Reliability of remote National Alzheimer's Coordinating Center Uniform Data Set data

Abstract INTRODUCTION The National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) neuropsychological battery is being used to track cognition in participants across the country, but it is unknown if scores obtained through remote administration can be combined with data obtained...

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Main Authors: Viktorija Smith, Kyan Younes, Kathleen L. Poston, Elizabeth C. Mormino, Christina B. Young
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Subjects:
Online Access:https://doi.org/10.1002/dad2.12498
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author Viktorija Smith
Kyan Younes
Kathleen L. Poston
Elizabeth C. Mormino
Christina B. Young
author_facet Viktorija Smith
Kyan Younes
Kathleen L. Poston
Elizabeth C. Mormino
Christina B. Young
author_sort Viktorija Smith
collection DOAJ
description Abstract INTRODUCTION The National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) neuropsychological battery is being used to track cognition in participants across the country, but it is unknown if scores obtained through remote administration can be combined with data obtained in person. METHODS The remote UDS battery includes the blind version of the Montreal Cognitive Assessment (MoCA), Number Span, Semantic and Phonemic Fluency, and Craft Story. For these tests, we assessed intraclass correlation coefficients (ICCs) between in‐person and remote scores in 3838 participants with both in‐person and remote UDS assessments, and we compared annual score changes between modalities in a subset that had two remote assessments. RESULTS All tests exhibited moderate to good reliability between modalities (ICCs = 0.590–0.787). Annual score changes were also comparable between modalities except for Craft Story Immediate Recall, Semantic Fluency, and Phonemic Fluency. DISCUSSION Our findings generally support combining remote and in‐person scores for the majority of UDS tests.
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spelling doaj.art-9fda87c2dea14aa7b6df9e7727f18d292023-12-28T01:18:31ZengWileyAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring2352-87292023-10-01154n/an/a10.1002/dad2.12498Reliability of remote National Alzheimer's Coordinating Center Uniform Data Set dataViktorija Smith0Kyan Younes1Kathleen L. Poston2Elizabeth C. Mormino3Christina B. Young4Department of Neurology and Neurological Sciences Stanford University School of Medicine Palo Alto California USADepartment of Neurology and Neurological Sciences Stanford University School of Medicine Palo Alto California USADepartment of Neurology and Neurological Sciences Stanford University School of Medicine Palo Alto California USADepartment of Neurology and Neurological Sciences Stanford University School of Medicine Palo Alto California USADepartment of Neurology and Neurological Sciences Stanford University School of Medicine Palo Alto California USAAbstract INTRODUCTION The National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) neuropsychological battery is being used to track cognition in participants across the country, but it is unknown if scores obtained through remote administration can be combined with data obtained in person. METHODS The remote UDS battery includes the blind version of the Montreal Cognitive Assessment (MoCA), Number Span, Semantic and Phonemic Fluency, and Craft Story. For these tests, we assessed intraclass correlation coefficients (ICCs) between in‐person and remote scores in 3838 participants with both in‐person and remote UDS assessments, and we compared annual score changes between modalities in a subset that had two remote assessments. RESULTS All tests exhibited moderate to good reliability between modalities (ICCs = 0.590–0.787). Annual score changes were also comparable between modalities except for Craft Story Immediate Recall, Semantic Fluency, and Phonemic Fluency. DISCUSSION Our findings generally support combining remote and in‐person scores for the majority of UDS tests.https://doi.org/10.1002/dad2.12498cognitionintraclass correlation coefficientsNACCremote assessmenttelehealthteleneuropsychology
spellingShingle Viktorija Smith
Kyan Younes
Kathleen L. Poston
Elizabeth C. Mormino
Christina B. Young
Reliability of remote National Alzheimer's Coordinating Center Uniform Data Set data
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
cognition
intraclass correlation coefficients
NACC
remote assessment
telehealth
teleneuropsychology
title Reliability of remote National Alzheimer's Coordinating Center Uniform Data Set data
title_full Reliability of remote National Alzheimer's Coordinating Center Uniform Data Set data
title_fullStr Reliability of remote National Alzheimer's Coordinating Center Uniform Data Set data
title_full_unstemmed Reliability of remote National Alzheimer's Coordinating Center Uniform Data Set data
title_short Reliability of remote National Alzheimer's Coordinating Center Uniform Data Set data
title_sort reliability of remote national alzheimer s coordinating center uniform data set data
topic cognition
intraclass correlation coefficients
NACC
remote assessment
telehealth
teleneuropsychology
url https://doi.org/10.1002/dad2.12498
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