Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review.

Brain Sci

REVAL-Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, B-3590 Diepenbeek, Belgium.

Published: September 2021

AI Article Synopsis

  • The rise of mobile technology and the Internet has opened up new opportunities for managing multiple sclerosis (MS) through mobile health applications (mHealth), focusing on rehabilitation and self-assessment.
  • A review analyzed 36 studies involving 22 mHealth applications, finding that while there is some evidence supporting their effectiveness, particularly in cognitive function and fatigue, the overall level of evidence is still unclear.
  • The results indicate that mHealth shows promise, especially for cognitive training and fatigue management, but more research is needed to validate these tools across different functioning problems in multiple sclerosis patients.

Article Abstract

The development of mobile technology and mobile Internet offers new possibilities in rehabilitation and clinical assessment in a longitudinal perspective for multiple sclerosis management. However, because the mobile health applications (mHealth) have only been developed recently, the level of evidence supporting the use of mHealth in people with multiple sclerosis (pwMS) is currently unclear. Therefore, this review aims to list and describe the different mHealth available for rehabilitation and self-assessment of pwMS and to define the level of evidence supporting these interventions for functioning problems categorized within the International Classification of Functioning, Disability and Health (ICF). In total, 36 studies, performed with 22 different mHealth, were included in this review, 30 about rehabilitation and six for self-assessment, representing 3091 patients. For rehabilitation, most of the studies were focusing on cognitive function and fatigue. Concerning the efficacy, we found a small but significant effect of the use of mHealth for cognitive training (Standardized Mean Difference (SMD) = 0.28 [0.12; 0.45]) and moderate effect for fatigue (SMD = 0.61 [0.47; 0.76]). mHealth is a promising tool in pwMS but more studies are needed to validate these solutions in the other ICF categories. More replications studies are also needed as most of the mHealth have only been assessed in one single study.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466296PMC
http://dx.doi.org/10.3390/brainsci11091187DOI Listing

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