Une simulation interprofessionnelle : une exploration des expériences des étudiantes en sciences infirmières
Bibliographic record
Abstract
BACKGROUND: the literature suggests that simulation is an effective strategy to meet the learning needs of nursing students. Traditionally, simulation learning for nursing students takes place at nursing schools ; at a distance from the clinical setting, patients, and the interprofessional team. AIM: the objective of this pilot project is to explore the experiences of Francophone nursing students following their participation in an interprofessional simulation in a hospital setting during their third year clinical placements. METHOD: a case study using Yin's (2003) approach was used to explore this phenomenon through focus groups and individual interviews. RESULTS: thirteen people participated in three simulation sessions that each included two scenarios. Content analysis of the focus groups revealed four themes : 1) the need for a realistic, but safe environment ; 2) simulation helps to build self-confidence ; 3) simulation improves knowledge of the role of the nurse ; and 4) simulation improves knowledge of teamwork. Two themes emerged from individual interviews : 1) the knowledge and skills acquired during the simulation were retained over time ; and 2) perceptions of the effects on the quality and safety of patient care. CONCLUSION: the use of simulation could be effective for the development of knowledge of nursing role, teamwork, and self-confidence.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".