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Community-Based Trials of Mobile Solutions for the Detection and Management of Cognitive Decline

Boyd, Adele, Synnott, Jonathan, Nugent, Chris, Elliott, David and Kelly, John (2017) Community-Based Trials of Mobile Solutions for the Detection and Management of Cognitive Decline. Health Technology Letters, Online . [Journal article]

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URL: http://digital-library.theiet.org/content/journals/10.1049/htl.2016.0102

DOI: 10.1049/htl.2016.0102

Abstract

This study focused on the development and usability evaluation of EnCare diagnostics (ECD) and the Brain Fit Plan (BFP) in healthy older adults, cognitively impaired and physically impaired individuals. ECD is proposed as a novel solution to cognitive assessment based on color selection. BFP is a novel solution to personalized cognitive stimulation. The study consisted of 2 trials designed to evaluate the usability of the apps. Trial 1 involved eleven healthy older adults and four older adults with physical impairments who undertook ECD and Mini Mental State Examination (MMSE) once per month for four months with only those with physical impairments also completing the BFP daily. Trial 2 involved eight older adults diagnosed with early stage dementia who completed MMSE and ECD once per month for six months. In trial 1, 10/11 participants enjoyed the trial and managed the usability of the app easily. A 75% drop out was observed in response to the BFP with issues of dexterity and lack of understanding on how to use the technology being the main reasons for lack of compliance. 4/8 participants completed trial 2 with most of the participants having no usability issues. This usability study demonstrated that ECD is highly acceptable in both healthy older adults and those with early stage dementia when given the shorter versions to accommodate their diagnosis. The BFP was not suited to this population of participants.

Item Type:Journal article
Keywords:Cognitive Decline, Dementia, Connected Health
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Life and Health Sciences > School of Biomedical Sciences
Faculty of Life and Health Sciences
Research Institutes and Groups:Biomedical Sciences Research Institute > Nutrition Innovation Centre for Food and Health (NICHE)
Biomedical Sciences Research Institute
Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:37841
Deposited By: Dr Jonathan Synnott
Deposited On:11 May 2017 11:57
Last Modified:26 Jul 2017 14:22

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