How to guide the use of technology for ageing-in-place? An evidence-based educational module

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Abstract

Aim: Technology is suggested to support ageing-in-place. For careand technology professionals working with older persons it is important to know how to facilitate the use of technology by older persons. This paper presents the translation of the results of a field study into multilevel and multidisciplinary educational material. Method: During home visits, community-dwelling seniors were interviewed regarding reasons for their level of technology use. All types of technology that could support activities of daily living, were included. Resulting themes formed the basis of the development of personas and scripts for education. Next, lecturers from vocational and higher technical and care education developed an evidence-based educational module from the perspective of professional service provision. Results: 53 older adults were interviewed. The level of technology use is influenced by six themes: challenges in the domain of independent living; behavioural options; personal thoughts on technology use; influence of the social network; influence of organisations; and the role of the physical environment. Four personas were developed, one of which was featured into a film, with twelve separate scenes. For each scene, lessons were developed that consisted of specific questions (first level), in-depth questions (second level) and suggestions for classes (for lecturers). Three personas were translated into case histories. Conclusion: Older adults’ perceptions and use of technology are embedded in their personal, social, and physical context. To improve successful technology use to support ageing-in-place, professionals from the domain of care and technology can be trained to be aware of these factors.

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Wouters, E. J. M., Nieboer, M. E., Nieboer, K. A., Moonen, M. J. G. A., Peek, S. T. M., Sponselee, A. M. A. G., … Luijkx, K. G. (2017). How to guide the use of technology for ageing-in-place? An evidence-based educational module. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10297 LNCS, pp. 486–497). Springer Verlag. https://doi.org/10.1007/978-3-319-58530-7_37

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