Young Rachel, Sage Karen, Broom David, Broomfield Katherine, Church Gavin, Smith Christine
Advanced Wellbeing Research Centre, Sheffield Hallam University, 2 Old Hall Road, Sheffield, S9 3TU, UK.
Faculty of Health and Education, Manchester Metropolitan University, Manchester Brooks Building, 53 Bonsall Street, Manchester, M15 6GX, UK.
Res Involv Engagem. 2021 Sep 28;7(1):68. doi: 10.1186/s40900-021-00311-z.
Power assisted exercise is accessible and acceptable for people with stroke. The potential for technological advancement of the equipment to improve the user experience has been identified. Involvement of end users and service providers in the design of health technologies is essential in determining how said technology is perceived and adopted. This project invited people with stroke and service providers to influence design features and determine machine selection in the preliminary stages of a codesign research programme.
To capture the perspectives of people with stroke and professionals working with people with stroke about proposed digitalisation of power assisted exercise equipment and select machines for prototype development.
Nominal group technique was used to capture the perspectives, ideas, preferences and priorities of three stakeholder groups: people with stroke (n = 3, mean age 66 years), rehabilitation professionals (n = 3) and exercise scientists (n = 3). Two questions underpinned the structure of the events; 'What does an assistive exercise machine need to do to allow the person with stroke to engage in exercise?' and 'Which machines would you prioritise for use with People with Stroke?' Attendees were invited to cast votes to indicate their preferred machines.
Synthesis of the data from the NGT identified four domains; software and interface, exercise programme, machine and accessories, setting and service. Three preferred machines from a range of nine were identified through vote counting.
Nominal group technique directed the selection of machines to be included in the development of the proposed technology. The vision shared by users during the structured discussion shaped the subsequent steps in the design and testing of the new technology.
The opinions and preferences of people with stroke, rehabilitation professionals and exercise scientists were central to key decisions which will shape the digitalisation of power assisted equipment, influence future research and guide implementation of the new technologies.
助力运动对中风患者来说是可行且可接受的。已认识到设备技术进步对改善用户体验的潜力。终端用户和服务提供者参与健康技术设计对于确定该技术如何被认知和采用至关重要。本项目在协同设计研究计划的初步阶段邀请中风患者和服务提供者来影响设计特征并确定机器选择。
了解中风患者以及治疗中风患者的专业人员对助力运动设备数字化提议的看法，并选择用于原型开发的机器。
采用名义群体技术来获取三个利益相关者群体的观点、想法、偏好和优先事项，这三个群体分别是：中风患者（n = 3，平均年龄66岁）、康复专业人员（n = 3）和运动科学家（n = 3）。活动结构基于两个问题：“一台辅助运动机器需要具备什么功能才能让中风患者进行运动？”以及“你会优先选择哪些机器供中风患者使用？”邀请与会者投票以表明他们偏好的机器。
对名义群体技术的数据综合分析确定了四个领域：软件和界面、运动程序、机器及配件、环境和服务。通过计票从九种机器中确定了三种首选机器。
名义群体技术指导了拟议技术开发中机器的选择。在结构化讨论中用户分享的愿景塑造了新技术设计和测试的后续步骤。
中风患者、康复专业人员和运动科学家的意见和偏好对于塑造助力设备数字化、影响未来研究以及指导新技术实施的关键决策至关重要。
