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Record W4404556718 · doi:10.1101/2024.11.19.24316016

A Realist Evaluation of a Fatigue Risk Management Plan (FRMP) Implementation in Obstetrics and Gynecology Residency: Calls for Systemic, Structural and Cultural Reform

2024· preprint· en· W4404556718 on OpenAlexaff
Aliya Kassam, Benedicta Antepim, Kimberley Thornton, Sarah Glaze

Bibliographic record

VenuemedRxiv · 2024
Typepreprint
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsAlberta Health ServicesUniversity of Calgary
Fundersnot available
KeywordsAccreditationObstetrics and gynaecologyMedicineFamily medicineGraduate medical educationForgettingMedical educationPsychologyNursingPregnancy

Abstract

fetched live from OpenAlex

Abstract Objective Accreditation standards in residency education are calling for initiatives to promote the wellness of resident physicians including the implementation of fatigue risk management plans (FRMPs). We sought to conduct a realist evaluation of a FRMP within a five-year Obstetrics and Gynecology (OBGYN) residency training program in labour and delivery units. Design Mixed method study design informed by realist inquiry. Setting A single OBGYN residency program comprised of N=32 resident physicians who provided in-house labour and delivery call at four hospitals across a city of over one million people. Method Realist inquiry askes what works, for whom, in what circumstances, and why? through examining contexts, mechanisms, and outcomes. We collected quantitative and qualitative data from resident physicians sequentially across three time points. Data were thematically analyzed, and configuration on contexts, mechanisms, and outcomes were identified using a realist approach. Results There was n=19 unique participants (60% response rate). Most of the participants identified as women (93.7%), single (56.2%) and without children (93.7%). Participants mean age was 28.5 years and ranged from junior to senior residents. We found no significant difference between median sleepiness scores across three timepoints (p=0.17) however 20% of residents reported starting and ending shifts with high sleepiness scores signaling impairment that is hazardous to both residents and patients. The n=6 resident interview participants, reported overlooking patient details (forgetting to order tests, and delaying care) as well as personal safety issues such as driving home whilst fatigued despite FRMP implementation. Conclusion Specific aspects of the OBGYN FRMP such as the nap model and nutrition could help with decreasing perceptions of fatigue related to lack of sleep and lack of available food. While FRMPs might be helpful in de-stigmatizing fatigue in residency, FRMPs are unlikely to decrease levels of resident fatigue because of systemic, structural, and cultural barriers.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.204
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.057
GPT teacher head0.383
Teacher spread0.326 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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