Parents’ and Health Care Professionals’ Perspectives on Prevention and Prediction of Food Allergies in Children: Protocol for a Qualitative Study
Bibliographic record
Abstract
BACKGROUND: Food allergy in children is increasing in prevalence in the western world and appears to become an important health problem. Parents of children at risk of food allergy live with the fear of allergic reaction, especially when the children are very young. The paradigm shift in allergy prevention in the last decade-away from allergen avoidance toward a tolerance induction approach-challenges both parents and health care professionals, as they have to deal with changing information and new evidence that often contradicts previous assumptions. Yet, research on health information-seeking behavior and needs of parents on primary prevention of food allergy in children as well as on prediction and prevention strategies of German health care professionals is lacking. OBJECTIVE: The aim of the study is to explore and understand parents' and health care professionals' perspectives on the prediction and prevention of food allergies. We are particularly interested in information needs, information seeking, and health care usage and place a special focus on families' experiences when their child is at risk or diagnosed with food allergies. Furthermore, food allergy prediction and prevention strategies of health care professionals will be explored. METHODS: This study is part of the NAMIBIO (food allergy biomarker) app consortium, which aims to identify early predictors for the development of food allergy in children and develop apps to guide health care professionals and parents of children with a high risk of food allergy toward prevention and timely tolerance induction. The study uses a qualitative approach with topic-guided interviews and focus groups with parents of children (0-3 years) and health care professionals. Data collection will continue until theoretical saturation is reached. The qualitative content analysis will be used according to Kuckartz to identify overarching themes toward information needs and seeking behavior as well as usage of health care and health care professionals' predictive and preventive strategies. In addition, a constructivist grounded theory approach will be used to explore and understand parents' experiences, interactions, and social processes in families in daily life. RESULTS: Recruitment and data collection started in February 2022 and is still ongoing. CONCLUSIONS: The qualitative study will provide insight into parents' information-seeking behavior and needs regarding the prevention of food allergy in children, parents' use of pediatric primary care, and health care professionals strategies for the prediction and prevention of food allergies in children. We assume that our results will highlight the challenges associated with the paradigm shift in allergy prevention for both parents and health care professionals. The results will be used to make practical recommendations from the user's perspective and inform the development of the NAMIBIO apps. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/41436.
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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 | 0.059 | 0.042 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.048 | 0.007 |
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".