Trainee perceptions of resident duty hour restrictions: a qualitative study of online discussion forums
Bibliographic record
Abstract
OBJECTIVE: Resident duty hour (RDH) restrictions in postgraduate medical education is a controversial yet important topic for study. There is limited literature on authentic trainee perceptions surrounding RDH restrictions to inform evaluation and future planning. Online forums are a widely accessible, yet underused resource, for insight into trainee perceptions. Our objective was to qualitatively assess trainee perceptions of RDH restrictions on online discussion forums. SETTING: Online discussion forums; Premed101 (Canadian forum) and Student Doctor Network (SDN) (American forum). PARTICIPANTS: 6630 posts from 161 discussion threads; comprising 429 posts in 14 threads from Premed101 and 6201 posts in 147 threads from SDN. Posters included medical students, residents and attending physicians. DESIGN: Data were analysed inductively and iteratively to create themes and subthemes. Cocoding, consensus-based decision making and an audit trail were used to ensure trustworthiness. RESULTS: Key findings distilled across both forums include: the relationship between hours worked and competence, the inapplicability of blanket RDH restrictions to all specialties and the inter-relationship between fatigue and patient safety. Discussions of RDH restriction compliance and perceived consequence for the reporting of violations were also featured on the American SDN forum. CONCLUSIONS: The findings of this study reveal multiple themes pertinent to the implementation and revision of RDH restrictions. The most prominent theme was the inapplicability of blanket restrictions on duty hours theme due to the diversity of training needs across specialties and the environmental context of training programmes. Other discussions included the inter-relationship of patient safety and resident competence with duty hours. Lastly, concerns regarding the lack of transparency and psychological safety surrounding RDH violations, were discussed.
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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 | 0.000 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".