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

IF 1.9 Q3 CLINICAL NEUROLOGY
Xuhao Zhao , Haoxuan Wen , Guohai Xu , Ting Pang , Yaping Zhang , Xindi He , Ruofei Hu , Ming Yan , Christopher Chen , Xin Xu
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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.

基于语音识别的中国社区老年人痴呆和轻度认知障碍数字认知筛查的有效性、可行性和有效性:大规模实施研究
方法符合条件的参与者完成了人口统计学、生活方式调查和数字认知筛查。通过全面的神经心理学测试对特定领域和整体认知进行评估。根据临床痴呆评级诊断轻度认知障碍(MCI)和痴呆。对 DCS 的完成率和施测时间进行了记录。评估了 DCS 与特定领域和整体认知表现之间的相关性。受试者操作特征(ROC)分析检验了 DCS 在检测 MCI 和痴呆症方面的鉴别有效性。结果在11186名参与者中,DCS的完成率为97-5%,完成时间为5-6-6-1分钟,与性别、年龄和教育程度无关。DCS总分与特定领域和总体认知Z分数有明显关联。痴呆和 MCI 检测的 DCS 曲线下面积(AUC)分别为 0-95 (0-92, 0-99) 和 0-83 (0-79, 0-88)。不同年龄和教育程度的亚组之间的AUC没有明显差异。与MoCA和MMSE相比,DCS在识别痴呆症病例方面节省了35-4%-36-0%和30-7%-31-2%的时间,在识别MCI病例方面节省了22-6%-22-8%和16-2%-16-4%的时间。在中国老年人中大规模实施 DCS 可能是改善医疗资源管理的一种实用认知筛查策略。
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来源期刊
Cerebral circulation - cognition and behavior
Cerebral circulation - cognition and behavior Neurology, Clinical Neurology
CiteScore
2.00
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14 weeks
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