Description of census-tract-level social determinants of health in cancer surveillance data.

Manami Bhattacharya, Kathleen A Cronin, Tracey L Farrigan, Amy E Kennedy, Mandi Yu, Shobha Srinivasan
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Abstract

Background: Disparities in cancer incidence, stage at diagnosis, and mortality persist by race, ethnicity, and many other social determinants, such as census-tract-level socioeconomic status (SES), poverty, and rurality. Census-tract-level measures of these determinants are useful for analyzing trends in cancer disparities.

Methods: The purpose of this paper was to demonstrate the availability of the Surveillance, Epidemiology, and End Results Program's specialized census-tract-level dataset and provide basic descriptive cancer incidence, stage at diagnosis, and survival for 8 cancer sites, which can be screened regularly or associated with infectious agents. We present these analyses according to several census-tract-level measures, including the newly available persistent poverty as well as SES quintile, rurality, and race and ethnicity.

Results: Census tracts with persistent poverty and low SES had higher cancer incidence rates (except for breast and prostate cancer), higher percentages of cases diagnosed with regional or distant-stage disease, and lower survival than non-persistent-poverty and higher-SES tracts. Outcomes varied by cancer site when analyzing based on rurality as well as race and ethnicity. Analyses stratified by multiple determinants showed unique patterns of outcomes, which bear further investigation.

Conclusions: This article introduces the Surveillance, Epidemiology, and End Results specialized dataset, which contains census-tract-level social determinants measures, including persistent poverty, rurality, SES quintile, and race and ethnicity. We demonstrate the capacity of these variables for use in producing trends and analyses focusing on cancer health disparities. Analyses may inform interventions and policy changes that improve cancer outcomes among populations living in disadvantaged areas, such as persistent-poverty tracts.

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描述癌症监测数据中人口普查区一级的健康社会决定因素。
背景:癌症发病率、诊断分期和死亡率方面的差异因种族、民族和许多其他社会决定因素(如人口普查区一级的社会经济地位(SES)、贫困和乡村化)而持续存在。对这些决定因素进行普查区级测量有助于分析癌症差异的趋势:本文旨在展示 "监测、流行病学和最终结果计划"(Surveillance, Epidemiology, and End Results Program)的专业普查区级数据集的可用性,并提供 8 个癌症部位的癌症发病率、诊断分期和存活率的基本描述性数据,这些癌症部位可定期筛查或与传染性病原体相关联。我们根据几个人口普查区一级的衡量标准(包括新近提供的持续贫困以及社会经济地位五分位数、农村地区、种族和民族)进行了这些分析:与非持续贫困和社会经济地位较高的人口普查区相比,持续贫困和社会经济地位较低的人口普查区癌症发病率更高(乳腺癌和前列腺癌除外),确诊为区域性或远期癌症的病例比例更高,存活率更低。在根据农村地区以及种族和民族进行分析时,不同癌症部位的结果也不尽相同。根据多种决定因素进行的分层分析显示了独特的结果模式,值得进一步研究:本文介绍了 "监测、流行病学和最终结果 "专门数据集,该数据集包含人口普查区级社会决定因素测量,包括持续贫困、乡村、社会经济地位五分位数以及种族和民族。我们展示了这些变量用于产生趋势和分析癌症健康差异的能力。分析结果可为干预措施和政策变化提供信息,从而改善生活在贫困地区(如持续贫困地区)的人群的癌症治疗效果。
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