Sexual pleasure and HIV-related worry in female sex workers on oral pre-exposure prophylaxis in south-western Uganda
Bibliographic record
Abstract
BACKGROUND: Female sex workers (FSWs) contribute disproportionately to HIV transmission in Uganda, and pre-exposure prophylaxis (PrEP) is effective in preventing HIV among cisgender women. Psychological factors are important for PrEP uptake, but few studies have examined psychosocial changes due to PrEP use in Uganda. METHODS: In 2021, we recruited 524 FSWs in three Trans-African Highway towns and four fishing communities in south-western Uganda. We conducted structured interviews among women who were attending routine PrEP follow-up visits in six health units. Bivariable and multivariable modified regression using a robust covariance matrix estimator were used to identify factors associated with experiencing increased sexual pleasure and less worry about HIV because of PrEP. RESULTS: Overall, 80.9% participants reported that sex was more pleasurable because of taking PrEP. There were statistical trends for sex being more pleasurable when taking PrEP or when having condomless sex with casual paying partners (aPR=1.19, 95% CI=1.07-1.32, P =0.001). Almost three-quarters of the participants (76.3%) were less worried about getting HIV because of PrEP. Condomless sex with casual paying partners (aPR=1.17, 95% CI=1.05-1.31, P =0.032, P =0.003) and being On PrEP for the past 1-2years (aPR=1.18, 95% CI=1.00-1.38, P =0.032) was significantly associated with HIV-related worry (aPR=1.17, 95% CI=1.05-1.31, P =0.032, P =0.003) Conclusions : We found a positive impact of PrEP in Ugandan FSWs on two key psychosocial dimensions: (1) more pleasurable sex; and (2) less worry about acquiring HIV. Interventions aiming to increase PrEP uptake may find it useful to focus on psychosocial dimensions.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".