Burnout among physicians: Prevalence and predictors of depersonalization, emotional exhaustion and professional unfulfillment among resident doctors in Canada
Bibliographic record
Abstract
Introduction Burnout in the medical profession has garnered a lot of attention over the recent years. While it is reported across all specialties and all stages of medical education; resident physicians in particular are at high risk for burnout throughout their years of training. Objectives This study aimed at evaluating the prevalence and correlates of burnout among resident physicians in Alberta. Methods Through a descriptive cross-sectional study design, a self-administered questionnaire was used to gather data from resident physicians at two medical schools in Alberta, Canada. Maslach Burnout Inventory was used as an assessment tool. Chi-squared and multivariate binary logistic regression analyses were used. Results Overall burnout prevalence among residents was 58.2%. Working more than 80 hours/week (OR= 16.437; 95% CI: 2.059 – 131.225), being dissatisfied (OR= 22.28; 95% CI: 1.75– 283.278) or being neither satisfied nor dissatisfied with a career in medicine [(OR= 23.81; 95% CI: 4.89 – 115.86) were significantly associated with high depersonalization. Dissatisfaction with efficiency and resources (OR= 10.83; CI: 1.66- 70.32) or being neither satisfied nor dissatisfied with a career in medicine (OR= 5.14; CI: 1.33- 19.94)] were significantly associated with high emotional exhaustion. Working more than 80 hours/week (OR= 5.36; CI: 1.08- 26.42) and feeling that the residency program is somewhat having enough strategies aimed at resident well-being in place (OR= 3.70; CI: 1.10- 12.46) were significantly associated with high work exhaustion and interpersonal disengagement. Young age of the residents (≤ 30 years) (OR= 0.044; CI: 0.004- 0.445) was significantly associated with low professional fulfillment. Conclusions Burnout is a serious occupational phenomenon that can degenerate to other conditions or disrupts one’s professional performance. Significant correlates were associated with high rates of burnout. Leaders of medical schools and policy makers need to acknowledge, design, and implement various strategies capable of providing continuous effective mental health support to improve the psychological health of the medical resident across Canada. Disclosure of Interest None Declared
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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 | 0.000 |
| 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 | 0.000 |
| 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".