Changes in evidence-based practice beliefs and implementation after a postgraduate educational program: A before-and-after study over one year
Bibliographic record
Abstract
Healthcare professionals are increasingly expected to use research evidence to improve healthcare outcomes. The aim of this study was to examine change in beliefs and implementation of evidence-based practice (EBP) one year after participation in a 15 ECTS postgraduate educational program in EBP. We conducted a before-and-after study among 158 healthcare professionals in a postgraduate program in EBP. Participants completed the Norwegian version of the EBP Beliefs Scale and the EBP Implementation Scale at baseline and one year after the program. Results indicated increased scores from pre-test to one year follow up on the EBP Beliefs Scale and the EBP Implementation Scale. Participants in evidence-based network groups reported higher scores on the EBP Implementation Scale than those who did not participate in these groups. Further research should examine other factors that may facilitate implementation of evidence-based practice.
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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 | 0.012 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".