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Pedi-R-MAPP | the development, testing, validation, and refinement of a digital nutrition awareness tool
L V Marino1, C Fandinga2, J Barratt2
1Paediatric Intensive Care Unit, Southampton Children's Hospital, NIHR Southampton Biomedical Research Centre University Hospital Southampton NHS Foundation Trust, Faculty of Health Science, University of Southampton, Southampton, UK.
A digital tool, the Pediatric Remote Malnutrition Application (Pedi-R-MAPP), was developed for remote nutrition assessments. It achieved 98% agreement with pediatric dietitians, improving remote care for children.
Area of Science:
- Pediatric Nutrition
- Digital Health Tools
- Health Informatics
Background:
- The COVID-19 pandemic highlighted the need for remote healthcare solutions.
- The Remote Malnutrition Application (R-MAPP) was adapted for pediatric use (Pedi-R-MAPP) via Delphi consensus.
- A structured approach for remote nutrition assessments within technology-enabled care services (TECS) was desired.
Purpose of the Study:
- To develop and validate a digital version of the Pediatric Remote Malnutrition Application (Pedi-R-MAPP).
- To utilize the IDEAS framework (Integrate, Design, Assess, Share) for tool development.
- To create a structured digital tool for remote nutrition-focused assessments in pediatric care.
Main Methods:
- The IDEAS framework guided a ten-step development process.
- Iterative design involved healthcare professionals (n=22) and user feedback.
- Testing included retrospective (n=80) and large-scale (n=745) assessments by pediatric dietitians.
Main Results:
- Initial dietitian agreement with Pedi-R-MAPP advice was 86% (n=640/745).
- Key areas for improvement included review frequency and discharge recommendations.
- Iterative algorithm refinement led to a 98% agreement rate (p<0.0001).
Conclusions:
- A digital Pedi-R-MAPP tool was successfully developed and validated using the IDEAS framework.
- The tool provides a structured approach for remote pediatric nutrition assessments.
- High agreement with expert assessment indicates the tool's utility in guiding follow-up and care decisions.
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