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Record W1971359043 · doi:10.1097/acm.0b013e31829e5727

Why Resident Duty Hours Regulations Must Address Attending Physicians’ Workload

2013· letter· en· W1971359043 on OpenAlexaff
Brian M. Wong, Kevin Imrie

Bibliographic record

VenueAcademic Medicine · 2013
Typeletter
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsToronto Public HealthSunnybrook Health Science CentreUniversity of TorontoHealth Sciences CentreRoyal College of Physicians and Surgeons of Canada
Fundersnot available
KeywordsWorkloadGraduate medical educationAccreditationDutyMedicinePatient safetyBurnoutNursingPatient careMedical educationFamily medicineHealth care

Abstract

fetched live from OpenAlex

For much of the past decade, the duty hours debate has focused primarily on the intended and unintended effects of resident duty hours restrictions on resident well-being and fatigue, patient safety, discontinuity and handoffs, and opportunities for teaching. On the other hand, attending physicians' needs and perspectives generally have been ignored. The authors of this commentary discuss the report by Roshetsky and colleagues in this issue of Academic Medicine, which found that attending physicians reported a greater clinical workload since the implementation of the 2003 Accreditation Council for Graduate Medical Education resident duty hours regulations, and that this increase in attending physicians' workload appears to correlate with decreased time for teaching. However, attending physicians not having time to teach may be but the tip of the iceberg. Other potential implications include faculty members' decreased availability for direct supervision of residents, their reduced emphasis on resident assessment, and their burnout and dissatisfaction, which ultimately also negatively affect patient care. Therefore, deliberate efforts to address attending physicians' workload must receive greater attention if the duty hours movement is to achieve its ultimate goal of improving patient outcomes. In this commentary, the authors advocate that duty hours regulations require programs to seek creative solutions to address these issues, just as the 2011 regulations require programs to address patient handoff training.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.113
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.042
GPT teacher head0.325
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations20
Published2013
Admission routes1
Has abstractyes

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