Journal of Primary Care & Community Health (Mar 2024)

Assessment of Mild Cognitive Impairment Using CogEvo: A Computerized Cognitive Function Assessment Tool

  • Toru Satoh,
  • Yoichi Sawada,
  • Hideaki Saba,
  • Hiroshi Kitamoto,
  • Yoshiki Kato,
  • Yoshiko Shiozuka,
  • Tomoko Kuwada,
  • Sayoko Shima,
  • Kana Murakami,
  • Megumi Sasaki,
  • Yudai Abe,
  • Kaori Harano

DOI
https://doi.org/10.1177/21501319241239228
Journal volume & issue
Vol. 15

Abstract

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Introduction/Objectives: To assess the utility of the computerized cognitive function assessment tool, CogEvo, as a screening tool for mild cognitive impairment in primary care, we explored the relationship between CogEvo performance, age, and the severity of cognitive dysfunction evaluated by the Mini-Mental State Examination (MMSE). Methods: The observational cross-sectional study included 209 individuals’ data (mean age 79.4 ± 8.9 years). We conducted a correlation analysis between CogEvo and MMSE scores, compared the performance among the 3 cognitive function groups (MMSE ≥ 28 group; MMSE24-27 group; MMSE ≤ 23 group) using the MMSE cut-off, and evaluated CogEvo’s predictive accuracy for cognitive dysfunction through ROC analysis. Results: Both total CogEvo and MMSE scores significantly decreased with age. A significant positive correlation was observed between total CogEvo and MMSE scores, but a ceiling effect was detected in MMSE performance. Significant differences were observed in the total CogEvo score, including orientation and spatial cognitive function scores, among the 3 groups. CogEvo showed no educational bias. ROC analyses indicated moderate discrimination between the MMSE ≥ 28 group and the MMSE24-27 and MMSE ≤ 23 groups. Conclusions: The computer-administered CogEvo has the advantage of not exhibiting ceiling effects or educational bias like the MMSE, and was found to be able to detect age-related cognitive decline and impairment.