Design and simulation-based testing of a mobile application for self-care management in type 2 diabetes mellitus and prediabetes

Book chapter


Rahmanti, A., Syahra, S., Fuad, A., Prakosa, H., Candra, Baros, W., Manurung, K., Siregar, D., Hendrawan, D., Budiman, A., Jelita, C., Hakim, M. and Sanjaya, G. 2025. Design and simulation-based testing of a mobile application for self-care management in type 2 diabetes mellitus and prediabetes. in: Househ, M.S., Tariq, Z.U.A., Al-Zubaidi, M., Shah, U. and Huesing, E. (ed.) MEDINFO 2025 — Healthcare Smart × Medicine Deep IOS Press. pp. 1327-1331
Chapter titleDesign and simulation-based testing of a mobile application for self-care management in type 2 diabetes mellitus and prediabetes
AuthorsRahmanti, A., Syahra, S., Fuad, A., Prakosa, H., Candra, Baros, W., Manurung, K., Siregar, D., Hendrawan, D., Budiman, A., Jelita, C., Hakim, M. and Sanjaya, G.
Abstract

Mobile health applications are increasingly recognized as valuable tools for supporting self-care management among individuals with type 2 diabetes mellitus (T2DM) and prediabetes. This study explores the development and testing of NusaCare, a mobile app designed to assist patients through lifestyle tracking, education, and personalized interventions. Using a co-design approach, the process began with desk reviews and focus group discussions to gather initial insights. A pre-simulation phase followed, during which prototypes were tested and refined. The final prototype was evaluated in a simulation involving 61 participants, revealing that the challenges feature (70%) and food tracking (42.86%) were the most frequently used features. Post-intervention feedback highlighted the app’s usability and its potential to enhance self-care behaviors. This study emphasizes the importance of engaging users in co-design processes to develop effective mobile health interventions for managing prediabetes and T2DM.

KeywordsMobile health; self-care management; type 2 diabetes; prediabetes; co- design
Sustainable Development Goals3 Good health and well-being
Middlesex University ThemeHealth & Wellbeing
Page range1327-1331
Book titleMEDINFO 2025 — Healthcare Smart × Medicine Deep
EditorsHouseh, M.S., Tariq, Z.U.A., Al-Zubaidi, M., Shah, U. and Huesing, E.
PublisherIOS Press
SeriesStudies in Health Technology and Informatics
ISBN
Electronic9781643686080
Publication dates
Print07 Aug 2025
Publication process dates
Accepted2025
Deposited11 Nov 2025
Output statusPublished
Publisher's version
License
File Access Level
Open
Copyright Statement

This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).

Digital Object Identifier (DOI)https://doi.org/10.3233/SHTI251054
Permalink -

https://repository.mdx.ac.uk/item/2yvzx1

Download files


Publisher's version
SHTI-329-SHTI251054.pdf
License: CC BY-NC 4.0
File access level: Open

  • 111
    total views
  • 43
    total downloads
  • 1
    views this month
  • 0
    downloads this month

