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Record W2985271290 · doi:10.1097/hcm.0000000000000280

Operating Room Culture and Interprofessional Relations

2019· article· en· W2985271290 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Health Care Manager · 2019
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsThematic analysisContext (archaeology)Psychological interventionNursingPersonalityEthnographyPsychologyMedicineMedical educationQualitative researchSociologySocial psychology

Abstract

fetched live from OpenAlex

The purpose of this article is to describe interprofessional relations in order to better understand their impact on nurse retention, while considering the operating room culture and its specific context. A focused ethnography was performed between September and October 2017 at a university hospital in an urban center in the province of Quebec, Canada. This was a secondary analysis of 11 nurses' semistructured one-on-one interviews. Additional data were collected through 6 days of observations, informal conversations, field notes, and a journal. A thematic analysis followed. Interprofessional relations and the need for recognition are important for nurse retention. In addition, a nurse's personality appears to be an important aspect in the complex and specific context of the operating room. Nurse retention in the operating room is multifactoral, and like the need for recognition, interprofessional relations are important issues. Interventions to improve working relationships, recognition of nurses, and consideration of a nurse's personality during hiring appear to be promising avenues for improving retention in the operating room.

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.

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 score0.086
Threshold uncertainty score0.312

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 head0.008
GPT teacher head0.318
Teacher spread0.310 · 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