Forty-Five Years of Civil Litigation Against Canadian Psychiatrists: An Empirical Pilot Study
Bibliographic record
Abstract
OBJECTIVES: To extract the themes pertaining to prudent psychiatric practice from written court judgments in Canada. METHODS: We searched the medical and legal literature for cases involving civil litigation against Canadian psychiatrist and reviewed all available written judgments. We completed a thematic analysis of the civil actions against psychiatrists as conveyed by those written court judgments. We classified the cases according to the disposal status and the essential lessons from the decisions on standard of care and practice by Canadian psychiatrists. RESULTS: Forty such cases were identified as involving psychiatrists over a 45-year period. A subgroup included those dealing with limitation periods and disclosure applications. Thirty of the 40 cases (75%) were decided in favour of the defendant psychiatrists, including 2 dismissed for running over the limitation period. The cases that actually went to trial suggest that documentation and obtaining second opinions are protective against claims of negligence. Inpatient cases resulting in successful litigation against psychiatrists involved fatal outcomes, but not all fatal outcomes led to successful litigation. CONCLUSIONS: The key lessons from these cases are the importance and relevance of regular best clinical practices, such as documentation, obtaining second opinions, following guidelines, and balancing competencies in the expert and manager or advocate roles. Incorporating these practices should allay concerns about litigation against psychiatrists.
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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 | 0.012 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.023 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".