Patient- and family-reported experiences of their treating teams in early psychosis services in Chennai, India and Montreal, Canada
Notice bibliographique
Résumé
BACKGROUND: Cross-cultural psychosis research has mostly focused on outcomes, rather than patient and family experiences. Therefore, our aim was to examine differences in patients' and families' experiences of their treating teams in early intervention services for psychosis in Chennai, India [low- and middle-income country] and Montreal, Canada [high-income country]. METHODS: Patients (165 in Chennai, 128 in Montreal) and their families (135 in Chennai, 110 in Montreal) completed Show me you care, a patient- and family-reported experience measure, after Months 3, 12, and 24 in treatment. The measure assesses the extent to which patients and families view treating teams as being supportive. A linear mixed model with longitudinal data from patient and family dyads was used to test the effect of site (Chennai, Montreal), stakeholder (patient, family), and time on Show me you care scores. This was followed by separate linear mixed effect models for patients and families with age and gender, as well as symptom severity and functioning as time-varying covariates. RESULTS: As hypothesized, Chennai patients and families reported more supportive behaviours from their treating teams (β=4.04; β= 9, respectively) than did Montreal patients (Intercept =49.6) and families (Intercept=42.45). Higher symptom severity over follow-up was associated with patients reporting lower supportive behaviours from treating teams. Higher levels of positive symptoms (but lower levels of negative symptoms) over follow-up were associated with families reporting lower supportive behaviours from treating teams. There was no effect of time, age, gender and functioning. CONCLUSIONS: The levels to which treating teams are perceived as supportive may reflect culturally shaped attitudes (e.g., warmer attitudes towards healthcare providers in India vis-à-vis Canada) and actual differences in how supportive treating teams are, which too may be culturally shaped. Being expected to be more involved in treatment, Chennai families may receive more attention and support, which may further reinforce their involvement. Across contexts, those who improve over follow-up may see their treating teams more positively.
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Comment cette classification a été obtenuedéplier
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 ».