Export as

Related outputs

Prediction of early functional outcome after acute ischemic stroke using real-world clinical data in Vietnam and Indonesia: retrospective cohort study
Rahmanti, A., Lazuardi, L., Tran, C.M., Wulandari, H., Putri, I.A.A., Hati, F.N.A.N., Ton, M.D. and Nguyen, H.X. 2026. Prediction of early functional outcome after acute ischemic stroke using real-world clinical data in Vietnam and Indonesia: retrospective cohort study. Giacomini, M., Delgado, J., Arvanitis, T.N., Andrikopoulou, E., Benis, A., Balestra, G., Bellazzi, R., Gallos, P., Gatta, R., Giacobbe, D.R., Giordano, N., Hägglund, M., Lindsköld, L., Lhotska, L., Marceglia, S., Parimbelli, E., Sacchi, L., Soda, P., Stoicu-Tivadar, L., Veltri, P. and Vizza, P. (ed.) 36th Medical Informatics Europe Conference. Genoa, Italy 25 - 28 May 2026 IOS Press. pp. 218-222 https://doi.org/10.3233/SHTI260140
Machine learning applications within the earlier medicine framework for stroke: a scoping review
Putri, I.A.A., Rahmanti, A., Sanjaya, G.Y., Wulandari, H., Lazuardi, L. and Nguyen, H.X. 2026. Machine learning applications within the earlier medicine framework for stroke: a scoping review. Giacomini, M., Delgado, J., Arvanitis, T.N., Andrikopoulou, E., Benis, A., Balestra, G., Bellazzi, R., Gallos, P., Gatta, R., Giacobbe, D.R., Giordano, N., Hägglund, M., Lindsköld, L., Lhotska, L., Marceglia, S., Parimbelli, E., Sacchi, L., Soda, P., Stoicu-Tivadar, L., Veltri, P. and Vizza, P. (ed.) 36th Medical Informatics Europe Conference. Genoa, Italy 25 - 28 May 2026 IOS Press. pp. 358-362 https://doi.org/10.3233/SHTI260177
Neural radiance field based 3D view reconstruction for gastrointestinal tract surgery planning
Gao, X., Rahmanti, A. and Braden, B. 2026. Neural radiance field based 3D view reconstruction for gastrointestinal tract surgery planning. SN Computer Science. 7. https://doi.org/10.1007/s42979-026-05142-x
Association between long-term use of H2 receptor antagonists and prostate cancer risk: a case-control study in Taiwan
Wang, S.-F., Liu, Y.-C., Nguyen, P.-A., Lin, G.-L., Huang, C.-W., Rahmanti, A.R. and Yang, H.-C. 2026. Association between long-term use of H2 receptor antagonists and prostate cancer risk: a case-control study in Taiwan. Journal of Cancer. 17 (2), pp. 419-426. https://doi.org/10.7150/jca.125694
Comparative assessment of ChatGPT, DeepSeek, and human reviewers for full-text screening in systematic reviews on the impact of air pollution in respiratory diseases
Manullang, A., Gao, X., Viavattene, C. and Rahmanti, A.R. 2025. Comparative assessment of ChatGPT, DeepSeek, and human reviewers for full-text screening in systematic reviews on the impact of air pollution in respiratory diseases. Bramer, M. and Stahl, F. (ed.) 45th SGAI International Conference on Artificial Intelligence. Cambridge, UK 16 - 18 Dec 2025 Springer. pp. 478-484 https://doi.org/10.1007/978-3-032-11442-6_39
Validating nonverbal cues for assessing physician empathy in telemedicine: a Delphi study
Rahmanti, A., Yang, H.-C., Huang, C.-W., Huang, C.-T., Lazuardi, L., Lin, C.-W. and Li, Y.-C.J. 2025. Validating nonverbal cues for assessing physician empathy in telemedicine: a Delphi study. Medical Education Online (MEO). 30 (1). https://doi.org/10.1080/10872981.2025.2497328
Impact of large language model (ChatGPT) in healthcare: an umbrella review and evidence synthesis
Iqbal, U., Tanweer, A., Rahmanti, A., Greenfield, D., Lee, L.T.-J. and Li, Y.-C.J. 2025. Impact of large language model (ChatGPT) in healthcare: an umbrella review and evidence synthesis. Journal of Biomedical Science. 32. https://doi.org/10.1186/s12929-025-01131-z
3D view reconstruction from endoscopic videos for gastrointestinal tract surgery planning
Gao, X., Rahmanti, A. and Braden, B. 2025. 3D view reconstruction from endoscopic videos for gastrointestinal tract surgery planning. Kim, J., Conceição, R., Yousef, M., Bhavsar, A., Pelayo, S., Fred, A. and Gamboa, H. (ed.) 18th International Joint Conference on Biomedical Engineering Systems and Technologies. Porto, Portugal 20 - 22 Feb 2025 SCITEPRESS - Science and Technology Publications. pp. 221-228 https://doi.org/10.5220/0013125000003911