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Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study

Authors :
Lunardini, Francesca
Luperto, Matteo
Romeo, Marta
Basilico, Nicola
Daniele, Katia
Azzolino, Domenico
Damanti, Sarah
Abbate, Carlo
Mari, Daniela
Cesari, Matteo
Borghese, Nunzio Alberto
Ferrante, Simona
Source :
JMIR mHealth and uHealth, Vol 8, Iss 9, p e17963 (2020)
Publication Year :
2020
Publisher :
JMIR Publications, 2020.

Abstract

BackgroundDementia is a major and growing health problem, and early diagnosis is key to its management. ObjectiveWith 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. MethodsTo 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. ResultsThe 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. ConclusionsAltogether, 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.

Details

Language :
English
ISSN :
22915222
Volume :
8
Issue :
9
Database :
Directory of Open Access Journals
Journal :
JMIR mHealth and uHealth
Publication Type :
Academic Journal
Accession number :
edsdoj.9b91b45f0d43cca8e477e991a4182c
Document Type :
article
Full Text :
https://doi.org/10.2196/17963