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使用按键式电话进行计算机自动痴呆筛查。

Computer-automated dementia screening using a touch-tone telephone.

作者信息

Mundt J C, Ferber K L, Rizzo M, Greist J H

机构信息

Healthcare Technology Systems Inc, 7617 Mineral Point Rd, Suite 300, Madison, WI 53717, USA.

出版信息

Arch Intern Med. 2001 Nov 12;161(20):2481-7. doi: 10.1001/archinte.161.20.2481.

Abstract

BACKGROUND

This study investigated the sensitivity and specificity of a computer-automated telephone system to evaluate cognitive impairment in elderly callers to identify signs of early dementia.

METHODS

The Clinical Dementia Rating Scale was used to assess 155 subjects aged 56 to 93 years (n = 74, 27, 42, and 12, with a Clinical Dementia Rating Scale score of 0, 0.5, 1, and 2, respectively). These subjects performed a battery of tests administered by an interactive voice response system using standard Touch-Tone telephones. Seventy-four collateral informants also completed an interactive voice response version of the Symptoms of Dementia Screener.

RESULTS

Sixteen cognitively impaired subjects were unable to complete the telephone call. Performances on 6 of 8 tasks were significantly influenced by Clinical Dementia Rating Scale status. The mean (SD) call length was 12 minutes 27 seconds (2 minutes 32 seconds). A subsample (n = 116) was analyzed using machine-learning methods, producing a scoring algorithm that combined performances across 4 tasks. Results indicated a potential sensitivity of 82.0% and specificity of 85.5%. The scoring model generalized to a validation subsample (n = 39), producing 85.0% sensitivity and 78.9% specificity. The kappa agreement between predicted and actual group membership was 0.64 (P<.001). Of the 16 subjects unable to complete the call, 11 provided sufficient information to permit us to classify them as impaired. Standard scoring of the interactive voice response-administered Symptoms of Dementia Screener (completed by informants) produced a screening sensitivity of 63.5% and 100% specificity. A lower criterion found a 90.4% sensitivity, without lowering specificity.

CONCLUSIONS

Computer-automated telephone screening for early dementia using either informant or direct assessment is feasible. Such systems could provide wide-scale, cost-effective screening, education, and referral services to patients and caregivers.

摘要

背景

本研究调查了一种计算机自动电话系统评估老年来电者认知障碍以识别早期痴呆迹象的敏感性和特异性。

方法

采用临床痴呆评定量表对155名年龄在56至93岁的受试者进行评估(分别为74、27、42和12名,临床痴呆评定量表得分分别为0、0.5、1和2)。这些受试者通过使用标准按键式电话的交互式语音应答系统进行了一系列测试。74名旁系信息提供者也完成了痴呆筛查症状的交互式语音应答版本。

结果

16名认知受损受试者无法完成电话通话。8项任务中的6项表现受临床痴呆评定量表状态的显著影响。平均(标准差)通话时长为12分27秒(2分32秒)。使用机器学习方法对一个子样本(n = 116)进行分析,生成了一种结合4项任务表现的评分算法。结果显示潜在敏感性为82.0%,特异性为85.5%。该评分模型推广到一个验证子样本(n = 39),敏感性为85.0%,特异性为78.9%。预测组与实际组成员之间的kappa一致性为0.64(P <.001)。在16名无法完成通话的受试者中,11名提供了足够信息使我们能够将他们归类为受损。由信息提供者完成的交互式语音应答管理的痴呆筛查症状标准评分产生的筛查敏感性为63.5%,特异性为100%。较低的标准发现敏感性为90.4%,而不降低特异性。

结论

使用信息提供者或直接评估的计算机自动电话筛查早期痴呆是可行的。此类系统可为患者和护理人员提供大规模、具有成本效益的筛查、教育和转诊服务。

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