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Record W115825928

Faculty and resident perceptions regarding overnight student call during the third year OB/GYN clerkship.

2011· article· en· W115825928 on OpenAlexaff
Mark Hiraoka, Stephen Sung, James Davis, David Kim

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsPerceptionMedical educationMedicinePsychologyFamily medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: The objective of this study is to identify university faculty, community physician, and resident perceptions of how a schedule that employs overnight call in addition to a traditional weekday schedule affects medical student education, well being, and patient care during the third year obstetrics and gynecology clerkship. METHODS: In July 2007, a descriptive study was performed by distributing surveys to community teaching physicians, current residents, and faculty in the University of Hawai'i Department of Obstetrics and Gynecology. A total of 114 surveys were distributed to all current residents, clinical faculty and full-time faculty in the University of Hawai'i Department of Obstetrics and Gynecology. The survey included questions regarding the effect of the student call/work hour restrictions. RESULTS: A response rate of 45.6% was obtained (52/114). Results demonstrate that 84.6% (44/52) of residents, faculty, and community attendings agree that third year medical students should take call during their obstetrics and gynecology clerkship. Data was analyzed utilizing Spearman correlation and Cochran-Mantel-Haenszel statistics. No statistical difference was detected in terms of age or physician type (resident vs faculty vs community attending). CONCLUSION: Most physician-educators believe that medical students benefit from taking overnight call during their obstetrics and gynecology clerkship. Careful consideration should be given prior to elimination of overnight call in the obstetrics and gynecology clerkship.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.276
Teacher spread0.234 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations5
Published2011
Admission routes1
Has abstractyes

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