A Peer Support Specialist–Delivered Sexual and Intimate Partner Violence Prevention Program for Women in Substance Use Treatment: Protocol for a Single-Arm Trial
Notice bibliographique
Résumé
BACKGROUND: Women in substance use treatment are disproportionately affected by violence. Both a history of violence and substance use place women at risk for cumulative exposure to violence and adverse outcomes, including mental and physical health problems. Interventions are urgently needed to reduce these health disparities by preventing initial and repeated exposure to sexual and intimate partner violence among women with substance use disorders (SUDs). The Healthy Relationships and Interpersonal Violence Education (THRIVE) program adapts evidence-based strategies for this population and is informed by the information, motivation, behavioral skills theoretical model. Topics include the intersection of substance use and violence, consent, risk detection, protective behavioral strategies, and help seeking. THRIVE uses a novel approach by delivering the program via peer support specialists (PSSs), trained advocates in recovery from SUDs who can help overcome barriers to care, including stigma and accessibility. OBJECTIVE: The first objective is to determine program acceptability and feasibility. The second objective is to determine the preliminary effectiveness of THRIVE, including its effect on violence-related knowledge and attitudes, protective behaviors, exposure to sexual and intimate partner violence, substance use, and mental health. METHODS: The study entailed a single-arm trial of THRIVE with 71 women in behavioral and medication-assisted substance use treatment, recruited from 3 outpatient and residential treatment sites. Interview data assessing intervention acceptability and feasibility were collected from participants and PSSs. Participants completed assessments at 4 time points over 3 months (baseline, after the intervention, and 1- and 3-month follow-ups). Self-report questionnaires assessed (1) violence prevention knowledge, attitudes, and behaviors; (2) exposure to sexual and intimate partner violence; and (3) substance use and mental health. To determine acceptability and feasibility, both quantitative and qualitative data were collected on feasibility (recruitment and retention), adherence, and acceptability (engagement, perceived usefulness, barriers and facilitators to participation and adoption, and working alliance with PSSs). RESULTS: Of the 92 women recruited and enrolled, 71 (77%) completed the intervention, 58 (63%) completed the 1-month follow-up, and 44 (48%) completed the 3-month follow-up between June 2024 and March 2025. The mean age of enrolled participants was 35 (SD 9.87) years, and the majority were White (n=79, 86%), followed by Black (n=4, 4%) and other racial and ethnic identities (n=7, 8%). CONCLUSIONS: THRIVE will address critical gaps in the field by (1) expanding violence prevention strategies to SUD treatment settings, (2) integrating sexual and intimate partner violence prevention, (3) incorporating a focus on illicit substance use, and (4) engaging PSSs to overcome barriers to care. The long-term objective of this project is to develop an accessible, scalable, and efficacious prevention program that reduces the incidence of exposure to sexual and intimate partner violence, substance use, and violence-related mental health disorders for women in substance use treatment. TRIAL REGISTRATION: ClinicalTrials.gov NCT06608979; https://clinicaltrials.gov/study/NCT06608979. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/68673.
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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 | 0,028 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,004 |
| Méta-épidémiologie (sens large) | 0,011 | 0,006 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,006 | 0,004 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,005 | 0,003 |
| Intégrité de la recherche | 0,008 | 0,011 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,073 | 0,015 |
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 ».