Cultural Adaptation and User Satisfaction of an Internet-Delivered Cognitive Behavioral Program for Depression and Anxiety Among College Students in Two Latin American Countries: Focus Group Study With Potential Users and a Cross-Sectional Questionnaire Study With Actual Users
Notice bibliographique
Résumé
BACKGROUND: To scale up mental health care in low-resource settings, digital interventions must consider cultural fit. Despite the findings that culturally adapted digital interventions have greater effectiveness, there is a lack of empirical evidence of interventions that have been culturally adapted or their adaptation documented. OBJECTIVE: This study aimed to document the cultural adaptation of the SilverCloud Health Space from Depression and Anxiety program for university students in Colombia and Mexico and evaluate user satisfaction with the adapted program. METHODS: A mixed methods process was based on Cultural Sensitivity and Ecological Validity frameworks. In phase 1, the research team added culturally relevant content (eg, expressions, personal stories, photos) for the target population to the intervention. In phase 2, potential users (9 university students) first evaluated the vignettes and photos used throughout the program. We calculated median and modal responses. They then participated in focus groups to evaluate and assess the cultural appropriateness of the materials. Their comments were coded into the 8 dimensions of the Ecological Validity Framework. Phase 3 consisted of choosing the vignettes most highly rated by the potential users and making modifications to the materials based on the student feedback. In the final phase, 765 actual users then engaged with the culturally adapted program and rated their satisfaction with the program. We calculated the percentage of users who agreed or strongly agreed that the modules were interesting, relevant, useful, and helped them attain their goals. RESULTS: The potential users perceived the original vignettes as moderately genuine, or true, which were given median scores between 2.5 and 3 (out of a possible 4) and somewhat identified with the situations presented in the vignettes given median scores between 1.5 and 3. The majority of comments or suggestions for modification concerned language (126/218, 57.5%), followed by concepts (50/218, 22.8%). Much less concerned methods (22/218, 10%), persons (9/218, 4.1%), context (5/218, 2.3%), or content (2/218, 0.9%). There were no comments about metaphors or goals. Intervention materials were modified based on these results. Of the actual users who engaged with the adapted version of the program, 87.7%-96.2% of them agreed or strongly agreed that the modules were interesting, relevant, useful, and helped them to attain their goals. CONCLUSIONS: We conclude that the adapted version is satisfactory for this population based on the focus group discussions and the satisfaction scores. Conducting and documenting such cultural adaptations and involving the users in the cultural adaptation process will likely improve the effectiveness of digital mental health interventions in low- and middle-income countries and culturally diverse contexts.
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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 | 0,003 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 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) | 0,001 | 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 ».