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The mSteps pilot study: Analysis of the distance walked using a novel smartphone application in multiple sclerosis

Alexander, Sarah; Braisher, Marie; Tur, Carmen; Chataway, Jeremy; (2022) The mSteps pilot study: Analysis of the distance walked using a novel smartphone application in multiple sclerosis. Multiple Sclerosis Journal , 28 (14) pp. 2285-2293. 10.1177/13524585221124043. Green open access

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Abstract

Background: Clinical studies in multiple sclerosis (MS) often require accurate measurement of walking distance. Utilisation of electronic devices could theoretically improve this. Mobile devices have the potential to continuously monitor health by collecting movement data. Popular fitness trackers record steps taken and distance travelled, typically using a fixed-stride length. However, applications using fixed-stride length may be less accurate in those with altered gait patterns. While useful for everyday purposes, medical monitoring requires greater accuracy. Objective: Our aim was to determine the agreement and reliability of using a smartphone application to measure distance walked. Method: A phone application (mSteps) was developed and tested in a pilot study and then a validation study, looking at an indoor and outdoor setting with people with multiple sclerosis (PwMS) and a control cohort. Results: In the pilot study, the 95% limits of agreement (LOA) for outdoor tracking in control cohort lay within the a priori defined limit; however, the indoor tracking in both cohorts did not meet the defined limit. The app was then successfully validated outdoors in PwMS. Conclusion: mSteps could be used to accurately measure distance outdoors in PwMS. There is still a need for solutions to accurately and reliably measure distance walked indoors.

Type: Article
Title: The mSteps pilot study: Analysis of the distance walked using a novel smartphone application in multiple sclerosis
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1177/13524585221124043
Publisher version: https://doi.org/10.1177/13524585221124043
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation
URI: https://discovery.ucl.ac.uk/id/eprint/10165903
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