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Record W2005213171 · doi:10.1097/acm.0b013e3182a31157

To Stay or Not to Stay? A Grounded Theory Study of Residents’ Postcall Behaviors and Their Rationalizations for Those Behaviors

2013· article· en· W2005213171 on OpenAlexaffabout
Taryn Taylor, Jeff Nisker, Lorelei Lingard

Bibliographic record

VenueAcademic Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsWestern University
Fundersnot available
KeywordsGrounded theoryPsychologyGerontologyMedical educationMedicineQualitative researchSociologySocial science

Abstract

fetched live from OpenAlex

PURPOSE: Although policies to restrict residents' duty hours are pervasive, resident adherence to restricted duty hours has proved challenging. The authors sought to describe residents' postcall behaviors and understand the dominant rationalizations underpinning their decisions to stay or not to stay after a 24-hour shift. METHOD: Using constructivist grounded theory methodology, the authors conducted semistructured interviews with 24 residents across six surgical and nonsurgical specialty programs at one Canadian institution during 2012. They analyzed transcripts iteratively using a constant comparative method of identifying and refining key themes as the data set accrued, and theoretically sampling until theme saturation. RESULTS: Abiding by cultural norms was the dominant rationalization for both choosing to continue to work postcall or to go home. Cutting across this dominant theme were three subcategories (infrastructure, invoking values, and negotiating tension) with a pattern of residents invoking similar values of patient safety and education regardless of the cultural norms of their program, the infrastructure within which they worked, or the tensions they were navigating. CONCLUSIONS: Although central to residents' rationalizations, values appear to be versatile, amenable to multiple, even conflicting, applications. Residents perceived that they were upholding the values of patient safety and education regardless of which postcall behavior they chose-staying or going. Based on this, for duty hours reform initiatives to be successful, a shift to emphasizing organizational changes will be required to reduce the circumstances in which postcall behavior is an individual, values-based decision.

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)0.002
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 score0.352
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.055
GPT teacher head0.390
Teacher spread0.335 · 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

Citations19
Published2013
Admission routes2
Has abstractyes

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