Validity, Feasibility and Effectiveness of a Voice-recognition Based Digital Cognitive Screener for Dementia and Mild Cognitive Impairment in Community-dwelling Older Chinese Adults: A Large-scale Implementation Study
Xuhao Zhao , Haoxuan Wen , Guohai Xu , Ting Pang , Yaping Zhang , Xindi He , Ruofei Hu , Ming Yan , Christopher Chen , Xin Xu
{"title":"Validity, Feasibility and Effectiveness of a Voice-recognition Based Digital Cognitive Screener for Dementia and Mild Cognitive Impairment in Community-dwelling Older Chinese Adults: A Large-scale Implementation Study","authors":"Xuhao Zhao , Haoxuan Wen , Guohai Xu , Ting Pang , Yaping Zhang , Xindi He , Ruofei Hu , Ming Yan , Christopher Chen , Xin Xu","doi":"10.1016/j.cccb.2024.100234","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>To investigate the psychometric properties, administration efficiency and implementational feasibility of a previously piloted voice recognition- based digital cognitive screener for dementia detection in a large-scale community of elderly participants.</p></div><div><h3>Methods</h3><p>Eligible participants completed the demographic, lifestyle investigations and the DCS. Domain-specific and global cognition was assessed by a comprehensive neuropsychological test battery. Diagnosis of mild cognitive impairment(MCI) and dementia was made based on the clinical dementia rating. Completion rate and administration time for the DCS were recorded. Correlation between the DCS and domain-specific and global cognitive performance were assessed. Receiver operating characteristic (ROC) analyses examined the discriminate validity of the DCS in detecting MCI and dementia. A cost-consequences analysis was conducted to compare the screening efficacy of DCS with two traditionally administered cognitive assessment tools, the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), was conducted.</p></div><div><h3>Results</h3><p>Among a total of 11,186 participants, the completion rate of the DCS was 97·5% with a conduction time of 5·6–6·1 minutes, regardless of gender, age and education stratifications. DCS total score was significantly associated with domain-specific and global cognitive z-scores. Area under the curves (AUCs) of the DCS were 0·95 (0·92, 0·99) and 0·83 (0·79, 0·88) for dementia and MCI detection, respectively. There was no significant difference on the AUCs among different age- and education-stratified subgroups. Comparing with the MoCA and MMSE, DCS resulted in time savings of 35·4%–36·0% and 30·7%–31·2% for identifying dementia cases, as well as 22·6%–22·8% and 16·2%–16·4% for identifying MCI cases.</p></div><div><h3>Discussion</h3><p>Our findings demonstrated that the DCS was an effective and efficient tool for case-finding of dementia and MCI in a Chinese community. The large-scale implementation of the DCS among older Chinese adults could be a practical cognitive screening strategy to improve the management of healthcare resources.</p></div>","PeriodicalId":72549,"journal":{"name":"Cerebral circulation - cognition and behavior","volume":"6 ","pages":"Article 100234"},"PeriodicalIF":1.9000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666245024000357/pdfft?md5=8e249273e82160bfad9952c03321a1fc&pid=1-s2.0-S2666245024000357-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cerebral circulation - cognition and behavior","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666245024000357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction
To investigate the psychometric properties, administration efficiency and implementational feasibility of a previously piloted voice recognition- based digital cognitive screener for dementia detection in a large-scale community of elderly participants.
Methods
Eligible participants completed the demographic, lifestyle investigations and the DCS. Domain-specific and global cognition was assessed by a comprehensive neuropsychological test battery. Diagnosis of mild cognitive impairment(MCI) and dementia was made based on the clinical dementia rating. Completion rate and administration time for the DCS were recorded. Correlation between the DCS and domain-specific and global cognitive performance were assessed. Receiver operating characteristic (ROC) analyses examined the discriminate validity of the DCS in detecting MCI and dementia. A cost-consequences analysis was conducted to compare the screening efficacy of DCS with two traditionally administered cognitive assessment tools, the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), was conducted.
Results
Among a total of 11,186 participants, the completion rate of the DCS was 97·5% with a conduction time of 5·6–6·1 minutes, regardless of gender, age and education stratifications. DCS total score was significantly associated with domain-specific and global cognitive z-scores. Area under the curves (AUCs) of the DCS were 0·95 (0·92, 0·99) and 0·83 (0·79, 0·88) for dementia and MCI detection, respectively. There was no significant difference on the AUCs among different age- and education-stratified subgroups. Comparing with the MoCA and MMSE, DCS resulted in time savings of 35·4%–36·0% and 30·7%–31·2% for identifying dementia cases, as well as 22·6%–22·8% and 16·2%–16·4% for identifying MCI cases.
Discussion
Our findings demonstrated that the DCS was an effective and efficient tool for case-finding of dementia and MCI in a Chinese community. The large-scale implementation of the DCS among older Chinese adults could be a practical cognitive screening strategy to improve the management of healthcare resources.