Validity of Hospital Admission as an Outcome Measure of Services for First-Episode Psychosis
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to assess the external validity of hospitalization as an outcome measure for first-episode psychosis services. METHODS: A two-year, prospective cohort design was used to examine the associations between hospitalization, general psychopathology, and quality of life in a cohort of 606 participants treated for a first episode of psychosis. RESULTS: In bivariate analyses, general psychopathology and quality of life were each significantly associated with hospitalization at both time points. After analyses controlled for all covariates in the logistic models, both clinical measures continued to be significantly correlated with hospitalization at both one and two years. CONCLUSIONS: These results validate hospitalization as an outcome measure for first-episode psychosis services, and they extend the existing research showing a relationship between hospitalization and process measures to include other valid and reliable clinical measures.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".