民主化医疗体系数据，以影响社会和环境卫生背景：一种新颖的协作式社区数据共享模式。
Democratizing health system data to impact social and environmental health contexts: a novel collaborative community data-sharing model.
机构信息
Center for Community and Population Health Improvement, Duke University Clinical and Translational Science Institute, Durham, NC 27701, USA.
Division of General Internal Medicine, Department of Medicine Duke University School of Medicine, Durham, NC 27701, USA.
出版信息
J Public Health (Oxf). 2020 Nov 23;42(4):784-792. doi: 10.1093/pubmed/fdz171.
BACKGROUND
Community health data are infrequently viewed in the context of social and environmental health determinants. We developed a novel data-sharing model to democratize health system data and to facilitate community and population health improvement.
METHODS
Durham County, the City of Durham in North Carolina, Durham health systems and other stakeholders have developed a data-sharing model to inform local community health efforts. Aggregated health system data obtained through clinical encounters are shared publicly, providing data on the prevalence of health conditions of interest to the community.
RESULTS
A community-owned web platform called the Durham Neighborhood Compass provides aggregate health data (e.g. on diabetes, heart disease, stroke and other conditions of interest) in the context of neighborhood social (e.g. income distribution, education level, demographics) and environmental (e.g. housing prices, crime rates, travel routes, school quality, grocery store proximity) contexts. Health data are aggregated annually to help community stakeholders track changes in health and health contexts over time.
CONCLUSIONS
The Durham Neighborhood Compass is among the first collaborative public efforts to democratize health system data in the context of social and environmental health determinants. This model could be adapted elsewhere to support local community and population health improvement initiatives.
背景
社区卫生数据很少从社会和环境健康决定因素的角度来看待。我们开发了一种新的数据共享模型，以使卫生系统数据民主化，并促进社区和人口健康的改善。
方法
北卡罗来纳州达勒姆县、达勒姆市、达勒姆卫生系统和其他利益相关者已经开发了一种数据共享模型，以为当地社区卫生工作提供信息。通过临床接触获得的聚合卫生系统数据被公开共享，提供有关社区关注的健康状况的流行情况的数据。
结果
一个名为“达勒姆邻里指南针”的社区所有的网络平台提供了聚合健康数据（例如，糖尿病、心脏病、中风和其他相关疾病），并结合了邻里的社会环境（例如，收入分配、教育水平、人口统计学）和环境（例如，房价、犯罪率、出行路线、学校质量、杂货店附近）因素。健康数据每年都会进行汇总，以帮助社区利益相关者跟踪随着时间的推移健康和健康环境的变化。
结论
“达勒姆邻里指南针”是第一个在社会和环境健康决定因素背景下使卫生系统数据民主化的合作公共努力之一。该模型可以在其他地方进行调整，以支持当地社区和人口健康改善计划。
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