Multi-level correlates of oral pre-exposure prophylaxis discontinuation among English and Spanish-speaking transgender women of color in New York City: The TURNNT cohort study
Bibliographic record
Abstract
Background: Transgender women of color in the US are disproportionately vulnerable to HIV risks. Pre-Exposure Prophylaxis (PrEP) has demonstrated effectiveness in preventing HIV transmission among transgender women of color. However, factors across multiple levels can hinder oral PrEP adherence. Methods: We analyzed the baseline data from The Trying to Understand Neighborhoods and Networks Among Transgender Women of Color (TURNNT) Cohort Study of women not living with HIV. We analyzed questionnaire responses to identify why participants stopped using PrEP and if they would consider taking it again. To identify multi-level determinants that were associated with PrEP discontinuation, we conducted bivariate analysis and created multivariable modified Poisson models comparing factors between former users and current users. Results: Among 140 transgender women of color included in this analysis, 44.3% were currently on PrEP, 25.0% were on formerly on the regimen, and 30.7% had never used it. Participants reported many reasons for discontinuing PrEP, notably, 22.9% reported being concerned about interactions with hormones. 60.0% reported that they were likely to take PrEP again in the future. Discontinuation was positively associated with history of sexual assault (Prevalence Ratio: 1.78; 95% CI: 1.01, 3.14) and negatively with having a primary care provider (PR: 0.43; 95% CI: 0.25, 0.73). Conclusion: Many factors can influence PrEP discontinuation among transgender women of color. A majority of those who discontinued PrEP were interested in restarting it again, indicating a potential for reengagement. We recommend a holistic approach to HIV prevention to reduce PrEP discontinuation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".