Sivan Manoj, Gallagher Justin, Holt Ray, Weightman Andrew, O'Connor Rory, Levesley Martin
a Academic Department of Rehabilitation Medicine , University of Leeds , Leeds , UK.
b Institute of Brain, Behaviour and Mental Health, University of Manchester , Manchester, UK.
Assist Technol. 2016 Fall;28(3):175-82. doi: 10.1080/10400435.2016.1140689.
The purpose of this study was to evaluate the International Classification of Functioning, Disability and Health (ICF) as a framework to ensure that key aspects of user feedback are identified in the design and testing stages of development of a home-based upper limb rehabilitation system. Seventeen stroke survivors with residual upper limb weakness, and seven healthcare professionals with expertise in stroke rehabilitation, were enrolled in the user-centered design process. Through semi-structured interviews, they provided feedback on the hardware, software and impact of a home-based rehabilitation device to facilitate self-managed arm exercise. Members of the multidisciplinary clinical and engineering research team, based on previous experience and existing literature in user-centred design, developed the topic list for the interviews. Meaningful concepts were extracted from participants' interviews based on existing ICF linking rules and matched to categories within the ICF Comprehensive Core Set for stroke. Most of the interview concepts (except personal factors) matched the existing ICF Comprehensive Core Set categories. Personal factors that emerged from interviews e.g. gender, age, interest, compliance, motivation, choice and convenience that might determine device usability are yet to be categorised within the ICF framework and hence could not be matched to a specific Core Set category.
本研究的目的是评估《国际功能、残疾和健康分类》(ICF),将其作为一个框架,以确保在家庭上肢康复系统开发的设计和测试阶段识别出用户反馈的关键方面。17名有上肢残余无力的中风幸存者和7名在中风康复方面有专业知识的医疗保健专业人员参与了以用户为中心的设计过程。通过半结构化访谈,他们对一种家庭康复设备的硬件、软件以及促进自主手臂锻炼的效果提供了反馈。多学科临床和工程研究团队的成员根据以用户为中心设计的先前经验和现有文献,制定了访谈主题列表。基于现有的ICF链接规则,从参与者的访谈中提取有意义的概念,并与ICF中风综合核心集中的类别进行匹配。大多数访谈概念(个人因素除外)与现有的ICF综合核心集类别相匹配。访谈中出现的个人因素,如性别、年龄、兴趣、依从性、动机、选择和便利性等,可能会决定设备的可用性,但这些因素尚未在ICF框架内进行分类,因此无法与特定的核心集类别相匹配。