Skip to main navigation menu Skip to main content Skip to site footer

Enhancing Elderly Care through Health Data Innovation: Developing a Mobile Application for Seniors

Abstract

In an environment where the number of older individuals is increasing, innovative solutions for their independent living and improved quality of life are essential. This study assessed the health status, care needs, and technological features necessary to develop a mobile health application for the ageing population. Using a mixed-methods approach, the study collected quantitative data from 420 elderly respondents through structured questionnaires that covered demographic information, health conditions, and technology usage. Qualitative data were collected from 40 participants through in-depth interviews to gain a deeper understanding of the health experiences of the elderly and their concerns regarding digital interventions. Descriptive statistics were used to analyse the data. The majority of respondents were female (71.4%), with an average age of 69 (61.3%), and reported their health as relatively good. Additionally, 56.8% experienced at least one health problem. Most participants expressed a need for memory training and health information, including basic routine healthcare and self-monitoring of their health. Although these elderly participants sought to engage with technologies, they had usability concerns, which were identified as a key aspect to be addressed. The qualitative information revealed that the development of mobile applications should be designed to 1) monitor daily activities, provide health parameters, and notify the users of emergencies, and 2) connect older individuals to their family members, caregivers, health experts, and the community via a user-friendly interface that prioritises user-centred design and data security. This application not only ensures the safety of the elderly but also enhances their mental well-being.

Keywords

Elderly Care, Mobile Health Application, Health Needs Assessment, Ageing Population, Self-Care, Caregiver Support, Technology Readiness, Thailand

pdf

Author Biography

Auschala Chalayonnavin

Dr Auschala Chalayonnavin has published numerous research articles in TCI and Scopus journals. She has secured more than 10 research funding grants from NGOs, Ministries, and funded by the University. Her research expertise is Human rights, anti-human trafficking policies, disaster management, social policy and social work. She is also an elected member of the core committee of IASSW. Sha has over 10 years of experience teaching social work and social policy courses.  She has participated in more than 15 national and international conferences.

Mahesh Pandurang Chougule

Dr. Mahesh Chougule earned his PhD from Shivaji University, Kolhapur, India. He teaches and conducts research in Social Policy and Development, ASEAN and Social Welfare Policies, and Comparative Welfare States. Dr Mahesh is the founding Editor-in-Chief of the Journal of Social Policy, Social Change and Development (ThaiJo). Dr. Chougule has published 20 research papers in peer-reviewed journals and Scopus Journals; has eight articles in conference proceedings, and three books to his credit. He has also participated in and presented 20 papers at international and national conferences and seminars. Furthermore, he has served as a project investigator on 2 different international projects in ASEAN and Taiwan

 

Sorasich Swangslip

Dr. Sorasich Swangsilp specialises in Thai foreign policy, international affairs and international development. He specifically focuses on the role of language, especially global terms, and their impact on international relations and on Thai foreign policy. His research interests also expand to social policy and development, particularly digitalisation, social changes, and their impact on vulnerable groups.


