Effectiveness Of Simulation-Based Training Program In Basic Life Support On Healthcare Workers’ Knowledge And Practice
Bibliographic record
Abstract
Background: Healthcare workers competency level in performing Basic Life Support (BLS) is critical to improve the survival rate of cardiac arrest patients. The aim of this study is to evaluate the impact of simulation based BLS training on healthcare workers ’ knowledge and practice. Methods: Pre-test post-test quasi experimental design was used to collect data from 49 healthcare workers before and after the implementation of a simulation based BLS training program. Results: The results showed that healthcare workers scored significantly higher knowledge and skill scores after training than that before training. The overall mean of the participants’ knowledge scores in the posttest was approximately (4.24) more than the overall mean of the participants’ knowledge scores in the pretest. Moreover, the overall mean of participants’ skill scores in the posttest was approximately (27.08) more than the overall mean of the participants’ skill scores in the pretest Conclusion: Such results provided evidence of the positive effect of simulation-based BLS training program on the healthcare workers’ knowledge and skill about BLS.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".