Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods

Healthcare

Soumya Ranjan Nayak¹  Khalid J. Alzahrani²  Raghvendra Kumar³  Ramesh Chandra Poonia⁴  Fahd N. Al-Wesabi⁵  Mrim M. Alnfiai⁶  Kamaldeep Gupta⁷  Sharmistha Roy⁷ 

[1] Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida 201301, India;Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia;Department of Computer Science and Engineering, GIET University, Rayagada 765022, India;Department of Computer Science, CHRIST (Deemed to Be University), Bangalore 560029, India;Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Abha 61421, Saudi Arabia;Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia;Faculty of Computing and Information Technology, Usha Martin University, Ranchi 835103, India;

关键词: T2DM;    mHealth applications;    critic;    usability score;   

DOI  :  10.3390/healthcare10010004

来源: DOAJ

【 摘 要 】

The recent developments in the IT world have brought several changes in the medical industry. This research work focuses on few mHealth applications that work on the management of type 2 diabetes mellitus (T2DM) by the patients on their own. Looking into the present doctor-to-patient ratio in our country (1:1700 as per a Times of India report in 2021), it is very essential to develop self-management mHealth applications. Thus, there is a need to ensure simple and user-friendly mHealth applications to improve customer satisfaction. The goal of this study is to assess and appraise the usability and effectiveness of existing T2DM-focused mHealth applications. TOPSIS, VIKOR, and PROMETHEE II are three multi-criteria decision-making (MCDM) approaches considered in the proposed work for the evaluation of the usability of five existing T2DM mHealth applications, which include Glucose Buddy, mySugr, Diabetes: M, Blood Glucose Tracker, and OneTouch Reveal. The methodology used in the research work is a questionnaire-based evaluation that focuses on certain attributes and sub-attributes, identified based on the features of mHealth applications. CRITIC methodology is used for obtaining the attribute weights, which give the priority of the attributes. The resulting analysis signifies our proposed research by ranking the mHealth applications based on usability and customer satisfaction.

【 授权许可】

Unknown