Litcius/Paper detail

Digital neuropsychological assessment: Feasibility and applicability in patients with acquired brain injury

Lauriane A. Spreij, Isabel K. Gosselt, Johanna M. A. Visser‐Meily, Tanja C.W. Nijboer

2020Journal of Clinical and Experimental Neuropsychology15 citationsDOIOpen Access PDF

Abstract

INTRODUCTION: Digital neuropsychological assessment (d-NPA) has several advantages over paper-and-pencil tests in neuropsychological assessment, such as a more standardized stimulus presentation and response acquisition. We investigated (1) the feasibility and user-experience of a d-NPA in patients with acquired brain injury (ABI) and healthy controls; (2) the applicability of conventional paper-and-pencil norms on digital tests; and (3) whether familiarity with a tablet would affect test performance on a tablet. METHOD: percentile, which was expected to be no more than 10%. The effect of tablet familiarity on test performance was examined with a regression-based model. RESULTS: Overall, 94% of patients completed the d-NPA. The d-NPA was considered pleasant by patients and healthy controls. Conventional norms that exist for paper-and-pencil tests were not applicable on the digital version of the tests, as up to 34% of healthy controls showed an abnormal performance on half of the tests. Tablet familiarity did not affect test performance on a tablet, indicating that participants who were more experienced with working with a tablet did not perform better on digital tests. CONCLUSIONS: The administration of a d-NPA is feasible in patients with ABI. Familiarity with a tablet did not impact test performance, which is particularly important in neuropsychological assessment. Future research should focus on developing norms in order to implement a d-NPA in clinical practice.

Topics & Concepts

PsychologyNeuropsychologyNeuropsychological assessmentAudiologyPercentileNeuropsychological testAcquired brain injuryDevelopmental psychologyCognitionMedicineRehabilitationPsychiatryNeuroscienceStatisticsMathematicsTraumatic Brain Injury ResearchDementia and Cognitive Impairment ResearchEEG and Brain-Computer Interfaces