Intersectional inequalities in advanced stage diagnosis of colorectal cancer in England: a cross-sectional study of National Cancer Registry data from 2013 to 2019

英格兰晚期结直肠癌诊断中的交叉性不平等:一项基于2013年至2019年国家癌症登记数据的横断面研究

阅读:3

Abstract

BACKGROUND: Inequalities in colorectal cancer (CRC) staging and outcomes exist across numerous sociodemographic axes. Early-stage CRC diagnosis is important for treatment success and survival. In this study, we investigate inequalities in CRC staging using registry data for 186 713 first-time CRC cancer diagnoses from 2013 to 2019 in England. METHODS: We employ the novel Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) approach to National Cancer Registry data. We investigate inequalities in CRC staging (early vs advanced stage) via a logistic MAIHDA. We examine a range of intersectional inequalities in CRC staging, across different age, ethnicity, gender and area-level deprivation groups. RESULTS: Just over half of the staged cancers in the sample were diagnosed at advanced stage (62%). Results demonstrate notable inequalities in the risk of advanced CRC staging, with a gap of 17 percentage points between the strata with the lowest and highest predicted probability of advanced stage CRC diagnosis. These inequalities exist between age groups, ethnicity and deprivation level, with no evidence of gender-related inequalities when other variables are controlled. However, unexpectedly, we find these inequalities to be almost entirely additive in nature. CONCLUSIONS: These results suggest substantial inequalities in advanced stage CRC diagnosis exist, but that these are driven largely by universal processes of inequality, rather than disadvantages associated with single intersectional strata beyond an additive layering of disadvantage. Policy tools to encourage prompt screening engagement and symptom awareness campaigns in pre-screening age groups may benefit from considering the groups most disadvantaged by that additive layering.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。