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Record W4399120459 · doi:10.1080/01612840.2024.2346601

Professional Values and Mental Health Tribunals: How Healthcare Professionals’ and Lawyers’ Views Are Shaped by Values, and How This Might Impede Reform

2024· article· en· W4399120459 on OpenAlexaff
Fiona Jäger, Sam Boyle, Amélie Peron

Bibliographic record

VenueIssues in Mental Health Nursing · 2024
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversity of OttawaSt. Lawrence College
Fundersnot available
KeywordsTribunalMental healthAdversarial systemHealth careThematic analysisSubject (documents)Mental health lawPsychologyMental healthcarePublic relationsLawPolitical scienceNursingSociologyMedicineQualitative researchPsychiatry

Abstract

fetched live from OpenAlex

Most countries that provide for compulsory treatment for mental illness have a system by which this treatment is subject to independent legal oversight. Many countries use a special type of legal body for this purpose, called a mental health tribunal. Mental health tribunals have been subject to criticism from the points of view of both legal professionals and mental healthcare practitioners. Similar themes have manifested in these criticisms and have been consistent across several decades; legal professionals tend to focus on the tribunals being biased toward the medical opinion, and acting as a 'rubber stamp', whereas healthcare practitioners tend to focus on the adversarial nature of the trial, and the adverse effect that this can have on clients. However, empirical studies of the tribunals have not separated and directly compared these perspectives. This study aimed to explore this dynamic between lawyers' views and healthcare practitioners' views of mental health tribunals. We used thematic analysis to re-analyse data from two previous research studies, one which looked at lawyers' views of the tribunals, and one which looked at healthcare practitioners' views. Our results are divided into three themes: views of the problems with tribunals, professional roles in relationship to the tribunals and professional values demonstrated through these views and roles. We then consider if the 'clash of values' represented by these findings, and found in the literature, may pose an impediment to tribunal reform. Identifying and exploring this barrier is an important step to moving beyond critique to reform.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.055
metaresearch head score (Gemma)0.088
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0550.088
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0270.067
Scholarly communication0.0270.018
Open science0.0030.014
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0030.000

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 head0.048
GPT teacher head0.465
Teacher spread0.417 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2024
Admission routes1
Has abstractyes

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