Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland.
WorldPop, School and Geography and Environmental Science, University of Southampton, United Kingdom.
J Am Coll Radiol. 2021 Apr;18(4):537-544. doi: 10.1016/j.jacr.2020.08.022. Epub 2020 Oct 31.
Geographic information systems (GIS) are widely used in public health research but rarely used in radiology research. GIS can be an impactful tool in radiology global health to locate medically underserved populations and poor transportation infrastructure, characterize medical needs, and design outreach programs. Using the example of aircraft-based outreach in Alaska, we demonstrate the utility of GIS in radiological program planning for global health.
Multicriteria GIS evaluations were performed to create a health severity index, using life expectancy and percentage uninsured data, and an accessibility severity index, using distance from roads and health centers or hospitals. These indices were combined with population density to create a final health access severity index (HASI). A map presenting suitable hybrid airship operating areas was produced using land cover data. Alaskan health care facilities were georeferenced to create a coordinate data set. Infrastructure was obtained from OpenStreetMap. Health data were accessed from the 2017 American Community Survey and CDC US Small-area Life Expectancy Estimates Project.
GIS analyzed 738,050 Alaskans. The health severity index identified decreased health outcomes (high or very high severity) in 285,446 (39%) Alaskans, and the accessibility severity index determined decreased access to care in 218,201 (30%). Combined, the HASI established 165,108 (22%) Alaskans as underserved with high or very high overall severity. Thirty-nine percent of Alaska land area is suitable for hybrid airship operations, including 27% of HASI high and very high severity areas.
GIS identified underserved populations for mobile radiology outreach in Alaska and may be useful for global health outreach planning and resource allocation.
地理信息系统(GIS)在公共卫生研究中得到了广泛应用,但在放射学研究中很少使用。GIS 可以成为放射学全球健康中一个有影响力的工具,用于定位医疗服务不足的人群和交通基础设施差的地区,描述医疗需求,并设计外展计划。我们以阿拉斯加基于飞机的外展为例,展示了 GIS 在放射学全球健康规划中的实用性。
使用预期寿命和未参保百分比数据进行多标准 GIS 评估,创建健康严重程度指数,并使用距离道路和健康中心或医院的距离创建可达性严重程度指数。将这些指数与人口密度相结合,创建最终的健康可达性严重程度指数(HASI)。使用土地覆盖数据生成适合混合动力飞艇作业区域的地图。对阿拉斯加医疗保健设施进行地理参考,创建坐标数据集。基础设施取自 OpenStreetMap。健康数据取自 2017 年美国社区调查和 CDC 美国小面积预期寿命估计项目。
GIS 分析了 738,050 名阿拉斯加人。健康严重程度指数确定了 285,446 名(39%)阿拉斯加人健康状况较差(高或极高严重程度),可达性严重程度指数确定了 218,201 名(30%)阿拉斯加人获得医疗服务的机会减少。综合来看,HASI 确定了 165,108 名(22%)阿拉斯加人服务不足,总体严重程度高或极高。阿拉斯加 39%的土地面积适合混合动力飞艇作业,包括 27%的 HASI 高和极高严重程度地区。
GIS 确定了阿拉斯加移动放射学外展服务不足的人群,可能对全球健康外展规划和资源分配有用。