The impact of the COVID-19 pandemic on wellness among vascular surgeons
Bibliographic record
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has placed significant strain on the health and welfare of all health care professionals, including vascular surgeons. This review summarizes the implications of the pandemic on the health and wellness of surgeons and trainees, with a particular focus on those in vascular surgery (VS). A literature review was completed using common resource databases. We provide a brief history of burnout in VS and explore burnout and wellness in VS during this unprecedented pandemic. We then offer recommendations to address mental health needs by the VS workforce and highlight opportunities to address the gaps in the literature. The impact of COVID-19 on the professional and personal lives of surgeons and trainees in VS is notable. More than half of vascular surgeons reported some degree of anxiety. Factors associated with anxiety and burnout include COVID-19 exposure, moral injury, practice changes, and financial impacts. Trainees appeared to have more active coping strategies with dampened rates of anxiety compared to those in practice. Women appear to be disproportionately affected by the pandemic, with higher rates of anxiety and burnout. Groups underrepresented in medicine seemed to have more resilience when it came to burnout, but struggled with other inequities in the health care environment, such as structural racism and isolation. Strategies for addressing burnout include mindfulness practices, exercise, and peer and institutional support. The COVID-19 pandemic has had a substantial mental health impact on the VS workforce globally, as shifts were made in patient care, surgical practice, and work-home life concerns.
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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 | 0.017 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| 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; both teacher heads agree on what is shown here.
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".