National Survey on Essential Communication Skills to Address Language Demands in Canadian Nursing Practice
Bibliographic record
Abstract
AIMS: To identify key communication skills for Canadian nursing practice. DESIGN: Quantitative research using a nationwide survey. METHODS: Exploratory confirmatory factor analysis was used to identify factors underlying key communication skills required for nursing practice. Multiple regression analyses were used to examine differences across demographic variables, designations, roles and settings. RESULTS: Dimensions of effective communication skills were identified. Demographic and contextual variables showed some impact on the perceived importance of communication skills, but low variance suggested that language demands are relatively consistent across roles and settings. CONCLUSION: A framework describing the communication demands for Canadian nursing practice is described, contributing to the development of tailored curricula, assessments and policies. IMPLICATIONS FOR THE PROFESSION: Focusing on communication skills ensures that nurses are equipped to deliver safe healthcare and interact effectively with patients and colleagues, potentially leading to improved health outcomes. IMPACT: To our knowledge, this study is the first to develop a framework for communication skills and identify key language skill factors across nursing professional designations and practice settings. The research provides a framework for developing curricula and training programmes that focus on essential communication skills. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".