COVID-19 and Canadian Gastroenterology Trainees
Bibliographic record
Abstract
Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has impacted endoscopy services and education worldwide. This study aimed to characterize the impact of COVID-19 on gastroenterology trainees in Canada. Methods An analysis of Canadian respondents from the international EndoTrain survey, open from April 11 to May 2 2020 and distributed by program directors, trainees, and national and international gastroenterology societies’ representatives, was completed. The survey included questions on monthly endoscopy volume, personal protective equipment availability, trainee well-being and educational resources. The primary outcome was change in procedural volume during the COVID-19 pandemic. Secondary outcomes included trainee’s professional and personal concerns, anxiety and burnout. Results Thirty-four Canadian trainees completed the survey. Per month, participants completed a median of 30 esophagogastroduodenoscopies (interquartile range 16 to 50) prior to the pandemic compared to 2 (0 to 10) during the pandemic, 20 (8 to 30) compared to 2 (0 to 5) colonoscopies and 3 (1 to 10) compared to 0 (0 to 3) upper gastrointestinal bleeding procedures. There was a significant decrease in procedural volumes between the pre-COVID-19 and COVID-19 time periods for all procedures (P < 0.001). Thirty (88%) trainees were concerned about personal COVID-19 exposure, 32 (94%) were concerned about achieving and/or maintaining clinical competence and 24 (71%) were concerned about prolongation of training time due to the pandemic. Twenty-six (79%) respondents experienced some degree of anxiety, and 10 (31%) experienced some degree of burnout. Conclusion The COVID-19 pandemic has substantially impacted gastroenterology trainees in Canada. As the pandemic eases, it important for gastrointestinal programs to adapt to maximize resident learning, maintain effective clinical care and ensure development of endoscopic competence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".