Background: 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. Objective: 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. Methods: 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. Results: 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. Conclusions: 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.

中文翻译：

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慢性神经和心理健康状况自我管理的数据可视化：用户观点的系统回顾

背景：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心理健康状况的人使用。RMT 支持真实世界的数据收集和定期反馈，为用户提供有关其自身状况的见解。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来看，人们对可视化设计偏好知之甚少。目的：本次审查的目的是探讨慢性神经和心理健康状况患者对来自 RMT 的数据可视化管理健康的体验和偏好。方法：在这篇系统综述中，我们检索了同行评议的文献和会议论文集（PubMed、IEEE Xplore、EMBASE、Web of Science、计算机协会计算机-人机界面论文集和 Cochrane 图书馆），以寻找 2007 年 1 月至 9 月之间发表的原始论文2021 年报告了对患有慢性神经和心理健康状况的人的数据可视化的看法。两名审稿人独立筛选每篇摘要和全文文章，通过讨论解决分歧。对研究进行批判性评价，提取的数据进行主题综合。结果：我们从代表 12 种情况的 31 项研究中确定了 35 篇符合条件的出版物。编码数据合并为 3 个主题：对数据可视化的渴望、可视化对条件管理的影响以及可视化设计注意事项。数据可视化被视为用户使用 RMT 体验不可或缺的一部分，影响满意度和参与度。然而，用户的偏好是多种多样的，并且经常在条件之间和条件内发生冲突。结论：当有效使用时，数据可视化是 RMT 的有价值的、引人入胜的组件。它们可以提供结构和洞察力，使个人能够更有效地管理自己的健康。然而，可视化并不是“一刀切”，在可视化设计期间与潜在用户互动以了解何时、如何以及与谁一起使用可视化来管理健康是很重要的。