A Sociotechnical Systems Approach Toward Tailored Design for Personal Health Information Management.
A Sociotechnical Systems Approach Toward Tailored Design for Personal Health Information Management.
复制标题
针对个人健康信息管理量身定制设计的社会技术系统方法。
DOI：
10.35680/2372-0247.1411
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发表时间：
2020
影响因子：
--
通讯作者：
Hoonakker P
中科院分区：
文献类型：
--
作者：
Werner NE;Tong M;Nathan-Roberts D;Arnott-Smith C;Tredinnick R;Ponto K;Melles M;Hoonakker P
我们使用了社会技术系统的方法，它概念化的互动的人，技术和任务的系统，以确定个人健康信息管理（PHIM），可以告知设计患者友好的环境，工具和技术的个体差异。我们进行了二次专题分析收集的数据作为一个父项目，即HOME的一部分。vizHOME的目标是通过识别环境中的关键特征来改善健康和健康结果，这些特征将为消费者健康信息技术HIT的设计提供信息。我们分析了从20名糖尿病患者中收集的访谈数据。我们发现了PHIM的七个维度：（1）PHIM首选的隐私级别;（2）PHIM的参与程度;（3）PHIM首选的指导程度;（4）PHIM首选的文档级别;（5）PHIM的物理分布程度;（6）PHIM例程的灵活性;（7）使用外部线索来管理PHIM。我们的研究结果表明，每个维度作为一个连续体存在，从低到高锚定。探索PHIM和社会技术系统中，PHIM进行之间的相互作用，揭示了PHIM的关键尺寸以及这些PHIM尺寸的个体差异。识别PHIM中的个体差异可以支持为支持PHIM的定制环境、产品、过程和技术创建以人为本的设计考虑。未来的研究将寻求在更大的人群中验证PHIM维度，并制定PHIM分型措施，以确定PHIM类型，以适应特定的流程，产品和个人需求。
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.