Staff and resident perceptions on the introduction of a team based multi-specialty resident night shift system
Bibliographic record
Abstract
OBJECTIVES: To determine the perceptions of staff and resident physicians on the impact of implementation of a new team based multi-specialty resident night shift system. METHODS: An electronic survey was distributed anonymously to all resident physicians in the Core Internal Medicine residency program at the University of Alberta. A similar survey was distributed to staff physicians in the 4 specialties impacted by this new system: hematology, respirology, nephrology and gastroenterology. RESULTS: 74 physicians completed the survey. A majority of respondents (67%) indicated the new system was a positive change. Most shared it was better than traditional 1 in 4 call (65%), with resident physicians appreciating the team based nature of the system (65%), and just more than half of residents (55%) indicating this system improved their overall wellness. Most respondents (78%) did not feel the additional handover required had a negative impact. Respondents indicated daytime teaching and feedback improved as a result of this system (52%) with most others indicating it had no impact, although overnight feedback remained a challenge. CONCLUSION: The implementation of this new team based system was well accepted by both staff and resident physicians across a number of domains. Future study is required to determine its impact on access and quality of care.
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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 | 0.000 | 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 | 0.000 |
| 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".