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Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study
by
Aldridge, Sarah J
, Bernal-Delgado, Enrique
, Bogaert, Petronille
, Van Eycken, Liesbet
, Carle, Flavia
, Henau, Kris
, Schutte, Nienke
, Martínez-Lizaga, Natalia
, Lyons, Ronan A
, Estupiñán-Romero, Francisco
, Faragalli, Andrea
, Palmieri, Luigi
, Gesuita, Rosaria
, González-Galindo, Javier
, Van Damme, Nancy
, Misiņš, Jānis
, Thiβen, Martin
, Royo-Sierra, Santiago
in
Adult
/ Aged
/ Aggregate data
/ Breakpoints
/ Breast cancer
/ Breast Neoplasms - therapy
/ Cancer
/ Cancer therapies
/ Case studies
/ Change agents
/ Coronaviruses
/ COVID-19
/ COVID-19 - epidemiology
/ Delayed
/ European Union
/ Female
/ Health information
/ Health services
/ Humans
/ Infrastructure
/ Longitudinal Studies
/ Medical treatment
/ Middle Aged
/ Older women
/ Pandemics
/ Patients
/ Population Health
/ Public health
/ Regions
/ Retrospective Studies
/ SARS-CoV-2
/ Statistical analysis
/ Supplement Paper
/ Surgery
/ Time-to-Treatment - statistics & numerical data
/ Treatment Delay
/ Trends
2024
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Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study
by
Aldridge, Sarah J
, Bernal-Delgado, Enrique
, Bogaert, Petronille
, Van Eycken, Liesbet
, Carle, Flavia
, Henau, Kris
, Schutte, Nienke
, Martínez-Lizaga, Natalia
, Lyons, Ronan A
, Estupiñán-Romero, Francisco
, Faragalli, Andrea
, Palmieri, Luigi
, Gesuita, Rosaria
, González-Galindo, Javier
, Van Damme, Nancy
, Misiņš, Jānis
, Thiβen, Martin
, Royo-Sierra, Santiago
in
Adult
/ Aged
/ Aggregate data
/ Breakpoints
/ Breast cancer
/ Breast Neoplasms - therapy
/ Cancer
/ Cancer therapies
/ Case studies
/ Change agents
/ Coronaviruses
/ COVID-19
/ COVID-19 - epidemiology
/ Delayed
/ European Union
/ Female
/ Health information
/ Health services
/ Humans
/ Infrastructure
/ Longitudinal Studies
/ Medical treatment
/ Middle Aged
/ Older women
/ Pandemics
/ Patients
/ Population Health
/ Public health
/ Regions
/ Retrospective Studies
/ SARS-CoV-2
/ Statistical analysis
/ Supplement Paper
/ Surgery
/ Time-to-Treatment - statistics & numerical data
/ Treatment Delay
/ Trends
2024
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Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study
by
Aldridge, Sarah J
, Bernal-Delgado, Enrique
, Bogaert, Petronille
, Van Eycken, Liesbet
, Carle, Flavia
, Henau, Kris
, Schutte, Nienke
, Martínez-Lizaga, Natalia
, Lyons, Ronan A
, Estupiñán-Romero, Francisco
, Faragalli, Andrea
, Palmieri, Luigi
, Gesuita, Rosaria
, González-Galindo, Javier
, Van Damme, Nancy
, Misiņš, Jānis
, Thiβen, Martin
, Royo-Sierra, Santiago
in
Adult
/ Aged
/ Aggregate data
/ Breakpoints
/ Breast cancer
/ Breast Neoplasms - therapy
/ Cancer
/ Cancer therapies
/ Case studies
/ Change agents
/ Coronaviruses
/ COVID-19
/ COVID-19 - epidemiology
/ Delayed
/ European Union
/ Female
/ Health information
/ Health services
/ Humans
/ Infrastructure
/ Longitudinal Studies
/ Medical treatment
/ Middle Aged
/ Older women
/ Pandemics
/ Patients
/ Population Health
/ Public health
/ Regions
/ Retrospective Studies
/ SARS-CoV-2
/ Statistical analysis
/ Supplement Paper
/ Surgery
/ Time-to-Treatment - statistics & numerical data
/ Treatment Delay
/ Trends
2024
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Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study
Journal Article
Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study
2024
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Overview
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.
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.
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.
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.
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