Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Research Protocols

Date Submitted: Jul 28, 2022
Date Accepted: Dec 22, 2022

The final, peer-reviewed published version of this preprint can be found here:

Parents’ and Health Care Professionals’ Perspectives on Prevention and Prediction of Food Allergies in Children: Protocol for a Qualitative Study

Hörold M, Apfelbacher C, Gerhardinger K, Rohr M, Schimmelpfenning M, Weigt J, Brandstetter S

Parents’ and Health Care Professionals’ Perspectives on Prevention and Prediction of Food Allergies in Children: Protocol for a Qualitative Study

JMIR Res Protoc 2023;12:e41436

DOI: 10.2196/41436

PMID: 36947117

PMCID: 10131891

Parents’ and healthcare professionals’ perspectives on prevention and prediction of food allergies in children: study protocol for a qualitative study

  • Madlen Hörold; 
  • Christian Apfelbacher; 
  • Katharina Gerhardinger; 
  • Magdalena Rohr; 
  • Maria Schimmelpfenning; 
  • Julia Weigt; 
  • Susanne Brandstetter

ABSTRACT

Background:

Food allergy in children increases in prevalence in the western world and appears to become an important health problem. Parents of children with suspected food allergy live with the fear of allergic reactions to foods, especially when the children are very young. The paradigm shift in allergy prevention in the last decade - away from allergen avoidance towards a tolerance induction approach - is associated with the challenge of dealing with changing (sometimes contradictory) information and new evidence. This requires a proactive, role for parents in managing daily life, which is often accompanied by insecurity. The NAMIBIO app consortium aims to identify early predictors for the development of food allergy in children and to develop apps to guide health professionals (HPs) and parents of children with a high risk for food allergy towards prevention and timely tolerance induction.

Objective:

We aim (as part of NAMIBIO app) to explore and understand parents’ and health professionals’ perspectives on prediction and prevention of food allergy. We are particularly interested in information needs, information seeking and health care utilisation and put a special focus on families' experiences when their child is considered at risk or diagnosed with food allergies. Furthermore, we will explore prediction and prevention strategies of health professionals.

Methods:

Our study uses a qualitative approach with topic-guided interviews with parents of children (0-3 years) and focus groups with pediatricians and allergists. Data collection will continue until theoretical saturation. We will use qualitative content analysis to identify overarching themes towards information needs and seeking behaviour as well as utilisation of healthcare. In addition, a constructivist grounded theory approach will be used to explore and understand parents' experiences, adaptations and strategies in daily life.

Results:

Recruitment and data collection started in February 2022. Depending on theoretical sampling, data analysis will end in autumn 2022. Results from this study will be disseminated via scientific publication, social media, and at national and international conferences.

Conclusions:

This qualitative study will provide important information from parents and health professionals about user perspectives that will inform the development of the NAMIBIO apps.


 Citation

Please cite as:

Hörold M, Apfelbacher C, Gerhardinger K, Rohr M, Schimmelpfenning M, Weigt J, Brandstetter S

Parents’ and Health Care Professionals’ Perspectives on Prevention and Prediction of Food Allergies in Children: Protocol for a Qualitative Study

JMIR Res Protoc 2023;12:e41436

DOI: 10.2196/41436

PMID: 36947117

PMCID: 10131891

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.