Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Cognitive assessment of post-stroke patients with and without aphasia: The Hebrew version of the Cognitive Assessment for Stroke Patients (CASP) vs. the Montreal Cognitive Assessment (MoCA).

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
Read Online Read More Add to Saved list
  • Additional Information
    • Abstract:
      Cognitive screening assessments for neurological deficits are critical to the initial assessment of post-stroke patients. However, most measures are not designed for post-stroke patients and in particular not for people with aphasia (PWA), because they rely on language functions. The Cognitive Assessment for Stroke Patients (CASP) is a screening test that can also be administered to PWA, and was recently adapted into Hebrew. The current study aimed to compare the performance of post-stroke patients on the Hebrew versions of the CASP and the Montreal Cognitive Assessment (MoCA). Forty medical records of post-stroke patients were retrospectively examined: Twenty participants without aphasia and 20 PWA. The data included demographics, total CASP and MoCA scores, and scores in specific cognitive domains. Correlations were found between total CASP and MoCA scores, for all participants as well as for each group separately. Comparisons between groups revealed significantly higher performance of the participants without aphasia on the MoCA, but not on the CASP. Clinically, these findings suggest that the Hebrew version of the CASP can be implemented as a formal cognitive screening test for post-stroke patients, including PWA. It can help identifying PWA's cognitive state and differentiate between language and cognitive impairments, hence, contributing in planning targeted treatment. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Applied Neuropsychology: Adult is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)