PMID- 35742248
OWN - NLM
STAT- MEDLINE
DCOM- 20220627
LR  - 20220725
IS  - 1660-4601 (Electronic)
IS  - 1661-7827 (Print)
IS  - 1660-4601 (Linking)
VI  - 19
IP  - 12
DP  - 2022 Jun 8
TI  - Usability Evaluation and Classification of mHealth Applications for Type 2 
      Diabetes Mellitus Using MARS and ID3 Algorithm.
LID - 10.3390/ijerph19126999 [doi]
LID - 6999
AB  - The rapid growth of mHealth applications for Type 2 Diabetes Mellitus (T2DM) 
      patients' self-management has motivated the evaluation of these applications from 
      both the usability and user point of view. The objective of this study was to 
      identify mHealth applications that focus on T2DM from the Android store and rate 
      them from the usability perspective using the MARS tool. Additionally, a 
      classification of these mHealth applications was conducted using the ID3 
      algorithm to identify the most preferred application. The usability of the 
      applications was assessed by two experts using MARS. A total of 11 mHealth 
      applications were identified from the initial search, which fulfilled our 
      inclusion criteria. The usability of the applications was rated using the MARS 
      scale, from 1 (inadequate) to 5 (excellent). The Functionality (3.23) and 
      Aesthetics (3.22) attributes had the highest score, whereas Information (3.1) had 
      the lowest score. Among the 11 applications, "mySugr" had the highest average 
      MARS score for both Application Quality (4.1/5) as well as Application Subjective 
      Quality (4.5/5). Moreover, from the classification conducted using the ID3 
      algorithm, it was observed that 6 out of 11 mHealth applications were preferred 
      for the self-management of T2DM.
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 - Altameem, Ayman
AU  - Altameem A
AD  - Department of Computer Science and Engineering, College of Applied Studies and 
      Community Services, King Saud University, Riyadh 11533, Saudi Arabia.
FAU - Kumar, Raghvendra
AU  - Kumar R
AUID- ORCID: 0000-0003-1311-7585
AD  - Department of Computer Science and Engineering, GIET University, Rayagada 765022, 
      India.
FAU - Saudagar, Abdul Khader Jilani
AU  - Saudagar AKJ
AUID- ORCID: 0000-0003-4205-3621
AD  - Information Systems Department, Imam Mohammad Ibn Saud Islamic University 
      (IMSIU), Riyadh 11432, Saudi Arabia.
FAU - Poonia, Ramesh Chandra
AU  - Poonia RC
AUID- ORCID: 0000-0001-8054-2405
AD  - Department of Computer Science, CHRIST (Deemed to be University), Bangalore 
      560029, India.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220608
PL  - Switzerland
TA  - Int J Environ Res Public Health
JT  - International journal of environmental research and public health
JID - 101238455
RN  - 0 (Neoplasm Proteins)
SB  - IM
MH  - Algorithms
MH  - *Diabetes Mellitus, Type 2/therapy
MH  - Humans
MH  - *Mobile Applications
MH  - Neoplasm Proteins
MH  - *Self-Management
MH  - *Telemedicine
PMC - PMC9222518
OTO - NOTNLM
OT  - ID3
OT  - MARS
OT  - T2DM
OT  - decision making
OT  - mHealth applications
OT  - usability
COIS- The authors declare no conflict of interest.
EDAT- 2022/06/25 06:00
MHDA- 2022/06/28 06:00
PMCR- 2022/06/08
CRDT- 2022/06/24 01:16
PHST- 2022/04/23 00:00 [received]
PHST- 2022/05/31 00:00 [revised]
PHST- 2022/06/02 00:00 [accepted]
PHST- 2022/06/24 01:16 [entrez]
PHST- 2022/06/25 06:00 [pubmed]
PHST- 2022/06/28 06:00 [medline]
PHST- 2022/06/08 00:00 [pmc-release]
AID - ijerph19126999 [pii]
AID - ijerph-19-06999 [pii]
AID - 10.3390/ijerph19126999 [doi]
PST - epublish
SO  - Int J Environ Res Public Health. 2022 Jun 8;19(12):6999. doi: 
      10.3390/ijerph19126999.