Abstract
Shared decision making (SDM) is based on the clinical expertise of healthcare professionals and patients' preferences and values. Digital health services may offer new possibilities for patient-generated data e.g. in SDM. This study aimed to assess older adults' experiences of decision making in healthcare and attitudes toward digital health and social services. Data were collected via an online survey of 629 respondents. Results showed that digital services are considered beneficial, yet half of respondents needed guidance in their use. Many factors affect SDM and the perceived benefits of digital services. Based on our findings digital services are expected to provide guidance and individualised user experience. More research is needed to provide services with equitable access for people with special needs.
Original language | English |
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Title of host publication | Digital Health and Informatics Innovations for Sustainable Health Care Systems |
Subtitle of host publication | Proceedings of MIE 2024 |
Editors | John Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanović, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou |
Publisher | IOS Press |
Pages | 216-220 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-64368-533-5 |
DOIs | |
Publication status | Published - 22 Aug 2024 |
Publication type | A4 Article in conference proceedings |
Event | Medical informatics Europe - Athens, Greece Duration: 25 Aug 2024 → 29 Aug 2024 Conference number: 34th |
Publication series
Name | Studies in health technology and informatics |
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Volume | 316 |
ISSN (Print) | 0926-9630 |
Conference
Conference | Medical informatics Europe |
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Abbreviated title | MIE |
Country/Territory | Greece |
City | Athens |
Period | 25/08/24 → 29/08/24 |
Keywords
- decision making
- digital services
- older adults
- patient participation
Publication forum classification
- Publication forum level 1
ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
- Health Information Management