Home Management of Childhood Asthma Exacerbations
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
INTRODUCTION: Effective home management of childhood asthma by caregivers requires education along with a written asthma action plan (AAP), which should outline clear instructions for treatment during exacerbations. However, a large number of asthma exacerbations continue to be managed in the emergency department (ED) and in hospitals, particularly in Canada. The objective of this study was to assess caregiver management of acute asthma at home following the 2015 Global Initiative for Asthma (GINA) guidelines and to identify factors that may be associated with deviations from these guidelines. METHODS: 122 caregivers of children, aged 3-17 years, with physician diagnosed asthma, completed a paper-based questionnaire. Correct caregiver management (defined according to the GINA guidelines) of acute asthma as well as their use of an AAP were assessed. RESULTS: Out of all caregivers, 74.6% incorrectly treated their child's asthma exacerbation in a home setting. Among those who used an AAP, we observed significantly more ED visits (0.9 ± 1.2 versus 0.5 ± 0.9, p = 0.04) and hospitalizations (0.2 ± 0.4 versus 0.0 ± 0.0, p = 0.02) when compared to non-AAP users in the past 1 year. CONCLUSIONS: Caregivers of children with asthma in Canada may still lack skills for proper home management of asthma exacerbations. We found a higher number of ED visits and hospitalizations in those using an AAP compared to those who did not use an AAP. These data suggest that current AAPs may not be sufficient for home asthma management.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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