Effect of a scenario -based simulation communication education based on Calgary -Cambridge Guide on communication competence of undergraduate nursing students
Bibliographic record
Abstract
Objective To explore the effect of the clinical scenario-based simulation communication education based on Calgary -Cambridge Guide for undergraduate nursing students. Methods Totally 87 undergraduate nursing students were enrolled and divided into the experimental group (n=44) and the control group (n=43). The experimental group received clinical scenario-based simulation communication education based on Calgary -Cambridge Guide for communication. The control group received traditional class-based education for communication. The clinical communication skills questionnaire and Communication Observing Questionnaire were administered before and after the training. The testing results of both groups were compared. Results After participating in the education project, six dimensions of clinical communication competence and the total score were significantly improved after training compared with those before training in the experimental group. After training, the experimental group was better than the control group in establishment of harmonious relationship, confirming patients' problems, efficient information transfer, validation experience and communication competence,t values were 2.64, 2.32, 2.19, 2.20 and 4.36,P< 0.05. In testing of integrated cases, scores of six aspects such as case design, information collection, explaining behavior, relationship development, conflict coordination and service behavior in the experimental group were significantly higher than those of the control group,t values were 2.15, 2.10, 3.26, 2.84, 2.14 and 2.61,P<0.05. Conclusions The clinical scenario -based simulation education based on the Calgary-Cambridge Guide can improve communication competence of nursing students. Key words: Teaching; Students, nursing; Communication; Scenario-based simulation
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".