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Local Breast Cancer Spatial Patterning: A Tool for Community Health Resource Allocation to Address Local Disparities in Breast Cancer Mortality

机译:当地乳腺癌空间图案:一个工具用于社区卫生资源配置解决当地差距乳腺癌死亡率

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摘要

Despite available demographic data on the factors that contribute to breast cancer mortality in large population datasets, local patterns are often overlooked. Such local information could provide a valuable metric by which regional community health resources can be allocated to reduce breast cancer mortality. We used national and statewide datasets to assess geographical distribution of breast cancer mortality rates and known risk factors influencing breast cancer mortality in middle Tennessee. Each county in middle Tennessee, and each ZIP code within metropolitan Davidson County, was scored for risk factor prevalence and assigned quartile scores that were used as a metric to identify geographic areas of need. While breast cancer mortality often correlated with age and incidence, geographic areas were identified in which breast cancer mortality rates did not correlate with age and incidence, but correlated with additional risk factors, such as mammography screening and socioeconomic status. Geographical variability in specific risk factors was evident, demonstrating the utility of this approach to identify local areas of risk. This method revealed local patterns in breast cancer mortality that might otherwise be overlooked in a more broadly based analysis. Our data suggest that understanding the geographic distribution of breast cancer mortality, and the distribution of risk factors that contribute to breast cancer mortality, will not only identify communities with the greatest need of support, but will identify the types of resources that would provide the most benefit to reduce breast cancer mortality in the community.
机译:尽管可获得大量人口数据中导致乳腺癌死亡的因素的人口统计数据,但经常会忽略局部模式。这样的本地信息可以提供宝贵的指标,通过该指标可以分配区域社区卫生资源以降低乳腺癌的死亡率。我们使用全国和全州的数据集来评估乳腺癌死亡率的地理分布以及影响田纳西州中部乳腺癌死亡率的已知风险因素。田纳西州中部的每个县,以及大城市戴维森县内的每个邮政编码,都针对危险因素发生率进行了评分,并分配了四分位数得分,这些得分用作确定需求地理区域的指标。尽管乳腺癌的死亡率通常与年龄和发病率相关,但可以确定地理区域中乳腺癌的死亡率与年龄和发病率不相关,但与其他风险因素(如乳房X线照片筛查和社会经济地位)相关。特定风险因素的地域差异显而易见,这表明该方法可用于确定局部风险区域。该方法揭示了乳腺癌死亡率的局部模式,否则在更广泛的基础上分析可能被忽略。我们的数据表明,了解乳腺癌死亡率的地理分布以及导致乳腺癌死亡率的危险因素的分布,不仅会确定最需要支持的社区,还将确定能够提供最大支持的资源类型。有助于降低社区的乳腺癌死亡率。

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