Long-Term Patterns of Acute Mental Health Service Use After a First Episode of Psychosis: Examining Ongoing Psychiatric Care Beyond the Critical Period
Bibliographic record
Abstract
The long-term patterns of acute mental health service use after treatment in an early psychosis intervention (EPI) program are not well known. The objective of this thesis was to investigate the long-term patterns of acute mental health service use. We used health administrative data to examine the patterns and risk factors associated with acute mental health service use over the of 5- to 10-year period post-EPI admission. Between years 5 to 10 post-EPI admission, approximately one quarter of people contacted acute mental health services. Factors associated with acute mental health service use during this period included younger age at admission, and prior use of acute mental health services in the first 5 years post-EPI admission. Our findings show that a subset of people with psychotic disorders continue to have contact with acute mental health services over the longer-term and suggests that the service needs of people recovering from psychosis may not be met.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".