Innovative Methodologies to Teach Patient Safety in Undergraduate Nursing: Scoping Review
Bibliographic record
Abstract
Objective: This work sought to identify the innovative methodologies used to teach patient safety in undergraduate Nursing. Materials and method: this is a scoping review conducted according to the recommendations by the Joanna Briggs Institute Reviewers’ Manual, through the databases: Medline/PubMed, Cumulative Index of Nursing and Allied Health, Scopus, Web of Science, Education Resources Information Center, Latin American and Caribbean Literature on Health Sciences, Catálogo de Tesis de la Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, The National Library of Australia’s Academic Archive Online, Digital Access to Research Theses Europe E-Theses Portal, Electronic Theses Online Service, Repositório Científico de Acesso Aberto de Portugal, National ETD Portal, and Theses Canada. Results: the study included 19 studies, most of descriptive type (n = 8; 42.1 %) and quasi-experimental (n = 7; 36.8 %) with quantative approach (n = 11; 57.9 %), conducted in the United States (n = 4; 21.1 %), in 2013 (n = 4; 21.1 %) and 2017 (n = 4; 21.1 %). The innovative methodologies used to teach patient safety in undergraduate Nursing that were highlighted included the scenario of the care practice simulated in the laboratory (n = 14; 73.7 %) and educational videos (n = 7; 36.8 %). Conclusions: it was identified that innovative methodologies used to teach patient safety in undergraduate Nursing were simulation, videos, staging/role playing, and films, all applied in the classroom teaching modality.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".