Werner Nicole E, Tong Michelle, Nathan-Roberts Daniel, Arnott-Smith Catherine, Tredinnick Ross, Ponto Kevin, Melles Marijke, Hoonakker Peter
Patient Exp J. 2020;7(1):75-83. doi: 10.35680/2372-0247.1411.
We used a sociotechnical systems approach-which conceptualizes a system of interacting people, technologies, and tasks, to identify individual differences in personal health information management (PHIM) that can inform the design for patient-friendly environments, tools and technologies. We conducted a secondary thematic analysis of data collected as part of a parent project, vizHOME. The goal of vizHOME was to improve health and health outcomes through identifying key features in the environment that will inform the design of consumer health information technology HIT. We analyzed interview data collected from 20 individuals with diabetes. We found seven dimensions of PHIM: (1) level of privacy preferred for PHIM; (2) amount of engagement in PHIM; (3) extent of guidance preferred for PHIM; (4) level of documentation preferred for PHIM; (5) degree of physical distribution of PHIM; (6) amount of flexibility in PHIM routine; and (7) use of external cues to manage PHIM. Our results suggest that each dimension exists as a continuum, which are anchored from low to high. Exploring the interaction between PHIM and the sociotechnical system in which PHIM is performed revealed key dimensions of PHIM as well as individual differences in those PHIM dimensions. Identification of individual differences in PHIM can support the creation of human-centered design considerations for tailored environments, products, processes, and technologies that support PHIM. Future research will seek to validate PHIM dimensions in a larger population and develop a PHIM-typing measure to identify PHIM types toward tailoring processes, products, and to individual needs in context.
我们采用了一种社会技术系统方法——该方法将一个由相互作用的人员、技术和任务组成的系统概念化,以识别个人健康信息管理(PHIM)中的个体差异,这些差异可为患者友好型环境、工具和技术的设计提供参考。我们对作为一个母项目vizHOME一部分收集的数据进行了二次主题分析。vizHOME的目标是通过识别环境中的关键特征来改善健康状况和健康结果,这些特征将为消费者健康信息技术(HIT)的设计提供参考。我们分析了从20名糖尿病患者收集的访谈数据。我们发现了PHIM的七个维度:(1)PHIM偏好的隐私级别;(2)PHIM的参与程度;(3)PHIM偏好的指导程度;(4)PHIM偏好的记录级别;(5)PHIM的物理分布程度;(6)PHIM日常安排的灵活程度;以及(7)使用外部线索来管理PHIM。我们的结果表明,每个维度都以连续体的形式存在,从低到高锚定。探索PHIM与执行PHIM的社会技术系统之间的相互作用,揭示了PHIM的关键维度以及这些PHIM维度中的个体差异。识别PHIM中的个体差异可以支持创建以人为本的设计考量,以针对支持PHIM的定制环境、产品、流程和技术。未来的研究将寻求在更大的人群中验证PHIM维度,并开发一种PHIM分型测量方法,以识别PHIM类型,从而根据具体情况调整流程、产品以满足个体需求。