A Peer-Led Digital Intervention to Reduce HIV Prevention and Care Disparities Among Young Brazilian Transgender Women (The BeT Study): Protocol for an Intervention Study
Bibliographic record
Abstract
BACKGROUND: The HIV epidemic continues to disproportionately burden marginalized populations despite the availability of effective preventive and therapeutic interventions. Transgender women are severely affected by HIV worldwide including in Brazil and other low- and middle-income countries, with evidence of increasing new infections among young people. There is an urgent need for youth-specific HIV prevention and care interventions for young transgender women in Brazil. OBJECTIVE: This study aims to (1) address stigma in the Brazilian public health system and (2) reduce barriers to HIV care and prevention with systems navigation among young transgender women aged 18-24 years in Rio de Janeiro, Brazil. METHODS: The Brilhar e Transcender (BeT) study is a status-neutral, peer-led, single-arm digital intervention study enrolling 150 young transgender women in Rio de Janeiro, Brazil. The intervention was pilot tested and refined using data from a formative phase. The BeT intervention takes place over 3 months, is delivered remotely via mobile phone and in person by peers, and comprises three components: (1) BeT sessions, (2) digital interactions, and (3) automated messages. Eligibility criteria include identifying as transgender women, being aged 18-24 years, speaking in Portuguese, and living in the Rio de Janeiro metropolitan area in Brazil. The primary outcomes are HIV incidence, pre-exposure prophylaxis uptake, linkage to HIV care, and viral suppression. Primary outcomes were assessed at baseline and quarterly for 12 months. Participants respond to interviewer-based surveys and receive tests for HIV and sexually transmitted infections. RESULTS: The study has been approved by the Brazilian and the US local institutional review boards in accordance with all applicable regulations. Study recruitment began in February 2022 and was completed in early July 2022. Plans are to complete the follow-up assessment of study participants on July 2023, analyze the study data, and disseminate intervention results by December 2023. CONCLUSIONS: Interventions to engage a new generation of transgender women in HIV prevention and care are needed to curb the epidemic. The BeT study will evaluate a digital peer-led intervention for young transgender women in Brazil, which builds on ways young people engage in systems and uses peer-led support to empower transgender youth in self-care and health promotion. A promising evaluation of the BeT intervention may lead to the availability of this rapidly scalable status-neutral HIV intervention that can be translated throughout Brazil and other low- and middle-income countries for young transgender women at high risk of or living with HIV. TRIAL REGISTRATION: ClinicalTrials.gov NCT05299645; https://clinicaltrials.gov/ct2/show/NCT05299645. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44157.
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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 | 0.016 | 0.015 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.063 | 0.008 |
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".