Suicide in mental health in-patients and within 3 months of discharge
Bibliographic record
Abstract
BACKGROUND: Suicide prevention is a health service priority. Suicide risk may be greatest during psychiatric in-patient admission and following discharge. AIMS: To describe the social and clinical characteristics of a comprehensive sample of in-patient and post-discharge cases of suicide. METHOD: A national clinical survey based on a 4-year (1996-2000) sample of cases of suicide in England and Wales who had been in recent contact with mental health services (n=4859). RESULTS: There were 754 (16%) current in-patients and a further 1100 (23%) had been discharged from psychiatric in-patient care less than 3 months before death. Nearly a quarter of the in-patient deaths occurred within the first 7 days of admission; 236 (31%) occurred on the ward, the majority by hanging. Post-discharge suicide was most frequent in the first 2 weeks after leaving hospital; the highest number occurred on the first day. CONCLUSIONS: Suicide might be prevented among in-patients by improving ward design and removing fixtures that can be used in hanging. Prevention of suicide after discharge requires early community follow-up and closer supervision of high-risk patients.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".