ArticleArchives of public health = Archives belges de sante publique2019
The EMPCAN study: protocol of a population-based cohort study on the evolution of the socio-economic position of workers with cancer.
Article in Archives of public health = Archives belges de sante publique, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Factors related to the return to work of head and neck cancer patients diagnosed between 2004-2011 in Belgium: a multivariate Fine-Gray regression model analysis.Archives of public health = Archives belges de sante publique · 2024Article
- Innovative use of data sources: a cross-sectional study of data linkage and artificial intelligence practices across European countries.Archives of public health = Archives belges de sante publique · 2020Article
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Authors and funding
5 authors.
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Abstract
backgroundThe improvements in cancer control led to an increase in the number of cancer survivors, notably, in the working age population (16-64 years). There is a strong need to assess and understand their reintegration on the labour market, which underlines and ensures their social integration and quality of life. The objectives of the EMPCAN study is therefore to measure the scale of return-to-work after cancer and to identify the determining factors, allowing for the implementation of an adequate socio-professional support.
methodsWe requested data from the Belgian Cancer Registry and the Crossroad Bank for Social Security. We included all socially insured Belgian workers diagnosed between 2004 and 2011 with colorectal, breast, head & neck, prostate, testis, lung and corpus uteri cancer. The end of (administrative) follow-up was 31st December 2012. We include demographic, health-related and work-related factors in the analysis and observed how these factors interplay to determine the working status. After having solved legal, ethical and technical issues for the coupling, we will perform survival analysis with competing risks using the Fine and Gray model; we will also perform a multistate model using transitions probabilities; and finally, a group-based modeling for longitudinal data using the 'proc traj' package in SAS. DISCUSSION: The results of the EMPCAN study will allow the provision of an evidence-based support to professional reintegration policies. It will also bring some key features for the prediction of the cancer-related social security needs. Besides the raise of awareness among health professionals and policy makers, this study could lead to a better planning and organization of vocational rehabilitation programs.
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