Essential Primary Health Care Skills
Bibliographic record
Abstract
BACKGROUND: Practice-based learning is essential in nurse practitioner (NP) education to ensure public safety and prepare students for independent practice. However, lack of clinical placement opportunities results in variability in clinical experience, necessitating educational innovation. PURPOSE: To evaluate the usability, engagement, and impact of the Essential Skills for Nurse Practitioners virtual simulations (VS). METHODS: Four VS covering concussion management, Medical Assistance in Dying (MAiD), memory concerns in older adults, and prescribing medical cannabis were evaluated across 3 Canadian universities using self-assessment competency rubrics and the Classroom Instructional Support Perception (CRiSP) scale. RESULTS: Competencies improved significantly across all VS, with highest improvement in concussion management. CRiSP results indicated high usability and engagement with all VS, underscoring their effectiveness. CONCLUSIONS: Findings indicate VS can enhance students' readiness to manage complex clinical situations and help address clinical placement shortages.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".