<p>Personality and burnout among primary care physicians: an international study</p>
Bibliographic record
Abstract
Purpose: Burnout is a syndrome comprised of three major dimensions, namely, emotional exhaustion, depersonalization, and reduced personal accomplishment. Its etiology appears to be multifactorial, involving work-related and personal factors including personality traits. Personality has been associated with burnout among various physician groups; however, this has not been studied well amongst primary care physicians. This study therefore aimed to investigate the association between personality type and burnout in primary care physicians in Canada and Jamaica. Methods: This cross-sectional study involved primary care physicians in Canada and Jamaica. Participants completed a questionnaire that included the Maslach Burnout Inventory Human Services Survey and The Big Five Inventory. Responses were analyzed to determine relationships between burnout, personality type, and various demographic factors. Results: Seventy-seven physicians participated in the study. Approximately 38% of participants reported low levels of accomplishment, 34% reported high levels of emotional exhaustion, and 20% reported high levels of depersonalization, all equating to high levels of burnout. Neuroticism was negatively correlated with personal accomplishment ( P <0.01) and positively correlated with emotional exhaustion ( P ≤0.001) and depersonalization ( P <0.01). Agreeableness ( P <0.05) and conscientiousness ( P <0.05) were positively correlated with accomplishment and both were negatively correlated with depersonalization ( P <0.01 and P <0.05, respectively). Conclusion: In this multinational study, we found that burnout was a common problem among primary care physicians. Personality, particularly neuroticism, agreeableness, and conscientiousness, impacts physician burnout. Strategies that modulate the impact of personality on burnout may be beneficial for optimal health care delivery. Keywords: personality types, occupational health, neuroticism, physician burnout
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".