The PrEP cascade in a sample of HIV-negative or unknown status adolescent and young adult transgender women in Peru
Bibliographic record
Abstract
BACKGROUND: Transgender women are a key population in the HIV epidemic globally, including in Peru. This cross-sectional epidemiological study characterized the pre-exposure prophylaxis (PrEP) cascade in adolescent and young adult transgender women in Peru to inform roll-out of early HIV prevention efforts. METHODS: = 140) in Peru completed a socio-behavioral survey and biological testing for HIV and bacterial STIs. Logistic regression models estimated the association of sociodemographic, healthcare, and behavioral factors to PrEP indication and willingness. RESULTS: Median age was 22 years (range = 16-24 years); 65.7% reported sex work and 28.6% homelessness. Overall, 45.7% had a PrEP indication based on past 6 months HIV behavioral risk profiles. In a multivariable model, sex work (aRR = 2.27; 95% CI = 1.24-4.17) and homelessness (aRR = 1.27; 95% CI = 1.00-1.60) were associated with PrEP indication. More than one-third (38.6%) had never been HIV tested; 25.3% were tested >1 year ago. Only 34.3% heard of daily oral PrEP, 8.6% reported ever PrEP use, and 5.0% current PrEP use. Nearly half (49.3%) reported willingness to take daily oral PrEP. In a multivariable model, younger age was associated with increased willingness to use PrEP (aRR = 0.92; 95% CI = 0.87-0.98). Highest ranked PrEP preferences were a daily oral pill (35.7%), implant (32.1%), and injection by a provider (10.0%). CONCLUSIONS: PrEP indication and willingness were high in this sample, but HIV testing and PrEP uptake were low. Findings highlight opportunities for age-responsive and contextually-relevant interventions to increase HIV prevention among young transgender women in Peru.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".