Department of Mechanical Engineering & INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sir Frederick Mappin Building, Mappin Street, Sheffield S1 3JD, UK.
School of Public Health, Physiotherapy and Sports Science, University College Dublin, 4 Dublin, Ireland.
Sensors (Basel). 2020 Nov 14;20(22):6509. doi: 10.3390/s20226509.
Continuous monitoring by wearable technology is ideal for quantifying mobility outcomes in "real-world" conditions. Concurrent factors such as validity, usability, and acceptability of such technology need to be accounted for when choosing a monitoring device. This study proposes a bespoke methodology focused on defining a decision matrix to allow for effective decision making. A weighting system based on responses ( = 69) from a purpose-built questionnaire circulated within the IMI Mobilise-D consortium and its external collaborators was established, accounting for respondents' background and level of expertise in using wearables in clinical practice. Four domains (concurrent validity, CV; human factors, HF; wearability and usability, WU; and data capture process, CP), associated evaluation criteria, and scores were established through literature research and group discussions. While the CV was perceived as the most relevant domain (37%), the others were also considered highly relevant (WU: 30%, HF: 17%, CP: 16%). Respondents (~90%) preferred a hidden fixation and identified the lower back as an ideal sensor location for mobility outcomes. Overall, this study provides a novel, holistic, objective, as well as a standardized approach accounting for complementary aspects that should be considered by professionals and researchers when selecting a solution for continuous mobility monitoring.
可穿戴技术的连续监测非常适合在“真实世界”条件下量化移动结果。在选择监测设备时,需要考虑到此类技术的有效性、可用性和可接受性等相关因素。本研究提出了一种定制方法,重点是定义决策矩阵,以实现有效的决策制定。建立了一个基于响应的加权系统(= 69),这些响应来自 IMI Mobilise-D 联盟及其外部合作者内部专门设计的问卷调查,考虑到了受访者在临床实践中使用可穿戴设备的背景和专业水平。通过文献研究和小组讨论,确定了四个领域(并发有效性,CV;人为因素,HF;可穿戴性和可用性,WU;以及数据采集过程,CP)、相关评估标准和得分。虽然 CV 被认为是最相关的领域(37%),但其他领域也被认为非常相关(WU:30%,HF:17%,CP:16%)。受访者(~90%)更喜欢隐藏式固定,并认为传感器的理想位置是下背部,用于监测移动结果。总的来说,这项研究提供了一种新颖、全面、客观的方法,以及一种标准化的方法,考虑了专业人士和研究人员在选择连续移动监测解决方案时应该考虑的互补方面。