Operating Room Culture and Interprofessional Relations
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".