Development of an Android-based Stroke Prevention Application
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Stroke remains a significant public health problem in Indonesia, with a prevalence of 8.3 per 1,000 population and a significant contribution to disability and mortality. Limited community health literacy and underutilization of digital health media indicate the need for accessible technology-based stroke prevention interventions. This study aimed to develop and validate a community-oriented Android-based application for stroke prevention using an ADDIE-based Research and Development framework. This study contributes a validated mobile health intervention for community stroke prevention and a replicable development model adaptable to other non-communicable disease prevention programs. The development process included application design, feature and database construction, internal testing, expert validation, and small-group usability testing. experts. Media validation involved three instructional technology experts. A small-group usability test was conducted with 15 adult community members in Banjar Regency, selected through convenience sampling. Data were analyzed using descriptive statistics and feasibility classification. The application obtained a mean score of 4.7 from material experts and 4.9 from media experts, indicating a “Highly Feasible” classification. Usability testing showed an overall mean score of 16.8 out of 20, reflecting strong user acceptance. This study is limited by its small sample size and short-term evaluation without behavioral or clinical outcome assessment. Nevertheless, the application shows potential as a digital health education tool to improve stroke prevention literacy and support community-based prevention programs and national digital health strategies.
[1] Kementerian Kesehatan Republik Indonesia, “Laporan Nasional Riset Kesehatan Dasar,” Kemenkes RI, Jakarta, 2018. [Online]. Available: http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf
[2] K. K. R. Indonesia, “Profil Kesehatan Indonesia 2022,” Kemenkes RI, Jakarta, 2023.
[3] W. H. Organization, “Stroke: Key Facts and Global Burden 2023,” WHO, Geneva, 2023.
[4] A. Maulida, A. Nugroho, and R. Rahmawati, “Prevalence and determinants of stroke among Indonesian adults: Analysis of national health survey data,” BMC Public Health, vol. 21, no. 1, pp. 1–10, 2021.
[5] R. Suhadi, A. Wicaksana, and H. Arifin, “Public awareness and prevention behavior of stroke in rural Indonesian communities: A cross-sectional study,” Int J Public Health Sci, vol. 11, no. 4, pp. 1469–1478, 2022.
[6] F. Akbar, S. Rahmayanti, and W. Lestari, “Health literacy and noncommunicable disease prevention behaviors in South Kalimantan: Implications for stroke prevention programs,” J Kedokteran Komunitas, vol. 9, no. 2, pp. 75–82, 2021.
[7] S. Liu, M. Zhang, and Q. He, “Mobile health interventions for chronic disease prevention: A systematic review,” JMIR MHealth UHealth, vol. 8, no. 8, p. e16231, 2020.
[8] R. Nouri, S. Razzavi, and A. Kazemi, “Effectiveness of mobile health applications on health behavior change: A meta-analysis,” Health Informatics J, vol. 29, pp. 1–15, 2023.
[9] A. Widodo, D. Santoso, and N. Fitria, “User engagement and effectiveness of Android-based health education applications in Indonesia: A systematic review,” Inform Health Soc Care, vol. 47, no. 2, pp. 148–160, 2022.
[10] Y. Chen, Z. Zhou, and Q. Han, “Digital health in the Fifth Industrial Revolution: Human–technology integration for personalized healthcare,” Digit Health, vol. 10, pp. 1–16, 2024.
[11] A. Nurdiana, A. Setyawan, and H. Prasetyo, “Feasibility and usability testing of mobile applications for noncommunicable disease prevention in Indonesia: A mixed-methods study,” BMC Med Inform Decis Mak, vol. 23, no. 1, p. 112, 2023.
[12] R. Takahashi, R. Oyama, and A. Kobayashi, “Systematic development and validation of a stroke education app for community-based prevention: A quasi-experimental study,” Front Public Health, vol. 9, p. 645827, 2021.
[13] S. R. Stoyanov, L. Hides, and D. J. Kavanagh, “Mobile app rating and development frameworks for health behavior change: Updated perspectives,” JMIR MHealth UHealth, vol. 8, no. 3, p. e17577, 2020.
[14] M. S. B. Yusoff, “ABC of Content Validation and Content Validity Index,” Education in Medicine Journal, vol. 11, no. 2, pp. 49–54, 2019.
[15] J. W. Boland and E. G. Boland, “Pharmacological therapies for opioid induced constipation in adults with cancer,” BMJ (Online), vol. 358, 2017, doi: 10.1136/BMJ.J3313.
[16] T. J. Noorbergen and I. von Petersdorff, “Using co-design in mobile health systems development: contextualised guidance and common challenges,” JMIR MHealth, 2021.
