Adapting Effective mHealth Interventions to Improve Uptake and Adherence to HIV Pre-Exposure Prophylaxis Among Thai Young Men Who Have Sex With Men: Protocol for a Randomized Controlled Trial
Notice bibliographique
Résumé
BACKGROUND: Young men who have sex with men (YMSM) are the fastest-growing HIV-positive population worldwide. Thailand has the highest adult HIV seroprevalence in Asia; over 25% of men having sex with men in Bangkok are HIV positive. Pre-exposure prophylaxis (PrEP) is an efficacious HIV prevention strategy recommended for all at-risk individuals. PrEP is highly effective when taken as prescribed, but PrEP utilization rate has been low, and adherence is often inadequate. OBJECTIVE: We propose to develop and pilot a multicomponent, technology-based intervention to promote motivation to begin PrEP ("uptake") and sustained adherence to PrEP among HIV-negative Thai YMSM. We will adapt an existing 2-session technology-delivered, motivational interviewing-based intervention to focus on PrEP use in YMSM in Thailand. The resulting intervention is called the Motivational Enhancement System for PrEP Uptake and Adherence (MES-PrEP). We will also develop motivational text messaging (MTM) to send two-way motivational messages to promote PrEP use. METHODS: The proposed study includes 3 phases. Phase 1 includes in-depth interviews with HIV-negative Thai YMSM and providers to explore barriers and facilitators of PrEP initiation and adherence, aiming to inform intervention content. Phase 2 consists of adapting and beta-testing MES-PrEP and MTM for functionality and feasibility using a youth advisory board of Thai YMSM. In Phase 3, we will conduct a pilot randomized controlled trial to evaluate the feasibility, acceptability, and preliminary efficacy of MES-PrEP and MTM to increase PrEP uptake and adherence among Thai YMSM. A total of 60 HIV-negative Thai YMSM who have not started PrEP and 60 YMSM who are on PrEP but not adherent to it will be randomized 2:1 to receive MES-PrEP and MTM (n=40) or standard PrEP counseling (n=20). The feasibility and acceptability of the intervention will be assessed through usage patterns and the System Usability Scale. The preliminary impact will be assessed by evaluating the proportion of PrEP initiation and level of adherence to PrEP. Participants will complete the assessments at baseline and at 1-, 3-, and 6-month postintervention. Biomarkers of adherence to PrEP and biomarkers of HIV and sexually transmitted infections will be collected. RESULTS: Recruitment for this study began in January 2022 for phase 1. Qualitative interviews were completed with 30 YMSM and 5 clinical providers in May 2022. Phase 3, the pilot feasibility and acceptability trial, began in July 2023. Upon project completion, we shall have developed a highly innovative mobile health intervention to support YMSM using PrEP, which will be ready for testing in a larger efficacy trial. CONCLUSIONS: This study addresses a critical problem (ie, high HIV incidence and low PrEP use) among Thai YMSM. We are developing 2 potentially synergistic technology-based, theory-driven interventions aimed at maximizing PrEP use. The proposed project has the potential to make significant contributions to advancing HIV prevention research and implementation science. TRIAL REGISTRATION: ClinicalTrials.gov NCT05243030; https://clinicaltrials.gov/ct2/show/NCT05243030. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/46435.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,039 | 0,030 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,004 |
| Méta-épidémiologie (sens large) | 0,013 | 0,007 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,005 | 0,004 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,008 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,085 | 0,011 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».