Background The effects of multiple sclerosis (MS) on cognition have gained increasing recognition as one of the major disabling symptoms of the disease. Despite the prevalence of these symptoms and their impact on quality of life, limited attention has been given to strategies that might help manage the cognitive changes commonly experienced by persons with MS. Objective The primary purpose of this study was to determine the effectiveness of a novel computer-assisted cognitive rehabilitation intervention MAPSS-MS (Memory, Attention, Problem Solving Skills in MS) in a multi-site trial with persons with MS. Methods Persons with MS (N = 183) with cognitive concerns were randomly assigned to either the 8-week MAPSS-MS intervention or usual care plus freely available computer games. Participants completed self-report and performance measures of cognitive functioning, compensatory strategies and depression at baseline, immediately after the MAPSS-MS intervention, and three and six months post-intervention. Changes in study outcomes were analyzed using intention to treat methodology, ANOVA with repeated measures, and ANCOVA. Results Both groups improved significantly on all outcome measures. The intervention group outperformed the comparison group on all measures, and there were statistically significant differences on selected measures. Conclusion Findings suggest that MAPSS-MS is a feasible intervention that could be broadly implemented in community settings. It has been shown to be modestly successful in improving cognitive functioning.
Computer-assisted cognitive rehabilitation in persons with multiple sclerosis: Results of a multi-site randomized controlled trial with six month follow-up
Alexa Stuifbergen,H. Becker,Francisco L. Pérez,J. Morrison,Adama Brown,V. Kullberg,Wenhui Zhang
Published 2018 in Disability and Health Journal
ABSTRACT
PUBLICATION RECORD
- Publication year
2018
- Venue
Disability and Health Journal
- Publication date
2018-02-16
- Fields of study
Medicine, Computer Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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