Registered nurses' perceptions of their roles in medical‐surgical units: A qualitative study
Bibliographic record
Abstract
AIM: The aim of this study was to gain insight into the perception of nurses about their roles in medical-surgical units. BACKGROUND: As a result of ever-changing work environments, medical-surgical nurses find it difficult to know and practice according to the full scope of their roles. DESIGN: A qualitative descriptive study. METHODS: Semi-structured individual interviews were conducted with 21 nurses on three campuses of a large tertiary care hospital located in Quebec, Canada. Thematic analysis was used to construe meaning from the interviews. This research adheres to the Standards for Reporting Qualitative Research guidelines and checklist. RESULTS: The data analysis resulted in three main themes: (i) confusion in nurses' roles and scope of practice; (ii) challenges in the continuity of care and (iii) factors affecting the roles of nurses in medical-surgical units. CONCLUSION: Attention must be paid to the care continuum as it represents a critical element for surgical patients' quality and safety of care. RELEVANCE TO CLINICAL PRACTICE: Medical-surgical nurses should understand their roles and the factors that limit their full scope of practice in order to provide and manage complex care situations. Additionally, an interdisciplinary approach is a strategy that may better respond to patients' clinical needs across the surgical journey.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".