User-Centered Usability Evaluation of the DiaCare App for Diabetes Self-Management: A uMARS Analysis
DOI:
https://doi.org/10.54133/ajms.v7i2.1499Keywords:
DiaCare app, Customization, Diabetes management, Mobile health, Usability, User experienceAbstract
Background: Diabetes mellitus (DM) is a common illness that requires appropriate self-management for the best health outcomes. Mobile health (mHealth) apps, such as DiaCare, can improve management of DM. However, usability issues must be solved to ensure long-term user involvement and effectiveness. Objective: To assess the usability of the DiaCare app for DM management using quantitative and qualitative approaches. Methods: A total of 100 participants took part, including fifty Type 2 diabetes (T2DM) patients and fifty healthy subjects. Data were gathered using the uMARS tool, which evaluated six domains: interaction, performance, visual appeal, information quality, perceived impact, and subjective evaluation. Results: Healthy subjects demonstrated superior ratings in all domains except perceived impact. The qualitative analysis showed the importance of a personalized, interactive app for DM control. Conclusions: While DiaCare provides benefits, more customization is required to suit the demands of T2DM patients, particularly in terms of personalization and navigation. Future research should focus on social interaction aspects to improve user assistance.
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References
International Diabetes Federation. International Diabetes Federation, (10th ed.), Vol. 102, Diabetes Research and Clinical Practice. IDF Diabetes Atlas 2021;2021:147–148.
Amerzadeh M, Shafiei Kisomi Z, Senmar M, Khatooni M, Hosseinkhani Z, Bahrami M. Self-care behaviors, medication adherence status, and associated factors among elderly individuals with type 2 diabetes. Sci Rep. 2024;14(1):1–9. doi: 10.1038/s41598-024-70000-w. DOI: https://doi.org/10.1038/s41598-024-70000-w
Shrivastava TP, Goswami S, Gupta R, Goyal RK. Mobile App interventions to improve medication adherence among type 2 diabetes mellitus patients: A systematic review of clinical trials. J Diabetes Sci Technol. 2023;17(2):458–466. doi: 10.1177/19322968211060060. DOI: https://doi.org/10.1177/19322968211060060
Yapislar H, Gurler EB. Management of microcomplications of diabetes mellitus: Challenges, current trends, and future perspectives in treatment. Biomedicines. 2024;12(9):1958. doi: 10.3390/biomedicines12091958. DOI: https://doi.org/10.3390/biomedicines12091958
Liaqat M, Mushtaq M, Jamil A, Mushtaq MM, Ali H, Anwar R, et al. Mobile health interventions: A frontier for mitigating the global burden of cardiovascular disease. Cureus. 2024;16(6). doi: 10.7759/cureus.62157. DOI: https://doi.org/10.7759/cureus.62157
Chen J, Liu Z, Huang X, Wu C, Liu Q, Jiang G, et al. When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web. 2024;27(4):1–45. doi: 10.48550/arXiv.2307.16376. DOI: https://doi.org/10.1007/s11280-024-01276-1
Deniz-Garcia A, Fabelo H, Rodriguez-Almeida AJ, Zamora-Zamorano G, Castro-Fernandez M, del Pino Alberiche Ruano M, et al. Quality, usability, and effectiveness of mHealth Apps and the role of artificial intelligence: Current scenario and challenges. J Med Internet Res. 2023;25. doi: 10.2196/44030. DOI: https://doi.org/10.2196/44030
Stoyanov SR, Hides L, Kavanagh DJ, Wilson H. Development and validation of the user version of the mobile application rating scale (uMARS). JMIR Mhealth Uhealth. 2016;4(2):1–5. doi: 10.2196/mhealth.5849. DOI: https://doi.org/10.2196/mhealth.5849
Braun V, Clarke V. Reflecting on reflexive thematic analysis. Qual Res Sport Exerc Health. 2019;11(4):589–597. doi: 10.1080/2159676X.2019.1628806 DOI: https://doi.org/10.1080/2159676X.2019.1628806
Wang W, Grundy J, Khalajzadeh H, Madugalla A, Obie HO. Designing adaptive user interfaces for mHealth applications targeting chronic disease: A User-centric approach. ACM Trans Softw Eng Methodol. 2024;1(1). doi: 10.48550/arXiv.2405.08302.
