背景:健康与福祉生活实验室是探索创新解决方案以应对复杂的医疗保健挑战并促进整体健康发展的宝贵研究基础设施。在对生活实验室使用的ICT工具和技术设备的类型进行分类和理解方面存在知识差距。
目的:定义一个全面的分类法,有效地分类和组织在健康和健康生活实验室研究中使用的数字数据收集和干预工具。
方法:进行了改良的寻求共识的德尔菲研究,从涉及调查和半结构化访谈(N=30)的预研究开始,以收集有关现有设备的信息。与来自10个不同国家的现场实验室专家小组(R1N=18,R2-3N=15)进行的后续三轮Delphi回合,重点是在类别定义上达成共识,易于阅读,并包括每个类别的子项目。由于第二轮定性反馈结果存在争议,组织了一个在线研讨会来澄清矛盾的问题。
结果:由此产生的分类包括52个子项目,分为以下三个级别:第一个级别包括“用于数据监视和收集的设备”和“用于干预的技术”。\'在第二层,“数据监测和收集”类别进一步分为“环境监测”和“人类监测”。后者包括以下第三级类别:\'生物识别,\'\'活动和行为监控,认知能力和心理过程,电生物信号和生理监测措施,\'\'(主要)生命体征,\'和\'身体大小和组成。\'在第二层,“干预技术”包括“辅助技术”,\'\'扩展现实-XR(VR和AR),\'和\'严重的游戏\'类别。
结论:建立了通用语言和标准化术语,以便与生活实验室及其客户进行有效的沟通。分类法为进一步研究打开了路线图,以根据其功能绘制相关设备,特点,目标人群,和预期的结果,促进协作,加强数据捕获和利用。
BACKGROUND: Health and Wellbeing Living Labs are a valuable research infrastructure for exploring innovative solutions to tackle complex healthcare challenges and promote overall wellbeing. A knowledge gap exists in categorizing and understanding the types of ICT tools and technical devices employed by Living Labs.
OBJECTIVE: Define a comprehensive taxonomy that effectively categorizes and organizes the digital data collection and intervention tools employed in Health and Wellbeing Living Lab research studies.
METHODS: A modified consensus-seeking Delphi study was conducted, starting with a pre-study involving a survey and semistructured interviews (N=30) to gather information on existing equipment. The follow-up three Delphi rounds with a panel of living lab experts (R1 N=18, R2 - 3 N=15) from 10 different countries focused on achieving consensus on the category definitions, ease of reading, and included subitems for each category. Due to the controversial results in the 2nd round of qualitative feedback, an online workshop was organized to clarify the contradictory issues.
RESULTS: The resulting taxonomy included 52 subitems, which were divided into three levels as follows: The first level consists of \'devices for data monitoring and collection\' and \'technologies for intervention.\' At the second level, the \'data monitoring and collection\' category is further divided into \'environmental\' and \'human\' monitoring. The latter includes the following third-level categories: \'biometrics,\' \'activity and behavioral monitoring,\' \'cognitive ability and mental processes,\' \'electrical biosignals and physiological monitoring measures,\' \'(primary) vital signs,\' and \'body size and composition.\' At the second level, \'technologies for intervention\' consists of \'assistive technology,\' \'extended reality - XR (VR & AR),\' and \'serious games\' categories.
CONCLUSIONS: A common language and standardized terminology are established to enable effective communication with living labs and their customers. The taxonomy opens a roadmap for further studies to map related devices based on their functionality, features, target populations, and intended outcomes, fostering collaboration and enhancing data capture and exploitation.