Bhavsar Nrupen A, Sperling Jessica, Ruiz Raquel, Mohottige Dinushika, Muhigaba Perusi, Silberberg Mina, Leiro Anthony, Maxson Pamela, Lyn Michelle, Boulware L Ebony
Department of Surgery, Division of Surgical Sciences, Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
Social Science Research Institute, Duke University, Durham, NC, USA.
J Clin Transl Sci. 2024 Sep 16;8(1):e121. doi: 10.1017/cts.2024.569. eCollection 2024.
Multisector stakeholders, including, community-based organizations, health systems, researchers, policymakers, and commerce, increasingly seek to address health inequities that persist due to structural racism. They require accessible tools to visualize and quantify the prevalence of social drivers of health (SDOH) and correlate them with health to facilitate dialog and action. We developed and deployed a web-based data visualization platform to make health and SDOH data available to the community. We conducted interviews and focus groups among end users of the platform to establish needs and desired platform functionality. The platform displays curated SDOH and de-identified and aggregated local electronic health record data. The resulting Social, Environmental, and Equity Drivers (SEED) Health Atlas integrates SDOH data across multiple constructs, including socioeconomic status, environmental pollution, and built environment. Aggregated health prevalence data on multiple conditions can be visualized in interactive maps. Data can be visualized and downloaded without coding knowledge. Visualizations facilitate an understanding of community health priorities and local health inequities. SEED could facilitate future discussions on improving community health and health equity. SEED provides a promising tool that members of the community and researchers may use in their efforts to improve health equity.
包括社区组织、卫生系统、研究人员、政策制定者和商业机构在内的多部门利益相关者越来越希望解决因结构性种族主义而持续存在的健康不平等问题。他们需要可获取的工具来可视化和量化健康的社会驱动因素(SDOH)的流行情况,并将其与健康状况相关联,以促进对话和行动。我们开发并部署了一个基于网络的数据可视化平台,以便向社区提供健康和SDOH数据。我们在该平台的最终用户中进行了访谈和焦点小组讨论,以确定需求和期望的平台功能。该平台展示经过整理的SDOH数据以及去识别化和汇总的本地电子健康记录数据。由此产生的社会、环境和公平驱动因素(SEED)健康地图集整合了多个结构中的SDOH数据,包括社会经济地位、环境污染和建成环境。多种疾病的汇总健康流行数据可以在交互式地图中可视化。无需编码知识即可对数据进行可视化和下载。可视化有助于理解社区健康优先事项和当地的健康不平等现象。SEED可以促进未来关于改善社区健康和健康公平性的讨论。SEED提供了一个很有前景的工具,社区成员和研究人员可以在努力改善健康公平性的过程中使用。