Older adults’ willingness to share their personal and health information when adopting healthcare technology and services
Abstract
Background Large investments have been made in the development of information technology-based healthcare solutions for older adults, with expectations for increased efficiency and effectiveness of preventive healthcare and chronic disease management. This study aims to explore factors influencing older adults' willingness to share their personal and health information when using healthcare technologies and services such as wearable electronic devices and relevant services, with a focus on information type and requesting entity. Methods Data came from a survey on older adults at local senior centers in South Korea (N = 170; mean age = 77; 45.9% women). Questions asked participants their willingness to share information about socioeconomic, health status, and medical service information with six entities: family, hospital, researcher, government agency, device developer/corporation, and insurance company. A series of logistic regressions were estimated to examine the associations of socio-demographic factors, self-rated health, and attitude towards technology with the willingness to share by information type and requesting entity. Results Higher proportions of older adults reported being willing to share their information with family and hospitals than with researchers, government agencies, device developer/corporations, or insurance companies (80.4%, 66.1% vs. 39.9%, 23.5%, 25.2%, 19.0%, respectively). Education and age were the most common factors affecting older adults' wil…
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Older adults who may rely on wearables for fall detection or chronic disease monitoring are often unaware of how their data is shared with insurers or third parties, raising the possibility of discrimination in premiums or coverage based on wearable-derived metrics.
“Similarly, older adults, who may rely on wearables for fall detection or chronic disease monitoring 63 , are often unaware of how their data is shared with insurers or third parties 64 -raising the possibility of discrimination in premiums or coverage based on wearable-derived metrics.”
From Privacy in consumer wearable technologies: a living systematic analysis of data policies across leading manufacturers (2025) · cites this paper as [64]
Cites
Factors influencing acceptance of technology for aging in place: A systematic review
Peek, S. T. M., Wouters, E. J. M., van Hoof, J., Luijkx, K. G., Boeije, H. R., & Vrijhoef, H. J. M. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.01.004 · Cited by 1,206 · see citing works
A review of technology acceptance by older adults
Chen, K., & Chan, A. H. S. (2011) · Gerontechnology · doi:10.4017/gt.2011.10.01.006.00 · Cited by 353 · see citing works
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Doherty, C., Baldwin, M., Lambe, R., Altini, M., & Caulfield, B. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01757-1 · Cited by 55 · see citing works
- Authors
- Kim, T. K., & Choi, M.
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 126
- Pages
- 86-94
- ISSN
- 1386-5056
- Cited by
- 65
- References
- 2
- Language
- en
- Funders
- National Research Foundation of Korea (NRF-2017S1A5A8019648)
- Korea Advanced Institute of Science and Technology
- Ministry of Education
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