Adolescent-onset psychosis: prevalence, needs and service provision
Bibliographic record
Abstract
BACKGROUND: Little is known of the epidemiology and care needs of people with adolescent-onset psychosis. AIMS: To examine prevalence and the cross-sectional disability, needs and service provision for adolescent-onset psychosis in areas of central Scotland with a total population of 1.75 million. METHOD: We identified and contacted 103 young people using an opt-out research design. Fifty-three participants and their carers and keyworkers were interviewed using a modified version of the Cardinal Needs Schedule. RESULTS: The 3-year prevalence was 5.9 per 100,000 general population. Twenty-one (20%) adolescents were not in contact with mental health services; 80% of first admissions were to adult acute psychiatric wards. Those interviewed had high levels of morbidity: 29 (55%) had serious to pervasive impairment of functioning; there were relatively high levels of side-effects, negative symptoms, anxiety, occupational, friendship and family difficulties. Care provision was better for'clinical'than for'social'domains; 20% had five or more unmet needs; 17% had at least one intractable problem. CONCLUSIONS: This low-prevalence disorder requires an assertive multi-agency approach in the context of a national planning framework.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".