Longitudinal uptake of the human papillomavirus vaccine among gay, bisexual and other men who have sex with men in British Columbia, Canada 2012–2019
Bibliographic record
Abstract
OBJECTIVES: In 2015, a publicly funded human papillomavirus (HPV) vaccination programme was implemented for gay, bisexual and other men who have sex with men (gbMSM) up to age 26 years in British Columbia, Canada. We assessed trends and correlates of HPV vaccine uptake from 2012 to 2019 in a cohort of gbMSM in Vancouver. METHODS: We recruited sexually active gbMSM aged ≥16 years using respondent-driven sampling from February 2012 to February 2015 and followed them until July 2019. We evaluated self-reported HPV vaccine trends using mixed-effects logistic regression and identified factors associated with uptake using multivariable mixed-effects Poisson regression. RESULTS: A total of 719 participants were recruited and completed the baseline visit, of whom 549 were unvaccinated with at least one follow-up visit. The median age was 33 years and 23% were living with HIV. HPV vaccination increased from 4% in 2012 to 28% in 2019 (p<0.001) among gbMSM >26 years, and from 9% in 2012 to 20% in 2017 (p<0.001) among gbMSM ≤26 years. Vaccination uptake increased after September 2015, following vaccination policy expansion (adjusted rate ratio (aRR)=1.82, 95% CI 1.06 to 3.12). In multivariable models, increased vaccination was associated with age ≤26 years vs ≥45 years (aRR=3.90; 95% CI 1.75 to 8.70), age 27-44 vs ≥45 years (aRR=2.86; 95% CI 1.46 to 5.62), involvement in gay community sports teams (aRR=2.31; 95% CI 1.15 to 4.64) and other groups (aRR=1.71; 95% CI 1.04 to 2.79), awareness of HIV-postexposure prophylaxis (aRR=5.50; 95% CI 1.31 to 23.09), recent sexually transmitted infection testing (aRR=2.72; 95% CI 1.60 to 4.60) and recent sex-work (aRR=2.59; 95% CI 1.08 to 6.19). CONCLUSIONS: Although we observed increases in HPV vaccination uptake from 2012, by 2019 HPV vaccination still remained below 30% among gbMSM in Vancouver, BC. Additional interventions are needed to increase vaccine uptake.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".