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“Decline and uneven recovery from 7 common long-term conditions managed in the Catalan primary care after two pandemic years: an observational retrospective population-based study using primary care electronic health records”
BACKGROUND: The incidence of chronic diseases during the COVID-19 pandemic has drastically been reduced worldwide due to disruptions in healthcare systems. The aim of our study is to analyse the trends in the incidence of 7 commonly managed primary care chronic diseases during the last 2 years of th...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840158/ https://www.ncbi.nlm.nih.gov/pubmed/36641483 http://dx.doi.org/10.1186/s12875-022-01935-0 |
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author | Mora, Núria Fina, Francesc Méndez-Boo, Leonardo Cantenys, Roser Benítez, Mència Moreno, Nemesio Balló, Elisabet Hermosilla, Eduardo Fàbregas, Mireia Guiriguet, Carolina Cos, Xavier Rodoreda, Sara Mas, Ariadna Lejardi, Yolanda Coma, Ermengol Medina, Manuel |
author_facet | Mora, Núria Fina, Francesc Méndez-Boo, Leonardo Cantenys, Roser Benítez, Mència Moreno, Nemesio Balló, Elisabet Hermosilla, Eduardo Fàbregas, Mireia Guiriguet, Carolina Cos, Xavier Rodoreda, Sara Mas, Ariadna Lejardi, Yolanda Coma, Ermengol Medina, Manuel |
author_sort | Mora, Núria |
collection | PubMed |
description | BACKGROUND: The incidence of chronic diseases during the COVID-19 pandemic has drastically been reduced worldwide due to disruptions in healthcare systems. The aim of our study is to analyse the trends in the incidence of 7 commonly managed primary care chronic diseases during the last 2 years of the COVID-19 pandemic in Catalonia. METHODS: We performed an observational retrospective population-based study using data from primary care electronic health records from January 2018 to August 2022 (5.1 million people older than 14 years). We divided the study period into two: a pre-pandemic period (before 14 March 2020) and a pandemic period. We performed a segmented regression analysis of daily incidence rates per 100,000 inhabitants of 7 chronic diseases: type 2 diabetes mellitus (T2DM), asthma, chronic obstructive pulmonary disease (COPD), ischemic heart disease (IHD), heart failure (HF), hypertension and hypercholesterolemia. In addition, we compared annual incidence between pandemic years (2020, 2021 and 2022) and 2019. Associated incidence rate ratios (IRR) were also calculated. Finally, we estimated the number of expected diagnoses during the pandemic period using data from 2019 and we compared it with the observed data. RESULTS: We analysed 740,820 new chronic diseases’ diagnoses. Daily incidence rates of all 7 chronic diseases were drastically interrupted on 14 March 2020, and a general upward trend was observed during the following months. Reductions in 2020 were around 30% for all conditions except COPD which had greater reductions (IRR: 0.58 [95% CI: 0.57 to 0.6]) and HF with lesser drops (IRR: 0.86 [95% CI: 0.84 to 0.88]). Some of the chronic conditions have returned to pre-pandemic diagnosis levels, except asthma, COPD and IHD. The return to pre-pandemic diagnosis levels compensated for the drops in 2020 for T2DM and HF, but not for hypertension which presented an incomplete recovery. We also observed an excess of hypercholesterolemia diagnoses of 8.5% (95%CI: 1.81% to 16.15%). CONCLUSIONS: Although primary care has recovered the pre-pandemic diagnosis levels for some chronic diseases, there are still missing diagnoses of asthma, COPD and IHD that should be addressed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-022-01935-0. |
format | Online Article Text |
id | pubmed-9840158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98401582023-01-15 “Decline and uneven recovery from 7 common long-term conditions managed in the Catalan primary care after two pandemic years: an observational retrospective population-based study using primary care electronic health records” Mora, Núria Fina, Francesc Méndez-Boo, Leonardo Cantenys, Roser Benítez, Mència Moreno, Nemesio Balló, Elisabet Hermosilla, Eduardo Fàbregas, Mireia Guiriguet, Carolina Cos, Xavier Rodoreda, Sara Mas, Ariadna Lejardi, Yolanda Coma, Ermengol Medina, Manuel BMC Prim Care Research BACKGROUND: The incidence of chronic diseases during the COVID-19 pandemic has drastically been reduced worldwide due to disruptions in healthcare