Cargando…
Psychometric and diagnostic properties of the Taiwan version of the Quick Mild Cognitive Impairment screen
There is a need for a screening tool with capacities of accurate detection of early mild cognitive impairment (MCI) and dementia and is suitable for use in a range of languages and cultural contexts. This research aims to evaluate the psychometric and diagnostic properties of the Taiwan version of Q...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6277119/ https://www.ncbi.nlm.nih.gov/pubmed/30507928 http://dx.doi.org/10.1371/journal.pone.0207851 |
_version_ | 1783378104083808256 |
---|---|
author | Lee, Meng-Ta Chang, Wan-Ying Jang, Yuh |
author_facet | Lee, Meng-Ta Chang, Wan-Ying Jang, Yuh |
author_sort | Lee, Meng-Ta |
collection | PubMed |
description | There is a need for a screening tool with capacities of accurate detection of early mild cognitive impairment (MCI) and dementia and is suitable for use in a range of languages and cultural contexts. This research aims to evaluate the psychometric and diagnostic properties of the Taiwan version of Qmci (Qmci-TW) screen and to explore the discriminating ability of the Qmci-TW in differentiating among normal controls (NCs), MCI and dementia. Thirty-one participants with dementia and 36 with MCI and 35 NCs were recruited from a neurology department of regional hospital in Taiwan. Their results on the Qmci-TW, Taiwanese version of the Montreal Cognitive Assessment (MoCA), and Traditional Chinese version of the Mini–Mental State Examination (MMSE) were compared. For analysis, we used Cronbach’s α, intraclass correlation coefficient, Spearman’s ρ, Kruskal–Wallis test, receiver operating characteristic curve analysis, and multivariate analysis, as appropriate. The Qmci-TW exhibited satisfactory test–retest reliability, internal consistency, and interrater reliability as well as a strong positive correlation with results from the MoCA and MMSE. The optimal cut-off score on the Qmci-TW for differentiating MCI from NC was ≤ 51.5/100 and dementia from MCI was ≤ 31/100. The MoCA exhibited the highest accuracy in differentiating MCI from NC, followed by the Qmci-TW and then MMSE; whereas, the Qmci-TW and MMSE exhibited the same accuracy in differentiating dementia from MCI, followed by the MoCA. The Qmci-TW may be a useful clinical screening tool for a spectrum of cognitive impairments. |
format | Online Article Text |
id | pubmed-6277119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62771192018-12-20 Psychometric and diagnostic properties of the Taiwan version of the Quick Mild Cognitive Impairment screen Lee, Meng-Ta Chang, Wan-Ying Jang, Yuh PLoS One Research Article There is a need for a screening tool with capacities of accurate detection of early mild cognitive impairment (MCI) and dementia and is suitable for use in a range of languages and cultural contexts. This research aims to evaluate the psychometric and diagnostic properties of the Taiwan version of Qmci (Qmci-TW) screen and to explore the discriminating ability of the Qmci-TW in differentiating among normal controls (NCs), MCI and dementia. Thirty-one participants with dementia and 36 with MCI and 35 NCs were recruited from a neurology department of regional hospital in Taiwan. Their results on the Qmci-TW, Taiwanese version of the Montreal Cognitive Assessment (MoCA), and Traditional Chinese version of the Mini–Mental State Examination (MMSE) were compared. For analysis, we used Cronbach’s α, intraclass correlation coefficient, Spearman’s ρ, Kruskal–Wallis test, receiver operating characteristic curve analysis, and multivariate analysis, as appropriate. The Qmci-TW exhibited satisfactory test–retest reliability, internal consistency, and interrater reliability as well as a strong positive correlation with results from the MoCA and MMSE. The optimal cut-off score on the Qmci-TW for differentiating MCI from NC was ≤ 51.5/100 and dementia from MCI was ≤ 31/100. The MoCA exhibited the highest accuracy in differentiating MCI from NC, followed by the Qmci-TW and then MMSE; whereas, the Qmci-TW and MMSE exhibited the same accuracy in differentiating dementia from MCI, followed by the MoCA. The Qmci-TW may be a useful clinical screening tool for a spectrum of cognitive impairments. Public Library of Science 2018-12-03 /pmc/articles/PMC6277119/ /pubmed/30507928 http://dx.doi.org/10.1371/journal.pone.0207851 Text en © 2018 Lee et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lee, Meng-Ta Chang, Wan-Ying Jang, Yuh Psychometric and diagnostic properties of the Taiwan version of the Quick Mild Cognitive Impairment screen |
title | Psychometric and diagnostic properties of the Taiwan version of the Quick Mild Cognitive Impairment screen |
title_full | Psychometric and diagnostic properties of the Taiwan version of the Quick Mild Cognitive Impairment screen |
title_fullStr | Psychometric and diagnostic properties of the Taiwan version of the Quick Mild Cognitive Impairment screen |
title_full_unstemmed | Psychometric and diagnostic properties of the Taiwan version of the Quick Mild Cognitive Impairment screen |
title_short | Psychometric and diagnostic properties of the Taiwan version of the Quick Mild Cognitive Impairment screen |
title_sort | psychometric and diagnostic properties of the taiwan version of the quick mild cognitive impairment screen |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6277119/ https://www.ncbi.nlm.nih.gov/pubmed/30507928 http://dx.doi.org/10.1371/journal.pone.0207851 |
work_keys_str_mv | AT leemengta psychometricanddiagnosticpropertiesofthetaiwanversionofthequickmildcognitiveimpairmentscreen AT changwanying psychometricanddiagnosticpropertiesofthetaiwanversionofthequickmildcognitiveimpairmentscreen AT jangyuh psychometricanddiagnosticpropertiesofthetaiwanversionofthequickmildcognitiveimpairmentscreen |