How to Assess the Effectiveness of Arm Support: A Systematic Review

Author:

Lee Yun-hwan,Kim Jongbae

Abstract

AbstractArm support is a typical assistive technology device to assist shoulder and elbow movements in those with reduced upper extremity muscle strength due to neurological lesions. Recently, the assisting method, range, and manipulation method of arm support are also changing with the development of technology. Accordingly, an assessment system is required for appropriate matching and measuring the effectiveness in the clinical field. This study examines the direction of the assessment process by analyzing studies that measured the effectiveness of arm support through a systematic literature review. The databases were collected using Embase, CINAHL Plus with Full text, Web of Science, and Scopus. 19 studies were selected according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) flow chart. Most studies have been conducted on people with neuromuscular disorders. Assessment area included performance, function, usability, satisfaction, and psychosocial impact. And more than half of the studies measured performance and function. There were various assessment methods to measure the effectiveness including assessment tools, kinematics, physical examination, questionnaire, observation, and EMG, with assessment tools accounting for more than half of the studies. Most studies have set up assessment environments based on tasks related to ADLs and IADLs to measure the effectiveness. Currently, various methods such as assessment tools and kinematics were applied to measure the effectiveness of arm support. The assessment tool was used the most among them. However, assistive technology-based assessment tools are extremely limited. Therefore, it is required to develop an assessment tool centered on assistive technology based on performance related to ADL and IADL in the future.

Publisher

Springer Nature Switzerland

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3