The IQCODE Versus a Single-Item Informant Measure to Discriminate Between Cognitively Intact Individuals and Individuals With Dementia or Cognitive Impairment

Author:

Ayalon Liat1

Affiliation:

1. The Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel

Abstract

The present study evaluated the short Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE 2-year version) against a single item concerning informant’s perception of patient’s memory, as screening tools for CIND not dementia (CIND) and dementia. Data were drawn from the Aging, Demographics, and Memory Study, which is a national study that was specifically designed to provide population-based estimates of cognitive impairment and dementia in the United States. The study employed a comprehensive dementia evaluation that yielded an expert consensus-based diagnosis. Receiver-operating curves, sensitivity, specificity, negative predictive value, and positive predictive value were calculated. Both the IQCODE and the single-item instrument demonstrated only mild-to-moderate abilities to discriminate between cognitively intact individuals and individuals with CIND. Whereas the ability of the IQCODE to discriminate between cognitively intact individuals and individuals with dementia was moderate, the single-item instrument showed an adequate ability to distinguish between cognitively intact individuals and individuals with dementia. Therefore, for screening purposes, asking informants a single question concerning patients' memory is sufficient. However, if additional data concerning patients' strengths and weaknesses are needed, the IQCODE may be desirable.

Publisher

SAGE Publications

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Neurology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3