Variables Influencing Older Adults' Intention to Use Home-based Care Technologies

An exploratory study


  • Elsy Paola Garcia Reyes The University of Melbourne
  • Carmen Reaiche James Cook University, Australia



University of Third Age, Older Adults, UTAUT model, Innovation Technologies for the Senior, Factors


The increase in the population of older adults is becoming a global urban problem due to increasing health and welfare needs. Innovations in home-based care technologies offer new approaches to delivering care, reducing costs, and supporting aging in place. However, it appears that there are various influencing factors in relation to the adoption and use of technologies by older adults. This research aims to explore the nature of these factors as well as to evaluate and understand if they influence how older adults approach the adoption of home-based care technologies. Addressing this question could help understand the acceptance and identify the education and training needs required for the use of modern technologies by older adults. To achieve this, we used the Unified Theory of Acceptance and Use of Technology (UTAUT) and adopted a qualitative approach. Findings identified some of the key factors influencing older adults' intention to use technologies, including perceived need, social network, self-efficacy, anxiety and attitude towards technology. These factors were not originally evaluated in the UTAUT model; these emerged from the interpretative approach taken on the concerns and perceptions noted by the older adults interviewed. This result provides evidence for the requirement to expand the standard UTAUT model previously used to understand technology adoptions. We argue that the University of the Third Age plays a critical role in enabling senior citizens' knowledge and therefore helping their intention to use these technologies.


Aggelidis, V. P., & Chatzoglou, P. D. (2009). Using a modified technology acceptance model in hospitals. International Journal of Medical Informatics, 78(2), 115-126. https://doi:10.1016/j.ijmedinf.2008.06.006

Anderson, J. E., Schwager, P. H., & Kerns, R. L. (2006). The Drivers for Acceptance of Tablet PCs by Faculty in a College of Business. Journal of Information Systems Education, 17(4), 429-440. Retrieved from

Andrews, J. A., Brown, L. J., Hawley, M. S., & Astell, A. J. (2019). Older Adults' Perspectives on Using Digital Technology to Maintain Good Mental Health: Interactive Group Study. Journal of Medical Internet Research, 21(2), e11694. https://doi:10.2196/11694

Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension. Management Information Systems Quarterly, 29(3), 399-426.

Brownsell, S., & Hawley, M. S. (2004). Automatic fall detectors and the fear of falling. Journal Of Telemedicine And Telecare, 10, 262-266. https://doi:10.1258/1357633042026251

Carlsson, C., Carlsson, J., Hyvonen, K., Puhakainen, J., & Walden, P. (2006). Adoption of Mobile Devices/Services - Searching for Answers with the UTAUT. Paper presented at the Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

Chiu, C. J., & Liu, C. W. (2017). Understanding Older Adult's Technology Adoption and Withdrawal for Elderly Care and Education: Mixed Method Analysis from National Survey. Journal of Medical Internet Research, 19(11), e374. https://doi:10.2196/jmir.7401

Cohen-Mansfield, J., & Frank, J. (2008). Relationship Between Perceived Needs and Assessed Needs for Services in Community-Dwelling Older Persons.pdf. The Gerontologist, 48(4), 505-516. https://doi:10.1093/geront/48.4.505

Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189-211. https://doi:10.2307/249688

Czaja, S. J. (2013). Designing training and instructional programs for older adults / Sara J. Czaja, Joseph Sharit. In: CRC Press.

Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A., & Sharit, J. (2006). Factors Predicting the Use of Technology: Findings From the Center for Research and Education on Aging and Technology Enhancement (CREATE). Psychology and aging, 21(2), 333-352. https://doi:10.1037/0882-7974.21.2.333

Garfield, M. J. (2005). Acceptance of Ubiquitous Computing. Information Systems Management, 22(4), 24-31. https://doi:10.1201/1078.10580530/45520.22.4.20050901/90027.3

Gascho Rempel, H., & Mellinger, M. (2015). Bibliographic Management Tool Adoption and Use: A Qualitative Research Study Using the UTAUT Model. Reference & User Services Quarterly, 54(4), 43-53.

