Wearable technologies to measure clinical outcomes in multiple sclerosis: A scoping review

Alexander, Sarah, Peryer, Guy ORCID: https://orcid.org/0000-0003-0425-6911, Gray, Emma, Barkof, Frederik and Chataway, Jeremy (2021) Wearable technologies to measure clinical outcomes in multiple sclerosis: A scoping review. Multiple Sclerosis Journal, 27 (11). pp. 1643-1656. ISSN 1352-4585

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Abstract

Wearable technology refers to any sensor worn on the person, making continuous and remote monitoring available to many people with chronic disease, including multiple sclerosis (MS). Daily monitoring seems an ideal solution either as an outcome measure or as an adjunct to support rater-based monitoring in both clinical and research settings. There has been an increase in solutions that are available, yet there is little consensus on the most appropriate solution to use in either MS research or clinical practice. We completed a scoping review (using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines) to summarise the wearable solutions available in MS, to identify those approaches that could potentially be utilised in clinical trials, by evaluating the following: scalability, cost, patient adaptability and accuracy. We identified 35 unique products that measure gait, cognition, upper limb function, activity, mood and fatigue, with most of these solutions being phone applications.

Item Type: Article
Uncontrolled Keywords: multiple sclerosis,wearable technology,mhealth,biosensors,remote sensing technology,mobile applications
Faculty \ School: Faculty of Medicine and Health Sciences > School of Health Sciences
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Groups > Rehabilitation
Faculty of Medicine and Health Sciences > Research Centres > Lifespan Health
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 07 Jul 2020 23:58
Last Modified: 19 Oct 2023 02:43
URI: https://ueaeprints.uea.ac.uk/id/eprint/75950
DOI: 10.1177/1352458520946005

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