Effectiveness of Technology Application in Health Service System to Improve the Quality of Life of Elderly People with Chronic Disease
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The rapid advancement of technology has significantly transformed healthcare services, particularly in improving the quality of life for elderly individuals with chronic diseases. However, the effectiveness of these technologies depends on the digital literacy of users, which remains low among the elderly. This study employed a qualitative case study approach to evaluate the effectiveness of technology applications at Keputih Community Health Center in Surabaya, Indonesia, and to analyze the digital literacy of elderly chronic disease patients. Data were collected through semi-structured interviews with six elderly informants, observations, and secondary health data from Electronic Health Records (EHR), Non-Communicable Disease Information System (SPTM), and ECLAIM Primary Care applications. The findings reveal two main results: first, elderly patients face significant barriers in digital skills (downloading apps, uploading files, searching for information) and digital safety (controlling privacy settings, identifying malware, creating secure passwords), requiring assistance from family members or health cadres. Second, despite these barriers, elderly hypertension patients demonstrated higher treatment adherence and better blood pressure control compared to productive-age patients. The implications suggest that while digital health applications benefit chronic disease management, they must be accompanied by tailored digital literacy training and family-based assistance to maximize their effectiveness for elderly populations. The study contributes to the literature on digital health equity and elderly care in low-resource settings.
(Kominfo), K. K. dan I. (2022). Report Survey Literasi Digital Indonesia 2022. Kominfo.
Apolinário-Hagen, J., Vehreschild, V., & Alkoudmani, R. M. (2017). Current views and perspectives on e-mental health: An exploratory survey study for understanding public attitudes toward internet-based psychotherapy in Germany. JMIR Mental Health, 4(1), e8. https://doi.org/10.2196/mental.6375
Bofe, G. C. J., & Adam, A. (2024). Penerapan pelayanan kesehatan berbasis aplikasi oleh Dinas Kesehatan melalui telaah paradigma konstruktivisme. Jurnal Kesehatan Dan Kedokteran, 3(2), 1–6.
Chen, Y., & Xu, Q. (2022). The willingness to use mobile health and its influencing factors among elderly patients with chronic heart failure in Shanghai, China. International Journal of Medical Informatics, 158, 104656. https://doi.org/10.1016/j.ijmedinf.2021.104656
Fascia, M., Koseda, E., & McIntosh, B. (2023). Healthcare technology and innovation management methods: Theoretical interpretation. In M. Al Mubarak & A. Hamdan (Eds.), Technological Sustainability and Business Competitive Advantage (pp. 345–360). Springer.
Hakim, K., & Genep Sukendro, G. (2022). Komparasi literasi informasi generasi Baby Boomers dan generasi X (studi pada pengguna grup Whatsapp). Koneksi, 6(1).
Hou, C., Carter, B., Hewitt, J., Francisa, T., & Mayor, S. (2016). Do mobile phone applications improve glycemic control (HbA1c) in the self-management of diabetes? A systematic review, meta-analysis, and GRADE of 14 randomized trials. Diabetes Care, 39(11), 2089–2095. https://doi.org/10.2337/dc16-0346
Jasmine, N., & Harmawan, B. N. (2025). Efektivitas implementasi e-health di Puskesmas Kedungdoro dan Puskesmas Keputih Surabaya. Jurnal Ilmiah Tata Sejuta STIA Mataram, 11(1), 17–37.
Kebede, M., Ozolins, L. L., Gustafsson, S., & Sperl-Hillen, J. (2021). What features do patients value in digital health interventions for hypertension self-management? A mixed-methods study. BMC Medical Informatics and Decision Making, 21(1), 254. https://doi.org/10.1186/s12911-021-01614-5
Kurniasih, H., Purnanti, K. D., & Atmajaya, R. (2022). Pengembangan sistem informasi penyakit tidak menular (PTM) berbasis teknologi informasi. Jurnal Teknoinfo, 16(1), 60.
Maghfiroh, L. (2019). Pemberian family support terhadap perilaku pengendalian hipertensi pada lansia di wilayah kerja Puskesmas Keputih Surabaya. Universitas Muhammadiyah Surabaya.
Marcolino, M. S., Oliveira, J. A. Q., D’Agostino, M., Ribeiro, A. L., Alkmim, M. B. M., & Novillo-Ortiz, D. (2018). The impact of mHealth interventions: Systematic review of systematic reviews. JMIR MHealth and UHealth, 6(1), e23. https://doi.org/10.2196/mhealth.8873
Milani, R. V, Bober, R. M., & Lavie, C. J. (2016). The role of technology in chronic disease care. Progress in Cardiovascular Diseases, 58(6), 579–583. https://doi.org/10.1016/j.pcad.2016.01.001
Nisa, U., Nisak, C. L. C., & Fatia, D. (2023). Literasi digital lansia pada aspek digital skill dan digital safety. Jurnal Komunikasi Global, 12(1), 143–167.
Paré, G., Moqadem, K., Pineau, G., & St-Hilaire, C. (2010). Clinical effects of home telemonitoring in the context of diabetes, asthma, heart failure and hypertension: A systematic review. Journal of Medical Internet Research, 12(2), e21. https://doi.org/10.2196/jmir.1376
Polak, S., Sillevis Smitt, M., Jacobs, A., van Leeuwen, C., Doyle, J., Cullen-Smith, S., Braun, V., & de Witte, L. (2025). A user typology for digital health self-management technologies: A qualitative study of the long-term user experiences of older adults with a digital self-management platform for multimorbidity (ProACT). Journal of Healthcare Informatics Research, 1–20.
Purba, N. F., Annisa, F. S., Syafitri, A., & Purba, S. H. (2024). Pemanfaatan teknologi digital dalam pelayanan kesehatan publik: Sebuah tinjauan analisis kebijakan. Jurnal Kesehatan Unggul Gemilang, 8(6).
Sun, T., Ding, Z., Xie, H., Chen, X., Wang, Y., & Li, Y. (2025). Pathways to usage intention of mobile health apps among hypertensive patients: A fuzzy-set qualitative comparative analysis. Health Informatics Journal, 31(1), 14604582251315600.
Theofilou, P. (2022). Associated factors with adherence level of elderly patients with hypertension to the prescribed medication. The Open Public Health Journal, 15(1).
Ye, Q., Deng, Z., Chen, Y., Ren, J., You, S., & Liao, J. (2021). How resource scarcity and accessibility affect patients’ usage of mobile health: The role of facilitating conditions, self-efficacy, and age. JMIR MHealth and UHealth, 9(6), e23467. https://doi.org/10.2196/23467
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