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Record W4206667560 · doi:10.2196/34885

A Technology-Based Intervention Among Young Men Who Have Sex With Men and Nonbinary People (The Conectad@s Project): Protocol for A Vanguard Mixed Methods Study

2022· article· en· W4206667560 on OpenAlexvenueno aff
Thiago S. Torres, Emília M. Jalil, Lara E. Coelho, Daniel R. B. Bezerra, Cristina Moreira Jalil, Brenda Hoagland, Sandra Wagner Cardoso, Sean Arayasirikul, Valdiléa G. Veloso, Erin C. Wilson, Willi McFarland, Beatriz Grinsztejn

Bibliographic record

VenueJMIR Research Protocols · 2022
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious Diseases
KeywordsMen who have sex with menPre-exposure prophylaxisPsychological interventionHuman immunodeficiency virus (HIV)MedicineAnal sexIntervention (counseling)Incidence (geometry)GerontologyFamily medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: In many parts of the world, including Brazil, uptake for biomedical interventions has been insufficient to reverse the HIV epidemic among key populations at high risk for HIV, including men who have sex with men. Young MSM (YMSM), particularly Black YMSM, have high HIV incidence, low viral suppression, and low preexposure prophylaxis (PrEP) uptake and adherence. Therefore, novel approaches to increase the HIV biomedical interventions uptake by YMSM are urgently needed. OBJECTIVE: We describe the Conectad@s Project, which aims to: (1) estimate the prevalence and incidence of HIV and other sexually transmitted infections, the onset of sexual risk behavior, and barriers to biomedical interventions among YMSM aged 18 to 24 years in Rio de Janeiro, Brazil; and (2) conduct a technology-based adherence intervention study to promote a rapid linkage of YMSM to HIV care or prevention, and support and sustain adherence. METHODS: A cross-sectional survey will be conducted with 400 YMSM recruited using respondent-driven sampling (RDS) adapted for social media-based sampling, preceded by a formative phase. HIV and sexually transmitted infections testing will be conducted, including early HIV infection biomarker detection. Behavioral, partnership, network, and structural measures will be collected through structured questionnaires. All individuals recruited for the survey will have access to HIV risk assessment, antiretroviral therapy (ART), PrEP, prevention counseling, and a technology-based adherence intervention. Those who accept the adherence intervention will receive weekly text messages via a social networking app (WhatsApp) for 24 weeks, with follow-up data collected over 48 weeks. RESULTS: The Conectad@s project has been approved by our local institutional review board (#CAAE 26086719.0.0000.4262) in accordance with all applicable regulations. Questionnaires for the RDS survey and intervention were developed and tested in 2020, formative interviews were conducted in January and February 2021 to guide the development of the RDS, and enrollment is planned to begin in early 2022. CONCLUSIONS: The Conectad@s Project is a vanguard study that, for the first time, will apply digital RDS to sample and recruit YMSM in Brazil and rapidly connect them to ART, PrEP, or prevention counseling through a technology-based adherence intervention. RDS will allow us to estimate HIV prevalence among YMSM and measure HIV infection biomarkers in the context of the onset of risky behavior. The data will lay the groundwork to adapt and implement HIV prevention strategies, identify barriers to the earliest HIV infection diagnosis, immediate ART or PrEP initiation, and detect new clusters of HIV transmission. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/34885.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.042
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.078
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.026
Meta-epidemiology (narrow)0.0050.004
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0040.004
Science and technology studies0.0050.003
Scholarly communication0.0040.003
Open science0.0050.004
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0780.014

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.

Opus teacher head0.123
GPT teacher head0.564
Teacher spread0.441 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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".

Quick stats

Citations8
Published2022
Admission routes1
Has abstractyes

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