Barriers and facilitators to pre-exposure prophylaxis (PrEP) uptake and adherence among men who have sex with men (MSM) in Thailand: a qualitative study
Bibliographic record
Abstract
Young MSM (YMSM), aged 15-24, account for nearly half of new HIV infections in Thailand. Pre-exposure prophylaxis (PrEP) is an effective prevention medicine for populations at substantial HIV risk, yet YMSM frequently have suboptimal uptake of and adherence to PrEP. We conducted 35 in-depth interviews with YMSM to explore barriers and facilitators of both PrEP initiation and adherence. Interviews also elicited the perceptions and experiences of healthcare providers (HCPs) working with YMSM at three clinics in Bangkok. Primary barriers to PrEP initiation were limited accessibility, insufficient knowledge, and efficacy concerns; HCPs identified no-to-low self-perception of HIV risk, pre-existing health problems, fears of side effects, and living in distant provinces as barriers to PrEP initiation. YMSM primarily reported PrEP information and self-perceptions of elevated HIV risk as facilitators to PrEP initiation. Additionally, forgetfulness and low HIV risk awareness were common barriers to PrEP adherence. Reminders were a prominent facilitator of PrEP adherence alongside disclosure to close relationships, the routinization of regimens, and convenient facilities. HCPs regarded counseling as the leading facilitator of PrEP adherence. By understanding the barriers/facilitators of PrEP use, the current study seeks to help develop evidence-informed PrEP intervention programs among YMSM while considering cultural sensitivity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".