Literature DB >> 33082205

Social Inequalities in Cancer Survival in Belgium: A Population-Based Cohort Study.

Michael Rosskamp1, Julie Verbeeck1, Victoria Sass2,3, Sylvie Gadeyne2, Freija Verdoodt1, Harlinde De Schutter4.   

Abstract

BACKGROUND: Socioeconomic status (SES) is an important factor in cancer survival; however, results are heterogeneous and linked to characteristics of the study population and health care system. This population-based cohort study evaluates the association between individual-level socioeconomic and demographic factors and cancer survival for the first time in Belgium.
METHODS: From the Belgian Cancer Registry, we identified 109,591 patients diagnosed between 2006 and 2013 with one of eight common cancer types. Information on treatment, socioeconomic parameters, and vital status were retrieved from multiple data sources and linked using a unique personal identification number. The outcome was 5-year observed survival. Associations between survival and socioeconomic and demographic factors were assessed using multivariable Cox proportional-hazard regression models.
RESULTS: Lower income, unemployment, and living alone were all associated with worse cancer survival. These associations were most pronounced for certain lifestyle-related cancer types (e.g., head and neck cancers) and those with good to moderate prognosis (e.g., colorectal and female breast cancer).
CONCLUSIONS: These results indicate that, despite a comprehensive and nationwide health insurance program in which equity in rights and access to health care are pursued, SES is associated with disparities in cancer survival in Belgium. IMPACT: This population-based study with individual-level socioeconomic information of more than 100,000 patients with cancer identifies patient groups that may be at highest risk for socioeconomic disparities in cancer survival. Reasons behind the observed disparities are multiple and complex and should be further examined. Health policy interventions should consider the observed deprivation gap to plan targeted actions. ©2020 American Association for Cancer Research.

Entities:  

Year:  2020        PMID: 33082205     DOI: 10.1158/1055-9965.EPI-20-0721

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  3 in total

1.  The state of health in Belgium, 1990-2019: a benchmarking analysis based on the Global Burden of Disease 2019 study.

Authors:  Jinane Ghattas; Vanessa Gorasso; Robby De Pauw; Sophie Thunus; Niko Speybroeck; Brecht Devleesschauwer
Journal:  Arch Public Health       Date:  2022-10-18

2.  Are deprivation-specific cancer survival patterns similar according to individual-based and area-based measures? A cohort study of patients diagnosed with five malignancies in England and Wales, 2008-2016.

Authors:  Laura M Woods; Aurélien Belot; Iain M Atherton; Lucy Ellis-Brookes; Matthew Baker; Fiona C Ingleby
Journal:  BMJ Open       Date:  2022-06-10       Impact factor: 3.006

3.  The cancer survival index-A prognostic score integrating psychosocial and biological factors in patients diagnosed with cancer or haematologic malignancies.

Authors:  Alexander Gaiger; Simone Lubowitzki; Katharina Krammer; Elisabeth L Zeilinger; Andras Acel; Olivera Cenic; Andrea Schrott; Matthias Unseld; Anahita Paula Rassoulian; Cathrin Skrabs; Peter Valent; Heinz Gisslinger; Christine Marosi; Matthias Preusser; Gerald Prager; Gabriela Kornek; Robert Pirker; Günther G Steger; Rupert Bartsch; Markus Raderer; Ingrid Simonitsch-Klupp; Renate Thalhammer; Christoph Zielinski; Ulrich Jäger
Journal:  Cancer Med       Date:  2022-03-22       Impact factor: 4.711

  3 in total

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