Predictors of interest in taking pre‐exposure prophylaxis among men who have sex with men who used a rapid <scp>HIV</scp>‐testing site in <scp>M</scp>ontreal (<scp>A</scp>ctuel sur <scp>R</scp>ue)
Bibliographic record
Abstract
OBJECTIVES: The effective use of pre-exposure prophylaxis (PrEP) as an HIV prevention strategy depends on its uptake by individuals at high risk of infection. Few Canadian data are available on interest in PrEP among men who have sex with men (MSM). This study aimed to identify predictors of interest in PrEP among MSM clients of a rapid HIV-testing site in Montreal's gay village (Actuel sur Rue). METHODS: Data were collected using a self-administered and a community agent-administered questionnaire. Among men reporting at least one male sexual partner and visiting the site between July 2012 and November 2013, we aimed to identify sociodemographic, sexual and temporal predictors of interest in taking effective PrEP with logistic regression analyses (univariate and multivariable). RESULTS: Over half (55%; n = 653) of the sample of 1179 MSM were interested in PrEP. Among the 14 variables considered in the univariate analyses, only (younger) age, (greater) number of sexual partners (in the past 3 months), being part of a serodiscordant couple (in the past 12 months), ever combining sex with drugs and temporal events were associated with interest in PrEP at P < 0.20 and were included in the multivariable analyses. In the multivariable model, only being part of a serodiscordant couple [adjusted odds ratio (aOR) 2.56; 95% confidence interval (CI) 1.44-4.58], having > 10 partners (aOR 1.73; 95% CI 1.17-2.55) and responding after the publication of Quebec's interim PrEP guidelines (aOR 1.82; 95% CI 1.22-2.71) proved significant. CONCLUSIONS: In this assessment of predictors of PrEP interest among Canadian MSM, partnering issues and the arrival of PrEP guidelines in Quebec (10 July 2013) were most closely linked to PrEP interest.
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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 | 0.005 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".