Post-traumatic stress disorder in physicians from an underserviced area
Bibliographic record
Abstract
BACKGROUND: Studies suggest a high prevalence of mental illness in physicians. The rate of post-traumatic stress disorder (PTSD) has been examined in physicians exposed to traumatic circumstances and physicians in training but never in physicians in regular practice. OBJECTIVE: To estimate the prevalence of PTSD in physicians practicing in a predominantly rural and remote and medically underserviced region of Canada. METHODS: The PTSD Checklist-Civilian Version (PCL-C) was mailed to all 331 physicians in Northwestern Ontario, Canada. A PCL-C score of >or=50 was used to define 'probable' PTSD and >or=30 defined 'possible' PTSD. Additional comments and demographic information were also requested. RESULTS: Completed questionnaires were received from 159 physicians (48%). The prevalence of probable PTSD was 4.4%. No differences between demographic groups were observed for probable PTSD, but possible PTSD was more frequent in males than females (47.3% versus 20.4%, chi-square = 10.59, P = 0.001). Mean scores were also higher for males than for females (30.4 versus 25.4, 95% confidence interval for the difference: 1.4-8.5, P = 0.006). Respondents identified overwork, insufficient resources and relationships with colleagues and patients as common stressors. CONCLUSIONS: Results suggest a high rate of PTSD in Northwestern Ontario physicians. The prevalence of possible PTSD and mean PCL-C scores are higher in men than in women in this region, which may relate to differences in practice characteristics and the opportunity for exposure to traumatic events.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".