An Exploration of the Role of Influentials in Increasing the Uptake of Evidence-Based Practice in Nursing
Bibliographic record
Abstract
Objective: The purpose of this study was to explore the role of persons who influence the uptake of evidence-based practice in nursing. Methods: This was a two-phase study. First, a scoping review of the literature was undertaken on influential persons (influentials) in nursing. Second, semi-structured interviews with front-line nurses were conducted using grounded theory. Results: Eleven studies were included in the scoping review and 18 nurses from hospitals in Ontario were interviewed. The results from the initial conceptual framework, scoping review and interviews were triangulated to form a theoretical model. This study found that influentials are credible individuals who use social, educational and leadership characteristics and strategies to change behaviors, attitudes and increase job satisfaction. Other factors of importance are supportive organizational leadership and awareness of barriers. Conclusions: Credible influentials appear to be a promising strategy to influence the uptake of evidence-based practice in nursing.
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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 | 0.047 | 0.129 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".