一项关于评估帕金森病的监测技术的特征与有效性的系统评价。
A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson's disease.
作者信息
Godinho Catarina, Domingos Josefa, Cunha Guilherme, Santos Ana T, Fernandes Ricardo M, Abreu Daisy, Gonçalves Nilza, Matthews Helen, Isaacs Tom, Duffen Joy, Al-Jawad Ahmed, Larsen Frank, Serrano Artur, Weber Peter, Thoms Andrea, Sollinger Stefan, Graessner Holm, Maetzler Walter, Ferreira Joaquim J
机构信息
Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisboa, Portugal.
Center for Interdisciplinary Research Egas Moniz (CiiEM), Instituto Superior de Ciências da Saúde Egas Moniz, Monte de Caparica, Portugal.
出版信息
J Neuroeng Rehabil. 2016 Mar 12;13:24. doi: 10.1186/s12984-016-0136-7.
BACKGROUND
There is growing interest in having objective assessment of health-related outcomes using technology-based devices that provide unbiased measurements which can be used in clinical practice and scientific research. Many studies have investigated the clinical manifestations of Parkinson's disease using such devices. However, clinimetric properties and clinical validation vary among the different devices.
METHODS
Given such heterogeneity, we sought to perform a systematic review in order to (i) list, (ii) compare and (iii) classify technological-based devices used to measure motor function in individuals with Parkinson's disease into three groups, namely wearable, non-wearable and hybrid devices. A systematic literature search of the PubMed database resulted in the inclusion of 168 studies. These studies were grouped based on the type of device used. For each device we reviewed availability, use, reliability, validity, and sensitivity to change. The devices were then classified as (i) 'recommended', (ii) 'suggested' or (iii) 'listed' based on the following criteria: (1) used in the assessment of Parkinson's disease (yes/no), (2) used in published studies by people other than the developers (yes/no), and (3) successful clinimetric testing (yes/no).
RESULTS
Seventy-three devices were identified, 22 were wearable, 38 were non-wearable, and 13 were hybrid devices. In accordance with our classification method, 9 devices were 'recommended', 34 devices were 'suggested', and 30 devices were classified as 'listed'. Within the wearable devices group, the Mobility Lab sensors from Ambulatory Parkinson's Disease Monitoring (APDM), Physilog®, StepWatch 3, TriTrac RT3 Triaxial accelerometer, McRoberts DynaPort, and Axivity (AX3) were classified as 'recommended'. Within the non-wearable devices group, the Nintendo Wii Balance Board and GAITRite® gait analysis system were classified as 'recommended'. Within the hybrid devices group only the Kinesia® system was classified as 'recommended'.
背景
利用基于技术的设备对健康相关结果进行客观评估越来越受到关注，这些设备能提供无偏差测量，可用于临床实践和科学研究。许多研究已使用此类设备调查帕金森病的临床表现。然而，不同设备的临床测量属性和临床验证有所不同。
方法
鉴于这种异质性，我们试图进行一项系统综述，以便（i）列出、（ii）比较并（iii）将用于测量帕金森病患者运动功能的基于技术的设备分为三类，即可穿戴设备、非穿戴设备和混合设备。对PubMed数据库进行系统文献检索后纳入了168项研究。这些研究根据所使用设备的类型进行分组。对于每种设备，我们审查了其可用性、用途、可靠性、有效性和对变化的敏感性。然后根据以下标准将这些设备分为（i）“推荐”、（ii）“建议”或（iii）“列出”：（1）用于帕金森病评估（是/否），（2）开发者以外的人在已发表研究中使用过（是/否），以及（3）成功的临床测量测试（是/否）。
结果
共识别出73种设备，其中22种为可穿戴设备，38种为非穿戴设备，13种为混合设备。根据我们的分类方法，9种设备为“推荐”，34种设备为“建议”，30种设备被归类为“列出”。在可穿戴设备组中，动态帕金森病监测（APDM）的移动实验室传感器、Physilog®、StepWatch 3、TriTrac RT3三轴加速度计、麦克罗伯茨DynaPort和Axivity（AX3）被归类为“推荐”。在非穿戴设备组中，任天堂Wii平衡板和GAITRite®步态分析系统被归类为“推荐”。在混合设备组中，只有Kinesia®系统被归类为“推荐”。
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