背景:COVID-19大流行强调了强大的公共卫生数据系统的重要性以及数据仪表板在确保不同利益相关者和决策者群体访问关键公共卫生数据方面的潜在效用。随着仪表板变得无处不在,必须考虑如何最好地将它们与公共卫生数据系统和不同受众的决策例程相结合。然而,在继续发展方面取得了更多进展,改进,这些工具的可持续性需要整合和综合关于目的的大部分分散的奖学金,设计原则和特点,成功实施,以及由跨不同用户和应用程序的有效公共卫生数据仪表板提供的决策支持。
目的:本范围审查旨在提供国家公共卫生数据仪表板的描述性和主题概述,包括其目的,目标受众,健康主题,设计元素,影响,以及这些工具在决策过程中的使用和有用性的基本机制。它旨在确定当前有关该主题的文献中的差距,并将可操作性作为公共卫生数据仪表板的关键设计元素进行首次系统处理。
方法:范围审查遵循PRISMA-ScR(系统审查的首选报告项目和范围审查的荟萃分析扩展)指南。该评论考虑了英语,同行评审的期刊论文,会议记录,书籍章节,和描述设计的报告,实施,以及对2000年至2023年之间发布的公共卫生仪表板的评估。搜索策略涵盖学术数据库(CINAHL,PubMed,Medline,和WebofScience)和灰色文献来源,并使用滚雪球技术。实施了测试和提高互码可靠性的迭代过程,以确保在开始全面审查相关论文之前,对编码人员进行适当的培训,以根据纳入标准筛选文档。
结果:搜索过程最初确定了2544个文档,包括通过数据库查找的论文,灰色文献检索,滚雪球。删除重复文件后(n=1416),不相关项目(n=839),和分类为文献综述和背景信息的项目(n=73),216份文件符合纳入标准:美国案例研究(n=90)和非美国案例研究(n=126)。数据提取将侧重于关键变量,包括公共卫生数据特征;仪表板设计元素和功能;预期用户,可用性,物流,和操作;以及报告的有用性和影响指标。
结论:范围审查将分析目标,设计,使用,有用性,以及公共卫生数据仪表板的影响。审查还将通过分析和综合有关该主题的文献中出现的当前实践和经验教训,为这些工具的持续发展和改进提供信息,并提出一个基于理论和证据的设计框架,实施,并评估公共卫生数据仪表板。
■DERR1-10.2196/52843。
BACKGROUND: The COVID-19 pandemic highlighted the importance of robust public health data systems and the potential utility of data dashboards for ensuring access to critical public health data for diverse groups of stakeholders and decision makers. As dashboards are becoming ubiquitous, it is imperative to consider how they may be best integrated with public health data systems and the decision-making routines of diverse audiences. However, additional progress on the continued development, improvement, and sustainability of these tools requires the integration and synthesis of a largely fragmented scholarship regarding the purpose, design principles and features, successful implementation, and decision-making supports provided by effective public health data dashboards across diverse users and applications.
OBJECTIVE: This scoping
review aims to provide a descriptive and thematic overview of national public health data dashboards including their purpose, intended audiences, health topics, design elements, impact, and underlying mechanisms of use and usefulness of these tools in decision-making processes. It seeks to identify gaps in the current literature on the topic and provide the first-of-its-kind systematic treatment of actionability as a critical design element of public health data dashboards.
METHODS: The scoping
review follows the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. The review considers English-language, peer-reviewed journal papers, conference proceedings, book chapters, and reports that describe the design, implementation, and evaluation of a public health
dashboard published between 2000 and 2023. The search strategy covers scholarly databases (CINAHL, PubMed, Medline, and Web of Science) and gray literature sources and uses snowballing techniques. An iterative process of testing for and improving intercoder reliability was implemented to ensure that coders are properly trained to screen documents according to the inclusion criteria prior to beginning the full review of relevant papers.
RESULTS: The search process initially identified 2544 documents, including papers located via databases, gray literature searching, and snowballing. Following the removal of duplicate documents (n=1416), nonrelevant items (n=839), and items classified as literature reviews and background information (n=73), 216 documents met the inclusion criteria: US case studies (n=90) and non-US case studies (n=126). Data extraction will focus on key variables, including public health data characteristics;
dashboard design elements and functionalities; intended users, usability, logistics, and operation; and indicators of usefulness and impact reported.
CONCLUSIONS: The scoping review will analyze the goals, design, use, usefulness, and impact of public health data dashboards. The
review will also inform the continued development and improvement of these tools by analyzing and synthesizing current practices and lessons emerging from the literature on the topic and proposing a theory-grounded and evidence-informed framework for designing, implementing, and evaluating public health data dashboards.
UNASSIGNED: DERR1-10.2196/52843.