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Unsupervised assessment of cognition in the Healthy Brain Project: Implications for web‐based registries of individuals at risk for Alzheimer's disease
INTRODUCTION: Web‐based platforms are used increasingly to assess cognitive function in unsupervised settings. The utility of cognitive data arising from unsupervised assessments remains unclear. We examined the acceptability, usability, and validity of unsupervised cognitive testing in middle‐aged...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7317647/ https://www.ncbi.nlm.nih.gov/pubmed/32607409 http://dx.doi.org/10.1002/trc2.12043 |
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author | Perin, Stephanie Buckley, Rachel F. Pase, Matthew P. Yassi, Nawaf Lavale, Alexandra Wilson, Peter H. Schembri, Adrian Maruff, Paul Lim, Yen Ying |
author_facet | Perin, Stephanie Buckley, Rachel F. Pase, Matthew P. Yassi, Nawaf Lavale, Alexandra Wilson, Peter H. Schembri, Adrian Maruff, Paul Lim, Yen Ying |
author_sort | Perin, Stephanie |
collection | PubMed |
description | INTRODUCTION: Web‐based platforms are used increasingly to assess cognitive function in unsupervised settings. The utility of cognitive data arising from unsupervised assessments remains unclear. We examined the acceptability, usability, and validity of unsupervised cognitive testing in middle‐aged adults enrolled in the Healthy Brain Project. METHODS: A total of 1594 participants completed unsupervised assessments of the Cogstate Brief Battery. Acceptability was defined by the amount of missing data, and usability by examining error of test performance and the time taken to read task instructions and complete tests (learnability). RESULTS: Overall, we observed high acceptability (98% complete data) and high usability (95% met criteria for low error rates and high learnability). Test validity was confirmed by observation of expected inverse relationships between performance and increasing test difficulty and age. CONCLUSION: Consideration of test design paired with acceptability and usability criteria can provide valid indices of cognition in the unsupervised settings used to develop registries of individuals at risk for Alzheimer's disease. |
format | Online Article Text |
id | pubmed-7317647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73176472020-06-29 Unsupervised assessment of cognition in the Healthy Brain Project: Implications for web‐based registries of individuals at risk for Alzheimer's disease Perin, Stephanie Buckley, Rachel F. Pase, Matthew P. Yassi, Nawaf Lavale, Alexandra Wilson, Peter H. Schembri, Adrian Maruff, Paul Lim, Yen Ying Alzheimers Dement (N Y) Research Articles INTRODUCTION: Web‐based platforms are used increasingly to assess cognitive function in unsupervised settings. The utility of cognitive data arising from unsupervised assessments remains unclear. We examined the acceptability, usability, and validity of unsupervised cognitive testing in middle‐aged adults enrolled in the Healthy Brain Project. METHODS: A total of 1594 participants completed unsupervised assessments of the Cogstate Brief Battery. Acceptability was defined by the amount of missing data, and usability by examining error of test performance and the time taken to read task instructions and complete tests (learnability). RESULTS: Overall, we observed high acceptability (98% complete data) and high usability (95% met criteria for low error rates and high learnability). Test validity was confirmed by observation of expected inverse relationships between performance and increasing test difficulty and age. CONCLUSION: Consideration of test design paired with acceptability and usability criteria can provide valid indices of cognition in the unsupervised settings used to develop registries of individuals at risk for Alzheimer's disease. John Wiley and Sons Inc. 2020-06-26 /pmc/articles/PMC7317647/ /pubmed/32607409 http://dx.doi.org/10.1002/trc2.12043 Text en © 2020 the Alzheimer's Association This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Perin, Stephanie Buckley, Rachel F. Pase, Matthew P. Yassi, Nawaf Lavale, Alexandra Wilson, Peter H. Schembri, Adrian Maruff, Paul Lim, Yen Ying Unsupervised assessment of cognition in the Healthy Brain Project: Implications for web‐based registries of individuals at risk for Alzheimer's disease |
title | Unsupervised assessment of cognition in the Healthy Brain Project: Implications for web‐based registries of individuals at risk for Alzheimer's disease |
title_full | Unsupervised assessment of cognition in the Healthy Brain Project: Implications for web‐based registries of individuals at risk for Alzheimer's disease |
title_fullStr | Unsupervised assessment of cognition in the Healthy Brain Project: Implications for web‐based registries of individuals at risk for Alzheimer's disease |
title_full_unstemmed | Unsupervised assessment of cognition in the Healthy Brain Project: Implications for web‐based registries of individuals at risk for Alzheimer's disease |
title_short | Unsupervised assessment of cognition in the Healthy Brain Project: Implications for web‐based registries of individuals at risk for Alzheimer's disease |
title_sort | unsupervised assessment of cognition in the healthy brain project: implications for web‐based registries of individuals at risk for alzheimer's disease |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7317647/ https://www.ncbi.nlm.nih.gov/pubmed/32607409 http://dx.doi.org/10.1002/trc2.12043 |
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