Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK/University College London Hospitals Biomedical Research Centre, National Institute for Health Research, London, UK.
Mult Scler. 2022 Dec;28(14):2285-2293. doi: 10.1177/13524585221124043. Epub 2022 Sep 30.
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.
Our aim was to determine the agreement and reliability of using a smartphone application to measure distance walked.
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.
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.
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.
多发性硬化症(MS)的临床研究通常需要准确测量行走距离。电子设备的使用理论上可以改善这一点。移动设备具有通过收集运动数据来持续监测健康的潜力。流行的健身追踪器记录所走的步数和行进的距离,通常使用固定步长。然而,对于步态模式改变的人来说,使用固定步长的应用程序可能不太准确。虽然对于日常用途很有用,但医疗监测需要更高的准确性。
我们的目的是确定使用智能手机应用程序测量行走距离的一致性和可靠性。
开发了一个电话应用程序(mSteps),并在试点研究和验证研究中进行了测试,该研究在多发性硬化症患者(PwMS)和对照组中进行了室内和室外环境的研究。
在试点研究中,对照组室外跟踪的 95%一致性界限(LOA)在预先定义的界限内;然而,两组的室内跟踪都没有达到定义的界限。然后,该应用程序在 PwMS 患者的户外得到了成功验证。
mSteps 可用于准确测量 PwMS 患者的户外距离。仍需要解决准确可靠地测量室内行走距离的问题。