Wearable technologies to measure clinical outcomes in multiple sclerosis: A scoping review. (October 2021)

• Record Type: Journal Article
• Authors: Alexander, Sarah; Peryer, Guy; Gray, Emma; Barkhof, Frederik; Chataway, Jeremy
• Is Part Of: Multiple sclerosis. Volume 27:Number 11(2021)
• Page Start: 1643
• Page End: 1656
• Publication Date: 2021-10
• Subjects: Multiple sclerosis -- wearable technology -- mHealth -- biosensors -- remote sensing technology -- mobile applications; Central nervous system -- Diseases -- Periodicals; Myelin sheath -- Diseases -- Periodicals; Inflammation -- Periodicals; Multiple sclerosis -- Periodicals; Central Nervous System Diseases -- Periodicals; Demyelinating Diseases -- Periodicals; Inflammation -- Periodicals; Multiple Sclerosis -- Periodicals; Système nerveux central -- Maladies -- Périodiques; Gaine de myéline -- Maladies -- Périodiques; Inflammation (Pathologie) -- Périodiques; Sclérose en plaques -- Périodiques; Electronic journals; 616.834005
• DOI: 10.1177/1352458520946005
• Languages: English
• ISSNs: 1352-4585

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.