Yoon S, Tang H, Tan CM, Phang JK, Heng Y. Acceptability of mobile App-based motivational interviewing and preferences for App features to support self-management in patients with type 2 diabetes: Qualitative study. JMIR Diabetes. 2024;9:1-13. doi: 10.2196/48310. DOI: https://doi.org/10.2196/48310
Giebelmann K. Customization in eHealth interventions. A possibility for patients with chronic illnesses, overcoming technological barriers and promoting user engagement. Master Thesis, University of Twente, July 2020.
Eaton C, Vallejo N, Mcdonald X, Wu J, Rodr R, Muthusamy N, et al. User engagement with mHealth interventions to promote treatment adherence and self-management in people with chronic health conditions: Systematic review. J Med Internet Res. 2024;26:1–32. doi: 10.2196/50508. DOI: https://doi.org/10.2196/50508
Alruwaili MM, Shaban M, Elsayed Ramadan OM. Digital health interventions for promoting healthy aging: A systematic review of adoption patterns, efficacy, and user experience. Sustain. 2023;15(23). doi: 10.3390/su152316503. DOI: https://doi.org/10.3390/su152316503
Kopatich RD, Steciuch CC, Feller DP, Millis K, Siegesmund R. Development and validation of the aesthetic processing preference scale (APPS). Psychol Aesthetics, Creat Arts. 2021;17(5):645–659. doi: 10.1037/aca0000449. DOI: https://doi.org/10.1037/aca0000449
Fu HNC, Wyman JF, Peden-McAlpine CJ, Draucker CB, Schleyer T, Adam TJ. App design features important for diabetes self-management as determined by the self-determination theory on motivation: Content analysis of survey responses from adults requiring insulin therapy. JMIR Diabetes. 2023;8:1–15. doi: 10.2196/38592. DOI: https://doi.org/10.2196/38592
Maqbool B, Herold S. Potential effectiveness and efficiency issues in usability evaluation within digital health: A systematic literature review. J Syst Softw. 2023;111881. doi: 10.1016/j.jss.2023.111881. DOI: https://doi.org/10.1016/j.jss.2023.111881
Yalın-Uçar M, Bağatarhan T, Yakıt G, Ekici MB, Erol A, Kızılaslan HN. Development of the reasoning ways scale: Validity and reliability study. Kalem Uluslararasi Egit ve Insa Bilim Derg. 2024;14(1):129-154. doi: 10.23863/kalem.2023.267 DOI: https://doi.org/10.23863/kalem.2023.267
Hornstein S, Zantvoort K, Lueken U, Funk B, Hilbert K. Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms. Front Digit Heal. 2023;5:1–14. doi: 10.3389/fdgth.2023.1170002. DOI: https://doi.org/10.3389/fdgth.2023.1170002
Korpershoek YJG, Hermsen S, Schoonhoven L, Schuurmans MJ, Trappenburg JCA. User-centered design of a mobile health intervention to enhance exacerbation-related self-management in patients with chronic obstructive pulmonary disease (Copilot): Mixed methods study. J Med Internet Res. 2020;22(6):1–19. doi: 10.2196/15449. DOI: https://doi.org/10.2196/15449
Asimakopoulos S, Asimakopoulos G, Spillers F. Motivation and user engagement in fitness tracking: Heuristics for mobile healthcare wearables. Informatics. 2017;4(1). doi: 10.3390/informatics4010005. DOI: https://doi.org/10.3390/informatics4010005
Dirin A, Nieminen M, Laine TH. Feelings of Being for Mobile User Experience Design. Int J Hum Comput Interact. 2023;39(20):4059–4079. doi: 10.1080/10447318.2022.2108964. DOI: https://doi.org/10.1080/10447318.2022.2108964
Oyebode O, Fowles J, Steeves D, Orji R. Machine learning techniques in adaptive and personalized systems for health and wellness. Int J Hum Comput Interact. 2023;39(9):1938–1962. doi: 10.1080/10447318.2022.2089085. DOI: https://doi.org/10.1080/10447318.2022.2089085
Familoni BT, Odetunde Babatunde S. User experience (Ux) design in medical products: Theoretical foundations and development best practices. Eng Sci Technol J. 2024;5(3):1125–1148. doi: 10.51594/estj.v5i3.975. DOI: https://doi.org/10.51594/estj.v5i3.975
Albayrak T, Rosario González-Rodríguez M, Caber M, Karasakal S. The use of mobile applications for travel booking: Impacts of application quality and brand trust. J Vacat Mark. 2023;29(1):3–21. doi: 10.1177/13567667211066544. DOI: https://doi.org/10.1177/13567667211066544

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