ArticleInternational journal of environmental research and public health2022
Usability Evaluation and Classification of mHealth Applications for Type 2 Diabetes Mellitus Using MARS and ID3 Algorithm.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mobile health apps for cardiovascular risk assessment: a systematic review.Frontiers in cardiovascular medicine · 2024Pooled it
- Mobile applications available in Saudi Arabia for the management of Primary Dysmenorrhea: A quality review and content analysis.PloS one · 2025Article
- Quality Evaluating Mobile Health Apps for Oral Hygiene Management Using the Mobile Application Rating Scale (MARS): A Systematic Review of Smartphone App Markets.Medical journal of the Islamic Republic of Iran · 2025Review
- Quality Assessment of Smartphone Medication Management Apps in France: Systematic Search.JMIR mHealth and uHealth · 2024Article
- Mobile applications in the Philippines during the COVID-19 pandemic: systematic search, use case mapping, and quality assessment using the Mobile App Rating Scale (MARS).BMC digital health · 2023Article
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Authors and funding
6 authors.
Funding
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Abstract
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.
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