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Wearable technologies to measure clinical outcomes in multiple sclerosis: A scoping review.
Alexander, Sarah; Peryer, Guy; Gray, Emma; Barkhof, Frederik; Chataway, Jeremy.
Afiliação
  • Alexander S; Queen Square MS Centre and Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
  • Peryer G; School of Health Sciences, University of East Anglia, Norwich, UK.
  • Gray E; The Multiple Sclerosis Society, London, UK.
  • Barkhof F; Queen Square MS Centre and Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK/Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London
  • Chataway J; Queen Square MS Centre and Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK/National Institute for Health Research (NIHR), Biomedical Research Centre, University College London Hospitals (UCLH), London, UK/MRC
Mult Scler ; 27(11): 1643-1656, 2021 10.
Article em En | MEDLINE | ID: mdl-32749928
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dispositivos Eletrônicos Vestíveis / Esclerose Múltipla Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Mult Scler Assunto da revista: NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dispositivos Eletrônicos Vestíveis / Esclerose Múltipla Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Mult Scler Assunto da revista: NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido