Impact of a basic life support training program on high school students in the Canary Islands
Bibliographic record
Abstract
Abstract Introduction Out-of-Hospital Cardiac Arrest (OHCA) causes over 3 million deaths worldwide every year. In Europe, 58% of OHCAs receive bystander CPR. Early and effective CPR improves prognosis. In the Canary Islands, the project "Only hands can save lives" was created, it seeks to increase awareness and social participation in OHCA, promoting CPR training in schools. Hypothesis and objectives: To evaluate the impact of the CPR training through the project "Only hands can save lives" on the students of the Canary Islands after nine months that it has been received. Material and methods A descriptive cross-sectional study carried out by the students who participate in the project through an anonymous questionnaire. A quantitative and qualitative evaluation were done, and the results were compared with a historical cohort. An analysis was performed based on gender, age and previous participation in the project. Results A total of 2.577 surveys were obtained. Nine months after basic CPR training, there were significant improvements in various variables: 612 students (23,7%) correctly recognize a cardiac arrest, and 2,337 (90,7%) know the emergency number 112, with girls outperforming boys in this identification (girls: 1.239, 92,9% vs boys: 1.100, 88,5%; p<0.001). Furthermore, age significantly influences the acquisition of knowledge. Previous participation in the project improves knowledge of the nearest AED location (508, 34,1% vs 216, 19,9%; p=0.001). Conclusions Canary Islands students retain the basic CPR knowledge nine months after training. So, it is essential to maintain these educational programs, one per year, to consolidate knowledge and skills, improve the rate of bystander CPR on OHCA and increase the survival rate.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".