Feasibility and Preliminary Effectiveness of a Peer-Developed and Virtually Delivered Community Mental Health Training Program (Emotional CPR): Pre-Post Study
Notice bibliographique
Résumé
BACKGROUND: The COVID-19 pandemic has led to a global mental health crisis, highlighting the need for a focus on community-wide mental health. Emotional CPR (eCPR) is a program and practice developed by persons with a lived experience of recovery from trauma or mental health challenges to train community members from diverse backgrounds to support others through mental health crises. eCPR trainers have found that eCPR may promote feelings of belonging by increasing supportive behaviors toward individuals with mental health problems. Thus, clinical outcomes related to positive and negative affect would improve along with feelings of loneliness. OBJECTIVE: This study examined the feasibility and preliminary effectiveness of eCPR. METHODS: We employed a pre-post design with 151 individuals, including peer support specialists, service users, clinicians, family members, and nonprofit leaders, who participated in virtual eCPR trainings between April 20, 2020, and July 31, 2020. Instruments were administered before and after training and included the Herth Hope Scale; Empowerment Scale; Flourishing Scale (perceived capacity to support individuals); Mindful Attention Awareness Scale; Active-Empathic Listening Scale (supportive behaviors toward individuals with mental health challenges); Social Connectedness Scale (feelings of belonging and connection with others); Positive and Negative Affect Schedule; and University of California, Los Angeles 3-item Loneliness Scale (symptoms and emotions). The eCPR fidelity scale was used to determine the feasibility of delivering eCPR with fidelity. We conducted 2-tailed paired t tests to examine posttraining improvements related to each scale. Additionally, data were stratified to identify pre-post differences by role. RESULTS: Findings indicate that it is feasible for people with a lived experience of a mental health condition to develop a program and train people to deliver eCPR with fidelity. Statistically significant pre-post changes were found related to one's ability to identify emotions, support others in distress, communicate nonverbally, share emotions, and take care of oneself, as well as to one's feelings of social connectedness, self-perceived flourishing, and positive affect (P≤.05). Findings indicated promising evidence of pre-post improvements (not statistically significant) related to loneliness, empowerment, active-empathetic listening, mindfulness awareness, and hope. Nonprofit leaders and workers demonstrated the greatest improvements related to loneliness, social connectedness, empathic listening, and flourishing. Peer support specialists demonstrated the greatest improvements related to positive affect, and clinicians demonstrated the greatest improvements related to mindfulness awareness. CONCLUSIONS: Promising evidence indicates that eCPR, a peer-developed and peer-delivered program, may increase feelings of belonging while increasing supportive behaviors toward individuals with mental health problems and improving clinical outcomes related to positive and negative affect and feelings of loneliness.
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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 | 0,008 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 ».