Polhemus Ashley, Novak Jan, Majid Shazmin, Simblett Sara, Morris Daniel, Bruce Stuart, Burke Patrick, Dockendorf Marissa F, Temesi Gergely, Wykes Til
Merck Research Labs, Information Technology, Merck, Sharpe, & Dohme, Zurich, Switzerland.
Epidemiology, Biostatistics and Prevention Institute, University of Zürich, Zürich, Switzerland.
JMIR Ment Health. 2022 Apr 28;9(4):e25249. doi: 10.2196/25249.
Remote measurement technologies (RMT) such as mobile health devices and apps are increasingly used by those living with chronic neurological and mental health conditions. RMT enables real-world data collection and regular feedback, providing users with insights about their own conditions. Data visualizations are an integral part of RMT, although little is known about visualization design preferences from the perspectives of those living with chronic conditions.
The aim of this review was to explore the experiences and preferences of individuals with chronic neurological and mental health conditions on data visualizations derived from RMT to manage health.
In this systematic review, we searched peer-reviewed literature and conference proceedings (PubMed, IEEE Xplore, EMBASE, Web of Science, Association for Computing Machinery Computer-Human Interface proceedings, and the Cochrane Library) for original papers published between January 2007 and September 2021 that reported perspectives on data visualization of people living with chronic neurological and mental health conditions. Two reviewers independently screened each abstract and full-text article, with disagreements resolved through discussion. Studies were critically appraised, and extracted data underwent thematic synthesis.
We identified 35 eligible publications from 31 studies representing 12 conditions. Coded data coalesced into 3 themes: desire for data visualization, impact of visualizations on condition management, and visualization design considerations. Data visualizations were viewed as an integral part of users' experiences with RMT, impacting satisfaction and engagement. However, user preferences were diverse and often conflicting both between and within conditions.
When used effectively, data visualizations are valuable, engaging components of RMT. They can provide structure and insight, allowing individuals to manage their own health more effectively. However, visualizations are not "one-size-fits-all," and it is important to engage with potential users during visualization design to understand when, how, and with whom the visualizations will be used to manage health.
移动健康设备和应用程序等远程测量技术（RMT）越来越多地被患有慢性神经和精神健康疾病的人群使用。RMT能够进行现实世界的数据收集和定期反馈，为用户提供有关自身状况的见解。数据可视化是RMT不可或缺的一部分，尽管从慢性病患者的角度对可视化设计偏好知之甚少。
本综述的目的是探讨患有慢性神经和精神健康疾病的个体对RMT衍生的数据可视化以管理健康的体验和偏好。
在这项系统综述中，我们检索了同行评审的文献和会议论文集（PubMed、IEEE Xplore、EMBASE、科学网、美国计算机协会人机交互会议论文集和考科蓝图书馆），以查找2007年1月至2021年9月期间发表的报告慢性病患者数据可视化观点的原创论文。两名评审员独立筛选每篇摘要和全文文章，通过讨论解决分歧。对研究进行严格评估，并对提取的数据进行主题综合。
我们从31项研究中确定了35篇符合条件的出版物，涉及12种疾病。编码数据合并为3个主题：对数据可视化的渴望、可视化对疾病管理的影响以及可视化设计考虑因素。数据可视化被视为用户RMT体验不可或缺的一部分，影响满意度和参与度。然而，用户偏好各不相同，且在不同疾病之间以及同一疾病内部往往相互冲突。
如果使用得当，数据可视化是RMT中有价值且引人入胜的组成部分。它们可以提供结构和见解，使个人能够更有效地管理自己的健康。然而，可视化并非“一刀切”，在可视化设计过程中与潜在用户互动很重要，以了解何时、如何以及与谁一起使用可视化来管理健康。
