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The impact of the COVID-19 pandemic on the treatment of common infections in primary care and the change to antibiotic prescribing in England

BACKGROUND: There is concern that the COVID-19 pandemic altered the management of common infections in primary care. This study aimed to evaluate infection-coded consultation rates and antibiotic use during the pandemic and how any change may have affected clinical outcomes. METHODS: With the approv...

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Autores principales: Yang, Ya-Ting, Zhong, Xiaomin, Fahmi, Ali, Watts, Simon, Ashcroft, Darren M., Massey, Jon, Fisher, Louis, MacKenna, Brian, Mehrkar, Amir, Bacon, Sebastian C. J., Goldacre, Ben, Hand, Kieran, van Staa, Tjeerd, Palin, Victoria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504725/
https://www.ncbi.nlm.nih.gov/pubmed/37717030
http://dx.doi.org/10.1186/s13756-023-01280-6
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author Yang, Ya-Ting
Zhong, Xiaomin
Fahmi, Ali
Watts, Simon
Ashcroft, Darren M.
Massey, Jon
Fisher, Louis
MacKenna, Brian
Mehrkar, Amir
Bacon, Sebastian C. J.
Goldacre, Ben
Hand, Kieran
van Staa, Tjeerd
Palin, Victoria
author_facet Yang, Ya-Ting
Zhong, Xiaomin
Fahmi, Ali
Watts, Simon
Ashcroft, Darren M.
Massey, Jon
Fisher, Louis
MacKenna, Brian
Mehrkar, Amir
Bacon, Sebastian C. J.
Goldacre, Ben
Hand, Kieran
van Staa, Tjeerd
Palin, Victoria
author_sort Yang, Ya-Ting
collection PubMed
description BACKGROUND: There is concern that the COVID-19 pandemic altered the management of common infections in primary care. This study aimed to evaluate infection-coded consultation rates and antibiotic use during the pandemic and how any change may have affected clinical outcomes. METHODS: With the approval of NHS England, a retrospective cohort study using the OpenSAFELY platform analysed routinely collected electronic health data from GP practices in England between January 2019 and December 2021. Infection coded consultations and antibiotic prescriptions were used estimate multiple measures over calendar months, including age-sex adjusted prescribing rates, prescribing by infection and antibiotic type, infection consultation rates, coding quality and rate of same-day antibiotic prescribing for COVID-19 infections. Interrupted time series (ITS) estimated the effect of COVID-19 pandemic on infection-coded consultation rates. The impact of the pandemic on non- COVID-19 infection-related hospitalisations was also estimated. RESULTS: Records from 24 million patients were included. The rate of infection-related consultations fell for all infections (mean reduction of 39% in 2020 compared to 2019 mean rate), except for UTI which remained stable. Modelling infection-related consultation rates highlighted this with an incidence rate ratio of 0.44 (95% CI 0.36–0.53) for incident consultations and 0.43 (95% CI 0.33–0.54) for prevalent consultations. Lower respiratory tract infections (LRTI) saw the largest reduction of 0.11 (95% CI 0.07–0.17). Antibiotic prescribing rates fell with a mean reduction of 118.4 items per 1000 patients in 2020, returning to pre-pandemic rates by summer 2021. Prescribing for LRTI decreased 20% and URTI increased 15.9%. Over 60% of antibiotics were issued without an associated same-day infection code, which increased during the pandemic. Infection-related hospitalisations reduced (by 62%), with the largest reduction observed for pneumonia infections (72.9%). Same-day antibiotic prescribing for COVID-19 infection increased from 1 to 10.5% between the second and third national lockdowns and rose again during 2022. CONCLUSIONS: Changes to consultations and hospital admissions may be driven by reduced transmission of non-COVID-19 infections due to reduced social mixing and lockdowns. Inconsistencies in coding practice emphasises the need for improvement to inform new antibiotic stewardship policies and prevent resistance to novel infections. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13756-023-01280-6.
