Challenges to the Practice of Evidence-Based Medicine during Residents’ Surgical Training: A Qualitative Study Using Grounded Theory
Bibliographic record
Abstract
PURPOSE: To examine surgical trainees' barriers to implementing and adopting evidence-based medicine (EBM) in the day-to-day care of surgical patients. METHOD: In 2000, 28 surgical residents from various subspecialties at a hospital affiliated with McMaster University Faculty of Health Sciences in Ontario, Canada, participated in a focus group (n = 8) and semistructured interviews (n = 20) to explore their perceptions of barriers to the practice of EBM during their training. Additional themes were explored, such as definitions of EBM and potential strategies to implement EBM during training. The canons and procedures of the grounded theory approach to qualitative research guided the coding and content analysis of the data derived from the focus group and semistructured interviews. RESULTS: Residents identified personal barriers, staff-surgeon barriers, and institutional barriers that limited their ability to apply EBM in their daily activities. Residents perceived their lack of education in EBM, time constraints, lack of priority, and fear of staff disapproval as major challenges to practicing EBM. Moreover, the lack of ready access to surgical EBM resource materials proved to be an important additional factor limiting EBM surgical practice. Residents identified several strategies to overcome these barriers to EBM, including hiring staff surgeons with EBM training, offering coursework in critical appraisal for all staff, improving interdepartmental communication, and providing greater flexibility for EBM training. CONCLUSIONS: Surgical residents identified a general lack of education, time constraints, lack of priority, and staff disapproval as important factors limiting incorporation of EBM. Curriculum reform and surgeon education may help overcome these barriers.
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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 | 0.058 | 0.090 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".