@Article{信息:doi/10.2196/17963，作者=“Lunardini, Francesca和Luperto, Matteo和Romeo, Marta和Basilico, Nicola和Daniele, Katia和Azzolino, Domenico和Damanti, Sarah和Abbate, Carlo和Mari, Daniela和Cesari, Matteo和Borghese, Nunzio Alberto和Ferrante, Simona”，标题=“老年人认知能力下降的监督数字神经心理测试:可用性与临床效度研究”，期刊=“JMIR Mhealth Uhealth”，年=“2020”，月=“Sep”，日=“21”，卷=“8”，号=“9”，页=“e17963”，关键词=“aging”;钟测试;电脑测试;老年痴呆症;早期诊断;电子健康;轻度认知障碍;神经心理学评估;背景:痴呆是一个日益严重的重大健康问题，早期诊断是治疗的关键。 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. ", issn="2291-5222", doi="10.2196/17963", url="http://mhealth.www.mybigtv.com/2020/9/e17963/", url="https://doi.org/10.2196/17963", url="http://www.ncbi.nlm.nih.gov/pubmed/32955442" }