Digital Intervention for Active Aging: Design of a Web Application for Older Adults

Digital Intervention for Active Aging: Design of a Web Application for Older Adults

Authors

DOI:

https://doi.org/10.5281/zenodo.12548244

Keywords:

Active Aging, Web Application Design, Cognition in Older Adults, Participatory Design, Human-Computer Interaction

Abstract

Population aging is accelerating globally, with the expectation that the number of people over 60 will double by 2050, reaching 2.1 billion. This phenomenon, coupled with increased longevity due to advances in health, education, and declining fertility rates, presents unique challenges and opportunities for society. In this context, designing digital interventions that promote active and healthy aging becomes a priority. This work proposes the initial development of a web application designed to support memory in older adults, applying a holistic approach that integrates knowledge from various disciplines. The application is based on principles of accessibility, usability, and user-centered design, aiming not only to improve cognition but also to provide a tool that facilitates social inclusion and enhances the quality of life for older adults. By focusing on accessibility and inclusive design, this project directly contributes to technological intervention strategies in the field of aging, marking a step forward in the development of solutions that effectively meet the needs of a growing population.

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Author Biographies

Rubén Baena-Navarro, Universidad de Córdoba

Ingeniero de Sistemas, con Maestría en Software Libre y Doctorado en Proyectos. Profesor en la Universidad de Córdoba, Montería, Colombia. Su investigación incluye dispositivos IoT para medir radiación gamma y UV, calidad del agua, hidrógeno verde, modelos educativos STEM y análisis fractal en oncología. Publicaciones recientes: (2024). Implementation and feasibility of green hydrogen in Colombian kitchens. https://doi.org/10.11591/ijeecs.v34.i2.pp726-744; (2024). Challenges in implementing free software in SMEs in Montería. https://doi.org/10.11591/eei.v13i1.6710; (2023). Designing a Framework for IT Appropriation in University Teachers. https://doi.org/10.56294/dm202353

Mario Macea-Anaya, Universidad de Córdoba

Ingeniero de Sistemas de la Universidad Incca de Colombia, con Especialización en Informática y Multimedios de la Fundación Universitaria Los Libertadores, Maestría en Software Libre de la Universidad Autónoma de Bucaramanga, y Doctorado en Ciencias con mención en Gerencia de la Universidad Rafael Belloso Chacín. Profesor en la Universidad de Córdoba, Montería, Colombia. Su investigación se enfoca en la apropiación de tecnologías de la información en docentes universitarios y el desarrollo de aplicaciones móviles educativas. Publicaciones recientes: (2023). Designing a Framework for the Appropriation of Information Technologies in University Teachers. https://doi.org/10.56294/dm202353; (2021). Modelo de desarrollo para la construcción de aplicaciones móviles educativas. https://doi.org/10.22430/22565337.2065

Ober Primera-Correa, Universidad de Córdoba

Ingeniería de Sistemas y Telecomunicaciones, Facultad de Ingeniería, Semillero de Investigación en Software Libre y GNU-Linux, Universidad de Córdoba, Montería – Córdoba.

Juan Pérez-Díaz, Universidad de Córdoba

Ingeniería de Sistemas y Telecomunicaciones, Facultad de Ingeniería, Semillero de Investigación en Software Libre y GNU-Linux, Universidad de Córdoba, Montería – Córdoba.

References

Al-Shorbaji, N. (2022). Improving Healthcare Access through Digital Health: The Use of Information and Communication Technologies. En Healthcare Access. IntechOpen. https://doi.org/10.5772/intechopen.99607

Alonso-Virgós, L., Rodríguez Baena, L., Pascual Espada, J., & González Crespo, R. (2018). Web Page Design Recommendations for People with Down Syndrome Based on Users’ Experiences. Sensors, 18(11), 4047. https://doi.org/10.3390/s18114047

Alzheimer’s Disease International. (2019). World Alzheimer report 2019: Attitudes to dementia. Alzheimer’s Disease International. https://www.alzint.org/resource/world-alzheimer-report-2019/

Baharum, A., Ismail, R., Saad, N., Daruis, D. D. I., Noh, N. A. M., & Noor, N. A. M. (2018). Development of Elderly Reminder Mobile Application Using Mental Model. Proceedings of the 2018 International Conference on Artificial Intelligence and Virtual Reality, 131–136. https://doi.org/10.1145/3293663.3293665

Baptista, A., Postolache, O., Mendes, D., Reis, E., & Nogueira, D. (2022). Memory Training Interface for Elderly based on Mobile APP. 2022 International Conference and Exposition on Electrical and Power Engineering (EPE), 708–713. https://doi.org/10.1109/EPE56121.2022.9959851

Cheng, S.-T. (2016). Cognitive Reserve and the Prevention of Dementia: The Role of Physical and Cognitive Activities. Current Psychiatry Reports, 18(9), 85. https://doi.org/10.1007/s11920-016-0721-2

Cuff, A. (2023). The evolution of digital health and its continuing challenges. BMC Digital Health, 1(1), 3. https://doi.org/10.1186/s44247-022-00004-x

