Acceptability of Serious Games in Pediatric Asthma Education and Self-management: Pilot Study
Bibliographic record
Abstract
BACKGROUND: Asthma is the most common chronic pediatric disease. Despite existing tools to manage asthma, 40%-55% of children with asthma experience uncontrolled asthma. Serious games (SGs) represent a novel approach in promoting asthma education and self-management for children. OBJECTIVE: In this qualitative pilot study with an embedded quantitative design, we aim to use focus groups and questionnaires to describe the perceived role of SGs in different aspects of asthma self-management by children and their parents. These aspects include asthma perception and knowledge, the impact of asthma and barriers to asthma self-management, and the support system for asthma self-management. METHODS: A total of 5 children with asthma and their parents were invited to participate in an organized gaming session. Children and their parents completed a pregaming questionnaire on their medical history and asthma knowledge. Then, they were invited to test 4 original SG prototypes, after which the children answered a postgaming questionnaire on their asthma knowledge and perception of the SGs. Children and their parents subsequently participated in parallel focus groups, which were video-recorded or audio-recorded, transcribed verbatim, and analyzed by reaching consensus among members of the research team. RESULTS: The mean age of the children was 10.3 (SD 1.5) years, with 20% (1/5) of the children being male. Qualitative data from the transcripts were coded into three separate domains: asthma self-management perception and knowledge, impact of asthma and barriers to asthma self-management, and support system for asthma self-management. We specifically explored the perceived roles of SGs within each domain. A key takeaway message was identified for each of these three domains: heterogeneity of asthma knowledge and the ability of SGs to encourage knowledge transfer through games, consequences and limitations of asthma and the ability of SGs to allow for identification and management of real-life situations through games, and insufficient support system and the ability of SGs to encourage playing with others for support and shared knowledge. CONCLUSIONS: Our pilot study explored the role of SGs in the self-management of asthma, as perceived by children and their parents. Our findings support the acceptability of SGs in asthma education and self-management in pediatrics and the necessity for future development in this field.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".