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

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  • Hwabeen Yang
  • Daehyuk Yim
  • Moon Ho Park

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.

Suggested Citation

  • Hwabeen Yang & Daehyuk Yim & Moon Ho Park, 2021. "Converting from the Montreal Cognitive Assessment to the Mini-Mental State Examination-2," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-11, July.
    • Handle: RePEc:plo:pone00:0254055
    DOI: 10.1371/journal.pone.0254055
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