Nurses’ Self-Efficacy Regarding Cardiopulmonary Resuscitation: A Literature Review
Bibliographic record
Abstract
Early detection and effective resuscitation response are critical to the survival of cardiac arrest patients. Nursing staff are frequently the initial responders to cardiac arrest patients. The level of self-efficacy lessens the anxiety of new nursing graduates and enhances their ability to do cardiopulmonary resuscitation (CPR). This paper aimed to investigate the relationship between self-efficacy and nurses’ abilities regarding CPR. Self-efficacy refers to “beliefs in one’s capacity to arrange and execute the courses of action required to achieve specific attainments”. Two main categories discussed in this study include self-efficacy of nurses about CPR and factors affecting their self-efficacy. As a result, nurses must have the essential knowledge and attitude, and trust in their self-efficacy to provide adequate nursing care to cardiac patients. Furthermore, nurses need to be prepared regarding CPR’s knowledge and self-efficacy before delivering it, since these are crucial aspects that affect CPR delivery.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".