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Describing the indirect impact of COVID-19 on healthcare utilisation using syndromic surveillance systems

BACKGROUND: Since the end of January 2020, the coronavirus (COVID-19) pandemic has been responsible for a global health crisis. In England a number of non-pharmaceutical interventions have been introduced throughout the pandemic, including guidelines on healthcare attendance (for example, promoting...

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Autores principales: Ferraro, Claire F., Findlater, Lucy, Morbey, Roger, Hughes, Helen E., Harcourt, Sally, Hughes, Thomas C., Elliot, Alex J., Oliver, Isabel, Smith, Gillian E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571013/
https://www.ncbi.nlm.nih.gov/pubmed/34740346
http://dx.doi.org/10.1186/s12889-021-12117-5
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author Ferraro, Claire F.
Findlater, Lucy
Morbey, Roger
Hughes, Helen E.
Harcourt, Sally
Hughes, Thomas C.
Elliot, Alex J.
Oliver, Isabel
Smith, Gillian E.
author_facet Ferraro, Claire F.
Findlater, Lucy
Morbey, Roger
Hughes, Helen E.
Harcourt, Sally
Hughes, Thomas C.
Elliot, Alex J.
Oliver, Isabel
Smith, Gillian E.
author_sort Ferraro, Claire F.
collection PubMed
description BACKGROUND: Since the end of January 2020, the coronavirus (COVID-19) pandemic has been responsible for a global health crisis. In England a number of non-pharmaceutical interventions have been introduced throughout the pandemic, including guidelines on healthcare attendance (for example, promoting remote consultations), increased handwashing and social distancing. These interventions are likely to have impacted the incidence of non–COVID-19 conditions as well as healthcare seeking behaviour. Syndromic Surveillance Systems offer the ability to monitor trends in healthcare usage over time. METHODS: This study describes the indirect impact of COVID-19 on healthcare utilisation using a range of syndromic indicators including eye conditions, mumps, fractures, herpes zoster and cardiac conditions. Data from the syndromic surveillance systems monitored by Public Health England were used to describe the number of contacts with NHS 111, general practitioner (GP) In Hours (GPIH) and Out-of-Hours (GPOOH), Ambulance and Emergency Department (ED) services over comparable periods before and during the pandemic. RESULTS: The peak pandemic period in 2020 (weeks 13–20), compared to the same period in 2019, displayed on average a 12% increase in NHS 111 calls, an 11% decrease in GPOOH consultations, and a 49% decrease in ED attendances. In the GP In Hours system, conjunctivitis consultations decreased by 64% and mumps consultations by 31%. There was a 49% reduction in attendance at EDs for fractures, and there was no longer any weekend increase in ED fracture attendances, with similar attendance patterns observed across each day of the week. There was a decrease in the number of ED attendances with diagnoses of myocardial ischaemia. CONCLUSION: The COVID-19 pandemic drastically impacted healthcare utilisation for non-COVID-19 conditions, due to a combination of a probable decrease in incidence of certain conditions and changes in healthcare seeking behaviour. Syndromic surveillance has a valuable role in describing and understanding these trends. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12117-5.
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spelling pubmed-85710132021-11-08 Describing the indirect impact of COVID-19 on healthcare utilisation using syndromic surveillance systems Ferraro, Claire F. Findlater, Lucy Morbey, Roger Hughes, Helen E. Harcourt, Sally Hughes, Thomas C. Elliot, Alex J. Oliver, Isabel Smith, Gillian E. BMC Public Health Research BACKGROUND: Since the end of January 2020, the coronavirus (COVID-19) pandemic has been responsible for a global health crisis. In England a number of non-pharmaceutical interventions have been introduced throughout the pandemic, including guidelines on healthcare attendance (for example, promoting remote consultations), increased handwashing and social distancing. These interventions are likely to have impacted the incidence of non–COVID-19 conditions as well as healthcare seeking behaviour. Syndromic Surveillance Systems offer the ability to monitor trends in healthcare usage over time. METHODS: This study describes the indirect impact of COVID-19 on healthcare utilisation using a range of syndromic indicators including eye conditions, mumps, fractures, herpes zoster and cardiac conditions. Data from the syndromic surveillance systems monitored by Public Health England were used to describe the number of contacts with NHS 111, general practitioner (GP) In Hours (GPIH) and Out-of-Hours (GPOOH), Ambulance and Emergency Department (ED) services over comparable periods before and during the pandemic. RESULTS: The peak pandemic period in 2020 (weeks 13–20), compared to the same period in 2019, displayed on average a 12% increase in NHS 111 calls, an 11% decrease in GPOOH consultations, and a 49% decrease in ED attendances. In the GP In Hours system, conjunctivitis consultations decreased by 64% and mumps consultations by 31%. There was a 49% reduction in attendance at EDs for fractures, and there was no longer any weekend increase in ED fracture attendances, with similar attendance patterns observed across each day of the week. There was a decrease in the number of ED attendances with diagnoses of myocardial ischaemia. CONCLUSION: The COVID-19 pandemic drastically impacted healthcare utilisation for non-COVID-19 conditions, due to a combination of a probable decrease in incidence of certain conditions and changes in healthcare seeking behaviour. Syndromic surveillance has a valuable role in describing and understanding these trends. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12117-5. BioMed Central 2021-11-05 /pmc/articles/PMC8571013/ /pubmed/34740346 http://dx.doi.org/10.1186/s12889-021-12117-5 Text en © The Author(s) 2021 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
Ferraro, Claire F.
Findlater, Lucy
Morbey, Roger
Hughes, Helen E.
Harcourt, Sally
Hughes, Thomas C.
Elliot, Alex J.
Oliver, Isabel
Smith, Gillian E.
Describing the indirect impact of COVID-19 on healthcare utilisation using syndromic surveillance systems
title Describing the indirect impact of COVID-19 on healthcare utilisation using syndromic surveillance systems
title_full Describing the indirect impact of COVID-19 on healthcare utilisation using syndromic surveillance systems
title_fullStr Describing the indirect impact of COVID-19 on healthcare utilisation using syndromic surveillance systems
title_full_unstemmed Describing the indirect impact of COVID-19 on healthcare utilisation using syndromic surveillance systems
title_short Describing the indirect impact of COVID-19 on healthcare utilisation using syndromic surveillance systems
title_sort describing the indirect impact of covid-19 on healthcare utilisation using syndromic surveillance systems
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571013/
https://www.ncbi.nlm.nih.gov/pubmed/34740346
http://dx.doi.org/10.1186/s12889-021-12117-5
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