Department of Economic and Social Affairs, U. N. (2019). World population prospects 2019: Highlights. United Nations. United Nations. https://population.un.org/wpp/Publications/Files/WPP2019_Highlights.pdf

Dinius, C. J., Pocknell, C. E., Caffrey, M. P., & Roche, R. A. P. (2023). Cognitive interventions for memory and psychological well-being in aging and dementias. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1070012

Escobar Reynel, J. L., Baena Navarro, R. E., & Yepes Miranda, D. D. (2023). Modelo de desarrollo basado en métricas de usabilidad para la construcción de aplicaciones móviles educativas. Ingeniare. Revista chilena de ingeniería, 31, 0–0. https://doi.org/10.4067/S0718-33052023000100201

Falzarano, F., Siedlecki, K., & Minahan, J. (2020). Investigating the Longitudinal Relationship Between Subjective Cognitive Complaints and Objective Cognition. Innovation in Aging, 4(Supplement_1), 592–593. https://doi.org/10.1093/geroni/igaa057.1988

Hall, C. L., Sanderson, C., Brown, B. J., Andrén, P., Bennett, S., Chamberlain, L. R., Davies, E. B., Khan, K., Kouzoupi, N., Mataix-Cols, D., McKenzie, C., Murphy, T., Townsend, M., Hollis, C., & Murray, E. (2020). Opportunities and challenges of delivering digital clinical trials: lessons learned from a randomised controlled trial of an online behavioural intervention for children and young people. Trials, 21(1), 1011. https://doi.org/10.1186/s13063-020-04902-1

Hamzah, A. A., Shaffiei, Z. A., Hamid, N. H. A., & Aziz, N. (2021). MyAbility: A Web Portal for Students with Challenge based on Web Content Accessibility Guideline 2.0. Annals of Emerging Technologies in Computing, 5(5), 194–200. https://doi.org/10.33166/AETiC.2021.05.024

Infurna, F. J., Gerstorf, D., & Lachman, M. E. (2020). Midlife in the 2020s: Opportunities and challenges. American Psychologist, 75(4), 470–485. https://doi.org/10.1037/amp0000591

Kansal, A. R., Tafazzoli, A., Ishak, K. J., & Krotneva, S. (2018). Alzheimer’s disease Archimedes condition‐event simulator: Development and validation. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 4(1), 76–88. https://doi.org/10.1016/j.trci.2018.01.001

Kurakin, A., & Bredesen, D. E. (2020). Alzheimer’s disease as a systems network disorder: chronic stress/dyshomeostasis, innate immunity, and genetics. Aging, 12(18), 17815–17844. https://doi.org/10.18632/aging.103883

Maruta, C., & Martins, I. P. (2019). May Subjective Language Complaints Predict Future Language Decline in Community-Dwelling Subjects? Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.01974

May, C. R., Cummings, A., Girling, M., Bracher, M., Mair, F. S., May, C. M., Murray, E., Myall, M., Rapley, T., & Finch, T. (2018). Using Normalization Process Theory in feasibility studies and process evaluations of complex healthcare interventions: a systematic review. Implementation Science, 13(1), 80. https://doi.org/10.1186/s13012-018-0758-1

Minary, L., Trompette, J., Kivits, J., Cambon, L., Tarquinio, C., & Alla, F. (2019). Which design to evaluate complex interventions? Toward a methodological framework through a systematic review. BMC Medical Research Methodology, 19(1), 92. https://doi.org/10.1186/s12874-019-0736-6

Nagarajan, N., Assi, L., Varadaraj, V., Motaghi, M., Sun, Y., Couser, E., Ehrlich, J. R., Whitson, H., & Swenor, B. K. (2022). Vision impairment and cognitive decline among older adults: a systematic review. BMJ Open, 12(1), e047929. https://doi.org/10.1136/bmjopen-2020-047929

Nouchi, R., Hu, Q., Saito, T., Kawata, N. Y. dos S., Nouchi, H., & Kawashima, R. (2021). Brain Training and Sulforaphane Intake Interventions Separately Improve Cognitive Performance in Healthy Older Adults, Whereas a Combination of These Interventions Does Not Have More Beneficial Effects: Evidence from a Randomized Controlled Trial. Nutrients, 13(2), 352. https://doi.org/10.3390/nu13020352

Onur Aysevener, E., Direk, N., Onat Özsoydan, E., & Diriöz, M. (2018). Relationship between subjective memory complaints and objective memory impairment in a community-dwelling elderly population. Journal of Clinical Psychiatry, 21(4), 334–340. https://doi.org/10.5505/kpd.2018.95967

Paton, C., Kushniruk, A. W., Borycki, E. M., English, M., & Warren, J. (2021). Improving the Usability and Safety of Digital Health Systems: The Role of Predictive Human-Computer Interaction Modeling. Journal of Medical Internet Research, 23(5), e25281. https://doi.org/10.2196/25281

Pike, K. E., Chong, M. S., Hume, C. H., Keech, B. J., Konjarski, M., Landolt, K. A., Leslie, B. E., Russo, A., Thai, C., Vilsten, J. S., & Kinsella, G. J. (2018). Providing Online Memory Interventions for Older Adults: A Critical Review and Recommendations for Development. Australian Psychologist, 53(5), 367–376. https://doi.org/10.1111/ap.12339