References

  1. A3logics (2023). How to develop apps for elderly care. https://www.a3logics.com/blog/how-to-develop-apps-for-elderly-care
  2. Abdi, S., Spann, A., Borilovic, J., de Witte, L., & Hawley, M. (2019). Understanding the care and support needs of older people: A scoping review and categorisation using the WHO international classification of functioning, disability and health framework (ICF). BMC Geriatrics, 19, Article 195. https://doi.org/10.1186/s12877-019-1189-9
  3. Aliouche, H. (2022, May 31). Comorbidities in older adults. News-Medical. https://www.news-medical.net/health/Comorbidities-in-Older-Adults.aspx
  4. Appling, G., & Pappalardo, G. (2014). The rise of mobile application stores: Gateways to the world of apps. Booz & Company.
  5. Azlan, A. A., Hamzah, M. R., Sern, T. J., Ayub, S. H., & Mohamad, E. (2022). Public acceptability and engagement with Malaysia’s MySejahtera mobile application for COVID-19 management. BMC Public Health, 22(1), 1–12. https://doi.org/10.1371/journal.pone.0233668
  6. Anderson, B. (2016, January–February). Riddles of yellow and red. New Left Review, 97. https://newleftreview.org/issues/ii97/articles/benedict-anderson-riddles-of-yellow-and-red
  7. Bickerstaff, B. (2013, February). An attempt to quantify the number of foreigners living in Thailand. Burning Bison. Archived from the original on September 14, 2015.
  8. Barua, P., Bangpan, M., Narattharaksa, K., Suphanchaimat, R., & Chaiyakunapruk, N. (2020). Healthcare policies for stateless populations in ASEAN countries: A scoping review. Journal of Immigrant and Minority Health, 22(3), 597–620. https://doi.org/10.1007/s10903-019-00945-y
  9. Chen, Y., Zhang, X., Liu, L., & Lin, X. (2020). Mobile health applications and the elderly: Usability and effectiveness. Journal of Aging Research, 12(3), 85–99. https://doi.org/10.21203/rs.3.rs-1515149/v1
  10. Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
  11. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
  12. Christopher, P. (2014). How gamification reshapes learning. https://bit.ly/2Fhb7mR
  13. Chulalongkorn University. (2024). Squeezium and Rehabit: Motivational games for elderly exercise. https://www.chula.ac.th/en/highlight/77105/
  14. Dombrowski, K. (2013, October 3). Modernity has arrived. D+C Development and Cooperation. https://www.dandc.eu/en/article/modernity-has-arrived
  15. El Moulat, A., Karim, L., & El Ouahidi, B. (2020). Internet of things (IoT) applications for elderly care: A reflective review. In Proceedings of the 5th International Conference on Smart City Applications (SCA) (pp. 1–6). https://doi.org/10.1109/SCA50484.2020.9264467
  16. Enssle, F., & Kabisch, N. (2020). Urban green spaces for the social interaction, health and well-being of older people—An integrated view of urban ecosystem services and socio-environmental justice. Environmental Science & Policy, 109, 36–44. https://doi.org/10.1016/j.envsci.2020.04.008
  17. Interaction Design Foundation. (n.d.). User-centered design. Interaction Design Foundation. https://www.interaction-design.org/literature/topics/user-centered-design
  18. Jim, S. (2014). What is gamification? https://bit.ly/2GW8vLS
  19. Klimova, B., & Maresova, P. (2016). Elderly people and their attitude to the use of information and communication technologies – A review study. Journal of Applied Computer Science & Mathematics, 10(5), 82–88.
  20. Wickens, C. M., McDonald, A. J., Elton-Marshall, T., Wells, S., Nigatu, Y. T., Jankowicz, D., & Hamilton, H. A. (2021). Loneliness in the COVID-19 pandemic: Associations with age, gender and their interaction. Journal of Psychiatric Research, 136, 103–108. https://doi.org/10.1016/j.jpsychires.2021.01.047
  21. Klenk, S., Reifegerste, D., & Renatus, R. (2023). Digital health literacy of older adults and barriers to use of mobile health applications: A systematic review. JMIR mHealth and uHealth, 11(1), e43186. https://doi.org/10.2196/43186
  22. Koivisto, J., & Malik, A. (2021). Gamification for older adults: A systematic literature review. The Gerontologist, 61(7), e360–e372. https://doi.org/10.1093/geront/gnaa047
  23. Knodel, J., Teerawichitchainan, B., Prachuabmoh, V. and Pothisiri, W. (2015). The Situation of Thailand’s Older Population an Update Based on the 2014 Survey of Older Persons in Thailand. Population Studies Center Research Report 15-847. University of Michigan, Ann Arbor.
  24. http://www.psc.isr.umich.edu/pubs/pdf/rr15-847.pdf
  25. Li, X., Huang, Y., & Chen, M. (2021). Designing elderly-friendly interfaces: Addressing usability challenges for digital health. International Journal of Medical Informatics, 159, 104–112.
  26. Lee, K., & Kwon, M. (2023). Understanding the digital divide among older adults: The role of digital literacy, social support, and socio-demographics in mobile health app use. Journal of Medical Internet Research, 25, e37733401. https://doi.org/10.2196/37733401
  27. Li, J., Ma, Q., Chan, A. H. S., & Man, S. S. (2022). Health monitoring through wearable technologies for older adults: Smart wearables acceptance model. Applied Ergonomics, 100, 103665. https://doi.org/10.1016/j.apergo.2021.103665
  28. Luangthongkum, T. (2007). The position of non-Thai languages in Thailand. In L. H. Guan & L. Suryadinata (Eds.), Language, nation and development in Southeast Asia (pp. 181–194). ISEAS Publishing.
  29. Martín, A., Macías, J. A., & De la Torre-Luque, A. (2021). Design of a chatbot to assist the elderly. In Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE) (pp. 191–198). https://doi.org/10.5220/0010479201910198
