PrEP-related stigma and PrEP use among gay, bisexual and other men who have sex with men in Ontario and British Columbia, Canada
Bibliographic record
Abstract
BACKGROUND: We aimed to explore the association between PrEP-related stereotypes and perceived disapproval (hereafter PrEP-related stigma), and PrEP use. METHODS: We used data from a cross-sectional online survey among adult gay, bisexual, other men who have sex with men in Ontario and British Columbia, Canada. Participants were recruited 2019-2020 in-person from sexual health clinics and outreach programs, and online through dating mobile applications and websites. We used logistic regression models to explore the relationship between PrEP-related stigma and: 1-being a 'never' versus 'current' PrEP user, and 2-being a 'former' versus 'current' user. RESULTS: The median age of the sample was 32 (Q1-Q3 = 27-40), most were white born in Canada (48%), 45% had never used PrEP, 16% were former PrEP users and 39% were current PrEP users. Of 1527 individuals who started the survey, 1190 participants answered questions about PrEP-related stigma: 254 (21.3%) were classified as having low level of PrEP-related stigma, 776 (65.2%) intermediate, and 160 (13.5%) high. No significant association was found when never PrEP users and current PrEP users were compared: adjusted OR = 1.44 (95%-CI: 0.8-2.5). High PrEP-related stigma was positively associated with being a former PrEP user compared to being a current PrEP user: adjusted OR = 2.5 (95%-CI: 1.3-4.9). CONCLUSION: PrEP-related stigma is associated with not using PrEP, particularly with PrEP discontinuation. Our findings indicate that stigma persists as a barrier to PrEP use.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".