The Effect of Restricting Residents' Duty Hours on Patient Safety, Resident Well-Being, and Resident Education: An Updated Systematic Review
Bibliographic record
Abstract
BACKGROUND: Despite 25 years of implementation and a sizable amount of research, the impact of resident duty hour restrictions on patients and residents still is unclear. Advocates interpret the research as necessitating immediate change; opponents draw competing conclusions. OBJECTIVE: This study updates a systematic review of the literature on duty hour restrictions conducted 1 year prior to the implementation of the Accreditation Council for Graduate Medical Education's 2011 regulations. METHODS: The review draws on reports catalogued in MEDLINE and PreMEDLINE from 2010 to 2013. Interventions that dealt with the duty hour restrictions included night float, shortened shifts, and protected time for sleep. Outcomes were patient care, resident well-being, and resident education. Studies were excluded if they were not conducted in patient care settings. RESULTS: Twenty-seven studies met the inclusion criteria. Most frequently, the studies concluded that the restrictions had no impact on patient care (50%) or resident wellness (47%), and had a negative impact on resident education (64%). Night float was the most frequent means of implementing duty hour restrictions, yet it yielded the highest proportion of unfavorable findings. CONCLUSIONS: This updated review, including 27 recent applicable studies, demonstrates that focusing on duty hours alone has not resulted in improvements in patient care or resident well-being. The added duty hour restrictions implemented in 2011 appear to have had an unintended negative impact on resident education. New approaches to the issue of physician fatigue and its relationship to patient care and resident education are needed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".