Development and Preliminary Testing of App-Based Culturally-Adapted Psychoeducation for Bipolar Disorder in Pakistan
Notice bibliographique
Résumé
Aims Bipolar disorder (BD) leads to marked disability, morbidity, and premature death. Although pharmacological agents are an essential part of BD treatment, psychosocial interventions have played an important role in enhancing treatment adherence, functioning and quality of life in patients with BD. Building on a successful pilot randomised controlled trial (RCT) of a Culturally adapted PsychoEducation (CaPE) intervention for BD, CaPE is currently being evaluated in a large multicenter RCT for its clinical and cost-effectiveness across Pakistan. However, innovations are urgently needed due to limited human resources and disproportionately high clinical needs to bring effective interventions to scale. This study aims to develop and test a mHealth iteration of CaPE, digital CaPE (dCaPE), to be delivered via a mobile app. Methods The study will utilise a two-phased approach to i) develop a user-centred dCaPE mobile application and ii) assess the feasibility and preliminary efficacy of dCaPE for people with BD in a randomised controlled trial in Pakistan. For application development, we have conducted discussion groups with stakeholders i.e., mental health professionals (psychiatrists, psychologists, nurses) (n = 8) and patients and carers (n = 10) to gauge their valuable insights for app design, visual elements, cultural sensitivity, motivational and mood-monitoring features, and app functionality to improve user experience. Results The findings from discussion groups informed the importance of visual elements, specifically font size and style. Participants recommended the use of soft and soothing colours like white, grey, and soft shades of pink to prevent overstimulation. Additionally, participants highlighted the need for culturally and linguistically inclusive features, including emojis and audio messages for effective engagement and to address the challenge of low literacy. The mHealth approach was deemed highly valuable, especially given the prevalence of mental health challenges and associated stigma. Endorsed by participants, the dCaPE application will offer customized psychoeducation messages along with daily 5-item (mood, energy, sleep, medication, and irritability) screening, a weekly comprehensive test for manic and depressive episodes based on DSM–5 criteria; weekly reminders to regulate sleep and eating habits, and visual representations of weekly mood monitoring reports with the incentive of badges or rewards for goal achievers. Conclusion This research has the potential to enhance clinical outcomes, social and occupational functioning, and the overall quality of life for BD patients while addressing substantial mental health treatment gaps with impact and implications extending to various low-resource settings.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».