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Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study.
Estupiñán-Romero, Francisco; Royo-Sierra, Santiago; González-Galindo, Javier; Martínez-Lizaga, Natalia; Bogaert, Petronille; Schutte, Nienke; Van Eycken, Liesbet; Van Damme, Nancy; Henau, Kris; Lyons, Ronan A; Aldridge, Sarah J; Faragalli, Andrea; Carle, Flavia; Gesuita, Rosaria; Palmieri, Luigi; Misins, Janis; Thißen, Martin; Bernal-Delgado, Enrique.
Afiliação
  • Estupiñán-Romero F; Data Science for Health Services and Policy Research, Health Science Institute in Aragon (IACS), Aragon, Spain.
  • Royo-Sierra S; Data Science for Health Services and Policy Research, Health Science Institute in Aragon (IACS), Aragon, Spain.
  • González-Galindo J; Data Science for Health Services and Policy Research, Health Science Institute in Aragon (IACS), Aragon, Spain.
  • Martínez-Lizaga N; Data Science for Health Services and Policy Research, Health Science Institute in Aragon (IACS), Aragon, Spain.
  • Bogaert P; Sciensano, Brussels, Belgium.
  • Schutte N; Sciensano, Brussels, Belgium.
  • Van Eycken L; Belgian Cancer Registry, Brussels, Belgium.
  • Van Damme N; Belgian Cancer Registry, Brussels, Belgium.
  • Henau K; Belgian Cancer Registry, Brussels, Belgium.
  • Lyons RA; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University (SU), Swansea, United Kingdom.
  • Aldridge SJ; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University (SU), Swansea, United Kingdom.
  • Faragalli A; Center of Epidemiology Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche Home, Marche, Italy.
  • Carle F; Center of Epidemiology Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche Home, Marche, Italy.
  • Gesuita R; Center of Epidemiology Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche Home, Marche, Italy.
  • Palmieri L; Department of Cardiovascular and Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità, Italy.
  • Misins J; Department of Research and Health Statistics, Centre for Disease Prevention and Control (CDPC), Riga, Latvia.
  • Thißen M; Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
  • Bernal-Delgado E; Data Science for Health Services and Policy Research, Health Science Institute in Aragon (IACS), Aragon, Spain.
Eur J Public Health ; 34(Supplement_1): i50-i57, 2024 Jul 01.
Article em En | MEDLINE | ID: mdl-38946448
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Tempo para o Tratamento / SARS-CoV-2 / COVID-19 Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Eur J Public Health Assunto da revista: EPIDEMIOLOGIA / SAUDE PUBLICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Tempo para o Tratamento / SARS-CoV-2 / COVID-19 Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Eur J Public Health Assunto da revista: EPIDEMIOLOGIA / SAUDE PUBLICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha