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Record W2113739846 · doi:10.1192/bjp.bp.109.065151

Retrospective views of psychiatric in-patients regaining mental capacity

2009· article· en· W2113739846 on OpenAlexaff
Gareth Owen, Anthony S. David, Peter Hayward, Genevra Richardson, George Szmukler, Matthew Hotopf

Bibliographic record

VenueThe British Journal of Psychiatry · 2009
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsInstitute of Health Services and Policy Research
FundersKing's College LondonNational Institute for Health and Care ResearchWellcome Trust
KeywordsRetrospective cohort studyMental capacityPsychiatryMental healthMedicineInvoluntary treatmentMedical treatmentPsychologyFamily medicineSurgery

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.329
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations52
Published2009
Admission routes1
Has abstractyes

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