Burnout among specialists and trainees in physical medicine and rehabilitation: A systematic review
Bibliographic record
Abstract
OBJECTIVE: Burnout, a state of emotional exhaustion related to work or patient-care activities, is prevalent in all stages of medical training and clinical practice. The syndrome has serious consequences, including medical errors, poorer quality of care, substance abuse, and suicide. The aim of this study is to evaluate the prevalence of burnout in Physical Medicine and Rehabilitation (PMandR) specialists and trainees. METHODS: Systematic literature searches were conducted in MEDLINE, CINAHL and EMBASE for peer-reviewed articles in English before March 2019 about the prevalence of burnout amongst PMandR specialists and trainees. RESULTS: This systematic review yielded 359 results. Of these, 33 full-text records were reviewed; 5 met the inclusion criteria: 3 surveys of PMandR specialists and 2 of PMandR residents (total n?=?1,886 physicians; year of publication 20122019). Data extracted included prevalence and severity of burnout and, if available, risk or protective factors. Data were analysed using descriptive statistics. Incidence of burnout ranged from 22.2% to 83.3% in trainees and 48% to 62% in specialists. Organizational and system challenges were the primary risk factors for burnout amongst specialists. CONCLUSION: Emerging evidence positions physicians in PMandR among the most likely to experience burnout. Although there is limited literature regarding PMandR specialists and trainees, the available evidence suggests that more than half of physicians in PMandR experience burnout.
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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 | 0.011 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".