A Peer-Based Intervention to Increase HIV and Sexually Transmitted Infection Testing Among Latinx Immigrant Sexual Minority Men in the US Pacific Northwest: Pilot Randomized Controlled Trial Conducted During the COVID-19 Pandemic
Bibliographic record
Abstract
BACKGROUND: Hispanic and Latinx gay, bisexual, and other sexual minority men (SMM) are disproportionately affected by HIV in the United States. With the availability of self-testing services, HIV and sexually transmitted infection (STI) testing may be more accessible for Latinx immigrant SMM who face obstacles to obtaining HIV-related services. Combining the potential of self-testing kits and the influence of peer educators may present an opportunity to increase HIV and STI testing and preexposure prophylaxis (PrEP) uptake or linkage to HIV care among Latinx immigrant SMM. OBJECTIVE: This study aimed to develop and pilot a peer intervention to distribute HIV and STI self-testing kits and provide peer counseling based on the information-motivation-behavioral skills model to increase PrEP uptake and HIV and STI testing among Latinx immigrant SMM. Our evaluation focused on determining the differences in HIV testing, STI testing, and PrEP uptake outcomes between the intervention and control groups. METHODS: We conducted semistructured interviews with community stakeholders to elicit factors to consider for training and intervention. The interview findings informed the development of the intervention and peer training protocols. We piloted the intervention with Latinx immigrant SMM and randomly assigned participants to the intervention group, who received peer counseling and HIV and STI self-testing kits, or the control group, who only received peer counseling. We administered baseline, 1-week, 6-week, and 12-week follow-up surveys to assess behaviors related to HIV testing, STI testing, and PrEP uptake. Owing to the COVID-19 pandemic, the intervention components were delivered via web-based modalities. Chi-square tests were performed to examine the associations between HIV testing, STI testing, and PrEP motivation and behaviors across the study arms (intervention vs control). We conducted Cramer V test to determine the strength of the association between study arm and each of the outcome variables. We also assessed the impact of the COVID-19 pandemic on participants. RESULTS: Overall, 50 (intervention, n=30 and control, n=20) Latinx immigrant SMM participated in the program. Participants reported life disruptions owing to COVID-19, with 68% (34/50) reporting job loss after the declaration of the pandemic. After intervention participation, a higher proportion of participants in the intervention group reported having been tested for STIs (76% vs 36.8%; P=.01; Cramer V=0.394). Among the participants in the intervention group, 91% (21/23) reported being motivated to use PrEP compared with 59% (10/17) in the control group (P=.02; Cramer V=0.385). CONCLUSIONS: By facilitating access to HIV and STI testing through peer-delivered information, motivational support, and behavioral skills training as well as the provision of self-testing kits, our intervention demonstrated the potential to increase HIV prevention behaviors in Latinx immigrant SMM. Peer-based programs that offer self-testing and internet-based modes of accessing information may be a feasible strategy for reaching Latinx immigrant SMM. TRIAL REGISTRATION: ClinicalTrials.gov NCT03922126; https://clinicaltrials.gov/ct2/show/NCT03922126.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".