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spelling pubmed-105047252023-09-17 The impact of the COVID-19 pandemic on the treatment of common infections in primary care and the change to antibiotic prescribing in England Yang, Ya-Ting Zhong, Xiaomin Fahmi, Ali Watts, Simon Ashcroft, Darren M. Massey, Jon Fisher, Louis MacKenna, Brian Mehrkar, Amir Bacon, Sebastian C. J. Goldacre, Ben Hand, Kieran van Staa, Tjeerd Palin, Victoria Antimicrob Resist Infect Control Research BACKGROUND: There is concern that the COVID-19 pandemic altered the management of common infections in primary care. This study aimed to evaluate infection-coded consultation rates and antibiotic use during the pandemic and how any change may have affected clinical outcomes. METHODS: With the approval of NHS England, a retrospective cohort study using the OpenSAFELY platform analysed routinely collected electronic health data from GP practices in England between January 2019 and December 2021. Infection coded consultations and antibiotic prescriptions were used estimate multiple measures over calendar months, including age-sex adjusted prescribing rates, prescribing by infection and antibiotic type, infection consultation rates, coding quality and rate of same-day antibiotic prescribing for COVID-19 infections. Interrupted time series (ITS) estimated the effect of COVID-19 pandemic on infection-coded consultation rates. The impact of the pandemic on non- COVID-19 infection-related hospitalisations was also estimated. RESULTS: Records from 24 million patients were included. The rate of infection-related consultations fell for all infections (mean reduction of 39% in 2020 compared to 2019 mean rate), except for UTI which remained stable. Modelling infection-related consultation rates highlighted this with an incidence rate ratio of 0.44 (95% CI 0.36–0.53) for incident consultations and 0.43 (95% CI 0.33–0.54) for prevalent consultations. Lower respiratory tract infections (LRTI) saw the largest reduction of 0.11 (95% CI 0.07–0.17). Antibiotic prescribing rates fell with a mean reduction of 118.4 items per 1000 patients in 2020, returning to pre-pandemic rates by summer 2021. Prescribing for LRTI decreased 20% and URTI increased 15.9%. Over 60% of antibiotics were issued without an associated same-day infection code, which increased during the pandemic. Infection-related hospitalisations reduced (by 62%), with the largest reduction observed for pneumonia infections (72.9%). Same-day antibiotic prescribing for COVID-19 infection increased from 1 to 10.5% between the second and third national lockdowns and rose again during 2022. CONCLUSIONS: Changes to consultations and hospital admissions may be driven by reduced transmission of non-COVID-19 infections due to reduced social mixing and lockdowns. Inconsistencies in coding practice emphasises the need for improvement to inform new antibiotic stewardship policies and prevent resistance to novel infections. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13756-023-01280-6. BioMed Central 2023-09-16 /pmc/articles/PMC10504725/ /pubmed/37717030 http://dx.doi.org/10.1186/s13756-023-01280-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Yang, Ya-Ting
Zhong, Xiaomin
Fahmi, Ali
Watts, Simon
Ashcroft, Darren M.
Massey, Jon
Fisher, Louis
MacKenna, Brian
Mehrkar, Amir
Bacon, Sebastian C. J.
Goldacre, Ben
Hand, Kieran
van Staa, Tjeerd
Palin, Victoria
The impact of the COVID-19 pandemic on the treatment of common infections in primary care and the change to antibiotic prescribing in England
title The impact of the COVID-19 pandemic on the treatment of common infections in primary care and the change to antibiotic prescribing in England
title_full The impact of the COVID-19 pandemic on the treatment of common infections in primary care and the change to antibiotic prescribing in England
title_fullStr The impact of the COVID-19 pandemic on the treatment of common infections in primary care and the change to antibiotic prescribing in England
title_full_unstemmed The impact of the COVID-19 pandemic on the treatment of common infections in primary care and the change to antibiotic prescribing in England
title_short The impact of the COVID-19 pandemic on the treatment of common infections in primary care and the change to antibiotic prescribing in England
title_sort impact of the covid-19 pandemic on the treatment of common infections in primary care and the change to antibiotic prescribing in england
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504725/
https://www.ncbi.nlm.nih.gov/pubmed/37717030
http://dx.doi.org/10.1186/s13756-023-01280-6
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