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

Francisco Estupiñán-Romero Orcid Logo, Santiago Royo-Sierra, Javier González-Galindo, Natalia Martínez-Lizaga Orcid Logo, Petronille Bogaert Orcid Logo, Nienke Schutte Orcid Logo, Liesbet Van Eycken, Nancy Van Damme, Kris Henau, Ronan Lyons Orcid Logo, Sarah Aldridge, Andrea Faragalli Orcid Logo, Flavia Carle, Rosaria Gesuita, Luigi Palmieri Orcid Logo, Jānis Misiņš, Martin Thiβen Orcid Logo, Enrique Bernal-Delgado Orcid Logo

European Journal of Public Health, Volume: 34, Issue: Supplement_1, Pages: i50 - i57

Swansea University Authors: Ronan Lyons Orcid Logo, Sarah Aldridge

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DOI (Published version): 10.1093/eurpub/ckae038

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 retrosp...

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Published in: European Journal of Public Health
ISSN: 1101-1262 1464-360X
Published: Oxford University Press (OUP) 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa68529
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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.</abstract><type>Journal Article</type><journal>European Journal of Public Health</journal><volume>34</volume><journalNumber>Supplement_1</journalNumber><paginationStart>i50</paginationStart><paginationEnd>i57</paginationEnd><publisher>Oxford University Press (OUP)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1101-1262</issnPrint><issnElectronic>1464-360X</issnElectronic><keywords/><publishedDay>1</publishedDay><publishedMonth>7</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-07-01</publishedDate><doi>10.1093/eurpub/ckae038</doi><url/><notes/><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm>Another institution paid the OA fee</apcterm><funders>This project has received funding from the European Union&#x2019;s Horizon 2020 research and innovation programme under grant agreement No 101018317. 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spelling 2024-12-11T15:07:04.3661344 v2 68529 2024-12-11 Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false a42ee8ba1ff8174d5bb62d2d95364b90 Sarah Aldridge Sarah Aldridge true false 2024-12-11 MEDS 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. Journal Article European Journal of Public Health 34 Supplement_1 i50 i57 Oxford University Press (OUP) 1101-1262 1464-360X 1 7 2024 2024-07-01 10.1093/eurpub/ckae038 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Another institution paid the OA fee This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101018317. PHIRI—Population Health Information Research Infrastructure (101018317). 2024-12-11T15:07:04.3661344 2024-12-11T14:58:11.8389510 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Francisco Estupiñán-Romero 0000-0002-6285-8120 1 Santiago Royo-Sierra 2 Javier González-Galindo 3 Natalia Martínez-Lizaga 0000-0002-9586-7955 4 Petronille Bogaert 0000-0002-6983-9571 5 Nienke Schutte 0000-0002-8064-2569 6 Liesbet Van Eycken 7 Nancy Van Damme 8 Kris Henau 9 Ronan Lyons 0000-0001-5225-000X 10 Sarah Aldridge 11 Andrea Faragalli 0000-0003-4414-4789 12 Flavia Carle 13 Rosaria Gesuita 14 Luigi Palmieri 0000-0002-4298-2642 15 Jānis Misiņš 16 Martin Thiβen 0000-0002-5710-5650 17 Enrique Bernal-Delgado 0000-0002-0961-3298 18
title Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study
spellingShingle Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study
Ronan Lyons
Sarah Aldridge
title_short Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study
title_full Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study
title_fullStr Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study
title_full_unstemmed Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study
title_sort Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study
author_id_str_mv 83efcf2a9dfcf8b55586999d3d152ac6
a42ee8ba1ff8174d5bb62d2d95364b90
author_id_fullname_str_mv 83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
a42ee8ba1ff8174d5bb62d2d95364b90_***_Sarah Aldridge
author Ronan Lyons
Sarah Aldridge
author2 Francisco Estupiñán-Romero
Santiago Royo-Sierra
Javier González-Galindo
Natalia Martínez-Lizaga
Petronille Bogaert
Nienke Schutte
Liesbet Van Eycken
Nancy Van Damme
Kris Henau
Ronan Lyons
Sarah Aldridge
Andrea Faragalli
Flavia Carle
Rosaria Gesuita
Luigi Palmieri
Jānis Misiņš
Martin Thiβen
Enrique Bernal-Delgado
format Journal article
container_title European Journal of Public Health
container_volume 34
container_issue Supplement_1
container_start_page i50
publishDate 2024
institution Swansea University
issn 1101-1262
1464-360X
doi_str_mv 10.1093/eurpub/ckae038
publisher Oxford University Press (OUP)
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
document_store_str 0
active_str 0
description 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.
published_date 2024-07-01T20:36:50Z
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score 11.04748

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