Development and acceptability of a decision‐aid for food allergy oral immunotherapy in children
Bibliographic record
Abstract
BACKGROUND: Limited decision-support tools are available to help shared decision-making (SDM) regarding food oral immunotherapy (OIT) initiation. No current tool covers all foods, forms, and pediatric ages for which OIT is offered. METHODS: In compliance with International Patient Decision Aid Standards criteria, this pediatric decision-aid comparing OIT versus avoidance was developed in three stages. Nested qualitative data assessing OIT decisional needs were supplemented with evidence-synthesis from the OIT literature to create the prototype decision-aid content. This underwent iterative development with food allergy experts and patient advocacy stakeholders until unanimous consensus was reached regarding content, bias, readability, and utility in making a choice. Lastly, the tool underwent validated assessment of decisional acceptability, decisional conflict, and decisional self-efficacy. RESULTS: The decision-aid underwent 5 iterations, resulting in a 4-page written aid (Flesch-Kincaid reading level 6.1) explaining therapy choices, risks and benefits, providing self-rating for attribute importance for the options and self-assessment regarding how adequate the information was in decision-making. A total of n = 135 caregivers of food-allergic children assessed the decision-aid, noting good acceptability, high decisional self-efficacy (mean score 85.9/100) and low decisional conflict (mean score 20.9/100). Information content was rated adequate and sufficient, the therapy choices wording balanced, and presented without bias for a "best choice." Lower decisional conflict was associated with caregiver-reported anaphylaxis. CONCLUSIONS: This first pediatric OIT decision-aid, agnostic to product, allergen, and age has good acceptability, limited bias, and is associated with low decisional conflict and high decisional self-efficacy. It supports SDM in navigating the decision to start OIT or continue allergen avoidance.
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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".