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

Author:

Bhattacharya Manami1ORCID,Cronin Kathleen A1ORCID,Farrigan Tracey L2,Kennedy Amy E3,Yu Mandi1,Srinivasan Shobha3ORCID

Affiliation:

1. Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute , Rockville, MD, USA

2. Resource and Rural Economics Division, Economic Research Service, US Department of Agriculture , Washington, DC, USA

3. Office of the Director, Division of Cancer Control and Population Sciences, National Cancer Institute , Rockville, MD, USA

Abstract

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.

Funder

NCI

National Institutes of Health

Publisher

Oxford University Press (OUP)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3