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The Cognitive Online Self-Test Amsterdam (COST-A): Establishing norm scores in a community-dwelling population

  • Leonie N.C. Visser
  • , Mark A. Dubbelman*
  • , Merike Verrijp
  • , Lisa Wanders
  • , Sophie Pelt
  • , Marissa D. Zwan
  • , Dick H.J. Thijssen
  • , Hans Wouters
  • , Sietske A.M. Sikkes
  • , Hein P.J. van Hout
  • , Wiesje M. van der Flier
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background: Heightened public awareness about Alzheimer's disease and dementia increases the need for at-home cognitive self-testing. We offered Cognitive Online Self-Test Amsterdam (COST-A) to independent groups of cognitively normal adults and investigated the robustness of a norm-score formula and cutoff. Methods: Three thousand eighty-eight participants (mean age ± standard deviation = 61 ± 12 years, 70% female) completed COST-A and evaluated it. Demographically adjusted norm scores were the difference between expected COST-A scores, based on age, gender, and education, and actual scores. We applied the resulting norm-score formula to two independent cohorts. Results: Participants evaluated COST-A to be of adequate difficulty and duration. Our norm-score formula was shown to be robust: ≈8% of participants in two cognitively normal cohorts had abnormal scores. A cutoff of -1.5 standard deviations proved optimal for distinguishing normal from impaired cognition. Conclusion: With robust norm scores, COST-A is a promising new tool for research and clinical practice, providing low cost and minimally invasive remote assessment of cognitive functioning.

Original languageEnglish
Article numbere12234
JournalAlzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
Volume13
Issue number1
DOIs
Publication statusPublished - 2021
Externally publishedYes

Keywords

  • Alzheimer's disease
  • cognition
  • normative data
  • remote assessment
  • screener
  • self-testing

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