Racial disparities in access to health care infrastructure across US counties: A geographic information systems analysis.
Racial disparities in access to health care infrastructure across US counties: A geographic information systems analysis.
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DOI：
10.3389/fpubh.2023.897007
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发表时间：
2023
影响因子：
5.2
通讯作者：
Hernandez, Inmaculada
中科院分区：
文献类型：
--
作者：
Guo, Jingchuan;Dickson, Sean;Berenbrok, Lucas A.;Tang, Shangbin;Essien, Utibe R.;Hernandez, Inmaculada
美国的基础设施系统已被证明与社会和健康不平等有关。我们使用ArcGIS Network Analyst和国家交通数据集计算了美国人口的代表性样本到最近医疗机构的驾驶距离，并确定了黑人居民比白色居民到最近医疗机构的驾驶距离更长的地区。我们的数据表明，在获得医疗保健设施的种族差异呈现出很大的地理差异。具有显著种族差异的县集中在东南部，与总人口中较大比例的县（距离最近的设施>5英里）不一致，这些县集中在中西部。这种地理上的差异表明，在设计公平的医疗保健设施时，需要采用空间上明确的数据驱动方法，以解决当地基础设施的具体限制。
Infrastructure system in the U.S. have been shown to be linked to social and health inequities. We calculated driving distance to the closest health care facility for a representative sample of the U.S. population using ArcGIS Network Analyst and a national transportation dataset, and identified areas where Black residents have a longer driving distance to the closest facility than White residents. Our data demonstrated that racial disparities in access to health care facilities presented large geographic variation. Counties with significant racial disparities were concentrated in the Southeast and did not correspond to counties with a greater proportion of the overall population >5 miles to the closest facility, which were concentrated in the Midwest. This geographic variation demonstrates the need to adopt a spatially explicit data driven approach in the design of equitable health care facility establishment that address the specific limitations of the local infrastructure.
DOI：
10.1061/(asce)co.1943-7862.0001914
发表时间：
2020-11-01
影响因子：
5.1
作者：
Jones, Samuel H.;Armanios, Daniel Erian
通讯作者：
Armanios, Daniel Erian