Retrospective views of psychiatric in-patients regaining mental capacity
Bibliographic record
Abstract
BACKGROUND: An individual's right to self-determination in treatment decisions is a central principle of modern medical ethics and law, and is upheld except under conditions of mental incapacity. When doctors, particularly psychiatrists, override the treatment wishes of individuals, they risk conflicting with this principle. Few data are available on the views of people regaining capacity who had their treatment wishes overridden. AIMS: To investigate individuals' views on treatment decisions after they had regained capacity. METHOD: One hundred and fifteen people who lacked capacity to make treatment decisions were recruited from a sample of consecutively admitted patients to a large psychiatric hospital. After 1 month of treatment we asked the individuals for their views on the surrogate treatment decisions they received. RESULTS: Eighty-three per cent (95% CI 66-93) of people who regained capacity gave retrospective approval. Approval was no different between those admitted informally or involuntarily using Mental Health Act powers (chi(2) = 1.52, P = 0.47). Individuals were more likely to give retrospective approval if they regained capacity (chi(2) = 14.2, P = 0.001). CONCLUSIONS: Most people who regain capacity following psychiatric treatment indicate retrospective approval. This is the case even if initial treatment wishes are overridden. These findings moderate concerns both about surrogate decision-making by psychiatrists and advance decision-making by people with mental illness.
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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 | 0.006 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".