Community-based trials of mobile solutions for the detection and management of cognitive decline

Healthcare Technology Letters

John Kelly¹  David Elliott²  Chris Nugent³  Adele Boyd³  Jonathan Synnott³ 

[1]Fingerprint Learning

[2]|Redburn Solutions Ltd.

[3]|Ulster University

关键词: geriatrics;    patient diagnosis;    brain;    cognition;    health care;    EnCare diagnostics;    brain fit plan;    cognitive assessment;    colour selection;    minimental state examination;    early stage dementia;    healthy older adults;   

DOI  :  10.1049/htl.2016.0102

来源: DOAJ

【 摘 要 】

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 colour selection. BFP is a novel solution to personalised cognitive stimulation. The study consisted of two trials designed to evaluate the usability of the apps. Trial 1 involved 11 healthy older adults and four older adults with physical impairments who undertook ECD and mini-mental state examination (MMSE) once per month for 4 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 6 months. In Trial 1, 10 out of 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. Four out of eight 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.

【 授权许可】

Unknown