Development and feasibility study of a Culturally Tailored Asthma intervention using a mixed-method approach at the primary school level in Malaysia: Challenged by the COVID-19 pandemic
Bibliographic record
Abstract
Introduction: The World Health Organization recommends incorporating asthma programmes into national school health services, although this recommendation is rarely implemented. Methods: In Malaysia, we developed a multi-level primary school asthma programme incorporating educational sessions for children with asthma and their parents, raising awareness within the whole school community and training school staff to provide first-aid asthma management. The programme was adapted for delivery during the COVID-19 pandemic, and a mixed-method feasibility study was conducted in October 2020. Results: We identified 34 children with asthma, who comprised 3.7% of the school population. Only 14/34 (41.2%) children with asthma and 4/14 (28.5%) of their parents attended the remote sessions. The in-person session for school staff was attended by 55/62 (88.7%), among whom 86.0% rated the session as good/excellent. Conclusion: The school-based intervention was feasible and received good feedback, despite the COVID-19 pandemic forcing remote delivery. Stakeholder engagement is essential in the development and feasibility of a school-based asthma programme.
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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 | 0.020 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".