Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
School of Computer Science, Electrical and Electronic Engineering, and Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol, UK.
J Parkinsons Dis. 2020;10(2):429-454. doi: 10.3233/JPD-191781.
The emergence of new technologies measuring outcomes in Parkinson's disease (PD) to complement the existing clinical rating scales has introduced the possibility of measurement occurring in patients' own homes whilst they freely live and carry out normal day-to-day activities.
This systematic review seeks to provide an overview of what technology is being used to test which outcomes in PD from free-living participant activity in the setting of the home environment. Additionally, this review seeks to form an impression of the nature of validation and clinimetric testing carried out on the technological device(s) being used.
Five databases (Medline, Embase, PsycInfo, Cochrane and Web of Science) were systematically searched for papers dating from 2000. Study eligibility criteria included: adults with a PD diagnosis; the use of technology; the setting of a home or home-like environment; outcomes measuring any motor and non-motor aspect relevant to PD, as well as activities of daily living; unrestricted/unscripted activities undertaken by participants.
65 studies were selected for data extraction. There were wide varieties of participant sample sizes (<10 up to hundreds) and study durations (<2 weeks up to a year). The metrics evaluated by technology, largely using inertial measurement units in wearable devices, included gait, tremor, physical activity, bradykinesia, dyskinesia and motor fluctuations, posture, falls, typing, sleep and activities of daily living.
Home-based free-living testing in PD is being conducted by multiple groups with diverse approaches, focussing mainly on motor symptoms and sleep.
新技术的出现使得能够在补充现有临床评定量表的基础上,从帕金森病(PD)患者的日常生活中自由活动和进行日常活动的环境中测量结果。
本系统评价旨在概述在家居环境中,从自由生活的参与者活动中使用哪些技术来测试 PD 的哪些结果。此外,本综述还旨在对所使用的技术设备进行验证和临床计量学测试的性质形成印象。
从 2000 年开始,我们系统地在五个数据库(Medline、Embase、PsycInfo、Cochrane 和 Web of Science)中搜索论文。研究纳入标准包括:成年人 PD 诊断;使用技术;家庭或家庭环境的设置;测量与 PD 相关的任何运动和非运动方面以及日常生活活动的结果;参与者进行不受限制/无脚本的活动。
选择了 65 项研究进行数据提取。参与者样本量差异很大(<10 到数百人),研究持续时间也不同(<2 周到 1 年)。技术评估的指标主要使用可穿戴设备中的惯性测量单元,包括步态、震颤、身体活动、运动迟缓、运动障碍和运动波动、姿势、跌倒、打字、睡眠和日常生活活动。
多个小组采用不同方法在家中进行自由生活的 PD 测试,主要集中在运动症状和睡眠上。