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Effect of the COVID-19 pandemic on incidence of long-term conditions in Welsh residents: a population linkage study

BACKGROUND: The COVID-19 pandemic had direct and indirect effects on health. Indirect effects on long term medical conditions (LTCs) are unclear. We examined trends in recorded incidences of LTCs and quantified differences between expected rates and observed rates from 2020 onwards. METHODS: This is...

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Autores principales: Qi, Cathy, Osborne, Timothy, Bailey, Rowena, Hollinghurst, Joe, Akbari, Ashley, Cooper, Alison, Peters, Holly, Law, Rebecca-Jane, Lewis, Ruth, Edwards, Adrian, Lyons, Ronan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691042/
https://www.ncbi.nlm.nih.gov/pubmed/36930016
http://dx.doi.org/10.1016/S0140-6736(22)02279-6
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author Qi, Cathy
Osborne, Timothy
Bailey, Rowena
Hollinghurst, Joe
Akbari, Ashley
Cooper, Alison
Peters, Holly
Law, Rebecca-Jane
Lewis, Ruth
Edwards, Adrian
Lyons, Ronan
author_facet Qi, Cathy
Osborne, Timothy
Bailey, Rowena
Hollinghurst, Joe
Akbari, Ashley
Cooper, Alison
Peters, Holly
Law, Rebecca-Jane
Lewis, Ruth
Edwards, Adrian
Lyons, Ronan
author_sort Qi, Cathy
collection PubMed
description BACKGROUND: The COVID-19 pandemic had direct and indirect effects on health. Indirect effects on long term medical conditions (LTCs) are unclear. We examined trends in recorded incidences of LTCs and quantified differences between expected rates and observed rates from 2020 onwards. METHODS: This is a population data linkage study using primary and secondary care data within the Secure Anonymised Information Linkage Databank. We included data of Welsh residents diagnosed with any of 17 identified LTCs for the first time between Jan 1, 2000, and Dec 31, 2021. LTC's include mental health conditions, respiratory diseases, and heart conditions among others, generally chosen in line with the Quality and Outcomes Framework. The primary outcome was incidence rates (monthly number of new cases per 100 000 population). For each LTC, we did interrupted time series analysis of incidence rates from 2015 to 2021. Expected rates from between Jan 1, 2020, to Dec 31, 2021, were predicted using overall trends and seasonal patterns from the preceding 5 years and compared with observed rates. FINDINGS: We included 5 476 012 diagnoses from 2 257 992 individuals diagnosed with at least one LTC between Jan 1, 2000, to Dec 31, 2021. Across multiple long-term conditions, there was an abrupt reduction in observed incidence of new diagnoses from March to April 2020, followed by a general increase in incidence towards prepandemic rates. The conditions with the largest percentage difference between the observed and expected incidence rates in 2020 and 2021 were chronic obstructive pulmonary disease (38·4% lower than expected), depression (28·3% lower), hypertension (25·5% lower), and anxiety disorders (24·9% lower). The condition with the largest absolute difference between observed and expected incidence rates was anxiety disorders, with 830 per 100 000 less in 2020 and 2021 compared with observed rates. INTERPRETATION: The reduction in incidence rates of LTCs suggests an underreporting of LTCs, especially during 2020 and early 2021. The emergence of these yet undiagnosed cases could result in a surge of new patients in the near future. FUNDING: This work was supported by the Wales COVID-19 Evidence Centre, funded by Health and Care Research Wales.
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spelling pubmed-96910422022-11-25 Effect of the COVID-19 pandemic on incidence of long-term conditions in Welsh residents: a population linkage study Qi, Cathy Osborne, Timothy Bailey, Rowena Hollinghurst, Joe Akbari, Ashley Cooper, Alison Peters, Holly Law, Rebecca-Jane Lewis, Ruth Edwards, Adrian Lyons, Ronan Lancet Meeting Abstracts BACKGROUND: The COVID-19 pandemic had direct and indirect effects on health. Indirect effects on long term medical conditions (LTCs) are unclear. We examined trends in recorded incidences of LTCs and quantified differences between expected rates and observed rates from 2020 onwards. METHODS: This is a population data linkage study using primary and secondary care data within the Secure Anonymised Information Linkage Databank. We included data of Welsh residents diagnosed with any of 17 identified LTCs for the first time between Jan 1, 2000, and Dec 31, 2021. LTC's include mental health conditions, respiratory diseases, and heart conditions among others, generally chosen in line with the Quality and Outcomes Framework. The primary outcome was incidence rates (monthly number of new cases per 100 000 population). For each LTC, we did interrupted time series analysis of incidence rates from 2015 to 2021. Expected rates from between Jan 1, 2020, to Dec 31, 2021, were predicted using overall trends and seasonal patterns from the preceding 5 years and compared with observed rates. FINDINGS: We included 5 476 012 diagnoses from 2 257 992 individuals diagnosed with at least one LTC between Jan 1, 2000, to Dec 31, 2021. Across multiple long-term conditions, there was an abrupt reduction in observed incidence of new diagnoses from March to April 2020, followed by a general increase in incidence towards prepandemic rates. The conditions with the largest percentage difference between the observed and expected incidence rates in 2020 and 2021 were chronic obstructive pulmonary disease (38·4% lower than expected), depression (28·3% lower), hypertension (25·5% lower), and anxiety disorders (24·9% lower). The condition with the largest absolute difference between observed and expected incidence rates was anxiety disorders, with 830 per 100 000 less in 2020 and 2021 compared with observed rates. INTERPRETATION: The reduction in incidence rates of LTCs suggests an underreporting of LTCs, especially during 2020 and early 2021. The emergence of these yet undiagnosed cases could result in a surge of new patients in the near future. FUNDING: This work was supported by the Wales COVID-19 Evidence Centre, funded by Health and Care Research Wales. Elsevier Ltd. 2022-11 2022-11-24 /pmc/articles/PMC9691042/ /pubmed/36930016 http://dx.doi.org/10.1016/S0140-6736(22)02279-6 Text en Copyright © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Meeting Abstracts
Qi, Cathy
Osborne, Timothy
Bailey, Rowena
Hollinghurst, Joe
Akbari, Ashley
Cooper, Alison
Peters, Holly
Law, Rebecca-Jane
Lewis, Ruth
Edwards, Adrian
Lyons, Ronan
Effect of the COVID-19 pandemic on incidence of long-term conditions in Welsh residents: a population linkage study
title Effect of the COVID-19 pandemic on incidence of long-term conditions in Welsh residents: a population linkage study
title_full Effect of the COVID-19 pandemic on incidence of long-term conditions in Welsh residents: a population linkage study
title_fullStr Effect of the COVID-19 pandemic on incidence of long-term conditions in Welsh residents: a population linkage study
title_full_unstemmed Effect of the COVID-19 pandemic on incidence of long-term conditions in Welsh residents: a population linkage study
title_short Effect of the COVID-19 pandemic on incidence of long-term conditions in Welsh residents: a population linkage study
title_sort effect of the covid-19 pandemic on incidence of long-term conditions in welsh residents: a population linkage study
topic Meeting Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691042/
https://www.ncbi.nlm.nih.gov/pubmed/36930016
http://dx.doi.org/10.1016/S0140-6736(22)02279-6
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