Evaluating a Social-Emotional Training Program for Refugee Families and Service Providers: Pilot Study
Notice bibliographique
Résumé
BACKGROUND: Refugee children are often exposed to adversities that present a threat to their healthy development. Promoting refugee children's social-emotional capacities may be an opportune, strengths-based avenue to nurture their resilience, coping strategies, and mental health outcomes amid these risks. Furthermore, supporting caregivers' and service providers' capacities to provide strengths-based care may result in more sustainable, caring environments for refugee children. However, culturally adapted initiatives that aim to promote social-emotional capacities and mental health in refugee children, caregivers, and service providers are limited. OBJECTIVE: In this pilot study, we aimed to assess the feasibility and efficacy of a brief, 3-week social-emotional training program for refugee caregivers of children aged between 2 and 12 years and service providers who support refugees. This study had 3 central objectives. First, we examined whether refugee caregivers' and service providers' knowledge of core social-emotional concepts increased from pre- to posttraining, whether these increases were maintained 2 months later, and whether caregivers and service providers reported a high use of training-based strategies after the training. Second, we assessed if refugee caregivers reported any improvements in their children's social-emotional capacities and mental health from pre- to posttraining and 2 months later. Finally, we evaluated whether caregivers and service providers experienced any improvements in their own mental health symptoms from pre- to posttraining and 2 months later. METHODS: A total of 50 Middle Eastern refugee caregivers of children (n=26) aged between 2 and 12 years and service providers (n=24) were recruited using convenience sampling and participated in a 3-week training program. Training sessions were delivered via a web-based learning management system and involved a combination of asynchronous (video-based) and synchronous (web-based live group) sessions. The training was evaluated using an uncontrolled pre-, post-, and 2-month follow-up design. Caregivers and service providers reported their understanding of social-emotional concepts and mental health at pre-, post-, and 2 months after training and reported their use of training strategies after training. Caregivers reported their children's social-emotional capacities and mental health through a presurvey, a series of postsurveys (after each module session and 1 week after the training), and a 2-month follow-up survey. The participants also reported their demographic information. RESULTS: Caregivers' and service providers' knowledge of social-emotional concepts increased significantly from pre- to posttraining, and the service providers' knowledge increase was sustained at the 2-month follow-up. Both caregivers and service providers reported high levels of strategy use. Furthermore, 2 markers of children's social-emotional development (ie, emotion regulation and sadness over wrongdoing) improved after training. CONCLUSIONS: The findings highlight the potential of strengths-based, culturally adapted social-emotional initiatives to support refugee caregivers' and service providers' abilities to provide high-quality social-emotional care to refugee children.
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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 | 0,004 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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 ».