การยอมรับเทคโนโลยีและพฤติกรรมการใช้เทคโนโลยีด้านสุขภาพของผู้สูงอายุ

Nursaheeda Chemama; Satiman  Makchuchit; Pichayanit Ruangroengkulrit

Authors

Nursaheeda Chemama Boromarajonani College of Nursing, Yala, Faculty of Nursing, Praboromarajchanok Institute
Satiman Makchuchit Boromarajonani College of Nursing, Yala, Faculty of Nursing, Praboromarajchanok Institute
Pichayanit Ruangroengkulrit Boromarajonani College of Nursing, Yala, Faculty of Nursing, Praboromarajchanok Institute

Keywords:

Health technology use behavior, Older adults, Technology acceptance

Abstract

Rapid advancements in health technology have positioned technology as a vital tool for promoting the health of older adults. Nevertheless, limitations remain regarding technology acceptance and usage among Thai older adults. This research employed an explanatory sequential mixed methods design to investigate technology acceptance levels and health technology usage behaviors, analyze relationships with personal factors, and qualitatively explore the experiences and perspectives of older adults. The participants consisted of 134 older adults who resided in the Yala Municipality area, selected via simple random sampling for the quantitative phase, and 16 key informants selected via purposive sampling for focus group discussions. Research instruments included demographic, technology acceptance, and usage behavior questionnaires, alongside a focus group guide. Data were analyzed using descriptive statistics, chi-square tests, Spearman’s rank correlation, and content analysis.

The findings revealed that overall technology acceptance among older adults was at a high level (M = 3.66, SD = 0.61). Specifically, attitude toward use scored highest (M = 3.92, SD = 0.82), while data security scored lowest (M = 3.33, SD = 0.77). Conversely, overall health technology usage behavior was at a moderate level (M = 1.92, SD = 0.79). Education, occupation, and income significantly correlated with technology acceptance (p < 0.05). Notably, data security showed the strongest positive correlation with usage behavior (r = 0.48, p = 0.00). Qualitative findings clarified that despite positive attitudes, limited usage stemmed primarily from data security concerns, system complexity, and a lack of local support mechanisms.

Consequently, technology design should prioritize simplicity and high-level security features to foster sustainable and practical usage among older adults.

References

Best, J. W. (1977). Research in education (3rd ed.). Prentice-Hall.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.

Creswell, J. W., & Plano Clark, V. L. (2017). Designing and conducting mixed methods research (3rd ed.). SAGE.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

Hoque, R., & Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International Journal of Medical Informatics, 101, 75-84. https://doi.org/10.1016/j.ijmedinf.2017.02.002

Jandaeng, P. (2025). Health information seeking and utilization among elderly students at Mae Ka Elderly School, Mueang District, Phayao Province. TLA Bulletin, 69(1), 105–121. (in Thai)

Jokisch, M. R., Schmidt, L. I., & Doh, M. (2022). Acceptance of digital health services among older adults: Findings on perceived usefulness, self-efficacy, privacy concerns, ICT knowledge, and support seeking. Frontiers in Public Health, 10, 1073756. https://doi.org/10.3389/fpubh.2022.1073756

Keawseesod, N., Deramae, W., & Suthanaphinyo, S. (2026). Malay language: The cultural spirit of the Southern Border. Institute of Culture and Arts Journal Srinakharinwirot University, 27(2), 10–20. https://so02.tci-thaijo.org/index.php/jica/article/view/279652/189371 (in Thai)

Kleechaya, P. (2021). Digital technology utilization of elderly and framework for promoting Thai active and productive aging. Journal of Communication Arts, 39(2), 56–78. (in Thai)

National Statistical Office. (2024). The 2024 survey of the older persons in Thailand provincial level. National Statistical Office. https://www.nso.go.th/nsoweb/nso/survey_detail/iM?set_lang=en#gsc.tab=0 (in Thai)

Nilwatta, N. (2020). The use of information technology and health service accessibility of the Thai elderly [Master’s thesis, Mahidol University]. Thesis and Thematic paper. https://repository.li.mahidol.ac.th/handle/123456789/91985 (in Thai)

Park, H. K., Chung, J., & Ha, J. (2023). Acceptance of technology related to healthcare among older Korean adults in rural areas: A mixed-method study. Technology in Society, 72, 102182. https://doi.org/10.1016/j.techsoc.2022.102182

Peek, S. T. M., Wouters, E. J. M., van Hoof, J., Luijkx, K. G., Boeije, H. R., & Vrijhoef, H. J. M. (2014). Factors influencing acceptance of technology for aging in place: A systematic review. International Journal of Medical Informatics, 83(4), 235–248. http://dx.doi.org/10.1016/j.ijmedinf.2014.01.004

Phatanet, P. (2024). Factors related to self-reliance and technology acceptance among the elderly digital age in Nong Khai Province. NEU Academic and Research Journal, 14(3), 93–107. (in Thai)

Punjathumjarern, N., & Fukfon, K. (2023). Inequality and exploitation in the accessibility of social welfare services through digital technology among older adults: A descriptive qualitative study. Journal of Prachomklao College of Nursing, Phetchaburi Province, 6(3), 46–58. (in Thai)

Quan-Haase, A., & Ho, D. (2020). Online privacy concerns and privacy protection strategies among older adults in East York, Canada. Journal of the Association for Information Science and Technology, 71(9), 1089-1102. https://doi.org/10.1002/asi.24364

Sitthimunkong, W. (2020). Technology acceptance and the intention to use telemedicine in the Bangkok Metropolitan Area. [Master’s independent study, Thammasat University]. https://digital.library.tu.ac.th/tu_dc/frontend/Info/item/dc:186245 (in Thai)

Thepsud, K., & Korcharoen, M. (2019). Behavior using online social media regarding health and media literacy among the elderly with diabetes mellitus in Bangkok. Payap University Journal, 29(1), 67–78. (in Thai)

Wattatham, S., Dami, D., Nakpan, S., Noothongmark, K., Nuseng, N., Kaewbubha, P., Chansi, N., & Putnoi, T. (2024). Factors influencing technology acceptance among the elderly in the digital age: Case study of Koh Yor Sub-district Administrative Organization, Mueang District, Songkhla Province. Journal of Kanchanaburi Rajabhat University, 13(1), 65–75. (in Thai)

Wildenbos, G. A., Peute, L., & Jaspers, M. (2018). Aging barriers influencing mobile health usability for older adults: A literature based framework (MOLD-US). International Journal of Medical Informatics, 114, 66-75. https://doi.org/10.1016/j.ijmedinf.2018.03.012

Wilson, J., Heinsch, M., Betts, D., Booth, D., & Kay-Lambkin, F. (2021). Barriers and facilitators to the use of e-health by older adults: A scoping review. BMC Public Health, 21(1), 1556. https://doi.org/10.1186/s12889-021-11623-w

Wongkampun, S., & Panitrat, R. (2023). Factors influencing health information technology utilization behaviors among older people in Bangkok Metropolitan. Journal of Thailand Nursing and Midwifery Council, 38(3), 182–199. (in Thai)

World Health Organization. (2025). Ageing and health. https://www.who.int/news-room/fact-sheets/detail/ageing-and-health