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Journal of Statistics and Management Systems cover

Journal of Statistics and Management Systems

(Since 1998)
Open Access ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510
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The Journal of Statistics and Management Systems (JSMS) is a world leading journal publishing high quality, rigorously peer-reviewed original research on theoretical and applied statistics and management systems since 1998. The scope is intentionally broad, but papers must make a novel contribution to the field to be considered for publication. Topics include, but are not limited to, the following: • Statistics • Applied Statistics • Industrial Statistics • Statistical Inference • Interdisciplinary role of Statistics • Actuarial Sciences • Decision Sciences • Managerial Aspects • Management Sciences • Management Information Systems

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Journal of Statistics and Management Systems
Open Access Research Article

Optimizing telemedicine selection for type 1 diabetes care : A hybrid CRITIC-WASPAS approach

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pp. 1–31Online FirstJune 2026DOI: 10.47974/JSMS-1617XML
Received:
01 Sep 2025
Published Online:
20 Jun 2026
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1617
Pages:
1–31

Abstract

Telemedicine has been a promising scheme that can help solve the problems of affordability and access in managing long term diseases like type 1 diabetes in healthcare. This study employs the CRITIC and WASPAS methodologies to perform a multi criteria usability assessment for telemedicine applications of type 1 diabetes. It also examines how telemedicine is currently used to treat diabetes and how important mHealth technology and virtual coaching are in improving patient results. In addition, the study demonstrates the merit of multi criteria decision making procedures in selecting the most acceptable telemedicine applications for managing type 1 diabetes by ranking the top five applications using ten evaluation criteria. The study also demonstrates the weakness of the conventional usability evaluation techniques and how the multi criteria decision making (MCDM) methods provide a more methodical and objective way. It uses triangular fuzzy numbers and linguistic variables to improve the quality of the decision making, and uses the expert opinion to define the beneficial and non- beneficial criteria. Out of five evaluated apps, Glooko achieved the highest WASPAS score of 5.32, while MySugr recorded the lowest at 0.87, highlighting a 143.73 % performance gap between the best and worst options. The data on telemedicine usability scores helps developers, healthcare providers and regulators rank telemedicine applications with data driven recommendations on how to improve telemedicine adoption and patient outcomes.

Keywords

UsabilityT1DM telemedicine applicationsCRITICWASPASUsability score

Subject Classifications

90C2990B5003E7292C50

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