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Record W4285087937 · doi:10.2196/36655

Adapting a Motivational Interviewing Intervention to Improve HIV Prevention Among Young, Black, Sexual Minority Men in Alabama: Protocol for the Development of the Kings Digital Health Intervention

2022· article· en· W4285087937 on OpenAlexvenueno aff
Henna Budhwani, B. Matthew Kiszla, Angulique Y. Outlaw, Robert A. Oster, Michael J. Mugavero, Mallory O. Johnson, Lisa Hightow‐Weidman, Sylvie Naar, Janet M. Turan

Bibliographic record

VenueJMIR Research Protocols · 2022
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersNational Institute of Mental Health
KeywordsPsychological interventionThematic analysisMotivational interviewingMedicineQualitative researchOutreachFocus groupIntervention (counseling)PsychologyGerontologyFamily medicineNursingSociologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: African American or Black young men who have sex with men (BYMSM) are at a disproportionate risk for contracting HIV and have high rates of undiagnosed, and therefore untreated, HIV infection. In the southern United States, BYMSM face region-specific hurdles to HIV prevention, such as limited access to care and high levels of racism and intersectional stigma, necessitating HIV testing and pre-exposure prophylaxis interventions that address sociocultural and structural barriers while motivating BYMSM to engage in prevention. Brothers Saving Brothers (BSB) is a motivational interviewing behavioral intervention that successfully and simultaneously increased community-based HIV testing and prevention counseling and education among BYMSM in the midwestern United States. OBJECTIVE: The aim of this protocol is to detail the process for the adaption of the BSB intervention for midwestern BYMSM to the Kings intervention for southern BYMSM. During the adaptation process, the intervention will be modernized to include rapid HIV testing, as opposed to HIV testing that requires BYMSM to return for test results, pre-exposure prophylaxis, and the provision of structural supports, and for relevance in the southern United States. METHODS: Aim 1 is to gather qualitative data through focus groups and in-depth interviews with BYMSM aged 18 to 29 years in Alabama and in-depth interviews with prevention and outreach workers who routinely work with BYMSM in Alabama. NVivo qualitative software (QSR International) will be used for the coding and analysis of the transcripts via a thematic analysis approach. For aim 2, intervention mapping will guide the adaptation process, intervention content, components, and design. Both aims 1 and 2 will leverage the Exploration, Preparation, Implementation, Sustainment implementation science framework, with emphasis on the exploration and preparation phases of this model. By applying these frameworks, the original midwestern BSB intervention will be scientifically adapted to the southern BYMSM Kings intervention. RESULTS: This study is ongoing as of 2022 and is expected to conclude in 2024, with aims 1 and 2 being completed in 2023. Qualitative data will offer insight into the current real-world experiences and preferences of BYMSM in Alabama. Feedback will be collected through the adaptation process to inform intervention refinement. Institutional review board approvals have been received. CONCLUSIONS: The findings will inform next steps, that is, testing the Kings intervention for feasibility, acceptability, and preliminary effectiveness in a pilot hybrid type 1 effective-implementation randomized controlled trial. The study results will provide insights about important considerations for HIV prevention among BYMSM in the southern United States. TRIAL REGISTRATION: ClinicalTrials.gov NCT03680729; https://clinicaltrials.gov/ct2/show/NCT03680729. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/36655.

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)0.019
metaresearch head score (Gemma)0.013
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 score0.044
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.013
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0060.002
Scholarly communication0.0020.002
Open science0.0040.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0440.005

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 head0.193
GPT teacher head0.527
Teacher spread0.334 · 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

Citations9
Published2022
Admission routes1
Has abstractyes

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