Gruzd, A., Staves, K., & Wilk, A. (2012). Connected scholars: Examining the role of social media in research practices of faculty using the UTAUT model. Computers in Human Behavior, 28(6), 2340-2350. https://doi:10.1016/j.chb.2012.07.004

Hawley-Hague, H., Boulton, E., Hall, A., Pfeiffer, K., & Todd, C. (2014). Older adults' perceptions of technologies aimed at falls prevention, detection or monitoring: a systematic review. International Journal of Medical Informatics, 83(6), 416-426. https://doi:10.1016/j.ijmedinf.2014.03.002

Ifenthaler, D., & Schweinbenz, V. (2013). The acceptance of Tablet-PCs in classroom instruction: The teachers' perspectives. Computers in Human Behavior, 29(3), 525-534. https://doi:10.1016/j.chb.2012.11.004

Iwasaki, N. (2013). Usability of ICT applications for elderly people in disaster reduction. Jounal of E-Governance, 36, 73-78. https://doi:10.3233/GOV-130338

Jackson, K., & Bazeley, P. (2019). Qualitative data analysis with NVivo: Sage.

Kamin, S. T., Beyer, A., & Lang, F. R. (2019). Social support is associated with technology use in old age. Z Gerontol Geriatr. https://doi:10.1007/s00391-019-01529-z

Lee, C., & Coughlin, J. F. (2015). PERSPECTIVE: Older Adults' Adoption of Technology: An Integrated Approach to Identifying Determinants and Barriers. Journal of Product Innovation Management, 32(5), 747-759. https://doi:10.1111/jpim.12176

Lee, Y. S. (2007). Older Adults' User Experiences With Mobile Phones:Identification Of User CLUSTERS AND USER REQUIREMENTS (Doctor of Philosophy). Virginia Polytechnic Institute and State University, Faculty of the Virginia Polytechnic Institute and State University Retrieved from

Londei, S. T., Rousseau, J., Ducharme, F., St-Arnaud, A., Meunier, J., Saint-Arnaud, J., & Giroux, F. (2009). An intelligent videomonitoring system for fall detection at home: perceptions of elderly people. Journal Of Telemedicine And Telecare, 15(8), 383-390. https://doi:10.1258/jtt.2009.090107

Luijkx, K., Peek, S., & Wouters, E. (2015). "Grandma, You Should Do It—It's Cool" Older Adults and the Role of Family Members in Their Acceptance of Technology. International Journal of Environmental Research and Public Health, 12(12), 15470-15485. https://doi:10.3390/ijerph121214999

Marchewka, J. T., & Kostiwa, K. (2007). An Application of the UTAUT Model for Understanding Student Perceptions Using Course Management Software. Communications of the IIMA, 7(2). Retrieved from

Martínez-Alcalá, C. I., Rosales-Lagarde, A., Alonso-Lavernia, M. d. l. Á., Ramírez-Salvador, J. Á., Jiménez-Rodríguez, B., Cepeda-Rebollar, R. M., . . . Agis-Juárez, R. A. (2018). Digital Inclusion in Older Adults: A Comparison Between Face-to-Face and Blended Digital Literacy Workshops. Frontiers in ICT, 5. https://doi:10.3389/fict.2018.00021

Mitzner, T. L., Boron, J. B., Fausset, C. B., Adams, A. E., Charness, N., Czaja, S. J., . . . Sharit, J. f. (2010). Older adults talk technology: Technology usage and attitudes. Computers in Human Behavior, 26(6), 1710–1721.