[17] M. Flaucher et al., “Perception and Evaluation of a Knowledge Transfer Concept in a Digital Health Application for Patients With Heart Failure: Mixed Methods Study,” JMIR Hum Factors, vol. 12, 2025, doi: 10.2196/56798.
[18] C. F. Inayah, R. I. M. Mandasari, and I. Azimi, “A User-Centered Approach to Regulatory Compliance in Data Management: Designing Intuitive Assessment Tools for Personal Data Protection,” in Proceedings - 2025 IEEE International Conference on Artificial Intelligence for Learning and Optimization, ICoAILO 2025, 2025, pp. 48–54. doi: 10.1109/icoailo66760.2025.11156088.
[19] M. Alam, J. M. S. U. I. Smaron, M. T. Islam, N. Halder, A. Islam, and M. A. Amin, “User-Centered Design and Evaluation of a Mobile Mental Health App for Stress Management and Relaxation,” in 2025 5th International Conference on Emerging Smart Technologies and Applications, eSmarTA 2025, 2025. doi: 10.1109/eSmarTA66764.2025.11132226.
[20] R. Agudelo, J. Granados, M. Ceballos, and J. A. Pereañez, “Design and development of a mobile application for drug information and other health data for users and patients of pharmacies and outpatient pharmaceutical services,” Exploratory Research in Clinical and Social Pharmacy, vol. 20, p. 100661, 2025, doi: 10.1016/j.rcsop.2025.100661.
[21] B. Çeken and N. Taşkın, “Examination of Multimedia Learning Principles in Augmented Reality and Virtual Reality Learning Environments,” J Comput Assist Learn, vol. 41, no. 1, 2025, doi: 10.1111/jcal.13097.
[22] Y. B. Rajabalee, “Aligning interactive multimedia development practices with Mayer’s split-attention effect principle,” in Implementing Rapid E-Learning Through Interactive Materials Development, 2023, pp. 11–26. doi: 10.4018/978-1-6684-4940-0.ch002.
[23] A. Antonietti, A. Cancer, R. A. Fabio, P. Iannello, and E. Zugno, “Multimedia Learning in ADHD Students,” in Attention-Deficit Hyperactivity Disorder: Diagnosis, Prevalence and Treatment, 2021, pp. 71–95. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109466408&partnerID=40&md5=fa12eba0787cfe0d401ac29de17cab1c
[24] R. N. Soicher and K. A. Becker-Blease, “Testing the segmentation effect of multimedia learning in a biological system,” J Comput Assist Learn, vol. 36, no. 6, pp. 825–837, 2020, doi: 10.1111/jcal.12485.
[25] A. Arsyad, Media Pembelajaran. Jakarta: Raja Grafindo Persada, 2021.
[26] S. R. Stoyanov, L. Hides, D. J. Kavanagh, and H. Wilson, “Development and Validation of the Mobile Application Rating Scale (MARS),” JMIR MHealth UHealth, vol. 4, no. 1, 2016.
[27] W. Lestari, A. Pradana, and S. Rahayu, “Pengembangan media edukasi digital untuk peningkatan literasi kesehatan masyarakat,” J Teknologi Kesehatan Indonesia, vol. 14, no. 2, pp. 112–120, 2022.
[28] V. L. Feigin et al., “World Stroke Organization (WSO): Global Stroke Fact Sheet 2022,” International Journal of Stroke, vol. 17, no. 1, pp. 18–29, 2022, doi: 10.1177/17474930211065917.
[29] A. H. Association, “Guidelines for the Primary Prevention of Stroke,” Stroke, vol. 52, no. 3, 2021.
[30] A. Developers, “Build offline-first apps: app architecture and data layer guidance,” Google Developers, 2025.
[31] R. Rezaee, “Critical criteria and countermeasures for mobile health application security and privacy: development and validation of an assessment tool,” JMIR MHealth UHealth, vol. 11, no. 5, 2023.
[32] M. Hyzy, M. Grabowska, D. Szcześniak, and J. Rymaszewska, “System Usability Scale Benchmarking for Digital Health Apps,” JMIR MHealth UHealth, vol. 10, no. 2, 2022.
[33] V. L. Feigin et al., “World Stroke Organization: Global Stroke Fact Sheet 2025,” International Journal of Stroke, vol. 20, no. 2, pp. 132–144, 2025, doi: 10.1177/17474930241308142.
Copyright (c) 2025 Khairir Rizani, Norlaila Sofia, Ferry Fadli Fratama, M. Rizki Imanuddin (Author)

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