MétaCan
Menu
Back to cohort
Record W2318488476 · doi:10.1097/acm.0b013e31826768d4

“The Benefits Make Up for Whatever Is Lost”

2012· article· en· W2318488476 on OpenAlexaffabout
Lynfa Stroud, Olga Oulanova, Nicolas Szecket, Shiphra Ginsburg

Bibliographic record

VenueAcademic Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsSunnybrook Health Science CentreSunnybrook Hospital
Fundersnot available
KeywordsMEDLINEMedical educationPsychologyMedicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

PURPOSE: A new internal medicine call structure was implemented at two teaching hospitals at the University of Toronto, Canada, in 2009, motivated by patient safety concerns, new duty hours regulations, and dissatisfaction among attending physicians. This study aimed to determine attendings', residents', and students' experiences with the new structure and to look carefully for unintended consequences. METHOD: Between June and August 2009, the authors conducted an in-depth qualitative study using level-specific focus groups of attending physicians, residents, and medical students (n=28) with experience of both the old and new call systems. Discussions were analyzed using grounded theory. RESULTS: Analysis revealed six themes (physician, manager, learner, teacher, workload, and "teamness") as well as the overarching theme of accountability. Although participants perceived the new system as better for patient care, there were several trade-offs. For example, workload was more predictable and equitable but less flexible, and senior residents reported less personal continuity for patients but increased continuity of care on the team level. Teaching and learning were negatively affected. Despite the negative effects, participants perceived that overall accountability improved on many levels, and participants felt the trade-offs were worth the perceived benefits. CONCLUSIONS: Residents were flexible and altruistic, accepting trade-offs in their own experiences in favor of patient care. Education was negatively affected. This study highlights the importance of carefully studying changes to look for anticipated and unanticipated consequences.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score0.754

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)0.0010.000

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 head0.051
GPT teacher head0.350
Teacher spread0.299 · 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 designNot applicable
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

Citations12
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueAcademic MedicineSame topicHospital Admissions and OutcomesFrench-language works237,207