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Technology-based interventions for mental health support after stroke: A systematic review of their acceptability and feasibility
Neuropsychological Rehabilitation ( IF 1.7 ) Pub Date : 2019-12-13 , DOI: 10.1080/09602011.2019.1701501
Anthony Chun Shek 1 , Andrea Biondi 1 , Dominic Ballard 1 , Til Wykes 2, 3 , Sara Katherine Simblett 2
Affiliation  

Mental health disturbances are common after stroke and linked to a slower recovery. Current face-to-face treatment options are costly and often inaccessible. Technology advances have made it possible to overcome some of these barriers to deliver technology-based mental health interventions remotely, but we do not know how acceptable and feasible they are. This systematic review aims to provide an examination of the acceptability and feasibility of technology-based mental health interventions provided to stroke patients and evaluate any barriers to their adoption. A total of 13 studies were included investigating interventions targeting non-specific mental health, depression or anxiety. The delivery technologies were: video conferencing, computer programmes, telephones, DVDs, CDs, robot-assisted devices, and personal digital assistants. Rates of refusal to participate were low (7.9-25%). Where satisfaction was reported, this was generally high. Many studies achieved high levels of adherence (up to 89.6%). This was lower for some technologies (e.g., robotic assistive devices). Where dropout occurred, this was for reasons including a decline in health as well as technical difficulties. Overall, the literature displays early evidence of using technology to deliver mental health interventions to patients with stroke. This review has identified factors that the design of future studies should take into consideration.

中文翻译:

基于技术的中风后心理健康支持干预措施:对其可接受性和可行性的系统评价

中风后的心理健康障碍很常见,并且与恢复较慢有关。目前的面对面治疗方案成本高昂,而且往往难以获得。技术进步使得克服其中一些障碍以远程提供基于技术的心理健康干预成为可能,但我们不知道它们的可接受性和可行性。本系统评价旨在检查向中风患者提供的基于技术的心理健康干预措施的可接受性和可行性,并评估采用这些干预措施的任何障碍。共有 13 项研究被纳入调查针对非特定心理健康、抑郁或焦虑的干预措施。交付技术是:视频会议、计算机程序、电话、DVD、CD、机器人辅助设备和个人数字助理。拒绝参与的比率很低(7.9-25%)。在报告满意度的地方,这通常很高。许多研究实现了高水平的依从性(高达 89.6%)。对于某些技术(例如,机器人辅助设备),这一数字较低。发生辍学的原因包括健康状况下降和技术困难。总体而言,文献显示了使用技术为中风患者提供心理健康干预的早期证据。本综述确定了未来研究设计应考虑的因素。这是由于健康状况下降以及技术困难等原因。总体而言,文献显示了使用技术为中风患者提供心理健康干预的早期证据。本综述确定了未来研究设计应考虑的因素。这是由于健康状况下降以及技术困难等原因。总体而言,文献显示了使用技术为中风患者提供心理健康干预的早期证据。本综述确定了未来研究设计应考虑的因素。
更新日期:2019-12-13
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