Impact of Educational Program regarding Bronchial Asthma of Children on Caregivers' Knowledge and Practices
Bibliographic record
Abstract
Background: Asthma is a long-term respiratory inflammatory disease characterized by chronic lung inflammation, which affects up to 18% of people worldwide. Asthma affects all age groups and is a lifetime condition. Aim: to evaluate the impact of educational program regarding bronchial asthma of children on caregivers' knowledge and practices. Design: Quasi-experimental research design (pre-posttest) was used in the current study. Setting: The current study was conducted in the outpatient chest clinic at Minia University Hospital for Gynecology, Obstetrics and pediatrics located in Minia city. Subjects: A Purposive sample of 60 caregivers of children with bronchial asthma was participated in the study. Tools: Tool (I): Structured interview questionnaire, classified into 5 parts, Part (1): Socio-demographic characteristics of caregivers, Part (2): Socio-demographic characteristics of children, Part (3): Past medical data of child, Part (4): Current medical data of child, Part (5): Caregivers' knowledge regarding bronchial asthma of children and Tool (II): Reported practices of the caregivers and their children regarding bronchial asthma. The time of beginning of data collection from first October 2023 to the end of March, 2024. Results: It was found that all caregivers had satisfactory level of knowledge and practices in post –program compared to less than one quarter pre-program Conclusion: The study concluded that the educational program for caregivers and children with bronchial asthma was effective by means of marked improvement of knowledge and practices. Recommendation: The study recommended that regular asthma education should be integrated into pediatric care services to improve caregivers’ knowledge and practices.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".