Nurses’ Patient Safety Competencies in Aceh Province, Indonesia
Bibliographic record
Abstract
Purpose: To determine the level of nurses‟ patient safety competencies in Aceh, Indonesia.Methods: A descriptive study was conducted to randomly recruit 207 nurses in a hospital in Banda Aceh, Indonesia. The nurses‟ patient safety competencies was measured by using the Patient Safety Competencies of Nurses Questionnaire (PSCNQ) which was a self-reported, 29-item questionnaire rated on a 4-point Likert scale (1 to 4), developed based on the Canadian Patient Safety Institute‟s Safety Competencies. Result: More than half of nurses participated in the study were less than 30 years old, with a mean age of 31 years. The majority was female, married, earned diploma degree, and had working experience of 1-10 years. The overall nurses‟ patient safety competencies was at a high level. The area that nurses reported highest competency was “use personal protective equipment”. Whereas the area they reported lowest competency was “maintain the documents of adverse events and report each adverse event.”Conclusion: The study findings suggested that Acehnese nurse leaders should further maintain and promote nurses‟ patient safety competencies. Studies exploring factors contributing to nurses‟ patient safety competencies together with utilizing other data collection methods, such as observation is worth investigated.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".