Identification of the minimum data set to design a mobile-based application on overweight and obesity management for children and adolescents.

Abstract

PURPOSE:

Designing mobile-based applications is one of the tools to raise the awareness of patients and the care team. Aim of this study is to identify the data elements of a mobile-based application to overweight and obesity management for children and adolescents from the experts' point of view.

METHODS:

In this descriptive-analytical article, data collection was conducted through library and Internet research. The research population comprised 30 nutritionists selected via simple sampling method. The research instrument was a questionnaire developed by the researcher in four sections: demographic data, assessment data, therapeutic recommendations and application capabilities. Validity and reliability were confirmed by Content Validity Ratio (CVR) and Delphi method respectively.

RESULTS:

The Minimum Data Set (MDS) required for overweight and obesity management in children and adolescents was designed based on the data from the guidelines of the United States, Canada, Australia, Britain, Iran, and experts' opinions. The importance of this MDS suggested was calculated based on the percentage points given by experts for the demographic data of 100%, the assessment data of 88.33%, the therapeutic recommendations of 97.67%, and the application capabilities of 88.94%.

CONCLUSION:

Identifying prevention and control minimum data set of overweight and obesity in children and adolescents from the point of view of experts will be effective in improving the applications in this field. This MDS has two parts of data elements: the first for recognition of the framework of evaluating and applying therapeutic methods that can empower parents to manage the child's body mass and the second as a patient's personal record for storage a set of data that can be used by nutritionists in visits to healthcare centers.

SUPPLEMENTARY INFORMATION:

The online version contains supplementary material available at 10.1007/s40200-021-00807-1.

• Authors: Elmira Hajizadeh, Leila Shahmoradi, Maryam Mahmoodi, Amir Rakhshan, Reza Nazari, Saeed Barzgari
• Journal: Journal of diabetes and metabolic disorders (J Diabetes Metab Disord) Vol. 20 Issue 1 Pg. 1011-1020 (Jun 2021) ISSN: 2251-6581 [Print] Switzerland
• PMID: 34222096 (Publication Type: Journal Article, Review)
• Copyright: © Springer Nature Switzerland AG 2021.