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      A Scoping Survey to Inform Design of Digital Dementia Risk Reduction Interventions for Adults Concerned about their Cognitive Health

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          Abstract

          Background:

          Digital dementia risk reduction interventions are cost-effective and scalable. However, it is unknown how they are perceived by people already experiencing cognitive concerns or decline.

          Objective:

          To understand the current use, interest, and preferences for online learning courses and interest in learning about factors influencing brain health and dementia risk among adults ≥45. To explore potential differences between individuals experiencing cognitive concerns and those without.

          Methods:

          Adults aged 45 and older completed a survey on technology use and healthy ageing ( n = 249, Mean age = 65.6, 76.3% female). The Memory Assessment Clinic-Questionnaire was used to assess subjective memory decline, and 153 participants met the study criteria for cognitive concerns (≥25).

          Results:

          Almost all participants (98.4%) reported using two or more digital devices, and 51.8% reported increasing device usage following COVID-19. Most (92.1%) were interested in learning about healthy living and memory within an online course, and over 80% indicated a high interest in learning about dementia risk factors. People with cognitive concerns were more likely to report using a ‘routine or system’ to aid memory than people without (82.4% versus 62.9%, p = 0.001). However, no significant difference was found in technology use, course preferences, or interest in learning about different risk factors.

          Conclusions:

          We conclude that adults 45 years and over are interested in online methods for learning about brain health and offer unique insights into adapting dementia prevention programs for cognitive concerns.

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          Most cited references58

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              The REDCap consortium: Building an international community of software platform partners

              The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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                Author and article information

                Journal
                J Alzheimers Dis Rep
                J Alzheimers Dis Rep
                ADR
                Journal of Alzheimer's Disease Reports
                IOS Press (Nieuwe Hemweg 6B, 1013 BG Amsterdam, The Netherlands )
                2542-4823
                11 April 2024
                2024
                : 8
                : 1
                : 697-708
                Affiliations
                [a ]UNSW School of Psychology, The University of New South Wales , Sydney, NSW, Australia
                [b ]UNSW Ageing Futures Institute, The University of New South Wales , Sydney, NSW, Australia
                [c ]Neuroscience Research Australia , Randwick, NSW, Australia
                [d ]Thompson Institute, University of the Sunshine Coast , Birtinya, QLD, Australia
                Author notes
                [* ]Correspondence to: Ms. Jessica G. Amos, School of Psychology, University of New South Wales, Sydney, New South Wales, 2052, Australia. Tel.: +61 2 9399 1853; E-mail: j.amos@ 123456unsw.edu.au ; ORCID: 0000-0003-3459-302X.
                Author information
                https://orcid.org/0000-0003-3459-302X
                Article
                ADR230160
                10.3233/ADR-230160
                11091727
                38746626
                690a0292-2d0f-4543-a663-04aab467874a
                © 2024 – The authors. Published by IOS Press

                This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 31 October 2023
                : 6 March 2024
                Categories
                Research Report

                alzheimer’s disease,cognition,dementia,prevention and control,technology

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