Cargando…

Development and presentation of an objective risk stratification tool for healthcare workers when dealing with the COVID-19 pandemic in the UK: risk modelling based on hospitalisation and mortality statistics compared with epidemiological data

OBJECTIVES: Healthcare workers have greater exposure to SARS-CoV-2 and an estimated 2.5-fold increased risk of contracting COVID-19 than the general population. We wished to explore the predictive role of basic demographics to establish a simple tool that could help risk stratify healthcare workers....

Descripción completa

Detalles Bibliográficos
Autores principales: Strain, W David, Jankowski, Janusz, Davies, Angharad P, English, Peter, Friedman, Ellis, McKeown, Helena, Sethi, Su, Rao, Mala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449844/
https://www.ncbi.nlm.nih.gov/pubmed/34531201
http://dx.doi.org/10.1136/bmjopen-2020-042225
_version_ 1784569498831945728
author Strain, W David
Jankowski, Janusz
Davies, Angharad P
English, Peter
Friedman, Ellis
McKeown, Helena
Sethi, Su
Rao, Mala
author_facet Strain, W David
Jankowski, Janusz
Davies, Angharad P
English, Peter
Friedman, Ellis
McKeown, Helena
Sethi, Su
Rao, Mala
author_sort Strain, W David
collection PubMed
description OBJECTIVES: Healthcare workers have greater exposure to SARS-CoV-2 and an estimated 2.5-fold increased risk of contracting COVID-19 than the general population. We wished to explore the predictive role of basic demographics to establish a simple tool that could help risk stratify healthcare workers. SETTING: We undertook a review of the published literature (including multiple search strategies in MEDLINE with PubMed interface) and critically assessed early reports on preprint servers. We explored the relative risk of mortality from readily available demographics to identify the population at the highest risk. RESULTS: The published studies specifically assessing the risk of healthcare workers had limited demographics available; therefore, we explored the general population in the literature. Clinician demographics: Mortality increased with increasing age from 50 years onwards. Male sex at birth, and people of black and minority ethnicity groups had higher susceptibility to both hospitalisation and mortality. Comorbid disease. Vascular disease, renal disease, diabetes and chronic pulmonary disease further increased risk. Risk stratification tool: A risk stratification tool was compiled using a white female aged <50 years with no comorbidities as a reference. A point allocated to risk factors was associated with an approximate doubling in risk. This tool provides numerical support for healthcare workers when determining which team members should be allocated to patient facing clinical duties compared with remote supportive roles. CONCLUSIONS: We generated a tool that provides a framework for objective risk stratification of doctors and healthcare professionals during the COVID-19 pandemic, without requiring disclosure of information that an individual may not wish to share with their direct line manager during the risk assessment process. This tool has been made freely available through the British Medical Association website and is widely used in the National Health Service and other external organisations.
format Online
Article
Text
id pubmed-8449844
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-84498442021-09-20 Development and presentation of an objective risk stratification tool for healthcare workers when dealing with the COVID-19 pandemic in the UK: risk modelling based on hospitalisation and mortality statistics compared with epidemiological data Strain, W David Jankowski, Janusz Davies, Angharad P English, Peter Friedman, Ellis McKeown, Helena Sethi, Su Rao, Mala BMJ Open Occupational and Environmental Medicine OBJECTIVES: Healthcare workers have greater exposure to SARS-CoV-2 and an estimated 2.5-fold increased risk of contracting COVID-19 than the general population. We wished to explore the predictive role of basic demographics to establish a simple tool that could help risk stratify healthcare workers. SETTING: We undertook a review of the published literature (including multiple search strategies in MEDLINE with PubMed interface) and critically assessed early reports on preprint servers. We explored the relative risk of mortality from readily available demographics to identify the population at the highest risk. RESULTS: The published studies specifically assessing the risk of healthcare workers had limited demographics available; therefore, we explored the general population in the literature. Clinician demographics: Mortality increased with increasing age from 50 years onwards. Male sex at birth, and people of black and minority ethnicity groups had higher susceptibility to both hospitalisation and mortality. Comorbid disease. Vascular disease, renal disease, diabetes and chronic pulmonary disease further increased risk. Risk stratification tool: A risk