Creating Interactive Data Dashboards for Evidence Syntheses

Leslie A. Perdue, Shaina D. Trevino, Sean Grant, Jennifer S. Lin, Emily E. Tanner-Smith
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Abstract

Systematic review findings are typically disseminated via static outputs, such as scientific manuscripts, which can limit the accessibility and usability for diverse audiences. Interactive data dashboards transform systematic review data into dynamic, user-friendly visualizations, allowing deeper engagement with evidence synthesis findings. We propose a workflow for creating interactive dashboards to display evidence synthesis results, including three key phases: planning, development, and deployment. Planning involves defining the dashboard objectives and key audiences, selecting the appropriate software (e.g., Tableau or R Shiny) and preparing the data. Development includes designing a user-friendly interface and specifying interactive elements. Lastly, deployment focuses on making it available to users and utilizing user-testing. Throughout all phases, we emphasize seeking and incorporating interest-holder input and aligning dashboards with the intended audience's needs. To demonstrate this workflow, we provide two examples from previous systematic reviews. The first dashboard, created in Tableau, presents findings from a meta-analysis to support a U.S. Preventive Services Task Force recommendation on lipid disorder screening in children, while the second utilizes R Shiny to display data from a scoping review on the 4-day school week among K-12 students in the U.S. Both dashboards incorporate interactive elements to present complex evidence tailored to different interest-holders, including non-research audiences. Interactive dashboards can enhance the utility of evidence syntheses by providing a user-friendly tool for interest-holders to explore data relevant to their specific needs. This workflow can be adapted to create interactive dashboards in flexible formats to increase the use and accessibility of systematic review findings.

Abstract Image

为证据合成创建交互式数据仪表板
系统审查结果通常通过静态输出(例如科学手稿)传播,这可能限制不同受众的可及性和可用性。交互式数据仪表板将系统审查数据转换为动态的,用户友好的可视化,允许更深入地参与证据综合发现。我们提出了一个用于创建交互式仪表板以显示证据合成结果的工作流程,包括三个关键阶段:规划、开发和部署。计划包括定义仪表板目标和关键受众,选择合适的软件(例如Tableau或R Shiny)和准备数据。开发包括设计用户友好的界面和指定交互元素。最后,部署的重点是使其对用户可用并利用用户测试。在所有阶段,我们都强调寻求和整合利益相关者的意见,并将仪表板与目标受众的需求保持一致。为了演示这个工作流程,我们从以前的系统回顾中提供两个例子。第一个仪表板是在Tableau中创建的,展示了一项荟萃分析的结果,以支持美国预防服务工作组关于儿童脂质紊乱筛查的建议,而第二个仪表板利用R Shiny显示了来自K-12学生每周4天学校范围审查的数据。两个仪表板都包含互动元素,以呈现针对不同利益相关者(包括非研究受众)量身定制的复杂证据。交互式仪表板为利益相关者提供了一种用户友好的工具,可以探索与其特定需求相关的数据,从而提高证据综合的效用。可以调整此工作流以创建灵活格式的交互式仪表板,以增加系统审查结果的使用和可访问性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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