Evaluating the usability of mhealth applications on type 2 diabetes mellitus using various mcdm models
- Title
- Evaluating the usability of mhealth applications on type 2 diabetes mellitus using various mcdm models
- Creator
- Kamaldeep; Roy S.; Poonia R.C.; Nayak S.R.; Kumar R.; Alzahrani K.J.; Alnfiai M.M.; Al?wesabi F.N.
- Description
- 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. TOP? SIS, 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 pri-ority of the attributes. The resulting analysis signifies our proposed research by ranking the mHealth applications based on usability and customer satisfaction. 2021 by the authors. Licensee MDPI, Basel, Switzerland.
- Source
- Healthcare (Switzerland), Vol-10, No. 1
- Date
- 2022-01-01
- Publisher
- MDPI
- Subject
- Critic; MHealth applications; T2DM; Usability score
- Coverage
- Kamaldeep, Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Roy S., Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, 560029, India; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201301, India; Kumar R., Department of Computer Science and Engineering, GIET University, Rayagada, 765022, India; Alzahrani K.J., Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Alnfiai M.M., Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Al?wesabi F.N., Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Abha, 61421, Saudi Arabia, Department of Information Systems, Faculty of Computer and Information Technology, Sanaa University, Sanaa, 1993, Yemen
- Rights
- All Open Access; Gold Open Access; Green Open Access
- Relation
- ISSN: 22279032
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Kamaldeep; Roy S.; Poonia R.C.; Nayak S.R.; Kumar R.; Alzahrani K.J.; Alnfiai M.M.; Al?wesabi F.N., “Evaluating the usability of mhealth applications on type 2 diabetes mellitus using various mcdm models,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/15471.