Community-based, nurse-led post-exposure prophylaxis: results and implications
Bibliographic record
Abstract
HIV medications can be used as post-exposure prophylaxis to efficaciously prevent an HIV-negative person who has come into contact with HIV from becoming HIV-positive. Traditionally, these medications have been available in emergency departments, which have constituted a barrier for the members of many minority groups who are greatly affected by HIV transmission (i.e. gay, bisexual and other men who have sex with men, and persons who use injection drugs). From 5 September 2013 through 4 September 2015, we sought to increase the use of HIV post-exposure prophylaxis by having registered nurses provide these medications, when indicated, in community clinics in Ottawa, Canada. We undertook a chart review of patients who accessed services for HIV post-exposure prophylaxis in this period. Over the two years of data collection, 112 persons requested HIV post-exposure prophylaxis and 64% (n = 72) initiated these medications. Most (93%, or n = 67, of the 72 initiations) were among men, with 88% (n = 59) of these men reporting same sex sexual partners. Among these 58 men, 31% (n = 18) had sexual contact with other men known to be HIV-positive. Among women (n = 8), five initiated post-exposure prophylaxis: three after needle-sharing contact or sexual contact with a male partner who reportedly shared needles, and two after unprotected vaginal sex with a male partner known to be HIV-positive. Overall, no one was diagnosed with HIV at the four-month HIV testing follow-up, although six persons were diagnosed with HIV from the baseline HIV testing, and an additional four were diagnosed with HIV during routine HIV testing one year after completing post-exposure prophylaxis. In total, nine persons in our sample were thus diagnosed with HIV during the study period, which accounted for 9.4% (n = 10 of 106) of all reported HIV diagnoses in Ottawa during this time. We conclude that nurse-initiated HIV post-exposure prophylaxis can be an effective way to provide HIV prevention services to persons who are at high-risk for HIV.
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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 | 0.009 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".