Context and Expectations Matter: Social, Recreational, and Independent Functioning among Youth with Psychosis in Chennai, India and Montreal, Canada
Bibliographic record
Abstract
ObjectivesMost cross-cultural psychosis research has focused on a limited number of outcomes (generally symptom-related) and perspectives (often clinician-/observer-rated). It is unknown if the purported superior outcomes for psychosis in some low- and middle-income countries extend to patient-reported measures of social, recreational, and independent functioning. Addressing this gap, this study aimed to compare these outcomes in first-episode psychosis at a high-income site and a lower middle-income site.MethodsPatients receiving similarly designed early intervention for psychosis in Chennai, India (N = 164) and Montreal, Canada (N = 140) completed the self-reported Social Functioning Scale-Early Intervention, which measures prosocial, recreation, and independence-performance functioning. Their case managers rated expected independence-performance functioning. Both sets of assessments were done at entry and Months 6, 18, and 24. Linear mixed model analyses of differences between sites and over time were conducted, accounting for other pertinent variables, especially negative symptoms.ResultsLinear mixed models showed that prosocial, recreation, and independence-performance functioning scores were significantly higher in Montreal than Chennai and did not change over time. Expected independence-performance was also higher in Montreal and increased over time. Negative symptoms and education independently predicted prosocial, recreation, and expected independence-performance functioning. When added to the model, expected independence-performance predicted actual independence-performance and site was no longer significant. At both sites, prosocial and recreation scores were consistently lower (<40%) than independence-performance (40–65%).ConclusionThis is the first cross-cultural investigation of prosocial, recreation, and independent functioning in early psychosis. It demonstrates that these outcomes differ by socio-cultural context. Differing levels of expectations about patients, themselves shaped by cultural, illness, and social determinants, may contribute to cross-cultural variations in functional outcomes. At both sites, social, recreational, and independent functioning were in the low-to-moderate range and there was no improvement over time, underscoring the need for effective interventions specifically designed to impact these outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".