Effectiveness of educational interventions to develop patient safety knowledge, skills, behaviours and attitudes in undergraduate nursing students: a systematic review protocol
Bibliographic record
Abstract
INTRODUCTION: Patient safety is a healthcare discipline that aims to prevent and reduce patient harm, risks and errors during the provision of healthcare. Given the size of the nursing workforce in the healthcare system the inclusion of patient safety in the undergraduate nursing curriculum is necessary to enhance a safe culture in the daily work of their future careers. To this end, it is essential to apply effective teaching strategies to develop patient safety competencies. This review will aim to evaluate the effectiveness of educational interventions in developing patient safety knowledge, skills, behaviours and attitudes in undergraduate nursing students within the existing topic areas of the WHO Multi-professional Patient Safety Curriculum Guide. METHODS AND ANALYSIS: The databases Medline, CINAHL, Scopus, Education Research Complete, The Cochrane Central Register of Controlled Trials, LILACS, Medes and Grey literature such as ClinicalTrials.gov, Google Scholar, DART-Europe, ProQuest Dissertations, CAPES thesis and dissertations, The Virginia Henderson Global e-Repository, Mednar and Thesis Canada will be searched from July 2011 to January 2022. Two independent reviewers will conduct the search, extract the data and assess the risk of bias for the included studies, using standardised critical appraisal instruments from the Joanna Briggs Institute. The quality of the evidence will be assessed using the Grading of Recommendations, Assessment Development and Evaluation methodology. Studies will be pooled in the meta-analysis. Alternatively, the findings will be presented in narrative form, including tables and figures, to aid in data presentation. ETHICS AND DISSEMINATION: This study raises no ethical issues. The findings will be disseminated through presentations at professional conferences and publications in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42021254965.
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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 | 0.074 | 0.074 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.030 | 0.023 |
| Bibliometrics | 0.015 | 0.011 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.058 | 0.007 |
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".