knowledge score about HIV transmission (p < 0.001) were associated with increased risk discordance among TGW. When stratified to reflect only key populations (KPs), only 42.9% and 41.6% of MSM and TGW respectively were aware of their HIV positive status [1] These figures reflect the discrepancy in progress between the general population and KPs, especially for the first 90 target, which may suggest a low uptake of HIV testing among these individuals. The low HIV testing uptake among MSM and TGW may stem from several problems: Thai population has a stigmatizing attitude towards people living with HIV [4], which may generate fear of HIV stigma and being labelled as HIV positive, thereby preventing people from seeking out their HIV status [5,6,7]; systematic discrimination and stigma based on gender and sexual orientation, for instance in healthcare

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