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Record W2911291083 · doi:10.2196/11184

Clinic-Based Delivery of the Young Men’s Health Project (YMHP) Targeting HIV Risk Reduction and Substance Use Among Young Men Who Have Sex with Men: Protocol for a Type 2, Hybrid Implementation-Effectiveness Trial

2019· article· en· W2911291083 on OpenAlexvenueno aff
Jeffrey T. Parsons, Tyrel J. Starks, Sitaji Gurung, Demetria Cain, Jonathan Marmo, Sylvie Naar

Bibliographic record

VenueJMIR Research Protocols · 2019
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentCenters for Disease Control and Prevention
KeywordsMen who have sex with menMedicinePsychological interventionIntervention (counseling)Pre-exposure prophylaxisFamily medicineRandomized controlled trialProtocol (science)Human immunodeficiency virus (HIV)Alternative medicinePsychiatrySyphilis

Abstract

fetched live from OpenAlex

BACKGROUND: Young men who have sex with men (YMSM) are disproportionately at risk for HIV and sexually transmitted infections. Adapting and testing the effectiveness of the Young Men's Health Project (YMHP), an efficacious intervention designed to reduce substance use and condomless anal sex (CAS) among YMSM, at clinics in Miami, Detroit, and Philadelphia has the potential to reduce HIV and STI disparities among urban YMSM. OBJECTIVE: This study (Adolescent Medicine Trials Network for HIV/AIDS Interventions [ATN] 145 YMHP) aims to adapt YMHP for clinic and remote delivery by existing clinic staff and compare their effectiveness in real-world adolescent HIV clinics. This protocol is part of the ATN Scale It Up program described in a recently published article by Naar et al. METHODS: This is a comparative effectiveness hybrid type-2 trial of the YMHP intervention with 2 delivery formats-clinic-based versus remote delivery-offered following HIV counseling and testing. Phase 1 includes conducting focus groups with youth to obtain implementation feedback about the delivery of the YMHP intervention and intervention components to ensure culturally competent, feasible, and scalable implementation. Phase 2 includes recruitment and enrollment of 270 YMSM, aged 15 to 24 years, 90 at each of the 3 sites. Enrollment will be limited to HIV-negative YMSM who report recent substance use and either CAS or a positive STI test result. Participants will be randomized to receive the YMHP intervention either in person or by remote delivery. Both conditions involve completion of the 4 YMHP sessions and the delivery of pre-exposure prophylaxis information and navigation services. A minimum of 2 community health workers (CHWs) will be trained to deliver the intervention sessions at each site. Sessions will be audio-recorded for Motivational Interviewing Treatment Integrity (MITI) fidelity coding, and CHWs and supervisors will be given implementation support throughout the study period. RESULTS: Phase 1 focus groups were completed in July 2017 (n=25). Feedback from these focus groups at the 3 sites informed adaptations to the YMHP intervention manual, implementation of the intervention, and recruitment plans for phase 2. Baseline enrollment for phase 2 began in November 2018, and assessments will be at immediate posttest (IP)-, 3-, 6-, 9-, and 12-months after the intervention. Upon collection of both baseline and follow-up data, we will compare the effectiveness and cost-effectiveness of clinic-based versus remote delivery of YMHP in the context of health care access. CONCLUSIONS: We are conducting YMHP in 3 cities with high rates of YMSM at risk for HIV and STIs. When adapted for real-world clinics, this study will help substance-using YMSM at risk for HIV and STIs and allow us to examine differences in effectiveness and cost by the method of delivery. TRIAL REGISTRATION: ClinicalTrials.gov NCT03488914; https://clinicaltrials.gov/ct2/show/NCT03488914 (Archived by WebCite at http://www.webcitation.org/770WaWWfi). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/11184.

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)0.007
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: Observational · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.378
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.164
GPT teacher head0.543
Teacher spread0.379 · 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 designObservational
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

Citations17
Published2019
Admission routes1
Has abstractyes

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