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Record W2737358090 · doi:10.2196/resprot.7965

Development of a Tailored HIV Prevention Intervention for Single Young Men Who Have Sex With Men Who Meet Partners Online: Protocol for the myDEx Project

2017· article· en· W2737358090 on OpenAlexvenueno aff
José A. Bauermeister, Ryan C. Tingler, Michele Demers, Gary W. Harper

Bibliographic record

VenueJMIR Research Protocols · 2017
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersNational Institute of Mental HealthCenters for Disease Control and Prevention
KeywordsMen who have sex with menHuman immunodeficiency virus (HIV)Protocol (science)Intervention (counseling)PsychologyMedicineFamily medicineAlternative medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: New cases of human immunodeficiency virus (HIV) among young men who have sex with men (YMSM), aged 18 to 24, underscore the importance of developmentally-informed HIV programs for YMSM. We developed an online intervention focused on risk reduction strategies across different sexual partner types. Intervention activities focus on assisting YMSM reflect on their partner-seeking behaviors, develop sexual decision-making rules to reduce their HIV risks, and consider the adoption of HIV prevention behaviors. OBJECTIVE: This pilot, randomized controlled trial (RCT) aims to examine the feasibility, acceptability, and preliminary efficacy of a tailored, Web-based HIV prevention intervention for single YMSM. METHODS: We designed a prospective RCT of online-recruited cis-gender men (N=180) who reported recent unprotected anal intercourse, self-report as HIV negative or are unaware of their HIV status, and meet sexual partners through online dating apps. Individuals in the control arm receive an attention-control condition that includes HIV/sexually transmitted infection (STI) information currently available on sex education websites. Individuals in the intervention arm receive a 6-session Web-based program tailored on their demographic information, partner-seeking behaviors and relationship desires, and prior sexual attitudes and behaviors. This tailored content will match HIV prevention messages and safer sex skills with YMSM's outcome expectancies when meeting new partners and thereby help them consider how to integrate safer sex practices into different partner types. Study assessments are taken at baseline, 30-, 60-, and 90-day follow-ups. Intervention acceptability and preliminary efficacy will be explored in sexual risk behaviors and HIV/STI testing. RESULTS: The RCT launched in November 2016 and is ongoing. To date, 180 eligible individuals have been enrolled, consented, and randomized. Of the 120 individuals in the intervention arm, 51.7% (62/120) identify as non-Hispanic white and half of the control arm identifies as non-Hispanic white. There were no differences observed by arm for race and/or ethnicity, age, or sexual orientation. CONCLUSIONS: Although there are in-person evidence-based interventions with proven efficacy for YMSM, few HIV/STI prevention interventions delivered online exist. Online interventions may ease access to comprehensive HIV/STI education among YMSM and allow personalized content to be delivered. The online intervention that we developed, myDEx, aims to alleviate the gaps within HIV prevention for YMSM by utilizing tailored, Web-based content with the goal of developing skills for same-sex dating and relationship building, while reducing their risks for HIV/STI. TRIAL REGISTRATION: ClinicalTrials.gov NCT02842060; https://clinicaltrials.gov/ct2/show/NCT02842060 (Archived by WebCite at http://www.webcitation.org/6rcJdxF9v).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.125
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.298
GPT teacher head0.583
Teacher spread0.284 · 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 teacher head, 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

Citations27
Published2017
Admission routes1
Has abstractyes

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