Impact of the COVID-19 Pandemic on the Wellness of Canadian Plastic Surgery Residents
Bibliographic record
Abstract
On top of preexisting burnout, depression, and anxiety among trainees, the COVID-19 pandemic has introduced novel stressors. The objectives of this study were to determine the effects of the COVID-19 pandemic on Canadian plastic surgery residents' practice, wellness, and overall training. Methods: Surveys for program directors and residents were created and disseminated to all English-speaking Canadian plastic surgery residency training programs. Survey results were pooled and presented as a percentage of responses for each question. Results: Response rates were 50% (n = 5/10) and 25% (n = 19/77) for program directors and residents, respectively. All program directors believed that the pandemic has a negative effect on resident wellness, 80% (n = 4/5) of which believed that their residents were coping effectively. They rated program support for resident wellness as neutral or supportive. Most programs (80%; n = 4/5) introduced strategies to support resident well-being. Most trainees (84%; n = 16/19) reported the pandemic as having a negative effect on their well-being, with approximately 50% endorsing worse emotional, social, psychological, and physical wellness, as well as feelings of burnout. Some reported difficulties coping (21%; n = 4/19). Residents felt that their wellness was supported externally by their own resilience (89%; n = 17/19), family members (74%; n = 14/19), friends (74%; n = 14/19), their partner (68%; n = 13/19), or co-residents (53%; n = 10/19). Internal support by their program was rated as neutral or negative (63%; n = 12/19). Conclusions: Our findings of negative effects of the COVID-19 pandemic on the wellness of Canadian plastic surgery trainees are concerning. Programs must implement appropriate identification and support strategies to improve resident well-being.
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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 | 0.002 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".