Socioeconomic disparities in cancer incidence and mortality in England and the impact of age-at-diagnosis on cancer mortality

PLoS One. 2021 Jul 14;16(7):e0253854. doi: 10.1371/journal.pone.0253854. eCollection 2021.

Abstract

Background: We identify socioeconomic disparities by region in cancer morbidity and mortality in England for all-cancer and type-specific cancers, and use incidence data to quantify the impact of cancer diagnosis delays on cancer deaths between 2001-2016.

Methods and findings: We obtain population cancer morbidity and mortality rates at various age, year, gender, deprivation, and region levels based on a Bayesian approach. A significant increase in type-specific cancer deaths, which can also vary among regions, is shown as a result of delay in cancer diagnoses. Our analysis suggests increase of 7.75% (7.42% to 8.25%) in female lung cancer mortality in London, as an impact of 12-month delay in cancer diagnosis, and a 3.39% (3.29% to 3.48%) increase in male lung cancer mortality across all regions. The same delay can cause a 23.56% (23.09% to 24.30%) increase in male bowel cancer mortality. Furthermore, for all-cancer mortality, the highest increase in deprivation gap happened in the East Midlands, from 199 (186 to 212) in 2001, to 239 (224 to 252) in 2016 for males, and from 114 (107 to 121) to 163 (155 to 171) for females. Also, for female lung cancer, the deprivation gap has widened with the highest change in the North West, e.g. for incidence from 180 (172 to 188) to 272 (261 to 282), whereas it has narrowed for prostate cancer incidence with the biggest reduction in the South West from 165 (139 to 190) in 2001 to 95 (72 to 117) in 2016.

Conclusions: The analysis reveals considerable disparities in all-cancer and some type-specific cancers with respect to socioeconomic status. Furthermore, a significant increase in cancer deaths is shown as a result of delays in cancer diagnoses which can be linked to concerns about the effect of delay in cancer screening and diagnosis during the COVID-19 pandemic. Public health interventions at regional and deprivation level can contribute to prevention of cancer deaths.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Bayes Theorem
  • Child
  • Child, Preschool
  • Delayed Diagnosis / statistics & numerical data*
  • England / epidemiology
  • Female
  • Health Status Disparities
  • Humans
  • Incidence
  • Infant
  • Infant, Newborn
  • Intestinal Neoplasms / mortality*
  • Lung Neoplasms / mortality*
  • Male
  • Middle Aged
  • Prostatic Neoplasms / mortality*
  • Sex Characteristics
  • Socioeconomic Factors
  • Young Adult

Grants and funding

This work was funded by the Institute and Faculty of Actuaries, https://www.actuaries.org.uk/learn-and-develop/research-and-knowledge/actuarial-research-centre-arc, under a research project on "Modelling measurement and management of longevity and morbidity risk" (project ID: ARC001). GS and ED also received financial support by the Society of Actuaries, https://www.soa.org, under a research project on "Predictive modelling for medical morbidity trends related to insurance.” The funders did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. All the views presented in this paper are of the authors only.