Multilevel Factors Impacting PrEP Engagement Among Young Gay Men and Young Transgender Women in Thailand: A Qualitative Analysis
Bibliographic record
Abstract
Half of new HIV infections in Thailand are among young people, the majority of whom are young gay and other men who have sex with men (YMSM) and young transgender women (YTGW). Amid low pre-exposure prophylaxis (PrEP) coverage, we explored practice-based factors that impact PrEP engagement among YMSM and YTGW. In 2018, we conducted 4 focus group discussions with 20 YMSM and 5 YTGW, and 22 in-depth interviews (5 in 2022) with healthcare providers (HCPs), community-based organization (CBO)/nongovernmental organization (NGO) staff, and peer educators. The inclusion of PrEP in universal healthcare coverage, including YMSM and YTGW, is a substantial facilitator of PrEP use; however, systemic barriers at microsocial (lack of communication about PrEP from HCPs, teachers, parents), mesosocial (healthcare-service fragmentation, lack of PrEP-competent HCPs), and macrosocial levels (annual quotas on free HIV-testing, HIV- and sexual-stigma) constrain and disincentivize adolescents' engagement with PrEP. National scale-up of youth-friendly and LGBT-affirmative CBO/NGO clinics, HCP training, and tailored programs to support adolescents' adherence may promote PrEP engagement among YMSM and YTGW in Thailand.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".