stratification tool was compiled using a white female aged <50 years with no comorbidities as a reference. A point allocated to risk factors was associated with an approximate doubling in risk. This tool provides numerical support for healthcare workers when determining which team members should be allocated to patient facing clinical duties compared with remote supportive roles. CONCLUSIONS: We generated a tool that provides a framework for objective risk stratification of doctors and healthcare professionals during the COVID-19 pandemic, without requiring disclosure of information that an individual may not wish to share with their direct line manager during the risk assessment process. This tool has been made freely available through the British Medical Association website and is widely used in the National Health Service and other external organisations. BMJ Publishing Group 2021-09-15 /pmc/articles/PMC8449844/ /pubmed/34531201 http://dx.doi.org/10.1136/bmjopen-2020-042225 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Occupational and Environmental Medicine
Strain, W David
Jankowski, Janusz
Davies, Angharad P
English, Peter
Friedman, Ellis
McKeown, Helena
Sethi, Su
Rao, Mala
Development and presentation of an objective risk stratification tool for healthcare workers when dealing with the COVID-19 pandemic in the UK: risk modelling based on hospitalisation and mortality statistics compared with epidemiological data
title Development and presentation of an objective risk stratification tool for healthcare workers when dealing with the COVID-19 pandemic in the UK: risk modelling based on hospitalisation and mortality statistics compared with epidemiological data
title_full Development and presentation of an objective risk stratification tool for healthcare workers when dealing with the COVID-19 pandemic in the UK: risk modelling based on hospitalisation and mortality statistics compared with epidemiological data
title_fullStr Development and presentation of an objective risk stratification tool for healthcare workers when dealing with the COVID-19 pandemic in the UK: risk modelling based on hospitalisation and mortality statistics compared with epidemiological data
title_full_unstemmed Development and presentation of an objective risk stratification tool for healthcare workers when dealing with the COVID-19 pandemic in the UK: risk modelling based on hospitalisation and mortality statistics compared with epidemiological data
title_short Development and presentation of an objective risk stratification tool for healthcare workers when dealing with the COVID-19 pandemic in the UK: risk modelling based on hospitalisation and mortality statistics compared with epidemiological data
title_sort development and presentation of an objective risk stratification tool for healthcare workers when dealing with the covid-19 pandemic in the uk: risk modelling based on hospitalisation and mortality statistics compared with epidemiological data
topic Occupational and Environmental Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449844/
https://www.ncbi.nlm.nih.gov/pubmed/34531201
http://dx.doi.org/10.1136/bmjopen-2020-042225
work_keys_str_mv AT strainwdavid developmentandpresentationofanobjectiveriskstratificationtoolforhealthcareworkerswhendealingwiththecovid19pandemicintheukriskmodellingbasedonhospitalisationandmortalitystatisticscomparedwithepidemiologicaldata
AT jankowskijanusz developmentandpresentationofanobjectiveriskstratificationtoolforhealthcareworkerswhendealingwiththecovid19pandemicintheukriskmodellingbasedonhospitalisationandmortalitystatisticscomparedwithepidemiologicaldata
AT daviesangharadp developmentandpresentationofanobjectiveriskstratificationtoolforhealthcareworkerswhendealingwiththecovid19pandemicintheukriskmodellingbasedonhospitalisationandmortalitystatisticscomparedwithepidemiologicaldata
AT englishpeter developmentandpresentationofanobjectiveriskstratificationtoolforhealthcareworkerswhendealingwiththecovid19pandemicintheukriskmodellingbasedonhospitalisationandmortalitystatisticscomparedwithepidemiologicaldata
AT friedmanellis developmentandpresentationofanobjectiveriskstratificationtoolforhealthcareworkerswhendealingwiththecovid19pandemicintheukriskmodellingbasedonhospitalisationandmortalitystatisticscomparedwithepidemiologicaldata
AT mckeownhelena developmentandpresentationofanobjectiveriskstratificationtoolforhealthcareworkerswhendealingwiththecovid19pandemicintheukriskmodellingbasedonhospitalisationandmortalitystatisticscomparedwithepidemiologicaldata
AT sethisu developmentandpresentationofanobjectiveriskstratificationtoolforhealthcareworkerswhendealingwiththecovid19pandemicintheukriskmodellingbasedonhospitalisationandmortalitystatisticscomparedwithepidemiologicaldata
AT raomala developmentandpresentationofanobjectiveriskstratificationtoolforhealthcareworkerswhendealingwiththecovid19pandemicintheukriskmodellingbasedonhospitalisationandmortalitystatisticscomparedwithepidemiologicaldata