The use of Sections 2 and 3 of the Mental Health Act (1983) with older people: A prospective study
Bibliographic record
Abstract
The use of the UK Mental Health Act (MHA) is under scrutiny with older people, especially in those with dementia and other organic mental disorder. Whilst research into use of the MHA with this group has been sparse, the small body of existing research suggests that the MHA is applied differently to older adults (i.e. those over 65 years). This multi-centre study identified all MHA assessments conducted over a prospective three-month period, and obtained detailed data on the circumstances behind assessment. The findings highlighted that older people assessed under the MHA tend to exhibit different behaviour patterns, circumstances and core characteristics to those under 65; older people were more likely to be detained because of self neglect and physical illness and also more often had a diagnosis of an organic mental disorder. Younger people were unlikely to have a diagnosis of organic mental disorder and were more likely to be judged as a risk to other people. Risk of suicide was particularly highlighted with the under 65 age group. Implications for legislative reform are discussed.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".