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Converting from the Montreal Cognitive Assessment to the Mini-Mental State Examination-2

Authors
Yang, HwabeenYim, DaehyukPark, Moon Ho
Issue Date
8-7월-2021
Publisher
PUBLIC LIBRARY SCIENCE
Citation
PLOS ONE, v.16, no.7
Indexed
SCIE
SCOPUS
Journal Title
PLOS ONE
Volume
16
Number
7
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/137142
DOI
10.1371/journal.pone.0254055
ISSN
1932-6203
Abstract
Objective The Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination-2 (MMSE-2) are useful psychometric tests for cognitive screening. Many clinicians want to predict the MMSE-2 score based on the MoCA score. To facilitate the transition from the MoCA to the MMSE-2, this study developed a conversion method. Methods This study retrospectively examined the relationship between the MoCA and MMSE-2. Overall, 303 participants were evaluated. We produced a conversion table using the equipercentile equating method with log-linear smoothing. Then, we evaluated the reliability and accuracy of this algorithm to convert the MoCA to the MMSE-2. Results MoCA scores were converted to MMSE-2 scores according to a conversion table that achieved a reliability of 0.961 (intraclass correlation). The accuracy of this algorithm was 84.5% within 3 points difference from the raw score. Conclusions This study reports a reliable and easy conversion algorithm for transforming MoCA scores into converted MMSE-2 scores. This method will greatly enhance the utility of existing cognitive data in clinical and research settings.
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