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Relationship between intensive care surge capacity and hospital factors: an extensive experience
As a prolonged surge scenario, the COVID-19 pandemic has offered an unparalleled opportunity to improve hospital surge capacity (SC) understanding and the ability to manage it. In this study, the authors report the experience of a large hospital network and evaluate potential relationships between I...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977086/ https://www.ncbi.nlm.nih.gov/pubmed/36859647 http://dx.doi.org/10.1007/s11739-023-03233-8 |
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author | Nocci, Matteo Villa, Gianluca Ragazzoni, Luca Tofani, Lorenzo Romagnoli, Stefano Baldini, Gabriele Bertini, Pietro Hubloue, Ives Scolletta, Sabino Mechi, Maria Teresa Della Corte, Francesco |
author_facet | Nocci, Matteo Villa, Gianluca Ragazzoni, Luca Tofani, Lorenzo Romagnoli, Stefano Baldini, Gabriele Bertini, Pietro Hubloue, Ives Scolletta, Sabino Mechi, Maria Teresa Della Corte, Francesco |
author_sort | Nocci, Matteo |
collection | PubMed |
description | As a prolonged surge scenario, the COVID-19 pandemic has offered an unparalleled opportunity to improve hospital surge capacity (SC) understanding and the ability to manage it. In this study, the authors report the experience of a large hospital network and evaluate potential relationships between Intensive Care Units SC (ICU-SC) and some hospital-related variables: bed occupancy, emergency department admissions, ward admission from ED, and elective surgery procedures. Pearson’s partial correlation coefficient (r) has been used to define the relationship between SC and the daily values of the above variables, collected through a dedicated digital platform that also ensured a regular quality check of the data. The observation has concerned several levels of analysis, namely two different types of SC calculation (SC base—SCb and SC actual—SCa), hospital category level and multi-hospital level, and two consecutive pandemic waves. Among the 16 hospitals observed, the correlation was shown to be moderate-positive with non-ICU bed occupancy (r/ = 0.62, r/ = 0.54), strong/moderate with ICU bed occupancy (r/ = 0.72, r/ = 0.54), and moderate with ward admissions from ED (r/ = 0.50, r/ = 0.51) On the contrary, the correlation proved to be moderate-negative with ED admissions (r/ = − 0.69, r/ = − 0.62) and low with the number of elective surgery procedures (r/ = − 0.10, r/ = − 0.16). This study identified a positive correlation between SC and three variables monitored: ICU bed occupancy, non-ICU bed occupancy, and ward admissions from ED. On the contrary, the correlation was negative for ED admission and the number of elective surgery procedures. The results have been confirmed across all levels of analysis adopted. |
format | Online Article Text |
id | pubmed-9977086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-99770862023-03-02 Relationship between intensive care surge capacity and hospital factors: an extensive experience Nocci, Matteo Villa, Gianluca Ragazzoni, Luca Tofani, Lorenzo Romagnoli, Stefano Baldini, Gabriele Bertini, Pietro Hubloue, Ives Scolletta, Sabino Mechi, Maria Teresa Della Corte, Francesco Intern Emerg Med EM - Original As a prolonged surge scenario, the COVID-19 pandemic has offered an unparalleled opportunity to improve hospital surge capacity (SC) understanding and the ability to manage it. In this study, the authors report the experience of a large hospital network and evaluate potential relationships between Intensive Care Units SC (ICU-SC) and some hospital-related variables: bed occupancy, emergency department admissions, ward admission from ED, and elective surgery procedures. Pearson’s partial correlation coefficient (r) has been used to define the relationship between SC and the daily values of the above variables, collected through a dedicated digital platform that also ensured a regular quality check of the data. The observation has concerned several levels of analysis, namely two different types of SC calculation (SC base—SCb and SC actual—SCa), hospital category level and multi-hospital level, and two consecutive pandemic waves. Among the 16 hospitals observed, the correlation was shown to be moderate-positive with non-ICU bed occupancy (r/ = 0.62, r/ = 0.54), strong/moderate with ICU bed occupancy (r/ = 0.72, r/ = 0.54), and moderate with ward admissions from ED (r/ = 0.50, r/ = 0.51) On the contrary, the correlation proved to be moderate-negative with ED admissions (r/ = − 0.69, r/ = − 0.62) and low with the number of elective surgery procedures (r/ = − 0.10, r/ = − 0.16). This study identified a positive correlation between SC and three variables monitored: ICU bed occupancy, non-ICU bed occupancy, and ward admissions from ED. On the contrary, the correlation was negative for ED admission and the number of elective surgery procedures. The results have been confirmed across all levels of analysis adopted. Springer International Publishing 2023-03-01 /pmc/articles/PMC9977086/ /pubmed/36859647 http://dx.doi.org/10.1007/s11739-023-03233-8 Text en © The Author(s), under exclusive licence to Società Italiana di Medicina Interna (SIMI) 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | EM - Original Nocci, Matteo Villa, Gianluca Ragazzoni, Luca Tofani, Lorenzo Romagnoli, Stefano Baldini, Gabriele Bertini, Pietro Hubloue, Ives Scolletta, Sabino Mechi, Maria Teresa Della Corte, Francesco Relationship between intensive care surge capacity and hospital factors: an extensive experience |
title | Relationship between intensive care surge capacity and hospital factors: an extensive experience |
title_full | Relationship between intensive care surge capacity and hospital factors: an extensive experience |
title_fullStr | Relationship between intensive care surge capacity and hospital factors: an extensive experience |
title_full_unstemmed | Relationship between intensive care surge capacity and hospital factors: an extensive experience |
title_short | Relationship between intensive care surge capacity and hospital factors: an extensive experience |
title_sort | relationship between intensive care surge capacity and hospital factors: an extensive experience |
topic | EM - Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977086/ https://www.ncbi.nlm.nih.gov/pubmed/36859647 http://dx.doi.org/10.1007/s11739-023-03233-8 |
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