Technological Educational Institute of Athens, Department of Informatics, Agiou Spyridonos, Aigaleo, 12243 Athens, Greece.
J Healthc Eng. 2016;2016. doi: 10.1155/2016/1048964.
The objective of the current study is to identify and classify outcome measures currently used for the assessment of rehabilitation or assistive robot devices. We conducted a systematic review of the literature using PubMed, MEDLINE, CIRRIE, and Scopus databases for studies that assessed rehabilitation or assistive robot devices from 1980 through January 2016. In all, 31 articles met all inclusion criteria. Tailor-made questionnaires were the most commonly used tool at 66.7%, while the great majority (93.9%) of the studies used nonvalidated instruments. The study reveals the absence of a standard scale which makes it difficult to compare the results from different researchers. There is a great need, therefore, for a valid and reliable instrument to be available for use by the intended end users for the subjective assessment of robot devices. The study concludes by identifying two scales that have been validated in general assistive technology devices and could support the scope of subjective assessment in rehabilitation or assistive robots (however, with limited coverage) and a new one called PYTHEIA, recently published. The latter intends to close the gap and help researchers and developers to evaluate, assess, and produce products that satisfy the real needs of the end users.
本研究的目的是识别和分类目前用于评估康复或辅助机器人设备的结果测量指标。我们使用 PubMed、MEDLINE、CIRRIE 和 Scopus 数据库对 1980 年至 2016 年 1 月期间评估康复或辅助机器人设备的研究进行了系统综述。共有 31 篇文章符合所有纳入标准。定制问卷是最常用的工具，占 66.7%，而绝大多数（93.9%）研究使用的是非验证工具。研究表明缺乏标准量表，这使得很难比较不同研究人员的结果。因此，非常需要为预期的最终用户提供一种有效且可靠的仪器，以便对机器人设备进行主观评估。研究最后确定了两个已在一般辅助技术设备中验证的量表，它们可以支持康复或辅助机器人的主观评估范围（但覆盖范围有限），以及最近发布的一个新量表称为 PYTHEIA。后者旨在缩小差距，帮助研究人员和开发人员评估、评估和生产满足最终用户实际需求的产品。