Navabi, N., Ghaffari, F., & Jannat-Alipoor, Z. (2016). Older adults' attitudes and barriers toward the use of mobile phones. Clin Interv Aging, 11, 1371-1378. https://doi:10.2147/CIA.S112893

Pan, S., & Jordan-Marsh, M. (2010). Internet use intention and adoption among Chinese older adults: From the expanded technology acceptance model perspective. Computers in Human Behavior, 26(5), 1111-1119. doi:10.1016/j.chb.2010.03.015

Park, J., Yang, S., & Lehto, X. (2007). ADOPTION OF MOBILE TECHNOLOGIES FOR CHINESE CONSUMERS. Journal of Electronic Commerce Research, 8(3), 196-206. Retrieved from

Peek, S. T., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., . . . Wouters, E. J. (2016). Older Adults' Reasons for Using Technology while Aging in Place. Gerontology, 62(2), 226-237. https://doi:10.1159/000430949

Peek, S. T., Wouters, E. J., van Hoof, J., Luijkx, K. G., Boeije, H. R., & Vrijhoef, H. J. (2014). Factors influencing acceptance of technology for aging in place: a systematic review. Int J Med Inform, 83(4), 235-248. https://doi:10.1016/j.ijmedinf.2014.01.004

Rogers, E. M. (1995). Diffusion of Innovations: New York : Free Press.

Sixsmith, A., & Gutman, G. (2013). Technologies for Active Aging (Vol. 9): Springer US.

Stephens, C., Burholt, V., & Keating, N. (2018). The SAGE Handbook of Qualitative Data Collection. In. https://doi:10.4135/9781526416070

Van Biljon, J., & Renaud, K. (2008). A Qualitative Study of the Applicability of Technology Acceptance Models to Senior Mobile Phone Users. In Advances in Conceptual Modeling – Challenges and Opportunities (pp. 228-237).

Vaportzis, E., Clausen, M. G., & Gow, A. J. (2017). Older Adults Perceptions of Technology and Barriers to Interacting with Tablet Computers: A Focus Group Study. Frontiers in Psychology, 8, 1687. https://doi:10.3389/fpsyg.2017.01687

Vasunilashorn, S., Steinman, B. A., Liebig, P. S., & Pynoos, J. (2012). Aging in place: evolution of a research topic whose time has come. Journal of Aging Research, 2012, 6. https://doi:10.1155/2012/120952

Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342-365.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478.

Venkatesh, V. V., Morris, M. G., & Ackerman, P. L. (2000). A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. Organisational Behavior and Human Decision Processes, 83(1), 33-60. https://doi:10.1006/obhd.2000.2896

Walsh, K., & Callan, A. (2010). Perceptions, Preferences, and Acceptance of Information and Communication Technologies in Older-Adult Community Care Settings in Ireland: A Case-Study and Ranked-Care Program Analysis. Ageing International, 36(1), 102-122. doi:10.1007/s12126-010-9075-y

White, J., & Weatherall, A. (2000). A Grounded Theory Analysis of Older Adults and Information Technology. EDUCATIONAL GERONTOLOGY, 26(4), 371–386.

WHO. (2013). WHO Global Forum on Innovations for Ageing Populations. Retrieved from

Wild, K. V., Mattek, N. C., Maxwell, S. A., Dodge, H. H., Jimison, H. B., & Kaye, J. A. (2012). Computer-related self-efficacy and anxiety in older adults with and without mild cognitive impairment. Alzheimers & Dementia, 8(6), 544-552. https://doi:10.1016/j.jalz.2011.12.008

Winstead, V., Anderson, W. A., Yost, E. A., Cotten, S. R., Warr, A., & Berkowsky, R. W. (2013). You can teach an old dog new tricks: a qualitative analysis of how residents of senior living communities may use the web to overcome spatial and social barriers. J Appl Gerontol, 32(5), 540-560. https://doi:10.1177/0733464811431824

Yusif, S., Soar, J., & Hafeez-Baig, A. (2016). Older people, assistive technologies, and the barriers to adoption: A systematic review. International Journal of Medical Informatics, 94(Supplement C), 112-116. :




How to Cite

Garcia Reyes, E. P., & Reaiche, C. (2022). Variables Influencing Older Adults’ Intention to Use Home-based Care Technologies: An exploratory study. Journal of Resilient Economies (ISSN: 2653-1917), 2(2).