Lessons learned from the development of a school age food allergy education program
Bibliographic record
Abstract
Education is required to effectively manage food allergy. In young children, parents are the primary managers. Once children enter school, a shift should begin towards a shared care model with children beginning to take on more responsibility. We previously developed a food allergy education program for parents of pre-school children and now have developed a new program for school age children and their parents building on our experience with the pre-school program. Development steps included: synthesizing knowledge gained from expert advice, a literature review and parents; creation of program objectives, content, teaching tools and facilitator notes; sharing a program draft with experts for feedback; piloting the revised program; making further revisions during the pilot. The pilot phase included 6 groups and 22 families (37 parents, 23 children). Children liked the activity-based sessions and benefited from meeting with peers. Parents appreciated the learning opportunity for children. Some parents suggested a less structured format for the adult sessions. Many parents highly valued the peer-to-peer discussions. Parents were interested in the practical aspects of dealing with other people, educating their child, avoiding risk and recognizing and treating reactions. In our experience, finding the right approach to food allergy education for school age parents is more complex than for parents of young children or even asthma education for school age parents. Most school age parents have lived with food allergy for a few years and have basic knowledge. However, at this stage their child’s expanding world and relationships present new issues for which many parents value practical advice from others living with the experience. Health care providers should consider the importance of both professional and peer input into education for this population to ensure parents have correct current knowledge and practical skills to help them support and educate their child.
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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 | 0.000 |
| 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) | 0.000 | 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".