Exploring nurse‐led HIV Pre‐Exposure Prophylaxis in a community health care clinic
Bibliographic record
Abstract
OBJECTIVES: Gay, bisexual, and other men who have sex with men (gbMSM) are 131 times more likely to acquire HIV compared with other Canadian men. Pre-Exposure Prophylaxis (PrEP) for HIV has the potential to reduce or eliminate disparities in HIV acquisition among key affected populations. This paper aims to discuss the feasibility and utility of a nurse-led PrEP program administered by the Cool Aid Community Health Centre (CACHC) in Victoria, British Columbia as a public health PrEP program was initiated. DESIGN, SAMPLE AND MEASUREMENTS: A retrospective chart review of 124 gbMSM patients accessing PrEP at CACHC in 2018 collected information on patient demographics, STI testing results, and PrEP prescription pick-ups at 3 time points. RESULTS: Ninety-nine (79.8%) patients have continued on PrEP, as defined as having picked up their second 90-day PrEP prescription. Both older age and having an Sexually Transmitted Infection after PrEP enrolment were significantly associated with staying on PrEP; decreased risk perceptions contributed most to clinic-level discontinuance. Very few patients who stayed on PrEP have transitioned to their own General Practitioner. CONCLUSIONS: Patients appear to recognize their risk and are continuing on PrEP to reduce their risk of HIV. As evidenced by ability to recruit and maintain patients, we conclude that nurse-led PrEP at community health centres supports access and uptake of essential health services to optimize individual and population health.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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; 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".