School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK.
Clin Rehabil. 2024 Jan;38(1):60-71. doi: 10.1177/02692155231189257. Epub 2023 Jul 19.
To identify, map and synthesize the extent and nature of existing studies on the use of home-based digital technology to support post-stroke upper limb rehabilitation.
A comprehensive literature search was completed between 30 May 2022 and 05 April 2023, from seven online databases (CINAHL, Cochrane Library, PubMed, ScienceDirect, IEEExplore, Web of Science and PEDro), Google Scholar and the reference lists of already identified articles.
A scoping review was conducted according to Arksey and O'Malley (2005), and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. All English-language studies reporting on the use of home-based digital technology to support upper limb post-stroke rehabilitation were eligible for inclusion.
The search generated a total of 1895 records, of which 76 articles met the inclusion criteria. Of these, 52 were experimental studies and the rest, qualitative, case series and case studies. Of the overall 2149 participants, 2028 were stroke survivors with upper limb impairment. The majority of studies were aimed at developing, designing and/or assessing the feasibility, acceptability and efficacy of a digital system for poststroke upper limb rehabilitation in home settings. The thematic analysis found six major categories: Tele-rehabilitation ( = 29), games ( = 45), virtual reality (n = 26), sensor (n = 22), mobile technology (n = 22), and robotics (n = 8).
The digital technologies used in post-stroke upper limb rehabilitation were multimodal, and system-based comprising telerehabilitation, gamification, virtual reality, mobile technology, sensors and robotics. Furthermore, future research should focus to determine the effectiveness of these modalities.
识别、绘制和综合现有研究的范围和性质，这些研究旨在利用基于家庭的数字技术来支持中风后上肢康复。
2022 年 5 月 30 日至 2023 年 4 月 5 日，从七个在线数据库（CINAHL、Cochrane 图书馆、PubMed、ScienceDirect、IEEExplore、Web of Science 和 PEDro）、Google Scholar 和已确定文章的参考文献中完成了全面的文献检索。
根据 Arksey 和 O'Malley（2005 年）以及扩展后的系统评价和荟萃分析的首选报告项目进行了范围审查。所有报告使用基于家庭的数字技术支持中风后上肢康复的英语研究都符合纳入标准。
搜索共产生了 1895 条记录，其中 76 篇文章符合纳入标准。其中，52 项为实验研究，其余为定性研究、病例系列和病例研究。在总共 2149 名参与者中，2028 名是上肢受损的中风幸存者。大多数研究旨在开发、设计和/或评估数字系统在家庭环境中进行中风后上肢康复的可行性、可接受性和疗效。主题分析发现了六个主要类别：远程康复（ = 29）、游戏（ = 45）、虚拟现实（n = 26）、传感器（n = 22）、移动技术（n = 22）和机器人技术（n = 8）。
用于中风后上肢康复的数字技术是多模式的，基于系统的，包括远程康复、游戏化、虚拟现实、移动技术、传感器和机器人技术。此外，未来的研究应集中确定这些模式的有效性。
