Nursing Students’ Perceived Self-Efficacy and the Generation of Medication Errors with the Use of an Electronic Medication Administration Record (eMAR) in Clinical Simulation
Bibliographic record
Abstract
Medication errors continue to be a significant issue, posing substantial threats to the safety and well-being of patients. Through Bandura's theory of self-efficacy, nursing students' self-efficacy (confidence) related to medication administration was examined to investigate its influence on the generation of medication errors with the use of an Electronic Medication Administration Record (eMAR) in clinical simulation. This study examined the generation of medication errors and the differences that may exist based on nursing students' perceived confidence. The findings of this study demonstrated that nursing students continue to generate medication errors within clinical simulation. No differences in the generation of medication errors were found between nursing students with perceived high levels of confidence and those with perceived low levels of confidence (one exception noted). Further examination of the variables and contextual factors related to safe medication administration practices is required to inform nursing education and 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 | 0.005 | 0.002 |
| 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 | 0.001 |
| 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".