Teaching high quality paediatric basic life support to laypeople: The development and evaluation of a virtual simulation game
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Self-directed training has been recognized as a reasonable alternative to traditional instructor-led formats to teach laypeople Basic Life Support (BLS). Virtual tools can facilitate high-quality self-directed resuscitation education; however, their role in teaching paediatric BLS remains unclear due to limited empiric evaluation and suboptimal design of existing tools. Aim: We describe the development and evaluation of a virtual simulation game (VSG) designed to teach high-quality paediatric BLS using a self-directed, online format with integrated deliberate practice and feedback. Methods: We conducted a pilot prospective single-arm cohort study examining the VSG's impact on laypeople's paediatric BLS self-efficacy, attitudes, and knowledge as well as learner reactions. Data was collected using online surveys immediately after VSG completion and was analysed using descriptive statistics. Results: Fifty-five participants (median age 32 years, 76% female, 11% active certification in paediatric BLS) evaluated the VSG. Participants reported high self-efficacy, willingness to perform paediatric BLS, and high perceived knowledge after VSG completion. Fifty (91%) achieved a passing score (≥13/15) on the paediatric BLS knowledge assessment. Learner reactions were favourable with 98% of participants agreeing that VSG educational content was clear and helpful. Mean System Usability Scale score was 81.1 (standard deviation 12.6) with a Net Promoter Score of 32 indicating high levels of usability and likelihood to recommend to others. Conclusions: The VSG was well-received by laypeople with positive effects observed on paediatric BLS self-efficacy, attitudes, and knowledge. Future studies should examine the impact of VSGs on skill performance through standalone or blended learning approaches.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it