  30. Ministry of Health, Committee on Ageing Issues. (2006). Report on the ageing population: Chapter 2 – Focus on ageing issues [PDF]. Ministry of Health. https://isomer-user-content.by.gov.sg/3/08917da5-2404-482a-b570-cb7b53d6e166/chapter-2---focus-on-ageing-issues-2006.pdf
  31. Mynatt, E. D., Essa, I., & Rogers, W. (2000). Technology for care networks of elders. IEEE Pervasive Computing, 39–48. https://doi.org/10.1109/HICSS.2000.926607
  32. Mostaghel, R. (2016). Innovation and technology for the elderly: Systematic literature review. Journal of Business Research, 69(11), 4896–4900. https://doi.org/10.1016/j.jbusres.2016.04.049
  33. Magnusson, L., Hanson, E., & Nolan, M. (2002). Supporting family carers through the use of information technology – The EU project ACTION. International Journal of Nursing Studies, 39(4), 369–381. https://doi.org/10.1016/S0020-7489(01)00034-7
  34. Magnusson, L., & Hanson, E. (2003a). Ethical issues arising from a research, technology and development project to support frail older people and their family carers at home. Health and Social Care in the Community, 11, 431–439. https://doi.org/10.1046/j.1365-2524.2003.00446.x
  35. Magnusson, L., & Hanson, E. (2003b). Supporting frail older people and their family carers at home using information and communication technology: The ACTION project. Journal of Advanced Nursing, 43(6), 622–631. https://doi.org/10.1046/j.1365-2648.2003.02765.x
  36. National Science and Technology Development Agency (NSTDA). (2020). MONICA: Brain training app for seniors. https://www.nstda.or.th
  37. Ohannessian, R., Duong, T. A., & Odone, A. (2020). Global telemedicine implementation and integration within health systems to fight the COVID-19 pandemic: A call to action. JMIR Public Health and Surveillance, 6(2), e18810. https://doi.org/10.2196/18810
  38. Office of the Government Chief Information Officer. (2022). Elderly-friendly design guide for mobile applications. Digital Inclusion – Digital Government. https://www.digitalpolicy.gov.hk/en/our_work/digital_government/digital_inclusion/accessibility/promulgating_resources/application_design_guide/doc/elderly_friendly_design_guide_eng.pdf
  39. Paweewun, O., & Sirimai, P. (2016, November 11). Resetting the economy. Bangkok Post. https://www.bangkokpost.com/business/general/1132489/resetting-the-economy
  40. Prakongsai, P., & Chunharas, S. (Eds.). (2023). Situation of the Thai older persons 2022 [Report]. Foundation of Thai Gerontology Research and Development Institute; Institute for Population and Social Research, Mahidol University. https://www.researchgate.net/publication/374539711_Situation_of_the_Thai_Older_Persons_2022
  41. Robert O Barker, Barbara Hanratty, Andrew Kingston, Sheena E Ramsay, Fiona E Matthews, Changes in health and functioning of care home residents over two decades: what can we learn from population-based studies?, Age and Ageing, Volume 50, Issue 3, May 2021, Pages 921–927, https://doi.org/10.1093/ageing/afaa227
  42. Rondón García, L. M., & Ramírez Navarro, J. M. (2018). The impact of quality of life on the health of older people from a multidimensional perspective. Journal of Aging Research, 2018, Article 2988805. https://doi.org/10.1155/2018/2988805
  43. Thakur, R. P., Banerjee, A., & Nikumb, V. B. (2013). Health problems among the elderly: A cross-sectional study. Annals of Medical and Health Sciences Research, 3(1), 19–25. https://doi.org/10.4103/2141-9248.109466
  44. Tarbé, M., Moha, N., & Guéhéneuc, Y. G. (2020). A systematic review of gamification techniques applied to elderly care. Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020, 3735–3744. https://doi.org/10.24251/HICSS.2020.457
  45. Tomstad, S. T., Soderhamn, U., Espenes, G. A., & Soderhamn, O. (2012). Living alone, receiving help, helplessness, and inactivity are strongly related to risk of undernutrition among older home-dwelling people. International Journal of General Medicine, 5, 231–240. https://doi.org/10.2147/IJGM.S28507
  46. Tyack, C., & Camic, P. M. (2020). Touchscreen interventions and the well-being of people with dementia and caregivers: A systematic review. Journal of Applied Gerontology, 39(9), 973–982. https://doi.org/10.1177/0733464819843270
  47. Uhlenberg, P. (Ed.). (2009). International handbook of population aging (Vol. 1). Springer. https://link.springer.com/book/10.1007/978-1-4020-8356-3
  48. U.S. Census Bureau. (2004, March). Global population at a glance: 2002 and beyond. International Brief (Report No. WP/02-1) [PDF]. Washington, DC. https://www.census.gov/content/dam/Census/library/publications/2004/demo/wp02-1.pdf
  49. Xiang, Z., Wang, H., & Li, H. (2024). Comorbidity risk and distribution characteristics of chronic diseases in the elderly population in China. BMC Public Health, 24, Article 360. https://doi.org/10.1186/s12889-024-0360
  50. Zhao, J., et al. (2020). Antibody Responses to SARS-CoV-2 in Patients of Novel Coronavirus Disease 2019. Clinical Infectious Diseases, 71, 2027-2034. https://www.scirp.org/reference/referencespapers?referenceid=3683667
  51. Zhou, F., Cheok, J., & Lee, Y. (2023). Design guidelines of mobile apps for older adults: Systematic review and thematic analysis [Preprint]. ResearchGate. https://doi.org/10.13140/RG.2.2.37410.66921
  52. Zhou, X., & Kumar, N. (2024). Artificial intelligence in elderly care: A review of applications and challenges. Journal of the American Medical Directors Association. Advance online publication. https://doi.org/10.1016/j.jamda.2024.10.001

Downloads

Download data is not yet available.