PMID- 35052167 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220128 IS - 2227-9032 (Print) IS - 2227-9032 (Electronic) IS - 2227-9032 (Linking) VI - 10 IP - 1 DP - 2021 Dec 21 TI - Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods. LID - 10.3390/healthcare10010004 [doi] LID - 4 AB - 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. FAU - Gupta, Kamaldeep AU - Gupta K AD - Faculty of Computing and Information Technology, Usha Martin University, Ranchi 835103, India. FAU - Roy, Sharmistha AU - Roy S AD - Faculty of Computing and Information Technology, Usha Martin University, Ranchi 835103, India. FAU - Poonia, Ramesh Chandra AU - Poonia RC AD - Department of Computer Science, CHRIST (Deemed to Be University), Bangalore 560029, India. FAU - Nayak, Soumya Ranjan AU - Nayak SR AUID- ORCID: 0000-0002-4155-884X AD - Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida 201301, India. FAU - Kumar, Raghvendra AU - Kumar R AD - Department of Computer Science and Engineering, GIET University, Rayagada 765022, India. FAU - Alzahrani, Khalid J AU - Alzahrani KJ AUID- ORCID: 0000-0002-6688-0106 AD - Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia. FAU - Alnfiai, Mrim M AU - Alnfiai MM AD - Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia. FAU - Al-Wesabi, Fahd N AU - Al-Wesabi FN AUID- ORCID: 0000-0002-4389-4927 AD - Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Abha 61421, Saudi Arabia. AD - Department of Information Systems, Faculty of Computer and Information Technology, Sana'a University, Sanaa 1993, Yemen. LA - eng GR - TURSP-2020/328/Deanship of Scientific Research, King Saud University, Saudi Arabia/ PT - Journal Article DEP - 20211221 PL - Switzerland TA - Healthcare (Basel) JT - Healthcare (Basel, Switzerland) JID - 101666525 PMC - PMC8775296 OTO - NOTNLM OT - T2DM OT - critic OT - mHealth applications OT - usability score COIS- The authors declare no conflict of interest. EDAT- 2022/01/22 06:00 MHDA- 2022/01/22 06:01 PMCR- 2021/12/21 CRDT- 2022/01/21 01:02 PHST- 2021/12/01 00:00 [received] PHST- 2021/12/19 00:00 [revised] PHST- 2021/12/19 00:00 [accepted] PHST- 2022/01/21 01:02 [entrez] PHST- 2022/01/22 06:00 [pubmed] PHST- 2022/01/22 06:01 [medline] PHST- 2021/12/21 00:00 [pmc-release] AID - healthcare10010004 [pii] AID - healthcare-10-00004 [pii] AID - 10.3390/healthcare10010004 [doi] PST - epublish SO - Healthcare (Basel). 2021 Dec 21;10(1):4. doi: 10.3390/healthcare10010004.