Acceptability of wearable technology for the early detection of dementia-causing diseases: perspectives from the CODEC II cohort.

Background: The global prevalence of dementia is increasing exponentially. Early detection of dementia-causing diseases could support therapeutic intervention to decelerate disease progression. Wearable digital technologies can be used to identify early signs of such diseases and remotely monitor disease progression. However, technologies must be acceptable to users. This study explored the perspectives of participants on the acceptability of various wearable technologies for early detection. Method: Participants from the Cognitive Decline using Digital Devices (CODEC-II) cohort used four different wearables (smartwatch, electroencephalographic [EEG] headband, active and passive smartphone apps) for two weeks every three months over a year. A subgroup participated in semi structured interviews after two weeks to discuss their experiences and acceptance of the devices. Data was analysed using the framework analysis approach, aided by N-Vivo (v14.23.2). Results: Twenty-one participants were interviewed, including individuals with subjective cognitive decline ( Conclusion: These findings highlight the importance of using an inclusive design approach to meet users' needs and support digital inclusivity, and an effective communication strategy to increase transparency and reduce data disclosure concerns. Future research is needed to explore the effectiveness of implementing current recommendations to support digital health equity and codesign a communication strategy with users to ensure the information is understandable. Trial registration: CODEC-II was retrospectively registered as a clinical trial under the registry ClinicalTrials.gov (trial registration number: NCT07051408, date of registration: 3rd June 2025). Supplementary Information: The online version contains supplementary material available at 10.1186/s44247-025-00191-3.