Determinants of quality of life in first‐episode psychosis
Bibliographic record
Abstract
OBJECTIVE: To assess patient and/or illness characteristics associated with aspects of quality of life (QOL) in first-episode psychosis (FEP). METHOD: Patient characteristics, symptom ratings and Wisconsin QOL scale (client version) were assessed. Data were analysed with correlation coefficients and a hierarchical regression analysis. RESULTS: Patients presented with varying levels of QOL on different domains. The level of 'general satisfaction' was related to age of onset and social premorbid adjustment; 'weighted index of QOL' to social premorbid adjustment and inversely to educational premorbid adjustment; 'social relations' inversely to duration of untreated psychosis (DUP), length of prodrome and negative symptoms; 'psychological well-being' inversely to depression and educational premorbid adjustment; 'activities of daily living' to social premorbid adjustment and inversely to negative symptoms; and 'outlook on symptoms' to level of depression. CONCLUSION: Domains of self-rated QOL in FEP patients are differentially associated with malleable and non-malleable aspects of patient and illness characteristics.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".