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Impact of the COVID-19 pandemic and related control measures on cancer diagnosis in Catalonia: a time-series analysis of primary care electronic health records covering about five million people
OBJECTIVE: Cancer care has been disrupted by the response of health systems to the COVID-19 pandemic, especially during lockdowns. The objective of our study is to evaluate the impact of the pandemic on the incidence of cancer diagnoses in primary care. DESIGN: Time-series study of malignant neoplas...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130761/ https://www.ncbi.nlm.nih.gov/pubmed/34006554 http://dx.doi.org/10.1136/bmjopen-2020-047567 |
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author | Coma, Ermengol Guiriguet, Carolina Mora, Nuria Marzo-Castillejo, Mercè Benítez, Mencia Méndez-Boo, Leonardo Fina, Francesc Fàbregas, Mireia Mercadé, Albert Medina, Manuel |
author_facet | Coma, Ermengol Guiriguet, Carolina Mora, Nuria Marzo-Castillejo, Mercè Benítez, Mencia Méndez-Boo, Leonardo Fina, Francesc Fàbregas, Mireia Mercadé, Albert Medina, Manuel |
author_sort | Coma, Ermengol |
collection | PubMed |
description | OBJECTIVE: Cancer care has been disrupted by the response of health systems to the COVID-19 pandemic, especially during lockdowns. The objective of our study is to evaluate the impact of the pandemic on the incidence of cancer diagnoses in primary care. DESIGN: Time-series study of malignant neoplasms and diagnostic procedures, using data from the primary care electronic health records from January 2014 to September 2020. SETTING: Primary care, Catalonia, Spain. PARTICIPANTS: People older than 14 years and assigned in one of the primary care practices of the Catalan Institute of Health with a new diagnosis of malignant neoplasm. MAIN OUTCOME MEASURES: We obtained the monthly expected incidence of malignant neoplasms using a temporary regression, where the response variable was the incidence of cancer from 2014 to 2018 and the adjustment variables were the trend and seasonality of the time series. Excess or lack of malignant neoplasms was defined as the number of observed minus expected cases, globally and stratified by sex, age, type of cancer and socioeconomic status. RESULTS: Between March and September 2020 we observed 8766 (95% CI 4135 to 13 397) fewer malignant neoplasm diagnoses, representing a reduction of 34% (95% CI 19.5% to 44.1%) compared with the expected. This underdiagnosis was greater in individuals aged older than 64 years, men and in some types of cancers (skin, colorectal, prostate). Although the reduction was predominantly focused during the lockdown, expected figures have not yet been reached (40.5% reduction during the lockdown and 24.3% reduction after that). CONCLUSIONS: Reduction in cancer incidence has been observed during and after the lockdown. Urgent policy interventions are necessary to mitigate the indirect effects of the COVID-19 pandemic and related control measures on other diseases and some strategies must be designed in order to reduce the underdiagnosis of cancer. |
format | Online Article Text |
id | pubmed-8130761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-81307612021-05-24 Impact of the COVID-19 pandemic and related control measures on cancer diagnosis in Catalonia: a time-series analysis of primary care electronic health records covering about five million people Coma, Ermengol Guiriguet, Carolina Mora, Nuria Marzo-Castillejo, Mercè Benítez, Mencia Méndez-Boo, Leonardo Fina, Francesc Fàbregas, Mireia Mercadé, Albert Medina, Manuel BMJ Open Epidemiology OBJECTIVE: Cancer care has been disrupted by the response of health systems to the COVID-19 pandemic, especially during lockdowns. The objective of our study is to evaluate the impact of the pandemic on the incidence of cancer diagnoses in primary care. DESIGN: Time-series study of malignant neoplasms and diagnostic procedures, using data from the primary care electronic health records from January 2014 to September 2020. SETTING: Primary care, Catalonia, Spain. PARTICIPANTS: People older than 14 years and assigned in one of the primary care practices of the Catalan Institute of Health with a new diagnosis of malignant neoplasm. MAIN OUTCOME MEASURES: We obtained the monthly expected incidence of malignant neoplasms using a temporary regression, where the response variable was the incidence of cancer from 2014 to 2018 and the adjustment variables were the trend and seasonality of the time series. Excess or lack of malignant neoplasms was defined as the number of observed minus expected cases, globally and stratified by sex, age, type of cancer and socioeconomic status. RESULTS: Between March and September 2020 we observed 8766 (95% CI 4135 to 13 397) fewer malignant neoplasm diagnoses, representing a reduction of 34% (95% CI 19.5% to 44.1%) compared with the expected. This underdiagnosis was greater in individuals aged older than 64 years, men and in some types of cancers (skin, colorectal, prostate). Although the reduction was predominantly focused during the lockdown, expected figures have not yet been reached (40.5% reduction during the lockdown and 24.3% reduction after that). CONCLUSIONS: Reduction in cancer incidence has been observed during and after the lockdown. Urgent policy interventions are necessary to mitigate the indirect effects of the COVID-19 pandemic and related control measures on other diseases and some strategies must be designed in order to reduce the underdiagnosis of cancer. BMJ Publishing Group 2021-05-18 /pmc/articles/PMC8130761/ /pubmed/34006554 http://dx.doi.org/10.1136/bmjopen-2020-047567 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology Coma, Ermengol Guiriguet, Carolina Mora, Nuria Marzo-Castillejo, Mercè Benítez, Mencia Méndez-Boo, Leonardo Fina, Francesc Fàbregas, Mireia Mercadé, Albert Medina, Manuel Impact of the COVID-19 pandemic and related control measures on cancer diagnosis in Catalonia: a time-series analysis of primary care electronic health records covering about five million people |
title | Impact of the COVID-19 pandemic and related control measures on cancer diagnosis in Catalonia: a time-series analysis of primary care electronic health records covering about five million people |
title_full | Impact of the COVID-19 pandemic and related control measures on cancer diagnosis in Catalonia: a time-series analysis of primary care electronic health records covering about five million people |
title_fullStr | Impact of the COVID-19 pandemic and related control measures on cancer diagnosis in Catalonia: a time-series analysis of primary care electronic health records covering about five million people |
title_full_unstemmed | Impact of the COVID-19 pandemic and related control measures on cancer diagnosis in Catalonia: a time-series analysis of primary care electronic health records covering about five million people |
title_short | Impact of the COVID-19 pandemic and related control measures on cancer diagnosis in Catalonia: a time-series analysis of primary care electronic health records covering about five million people |
title_sort | impact of the covid-19 pandemic and related control measures on cancer diagnosis in catalonia: a time-series analysis of primary care electronic health records covering about five million people |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130761/ https://www.ncbi.nlm.nih.gov/pubmed/34006554 http://dx.doi.org/10.1136/bmjopen-2020-047567 |
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