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Survival analysis of cancer patients in Portugal following the reference centre model implementation

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Abstract

Cancer has affected around eighteen million people all over the world in 2018. In Portugal, cancer was diagnosed in sixty thousand individuals during 2018, being the second leading cause of death (one in every four deaths). Following the European Directive 2011/24/EU, the Portuguese Health System has been recognizing oncology Reference Centres (RCs), which are focused on delivering best-in-class treatment for cancer patients. This paper performs a survival analysis of cancer patients in Portugal, having hospital episodes with discharge date after the official recognition, in 2016, of the first RCs for hepatobiliary, pancreatic, sarcomas and oesophageal cancer. The aim is to assess the impact of RCs on the survival probability of these patients. For each cancer type, survival curves are estimated using the Kaplan–Meier methodology, and hazard ratios are estimated for different covariates, using multivariate Extended Cox models. The results obtained support the implementation and encourage the further extension of the RC model for oncology in Portugal, as cancer patients treated in an oncology RC, overall, have a better survival probability when compared to patients who had no episode in an RC. These results are clearer for hepatobiliary and pancreatic cancer, but also visible for sarcomas and oesophageal cancer.

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Acknowledgements

The authors would like to thank the anonymous referees whose comments helped improve the paper. Margarida Catalão-Lopes gratefully acknowledges financial support from Fundação para Ciência e a Tecnologia (FCT), through UIDB/00097/2020. The authors also thank ACSS (“Administração Central do Sistema de Saúde, I.P.”) for making available the dataset which allowed to conduct this research.

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Correspondence to Margarida Catalão-Lopes.

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Melo Mateus, M., Catalão-Lopes, M. & Portugal, R. Survival analysis of cancer patients in Portugal following the reference centre model implementation. Eur J Health Econ 24, 157–168 (2023). https://doi.org/10.1007/s10198-022-01461-x

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