Professional Values and Mental Health Tribunals: How Healthcare Professionals’ and Lawyers’ Views Are Shaped by Values, and How This Might Impede Reform
Bibliographic record
Abstract
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.
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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 | 0.055 | 0.088 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.027 | 0.067 |
| Scholarly communication | 0.027 | 0.018 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 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".