Contributors to Physician Burnout and Well-Being in Forensic Psychiatrists in Canada.
Bibliographic record
Abstract
The experience of burnout in forensic psychiatrists has not been well studied, with most studies focusing on the experiences of forensic nurses, the impact of vicarious trauma and compassion fatigue in forensic mental health professionals, and the risk of posttraumatic stress disorder related to workplace exposures. This study reports on a national survey (34% response rate) conducted with forensic psychiatrists across Canada to understand the rate of, and contributors to, burnout and professional fulfillment. Just over half of the physician respondents reported experiencing burnout, which is in line with other recent surveys in Canada that have indicated elevated levels of burnout since the onset of the pandemic. The highest rates were found among early-career psychiatrists and those whose values did not align with their workplace. Intellectual stimulation, the interface with the legal system, and flexibility in one's job were all strongly linked with professional fulfillment. The goal of this survey was not only to identify rates and variables affecting burnout and wellness in this population but also to expand the dialogue on potential interventions at institutional and systems levels that can reduce burnout, promote professional fulfillment, and enhance recruitment and retention in the field of forensic psychiatry.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".