Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study

Author:

Estupiñán-Romero Francisco1ORCID,Royo-Sierra Santiago1,González-Galindo Javier1,Martínez-Lizaga Natalia1ORCID,Bogaert Petronille2ORCID,Schutte Nienke2ORCID,Van Eycken Liesbet3,Van Damme Nancy3,Henau Kris3,Lyons Ronan A4,Aldridge Sarah J4,Faragalli Andrea5ORCID,Carle Flavia5,Gesuita Rosaria5,Palmieri Luigi6ORCID,Misiņš Jānis7,Thiβen Martin8ORCID,Bernal-Delgado Enrique1ORCID

Affiliation:

1. Data Science for Health Services and Policy Research, Health Science Institute in Aragon (IACS) , Aragon, Spain

2. Sciensano , Brussels, Belgium

3. Belgian Cancer Registry , Brussels, Belgium

4. Population Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University (SU) , Swansea, United Kingdom

5. Center of Epidemiology Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche Home , Marche, Italy

6. Department of Cardiovascular and Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità , Italy

7. Department of Research and Health Statistics, Centre for Disease Prevention and Control (CDPC) , Riga, Latvia

8. Department of Epidemiology and Health Monitoring, Robert Koch Institute , Berlin, Germany

Abstract

Abstract Background The indirect impact of the coronavirus disease 2019 pandemic on healthcare services was studied by assessing changes in the trend of the time to first treatment for women 18 or older who were diagnosed and treated for breast cancer between 2017 and 2021. Methods An observational retrospective longitudinal study based on aggregated data from four European Union (EU) countries/regions investigating the time it took to receive breast cancer treatment. We compiled outputs from a federated analysis to detect structural breakpoints, confirming the empirical breakpoints by differences between the trends observed and forecasted after March 2020. Finally, we built several segmented regressions to explore the association of contextual factors with the observed changes in treatment delays. Results We observed empirical structural breakpoints on the monthly median time to surgery trend in Aragon (ranging from 9.20 to 17.38 days), Marche (from 37.17 to 42.04 days) and Wales (from 28.67 to 35.08 days). On the contrary, no empirical structural breakpoints were observed in Belgium (ranging from 21.25 to 23.95 days) after the pandemic's beginning. Furthermore, we confirmed statistically significant differences between the observed trend and the forecasts for Aragon and Wales. Finally, we found the interaction between the region and the pandemic's start (before/after March 2020) significantly associated with the trend of delayed breast cancer treatment at the population level. Conclusions Although they were not clinically relevant, only Aragon and Wales showed significant differences with expected delays after March 2020. However, experiences differed between countries/regions, pointing to structural factors other than the pandemic.

Funder

European Union’s Horizon 2020 research and innovation programme

Publisher

Oxford University Press (OUP)

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