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Supervised digital neuropsychological tests for cognitive decline in elderly: usability and clinical validity

Academic Article
Publication Date:
2020
Short description:
Supervised digital neuropsychological tests for cognitive decline in elderly: usability and clinical validity / Lunardini, F; Luperto, M; Romeo, M; Basilico, N; Daniele, K; Azzolino, D; Damanti, S; Abbate, C; Mari, D; Cesari, M; Borghese, Na; Ferrante, S. - In: JMIR MHEALTH AND UHEALTH. - ISSN 2291-5222. - 8:9(2020). [10.2196/17963]
abstract:
Background: Dementia is a major and growing health problem, and early diagnosis is key to its management.Objective: With the ultimate goal of providing a monitoring tool that could be used to support the screening for cognitive decline, this study aims to develop a supervised, digitized version of 2 neuropsychological tests: Trail Making Test and Bells Test. The system consists of a web app that implements a tablet-based version of the tests and consists of an innovative vocal assistant that acts as the virtual supervisor for the execution of the test. A replay functionality is added to allow inspection of the user's performance after test completion.Methods: To deploy the system in a nonsupervised environment, extensive functional testing of the platform was conducted, together with a validation of the tablet-based tests. Such validation had the two-fold aim of evaluating system usability and acceptance and investigating the concurrent validity of computerized assessment compared with the corresponding paper-and-pencil counterparts.Results: The results obtained from 83 older adults showed high system acceptance, despite the patients' low familiarity with technology. The system software was successfully validated. A concurrent validation of the system reported good ability of the digitized tests to retain the same predictive power of the corresponding paper-based tests.Conclusions: Altogether, the positive results pave the way for the deployment of the system to a nonsupervised environment, thus representing a potential efficacious and ecological solution to support clinicians in the identification of early signs of cognitive decline.
Iris type:
1.1 Articolo in rivista
List of contributors:
Lunardini, F; Luperto, M; Romeo, M; Basilico, N; Daniele, K; Azzolino, D; Damanti, S; Abbate, C; Mari, D; Cesari, M; Borghese, Na; Ferrante, S
Authors of the University:
DAMANTI SARAH
Handle:
https://iris.unisr.it/handle/20.500.11768/160677
Full Text:
https://iris.unisr.it//retrieve/handle/20.500.11768/160677/128740/document(1).pdf
Published in:
JMIR MHEALTH AND UHEALTH
Journal
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URL

http://mhealth.jmir.org/2020/9/e17963/
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