Barriers and facilitators to hepatitis B vaccination among sex workers in Vancouver, Canada: Implications for integrated HIV, STI, and viral hepatitis services
Bibliographic record
Abstract
OBJECTIVES: Sex workers (SWs) face an increased burden of sexually transmitted and blood-borne infections, yet little is known regarding hepatitis B virus (HBV) prevention and care. This study was performed to characterize cross-sectional and prospective correlates of HBV vaccination among SWs in Vancouver. METHODS: Questionnaire data were drawn from a community-based cohort of SWs (2010-2017). Multivariable logistic regression was used to examine correlates of lifetime self-reported HBV vaccination. Multivariable generalized estimating equation (GEE) regression was used to assess correlates of recent vaccination. RESULTS: Among 855 participants, 68.3% reported lifetime HBV vaccination. Multivariable logistic regression showed that im/migrants (adjusted odds ratio (AOR) 0.50, 95% confidence interval (CI) 0.32-0.78) had lower odds of vaccination and that those using injection drugs (AOR 1.88, 95% CI 1.27- 2.78) and those who had undergone HIV testing (AOR 1.94, 95% CI 1.14-3.29) had higher odds of vaccination. In the multivariable GEE analysis, HIV seropositivity (AOR 1.93, 95% CI 1.26-2.97) and recent STI testing (AOR 2.95, 95% CI 1.99-4.39) correlated with recent HBV vaccination. CONCLUSIONS: Im/migrant SWs from HBV-endemic settings appear to face gaps in HBV prevention. Evidence-based interventions addressing gaps in voluntary HBV prevention and care are needed, including community-based and culturally safe services. Injection drug use and HIV testing were linked to enhanced vaccination, suggesting that harm reduction and HIV programmes may facilitate linkage to HBV prevention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".