Saparamadu, A. A. D. N. S., Fernando, P., Zeng, P., Teo, H., Goh, A., Lee, J. M. Y., & Lam, C. W. L. (2021). User-Centered Design Process of an mHealth App for Health Professionals: Case Study. JMIR mHealth and uHealth, 9(3), e18079. https://doi.org/10.2196/18079

Sarant, J., Harris, D., Busby, P., Maruff, P., Schembri, A., Lemke, U., & Launer, S. (2020). The Effect of Hearing Aid Use on Cognition in Older Adults: Can We Delay Decline or Even Improve Cognitive Function? Journal of Clinical Medicine, 9(1), 254. https://doi.org/10.3390/jcm9010254

Shah, H. (2023). Harnessing Web Accessibility Tools for WCAG 2.1 Migration of a Design System. 2023 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA), 54–60. https://doi.org/10.1109/CoNTESA61248.2023.10384953

Smart, C. M., Karr, J. E., Areshenkoff, C. N., Rabin, L. A., Hudon, C., Gates, N., Ali, J. I., Arenaza-Urquijo, E. M., Buckley, R. F., Chetelat, G., Hampel, H., Jessen, F., Marchant, N. L., Sikkes, S. A. M., Tales, A., van der Flier, W. M., & Wesselman, L. (2017). Non-Pharmacologic Interventions for Older Adults with Subjective Cognitive Decline: Systematic Review, Meta-Analysis, and Preliminary Recommendations. Neuropsychology Review, 27(3), 245–257. https://doi.org/10.1007/s11065-017-9342-8

Smith, G. E. (2016). Healthy cognitive aging and dementia prevention. American Psychologist, 71(4), 268–275. https://doi.org/10.1037/a0040250

Souza Carneiro, G. de A., & Alves Rocha, M. A. (2019). MIAV: An inclusive method for accessibility assessment by visually impaired people. Proceedings of the International Conferences Interfaces and Human Computer Interaction 2019 Game and Entertainment Technologies 2019 and Computer Graphics, Visualization, Computer Vision and Image Processing 2019, 57–64. https://doi.org/10.33965/ihci2019_201906L008

Tolf, S., Mesterton, J., Söderberg, D., Amer-Wåhlin, I., & Mazzocato, P. (2020). How can technology support quality improvement? Lessons learned from the adoption of an analytics tool for advanced performance measurement in a hospital unit. BMC Health Services Research, 20(1), 816. https://doi.org/10.1186/s12913-020-05622-7

Vázquez, M.-L., Miranda-Mendizabal, A., Eguiguren, P., Mogollón-Pérez, A.-S., Ferreira-de-Medeiros-Mendes, M., López-Vázquez, J., Bertolotto, F., & Vargas, I. (2022). Evaluating the effectiveness of care coordination interventions designed and implemented through a participatory action research process: Lessons learned from a quasi-experimental study in public healthcare networks in Latin America. PLOS ONE, 17(1), e0261604. https://doi.org/10.1371/journal.pone.0261604

Vidal-Durango, J., Baena-Navarro, R., & Therán-Nieto, K. (2024). Implementation and feasibility of green hydrogen in Colombian kitchens: an analysis of innovation and sustainability. Indonesian Journal of Electrical Engineering and Computer Science, 34(2), 726. https://doi.org/10.11591/ijeecs.v34.i2.pp726-744

WHO. (2019). WHO releases first guideline on digital health interventions. https://www.who.int/news/item/17-04-2019-who-releases-first-guideline-on-digital-health-interventions

WHO. (2022). Ageing and health. https://www.who.int/news-room/fact-sheets/detail/ageing-and-health

Yu, C. H., Parsons, J. A., Hall, S., Newton, D., Jovicic, A., Lottridge, D., Shah, B. R., & Straus, S. E. (2014). User-centered design of a web-based self-management site for individuals with type 2 diabetes – providing a sense of control and community. BMC Medical Informatics and Decision Making, 14(1), 60. https://doi.org/10.1186/1472-6947-14-60

Zharima, C., Griffiths, F., & Goudge, J. (2023). Exploring the barriers and facilitators to implementing electronic health records in a middle-income country: a qualitative study from South Africa. Frontiers in Digital Health, 5. https://doi.org/10.3389/fdgth.2023.1207602

Zhunio, C. S., Orellana, P. C., & Patino, A. V. (2020). A Memory Game for Elderly People: Development and Evaluation. 2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG), 248–252. https://doi.org/10.1109/ICEDEG48599.2020.9096862

Published

2024-06-29

How to Cite

Baena-Navarro, R., Macea-Anaya, M., Primera-Correa, O., & Pérez-Díaz, J. (2024). Digital Intervention for Active Aging: Design of a Web Application for Older Adults . Ciencia E Ingeniería (hasta Agosto De 2024), 11(1), e12548244. https://doi.org/10.5281/zenodo.12548244
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