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

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 co...

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Autores principales: Gupta, Kamaldeep, Roy, Sharmistha, Poonia, Ramesh Chandra, Nayak, Soumya Ranjan, Kumar, Raghvendra, Alzahrani, Khalid J., Alnfiai, Mrim M., Al-Wesabi, Fahd N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775296/
https://www.ncbi.nlm.nih.gov/pubmed/35052167
http://dx.doi.org/10.3390/healthcare10010004
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author Gupta, Kamaldeep
Roy, Sharmistha
Poonia, Ramesh Chandra
Nayak, Soumya Ranjan
Kumar, Raghvendra
Alzahrani, Khalid J.
Alnfiai, Mrim M.
Al-Wesabi, Fahd N.
author_facet Gupta, Kamaldeep
Roy, Sharmistha
Poonia, Ramesh Chandra
Nayak, Soumya Ranjan
Kumar, Raghvendra
Alzahrani, Khalid J.
Alnfiai, Mrim M.
Al-Wesabi, Fahd N.
author_sort Gupta, Kamaldeep
collection PubMed
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. 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.
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spelling pubmed-87752962022-01-21 Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods Gupta, Kamaldeep Roy, Sharmistha Poonia, Ramesh Chandra Nayak, Soumya Ranjan Kumar, Raghvendra Alzahrani, Khalid J. Alnfiai, Mrim M. Al-Wesabi, Fahd N. Healthcare (Basel) Article 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. MDPI 2021-12-21 /pmc/articles/PMC8775296/ /pubmed/35052167 http://dx.doi.org/10.3390/healthcare10010004 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gupta, Kamaldeep
Roy, Sharmistha
Poonia, Ramesh Chandra
Nayak, Soumya Ranjan
Kumar, Raghvendra
Alzahrani, Khalid J.
Alnfiai, Mrim M.
Al-Wesabi, Fahd N.
Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods
title Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods
title_full Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods
title_fullStr Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods
title_full_unstemmed Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods
title_short Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods
title_sort evaluating the usability of mhealth applications on type 2 diabetes mellitus using various mcdm methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775296/
https://www.ncbi.nlm.nih.gov/pubmed/35052167
http://dx.doi.org/10.3390/healthcare10010004
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