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      Evaluation of a Telephone Version for the Montreal Cognitive Assessment: Establishing a Cutoff for Normative Data From a Cross-Sectional Study

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          Abstract

          Objective:

          Compare a telephone version and full version of the Montreal Cognitive Assessment (MoCA).

          Methods:

          Cross-sectional analysis of a prospective study. A 20-point telephone version of MoCA (Tele-MoCA) was compared to the Full-MoCA and Mini Mental State Examination.

          Results:

          Total of 140 participants enrolled. Mean scores for language were significantly lower with Tele-MoCA than with Full-MoCA (P = .003). Mean Tele-MoCA scores were significantly higher for participants with over 12 years of education (P < .001). Cutoff score of 17 for the Tele-MoCA yielded good specificity (82.2%) and negative predictive value (84.4%), while sensitivity was low (18.2%).

          Conclusions:

          Remote screening of cognition with a 20-point Tele-MoCA is as specific for defining normal cognition as the Full-MoCA. This study shows that telephone evaluation is adequate for virtual cognitive screening. Our sample did not allow accurate assessment of sensitivity for Tele-MoCA in detecting MCI or dementia. Further studies with representative populations are needed to establish sensitivity.

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          Author and article information

          Contributors
          (View ORCID Profile)
          Journal
          Journal of Geriatric Psychiatry and Neurology
          J Geriatr Psychiatry Neurol
          SAGE Publications
          0891-9887
          1552-5708
          April 16 2021
          : 089198872110026
          Affiliations
          [1 ]Rotman Research Institute, Baycrest Health Sciences, University of Toronto, Ontario, Canada
          [2 ]Department of Psychology, Concordia University, Montreal, Quebec, Canada
          [3 ]Jewish General Hospital, Lady Davis Institute, McGill University, Montreal, Quebec, Canada
          [4 ]Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
          Article
          10.1177/08919887211002640
          33858238
          dbead969-4926-453a-aa92-aec64c3e2d6b
          © 2021

          http://journals.sagepub.com/page/policies/text-and-data-mining-license

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