Examining patient characteristics and HIV-related risks among women with syphilis as indicators for pre-exposure prophylaxis in a nurse-led program (PrEP-RN)
Bibliographic record
Abstract
Current HIV pre-exposure prophylaxis (PrEP) guidelines primarily target men who have sex with men (MSM) as candidates for HIV prevention; however, such recommendations often come at the expense of other ethnic and gender minorities, including women. To address barriers to PrEP care among non-MSM, we developed and implemented the first nurse-led PrEP program in Canada, known as PrEP-RN. As part of PrEP-RN, patients who meet objective indicators of HIV risk are offered a referral for PrEP, regardless of sexual orientation. One such measure is syphilis, which has increased in incidence among various population groups and is known to cause biological vulnerabilities to HIV. To better understand HIV-related risks and assess intentions for PrEP use among women, we undertook an 18-month retrospective review of syphilis diagnoses within this group in Ottawa, Canada. As part of this review, we examined 23 patient files, noting their unique characteristics, socio-behavioural risk factors, and noted barriers to PrEP uptake. While none of the women diagnosed with syphilis were diagnosed with HIV, the findings raise some important considerations to facilitate opportunities for HIV prevention among non-MSM, which must take into consideration individual risk practices, sexual health histories, and population groups.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.000 | 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".