Impact of phase‐specific treatment of first episode of psychosis on Wisconsin Quality of Life Index (client version)
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to assess the impact of a phase-specific community-focused treatment program on different dimensions of self-reported quality of life in a representative sample of first episode psychosis patients. METHOD: Data were collected on patients presenting with a first episode of psychosis on the Wisconsin Quality of Life Index (client version), positive and negative symptoms, and demographic and clinical variables at baseline following clinical stabilization and at 1 year. RESULTS: Complete data on a representative sample of 41 patients showed a significant improvement in most dimensions of the WQOL at 1 year; these changes were generally independent of changes in symptoms and there were no significant differences in the magnitude of improvement in QOL between those with DUP < or >6 months. CONCLUSION: Patients with a first episode of predominantly schizophrenia spectrum psychosis show a highly significant improvement in subjectively assessed quality of life following a year of phase-specific comprehensive treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".