Literature DB >> 29246607

Smart watch, smarter EDSS: Improving disability assessment in multiple sclerosis clinical practice.

Gloria Dalla-Costa1, Marta Radaelli1, Simona Maida1, Francesca Sangalli1, Bruno Colombo1, Lucia Moiola1, Giancarlo Comi1, Vittorio Martinelli2.   

Abstract

BACKGROUND: Patients' walking ability is critical for assessing the EDSS, the disability scale commonly used in MS clinical practice. Such assessment is usually based on patients' estimates or on the measures the neurologists observe during periodic visits. OBJECTIVES AND METHODS: We evaluated the agreement between patients' and neurologists' estimates of maximum walking ability and patients' mean maximum walking ability measured in their daily life through a GPS smartwatch, and assessed limitations of the current methods.
RESULTS: Seventy-three patients with a median walking ability of 500m (IQR 400-800) were enrolled in the study. The agreement between patients' estimates and GPS measurements was modest (ICC 0.29, 95% CIs 0.06-0.49) and was influenced by course of the disease, patients' mood and inaccuracy at estimating long distances. A better reliability was found between neurologists' and GPS measures (ICC 0.68, 95% CIs 0.53-0.78), but the variability increased for longer distances and was influenced by patients' depressive symptoms, fatigue and course of the disease.
CONCLUSIONS: This study showed a poor agreement between patients' and neurologists' estimates of maximum walking ability and patients' mean maximum walking ability measured in their daily life through a GPS smartwatch, with many factors affecting patient's and neurologists' estimates of the EDSS. The use of remote measurement technologies may provide a better understanding of the impact of MS in a patient's life.
Copyright © 2017. Published by Elsevier B.V.

Entities:  

Keywords:  Disability; EDSS; GPS tracking technologies; Multiple sclerosis; Remote monitoring technologies; Walking distance

Mesh:

Year:  2017        PMID: 29246607     DOI: 10.1016/j.jns.2017.10.043

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  5 in total

1.  What the Tech? The Management of Neurological Dysfunction Through the Use of Digital Technology.

Authors:  Caitlin Carswell; Paul M Rea
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

2.  Using real-world accelerometry-derived diurnal patterns of physical activity to evaluate disability in multiple sclerosis.

Authors:  Jennifer L Keller; Fan Tian; Kathryn C Fitzgerald; Leah Mische; Jesse Ritter; M Gabriela Costello; Ellen M Mowry; Vadim Zippunikov; Kathleen M Zackowski
Journal:  J Rehabil Assist Technol Eng       Date:  2022-01-12

Review 3.  Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review.

Authors:  Elizabeth S Gromisch; Aaron P Turner; Jodie K Haselkorn; Albert C Lo; Thomas Agresta
Journal:  JAMIA Open       Date:  2020-12-15

Review 4.  Remote Patient Monitoring for Neuropsychiatric Disorders: A Scoping Review of Current Trends and Future Perspectives from Recent Publications and Upcoming Clinical Trials.

Authors:  Tetsuo Sakamaki; Yoshihiko Furusawa; Ayako Hayashi; Masaru Otsuka; Jovelle Fernandez
Journal:  Telemed J E Health       Date:  2022-01-24       Impact factor: 5.033

5.  Measuring Outdoor Walking Capacities Using Global Positioning System in People with Multiple Sclerosis: Clinical and Methodological Insights from an Exploratory Study.

Authors:  Coralie Delahaye; Dorine Chaves; Florian Congnard; Bénédicte Noury-Desvaux; Pierre-Yves de Müllenheim
Journal:  Sensors (Basel)       Date:  2021-05-04       Impact factor: 3.576

  5 in total

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