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Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19
BACKGROUND: This paper describes a model for estimating COVID-19 related excess deaths that are a direct consequence of insufficient hospital ward bed and intensive care unit (ICU) capacity. METHODS: Compartmental models were used to estimate deaths under different combinations of ICU and ward care...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076441/ https://www.ncbi.nlm.nih.gov/pubmed/33906636 http://dx.doi.org/10.1186/s12911-021-01504-y |
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author | Martin, Christopher McDonald, Stuart Bale, Steve Luteijn, Michiel Sarkar, Rahul |
author_facet | Martin, Christopher McDonald, Stuart Bale, Steve Luteijn, Michiel Sarkar, Rahul |
author_sort | Martin, Christopher |
collection | PubMed |
description | BACKGROUND: This paper describes a model for estimating COVID-19 related excess deaths that are a direct consequence of insufficient hospital ward bed and intensive care unit (ICU) capacity. METHODS: Compartmental models were used to estimate deaths under different combinations of ICU and ward care required and received in England up to late April 2021. Model parameters were sourced from publicly available government information and organisations collating COVID-19 data. A sub-model was used to estimate the mortality scalars that represent increased mortality due to insufficient ICU or general ward bed capacity. Three illustrative scenarios for admissions numbers, ‘Optimistic’, ‘Middling’ and ‘Pessimistic’, were modelled and compared with the subsequent observations to the 3rd February. RESULTS: The key output was the demand and capacity model described. There were no excess deaths from a lack of capacity in the ‘Optimistic’ scenario. Several of the ‘Middling’ scenario applications resulted in excess deaths—up to 597 deaths (0.6% increase) with a 20% reduction compared to best estimate ICU capacity. All the ‘Pessimistic’ scenario applications resulted in excess deaths, ranging from 49,178 (17.0% increase) for a 20% increase in ward bed availability, to 103,735 (35.8% increase) for a 20% shortfall in ward bed availability. These scenarios took no account of the emergence of the new, more transmissible, variant of concern (b.1.1.7). CONCLUSIONS: Mortality is increased when hospital demand exceeds available capacity. No excess deaths from breaching capacity would be expected under the ‘Optimistic’ scenario. The ‘Middling’ scenario could result in some excess deaths—up to a 0.7% increase relative to the total number of deaths. The ‘Pessimistic’ scenario would have resulted in significant excess deaths. Our sensitivity analysis indicated a range between 49,178 (17% increase) and 103,735 (35.8% increase). Given the new variant, the pessimistic scenario appeared increasingly likely and could have resulted in a substantial increase in the number of COVID-19 deaths. In the event, it would appear that capacity was not breached at any stage at a national level with no excess deaths. it will remain unclear if minor local capacity breaches resulted in any small number of excess deaths. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-021-01504-y. |
format | Online Article Text |
id | pubmed-8076441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80764412021-04-27 Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19 Martin, Christopher McDonald, Stuart Bale, Steve Luteijn, Michiel Sarkar, Rahul BMC Med Inform Decis Mak Research BACKGROUND: This paper describes a model for estimating COVID-19 related excess deaths that are a direct consequence of insufficient hospital ward bed and intensive care unit (ICU) capacity. METHODS: Compartmental models were used to estimate deaths under different combinations of ICU and ward care required and received in England up to late April 2021. Model parameters were sourced from publicly available government information and organisations collating COVID-19 data. A sub-model was used to estimate the mortality scalars that represent increased mortality due to insufficient ICU or general ward bed capacity. Three illustrative scenarios for admissions numbers, ‘Optimistic’, ‘Middling’ and ‘Pessimistic’, were modelled and compared with the subsequent observations to the 3rd February. RESULTS: The key output was the demand and capacity model described. There were no excess deaths from a lack of capacity in the ‘Optimistic’ scenario. Several of the ‘Middling’ scenario applications resulted in excess deaths—up to 597 deaths (0.6% increase) with a 20% reduction compared to best estimate ICU capacity. All the ‘Pessimistic’ scenario applications resulted in excess deaths, ranging from 49,178 (17.0% increase) for a 20% increase in ward bed availability, to 103,735 (35.8% increase) for a 20% shortfall in ward bed availability. These scenarios took no account of the emergence of the new, more transmissible, variant of concern (b.1.1.7). CONCLUSIONS: Mortality is increased when hospital demand exceeds available capacity. No excess deaths from breaching capacity would be expected under the ‘Optimistic’ scenario. The ‘Middling’ scenario could result in some excess deaths—up to a 0.7% increase relative to the total number of deaths. The ‘Pessimistic’ scenario would have resulted in significant excess deaths. Our sensitivity analysis indicated a range between 49,178 (17% increase) and 103,735 (35.8% increase). Given the new variant, the pessimistic scenario appeared increasingly likely and could have resulted in a substantial increase in the number of COVID-19 deaths. In the event, it would appear that capacity was not breached at any stage at a national level with no excess deaths. it will remain unclear if minor local capacity breaches resulted in any small number of excess deaths. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-021-01504-y. BioMed Central 2021-04-27 /pmc/articles/PMC8076441/ /pubmed/33906636 http://dx.doi.org/10.1186/s12911-021-01504-y 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 Martin, Christopher McDonald, Stuart Bale, Steve Luteijn, Michiel Sarkar, Rahul Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19 |
title | Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19 |
title_full | Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19 |
title_fullStr | Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19 |
title_full_unstemmed | Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19 |
title_short | Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19 |
title_sort | construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from covid-19 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076441/ https://www.ncbi.nlm.nih.gov/pubmed/33906636 http://dx.doi.org/10.1186/s12911-021-01504-y |
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