Feasibility and Acceptability of a Motivational Interviewing–Based Telehealth Intervention for Bacterial Sexually Transmitted Infection Screening: Protocol for a Sequential Explanatory Mixed Methods Study
Notice bibliographique
Résumé
BACKGROUND: Gay, bisexual, and other men who have sex with men living with HIV (GBMSM-LWH) in the United States bear a heavy burden of bacterial sexually transmitted infections (STIs). Timely diagnosis and treatment are key to prevention. Only a few studies have combined home specimen self-collection for bacterial STI screening with live audio and video (AV) conferencing. None have focused on GBMSM-LWH or incorporated motivational interviewing (MI), a client-centered, strengths-based counseling approach that seeks to support individuals to create positive behavioral change. OBJECTIVE: Our study seeks to investigate the feasibility and acceptability of an MI-based telehealth intervention that integrates home specimen self-collection from different anatomical sites of possible exposure and MI delivered via live AV conferencing to engage sexually active GBMSM-LWH in bacterial STI screening. METHODS: Participants are being recruited from across the United States via advertising on mobile dating apps and social networking sites and via peer referral. Phase 1 involves piloting the delivery of an innovative telehealth intervention for bacterial STI screening to 75 GBMSM-LWH. Our intervention includes three components: (1) a pretest live AV conferencing session involving an MI-guided discussion to elicit awareness of bacterial STIs; fill any knowledge gaps; bolster the perceived importance of regularly testing for gonorrhea, chlamydia, and syphilis; and build self-efficacy for specimen self-collection; (2) home self-collection and return via mail of a urine sample (for gonorrhea and chlamydia testing), a throat swab (for gonorrhea and chlamydia testing), a rectal swab (for gonorrhea and chlamydia testing), and a finger-stick blood sample (for syphilis testing); and (3) a posttest live AV conferencing session involving an MI-guided discussion to prepare participants for receiving test results and formulate personalized action plans for seeking treatment (if warranted) and repeat testing. Descriptive statistics and progression ratios will be calculated, and potential variations in our intervention's feasibility and acceptability will be numerically summarized and graphically visualized. Phase 2 involves elucidating attitudes, facilitators, and barriers related to engaging in each intervention component via semistructured in-depth interviews with a purposive subsample of 20 participants who complete progressively smaller subsets of the pretest session, specimen return for bacterial STI testing, and the posttest session. Thematic analysis will be used to identify, analyze, and report patterns in the data. Quantitative and qualitative data will be integrated at the design, methods, interpretation, and reporting levels. RESULTS: Study procedures were approved by the Institutional Review Board at the University of Michigan in September 2023. Participant recruitment began in April 2024. CONCLUSIONS: Our study will advance multiple goals of the STI National Strategic Plan for the United States for 2021 to 2025, specifically those pertaining to preventing new STIs; accelerating progress in STI research, technology, and innovation; and reducing STI-related health disparities. TRIAL REGISTRATION: ClinicalTrials.gov NCT06100250; https://www.clinicaltrials.gov/study/NCT06100250. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/64433.
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 | 0,044 | 0,026 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,003 |
| Méta-épidémiologie (sens large) | 0,004 | 0,004 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,003 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,046 | 0,009 |
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 ».