Prevalence and structural correlates of HIV and STI testing among a community-based cohort of women sex workers in Vancouver Canada
Bibliographic record
Abstract
BACKGROUND: In light of the stark inequities in HIV and sexually transmitted infections (STIs) experienced by women sex workers, empirical evidence is needed to inform accessible and sex worker-friendly models of voluntary, confidential and non-coercive HIV and STI testing. We evaluated the prevalence and structural correlates of HIV/STI testing in the last 6 months in a large, community-based cohort of women sex workers in Vancouver, Canada. METHODS: Data were drawn from an open community-based open cohort of women sex workers (January 2010-August 2021) working across diverse street, indoor, and online environments in Vancouver, Canada. Using questionnaire data collected by experiential (sex workers) and community-based staff, we measured prevalence and used bivariate and multivariable logistic regression to model correlates of recent HIV/STI testing at enrollment. RESULTS: Of 897 participants, 37.2% (n = 334) identified as Indigenous, 31.4% as Women of Color/Black (n = 282), and 31.3% (n = 281) as White. At enrollment, 45.5% (n = 408) reported HIV testing, 44.9% (n = 403) reported STI testing, 32.6% (n = 292) reported receiving both HIV and STI testing, and 57.9% (n = 519) had received an HIV and/or STI test in the last 6 months. In adjusted multivariable analysis, women accessing sex worker-led/specific services had higher odds of recent HIV/STI testing, (Adjusted Odds Ratio (AOR): 1.91, 95% Confidence Interval (CI): 1.33-2.75), whereas Women of Color and Black women (AOR: 0.52, 95%CI: 0.28-0.98) faced significantly lower odds of recent HIV/STI testing. CONCLUSIONS: Scaling-up community-based, sex worker-led and tailored services is recommended to enhance voluntary, confidential, and safe access to integrated HIV/STI testing, particularly for Women of Color and Black Women. Culturally safe, multilingual HIV/STI testing services and broader efforts to address systemic racism within and beyond the health system are needed to reduce inequities and promote safe engagement in services for racialized sex workers.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".