systems. The aim of our study is to analyse the trends in the incidence of 7 commonly managed primary care chronic diseases during the last 2 years of the COVID-19 pandemic in Catalonia. METHODS: We performed an observational retrospective population-based study using data from primary care electronic health records from January 2018 to August 2022 (5.1 million people older than 14 years). We divided the study period into two: a pre-pandemic period (before 14 March 2020) and a pandemic period. We performed a segmented regression analysis of daily incidence rates per 100,000 inhabitants of 7 chronic diseases: type 2 diabetes mellitus (T2DM), asthma, chronic obstructive pulmonary disease (COPD), ischemic heart disease (IHD), heart failure (HF), hypertension and hypercholesterolemia. In addition, we compared annual incidence between pandemic years (2020, 2021 and 2022) and 2019. Associated incidence rate ratios (IRR) were also calculated. Finally, we estimated the number of expected diagnoses during the pandemic period using data from 2019 and we compared it with the observed data. RESULTS: We analysed 740,820 new chronic diseases’ diagnoses. Daily incidence rates of all 7 chronic diseases were drastically interrupted on 14 March 2020, and a general upward trend was observed during the following months. Reductions in 2020 were around 30% for all conditions except COPD which had greater reductions (IRR: 0.58 [95% CI: 0.57 to 0.6]) and HF with lesser drops (IRR: 0.86 [95% CI: 0.84 to 0.88]). Some of the chronic conditions have returned to pre-pandemic diagnosis levels, except asthma, COPD and IHD. The return to pre-pandemic diagnosis levels compensated for the drops in 2020 for T2DM and HF, but not for hypertension which presented an incomplete recovery. We also observed an excess of hypercholesterolemia diagnoses of 8.5% (95%CI: 1.81% to 16.15%). CONCLUSIONS: Although primary care has recovered the pre-pandemic diagnosis levels for some chronic diseases, there are still missing diagnoses of asthma, COPD and IHD that should be addressed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-022-01935-0. BioMed Central 2023-01-14 /pmc/articles/PMC9840158/ /pubmed/36641483 http://dx.doi.org/10.1186/s12875-022-01935-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Mora, Núria Fina, Francesc Méndez-Boo, Leonardo Cantenys, Roser Benítez, Mència Moreno, Nemesio Balló, Elisabet Hermosilla, Eduardo Fàbregas, Mireia Guiriguet, Carolina Cos, Xavier Rodoreda, Sara Mas, Ariadna Lejardi, Yolanda Coma, Ermengol Medina, Manuel “Decline and uneven recovery from 7 common long-term conditions managed in the Catalan primary care after two pandemic years: an observational retrospective population-based study using primary care electronic health records” |
title | “Decline and uneven recovery from 7 common long-term conditions managed in the Catalan primary care after two pandemic years: an observational retrospective population-based study using primary care electronic health records” |
title_full | “Decline and uneven recovery from 7 common long-term conditions managed in the Catalan primary care after two pandemic years: an observational retrospective population-based study using primary care electronic health records” |
title_fullStr | “Decline and uneven recovery from 7 common long-term conditions managed in the Catalan primary care after two pandemic years: an observational retrospective population-based study using primary care electronic health records” |
title_full_unstemmed | “Decline and uneven recovery from 7 common long-term conditions managed in the Catalan primary care after two pandemic years: an observational retrospective population-based study using primary care electronic health records” |
title_short | “Decline and uneven recovery from 7 common long-term conditions managed in the Catalan primary care after two pandemic years: an observational retrospective population-based study using primary care electronic health records” |
title_sort | “decline and uneven recovery from 7 common long-term conditions managed in the catalan primary care after two pandemic years: an observational retrospective population-based study using primary care electronic health records” |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840158/ https://www.ncbi.nlm.nih.gov/pubmed/36641483 http://dx.doi.org/10.1186/s12875-022-01935-0 |
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