Retrospective audit of a convenience cohort of individuals on HIV pre-exposure prophylaxis in Alberta, Canada
Bibliographic record
Abstract
BACKGROUND: We undertook an audit of a province-wide HIV pre-exposure prophylaxis (PrEP) program in Alberta (Canada). METHODS: A retrospective record review of individuals accessing PrEP in Alberta included demographics, PrEP indication(s), and reported non-prescription drug and alcohol use from March 2016 to June 2019. Hepatitis A, B, C, HIV and syphilis serology, serum creatinine, and nucleic acid amplification tests testing for chlamydia and gonorrhea were collected. Descriptive statistics, incidence, and prevalence were calculated. RESULTS: A total of 511 participants were seen at STI, sexual, and reproductive health clinics and private family practitioner (FP) offices; 98.4% (503) were men, median age was 34 years (IQR 28-43 years), and 89.8% (459) were gay or bisexual men who have sex with men. Non-prescription drug use was reported by 39.3% (201) and alcohol use by 55.4% (283). 94.3% (482) reported condomless anal sex in the past 6 months. Testing rates were high (>95%) for all tests except for chlamydia and gonorrhea at the first follow-up visit 89.6%; (3-4 months). There was one HIV seroconversion. The incidence of new bacterial STIs was high: chlamydia 17 cases per 100 person-years (95% CI 13.5% to 21.4%), gonorrhea 11.14 cases per 100 person-years (95% CI 8.3% to 15.0%), and syphilis 1.94 cases per 100 person-years (95% CI 0.73% to 5.12%). CONCLUSIONS: Following implementation of a provincial program for PrEP in Alberta, PrEP initiation and continuation was feasible in a range of settings and by both specialists and FPs.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".