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Modelling strategies to organize healthcare workforce during pandemics: Application to COVID-19
Protection of the healthcare workforce is of paramount importance for the care of patients in the setting of a pandemic such as coronavirus disease 2019 (COVID-19). Healthcare workers are at increased risk of becoming infected. The ideal organisational strategy to protect the workforce in a situatio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041737/ https://www.ncbi.nlm.nih.gov/pubmed/33862091 http://dx.doi.org/10.1016/j.jtbi.2021.110718 |
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author | Sánchez-Taltavull, Daniel Castelo-Szekely, Violeta Candinas, Daniel Roldán, Edgar Beldi, Guido |
author_facet | Sánchez-Taltavull, Daniel Castelo-Szekely, Violeta Candinas, Daniel Roldán, Edgar Beldi, Guido |
author_sort | Sánchez-Taltavull, Daniel |
collection | PubMed |
description | Protection of the healthcare workforce is of paramount importance for the care of patients in the setting of a pandemic such as coronavirus disease 2019 (COVID-19). Healthcare workers are at increased risk of becoming infected. The ideal organisational strategy to protect the workforce in a situation in which social distancing cannot be maintained remains to be determined. In this study, we have mathematically modelled strategies for the employment of the hospital workforce with the goal of simulating the health and productivity of the workers. The models were designed to determine if desynchronization of medical teams by dichotomizing the workers may protect the workforce. Our studies model workforce productivity and the efficiency of home office applied to the case of COVID-19. The results reveal that a desynchronization strategy in which two medical teams work alternating for 7 days increases the available workforce. |
format | Online Article Text |
id | pubmed-8041737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80417372021-04-13 Modelling strategies to organize healthcare workforce during pandemics: Application to COVID-19 Sánchez-Taltavull, Daniel Castelo-Szekely, Violeta Candinas, Daniel Roldán, Edgar Beldi, Guido J Theor Biol Article Protection of the healthcare workforce is of paramount importance for the care of patients in the setting of a pandemic such as coronavirus disease 2019 (COVID-19). Healthcare workers are at increased risk of becoming infected. The ideal organisational strategy to protect the workforce in a situation in which social distancing cannot be maintained remains to be determined. In this study, we have mathematically modelled strategies for the employment of the hospital workforce with the goal of simulating the health and productivity of the workers. The models were designed to determine if desynchronization of medical teams by dichotomizing the workers may protect the workforce. Our studies model workforce productivity and the efficiency of home office applied to the case of COVID-19. The results reveal that a desynchronization strategy in which two medical teams work alternating for 7 days increases the available workforce. The Author(s). Published by Elsevier Ltd. 2021-08-21 2021-04-13 /pmc/articles/PMC8041737/ /pubmed/33862091 http://dx.doi.org/10.1016/j.jtbi.2021.110718 Text en © 2021 The Author(s) 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 | Article Sánchez-Taltavull, Daniel Castelo-Szekely, Violeta Candinas, Daniel Roldán, Edgar Beldi, Guido Modelling strategies to organize healthcare workforce during pandemics: Application to COVID-19 |
title | Modelling strategies to organize healthcare workforce during pandemics: Application to COVID-19 |
title_full | Modelling strategies to organize healthcare workforce during pandemics: Application to COVID-19 |
title_fullStr | Modelling strategies to organize healthcare workforce during pandemics: Application to COVID-19 |
title_full_unstemmed | Modelling strategies to organize healthcare workforce during pandemics: Application to COVID-19 |
title_short | Modelling strategies to organize healthcare workforce during pandemics: Application to COVID-19 |
title_sort | modelling strategies to organize healthcare workforce during pandemics: application to covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041737/ https://www.ncbi.nlm.nih.gov/pubmed/33862091 http://dx.doi.org/10.1016/j.jtbi.2021.110718 |
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