HIV Postexposure Prophylaxis Use Among Ontario Female Adolescent Sexual Assault Victims: A Prospective Analysis
Bibliographic record
Abstract
BACKGROUND: This study examined the use of HIV postexposure prophylaxis (PEP) among sexually assaulted adolescent females. METHODS: We analyzed data from the HIV PEP Project, an implementation and evaluation of a program of universal offering of PEP to sexual assault victims of all ages. Baseline and follow-up data were collected prospectively from consecutive clients seen at 18 hospital-based sexual assault treatment centers in Ontario, Canada from September 2003 to January 2005. Among 386 at-risk female adolescents, we examined the provision and uptake of and adherence to PEP, and factors related to antiretroviral acceptance and completion. RESULTS: Most adolescents were single (94.5%), living with family (68.0%), and attending school (67.4%). Slightly over two-fifths (42.7%) accepted and one-third (33.6%) completed the 28-day course of PEP. Factors associated with PEP acceptance were health care provider encouragement, being a student, and being moderately-to-highly anxious. PEP completion was associated with being white and an assailant known less than 24 hours. CONCLUSIONS: Our findings highlight the importance of the health care provider's role in counseling sexually assaulted female adolescents about HIV PEP use. The results also suggest that at-risk adolescents not enrolled in school and those from culturally diverse backgrounds may require additional supports.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".