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Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536607/ https://www.ncbi.nlm.nih.gov/pubmed/32955442 http://dx.doi.org/10.2196/17963 |
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author | 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 |
author_facet | 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 |
author_sort | Lunardini, Francesca |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7536607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-75366072020-10-20 Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study 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 JMIR Mhealth Uhealth Original Paper 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. JMIR Publications 2020-09-21 /pmc/articles/PMC7536607/ /pubmed/32955442 http://dx.doi.org/10.2196/17963 Text en ©Francesca Lunardini, Matteo Luperto, Marta Romeo, Nicola Basilico, Katia Daniele, Domenico Azzolino, Sarah Damanti, Carlo Abbate, Daniela Mari, Matteo Cesari, Nunzio Alberto Borghese, Simona Ferrante. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 21.09.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper 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 Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study |
title | Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study |
title_full | Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study |
title_fullStr | Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study |
title_full_unstemmed | Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study |
title_short | Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study |
title_sort | supervised digital neuropsychological tests for cognitive decline in older adults: usability and clinical validity study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536607/ https://www.ncbi.nlm.nih.gov/pubmed/32955442 http://dx.doi.org/10.2196/17963 |
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