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Understanding who benefits most from cognitive rehabilitation for multiple sclerosis: A secondary data analysis
Taylor, Lauren A. Mhizha-Murira, Jacqueline R.
Taylor, Lauren A.
Mhizha-Murira, Jacqueline R.
Abstract
BACKGROUND: Up to 70% of people with multiple sclerosis (MS) experience cognitive difficulties. Cognitive rehabilitation is a type of therapy that helps manage cognitive problems. OBJECTIVE: The Cognitive Rehabilitation for Attention and Memory in MS (CRAMMS) trial showed some evidence of effectiveness of cognitive rehabilitation in improving cognitive function, with some participants benefitting more than others. We therefore conducted a secondary analysis of the CRAMMS data to understand who benefits most. METHODS: We grouped baseline data into four categories of possible predictors. We used regression models to identify specific factors/characteristics that could predict the likelihood that an individual will benefit from cognitive rehabilitation. RESULTS: The models predicted whether a participant improved or did not improve in neuropsychological function following cognitive rehabilitation in up to 86% of participants. Results suggest that younger participants with medium to high education, diagnosed with relapsing-remitting multiple sclerosis (RRMS) and primary-progressive multiple sclerosis (PPMS) who have not experienced any recent relapses, with mild to moderate cognitive difficulties were most likely to benefit from cognitive rehabilitation. CONCLUSION: We can predict which participants are most likely to demonstrate significant improvements in neuropsychological function following group-based cognitive rehabilitation. Clinically, this allows us to optimise limited neuropsychology resources by offering such cognitive rehabilitation to those most likely to benefit.
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2023
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Article
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Multiple sclerosis, Attention, Cognition, Memory, Neurological rehabilitation, Neuropsychology
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Taylor, L. A., Mhizha-Murira, J. R., Law, G., Evangelou, N. & das Nair, R. (2023). Understanding who benefits most from cognitive rehabilitation for multiple sclerosis: A secondary data analysis. Multiple Sclerosis Journal, DOI: 10.1177/13524585231189470
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© The Author(s), 2023.
Creative Commons License (CC BY 4.0)
This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
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