The Communities Organizing for Power Through Empathy (COPE) Community-Based Intervention to Improve Adult Mental Health During Disasters and Crises: Protocol for a Stepped-Wedge Cluster Randomized Trial
Notice bibliographique
Résumé
BACKGROUND: Severe weather events, exacerbated by climate change, can lead to hardships such as displacement, resource scarcity, and social network disruptions. Such disasters impact mental health, triggering conditions such as anxiety, depression, and posttraumatic stress disorder. For communities in the Gulf South, the increasing frequency of disasters often further exacerbates already disastrous levels of inequality. In this context, there is an urgent need for evidence-based, multilevel, community-based interventions to support individual and community mental health and resilience. OBJECTIVE: This protocol describes the design of a community-based participatory research (CBPR) study to improve individual and community mental health in Gulf South communities by examining the implementation and effects of the multilevel, community-based intervention, Communities Organizing for Power through Empathy (COPE). Specifically, this study aims to (1) examine factors affecting the implementation, effectiveness, and adoption of the COPE intervention and (2) test its effects on mental health and community resilience. We hypothesize that participants in the COPE intervention will experience greater reductions in psychological distress (eg, perceived stress, anxiety, and depression); improvements in protective factors (eg, social support and coping self-efficacy); and community participation as compared with an attention control group. METHODS: The Consolidated Framework for Implementation Research guides our analysis of data collected from surveys, fidelity and field notes, interviews, and focus groups to examine aim 1. We examine aim 2 primarily via a 2-arm pragmatic stepped-wedge cluster randomized trial (SW-CRT) with individuals (approximately n=300) in clusters (faith-based and secular community-based organizations; approximately n=15) in a disaster-prone community in the US Gulf Coast. The cluster-based design implemented in steps supports the community-based nature of the study where timelines differ by organization. A total of 5 self-assessments will be conducted both in person and via email at later time points. We will integrate mixed methods in our analyses for aim 1 by combining themes from interviews and focus groups with implementation measures, and for aim 2 by constructing a data matrix to combine findings from the SW-CRT with thematic analyses of field notes and interviews. RESULTS: The SW-CRT is being conducted from June 2022 to June 2025. Recruitment began in April 2023, to conclude in spring 2025, to assess mental health, social support, and community resilience at 5 time points. Data analysis and dissemination of results are expected by spring of 2026. CONCLUSIONS: This protocol is among the first to use a CBPR approach to examine the implementation and effectiveness of a multilevel intervention on psychological distress and resilience. This study provides new insights into how CBPR can enhance intervention implementation research and expand the evidence on community-based mental health interventions during disasters. Policy makers should consider integrating CBPR approaches into disaster response frameworks to ensure culturally relevant and sustainable outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT06093737; https://clinicaltrials.gov/study/NCT06093737. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/63723.
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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 | 0,024 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,007 | 0,005 |
| Méta-épidémiologie (sens large) | 0,012 | 0,005 |
| Bibliométrie | 0,004 | 0,004 |
| Études des sciences et des technologies | 0,005 | 0,005 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,005 | 0,004 |
| Intégrité de la recherche | 0,008 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,081 | 0,012 |
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 ».