Interactive Serious Game to Teach Basic Life Support Among Schoolchildren in Brazil: Design and Rationale
Bibliographic record
Abstract
UNSTRUCTURED: Cardiovascular diseases are leading causes of death and morbidity worldwide. CPR and early defibrillation significantly enhance survival rates. Serious Games (SG) improve learning through entertainment. Current strategies target Cardiopulmonary resuscitation for communities and schoolchildren, but none have been validated for children in low-to-middle-income settings. The SG Children Save Hearts, developed in Brazil, teaches the five resuscitation steps according to International Liaison Committee on Resuscitation 2020 guidelines and requires formal usability assessment. The study aimed to evaluate the usability of SG Children Save Hearts among IT and healthcare professionals using the System Usability Scale (SUS). The usability test was conducted in August 2022 in the university's IT department. The game was developed targeting schoolchildren aged 7 to 17. Categorical variables as absolute and relative frequencies, while continuous variables were presented as median with interquartile range (IQR). Normality was assessed using the Shapiro-Wilk test. Comparisons between IT and healthcare professionals were made using the independent t-test for normal distributions or the Mann-Whitney U test for non-normal distributions. We included 17 volunteers with a mean age of 22 years (IQR 20-26). All participants played the game and completed a 10-question survey on its usability using a Likert-type scale. The final grade was converted to a 0 to 100 scale, with a grade above 70 considered acceptable for a minimum viable product. The mean SUS score was 75 (IQR 72.5-87.5). Healthcare professionals gave higher grades to all five domains compared to IT professionals. The average time spent playing the game was 3.2 minutes. Novel technologies have shown promising results for CPR teaching using active teaching methods, but face challenges in developing countries, such as language barriers, device acquisition, cultural differences, and technical support. To our knowledge, this is the first SG developed in portuguese for brazilian schoolchidren. Despite some usability issues, the SG Children Save Hearts is considered adequate for teaching CPR to schoolchildren in Brazil.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".