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Hospital length of stay throughout bed pathways and factors affecting this time: A non-concurrent cohort study of Colombia COVID-19 patients and an unCoVer network project

Predictions of hospital beds occupancy depends on hospital admission rates and the length of stay (LoS) according to bed type (general ward -GW- and intensive care unit -ICU- beds). The objective of this study was to describe the LoS of COVID-19 hospital patients in Colombia during 2020–2021. Accele...

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Autores principales: Ruiz Galvis, Lina Marcela, Pérez Aguirre, Carlos Andrés, Pérez Bedoya, Juan Pablo, Mendoza Cardozo, Oscar Ignacio, Barengo, Noël Christopher, Sánchez Escudero, Juan Pablo, Cardona Jiménez, Johnatan, Diaz Valencia, Paula Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370719/
https://www.ncbi.nlm.nih.gov/pubmed/37494381
http://dx.doi.org/10.1371/journal.pone.0278429
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author Ruiz Galvis, Lina Marcela
Pérez Aguirre, Carlos Andrés
Pérez Bedoya, Juan Pablo
Mendoza Cardozo, Oscar Ignacio
Barengo, Noël Christopher
Sánchez Escudero, Juan Pablo
Cardona Jiménez, Johnatan
Diaz Valencia, Paula Andrea
author_facet Ruiz Galvis, Lina Marcela
Pérez Aguirre, Carlos Andrés
Pérez Bedoya, Juan Pablo
Mendoza Cardozo, Oscar Ignacio
Barengo, Noël Christopher
Sánchez Escudero, Juan Pablo
Cardona Jiménez, Johnatan
Diaz Valencia, Paula Andrea
author_sort Ruiz Galvis, Lina Marcela
collection PubMed
description Predictions of hospital beds occupancy depends on hospital admission rates and the length of stay (LoS) according to bed type (general ward -GW- and intensive care unit -ICU- beds). The objective of this study was to describe the LoS of COVID-19 hospital patients in Colombia during 2020–2021. Accelerated failure time models were used to estimate the LoS distribution according to each bed type and throughout each bed pathway. Acceleration factors and 95% confidence intervals were calculated to measure the effect on LoS of the outcome, sex, age, admission period during the epidemic (i.e., epidemic waves, peaks or valleys, and before/after vaccination period), and patients geographic origin. Most of the admitted COVID-19 patients occupied just a GW bed. Recovered patients spent more time in the GW and ICU beds than deceased patients. Men had longer LoS than women. In general, the LoS increased with age. Finally, the LoS varied along epidemic waves. It was lower in epidemic valleys than peaks, and decreased after vaccinations began in Colombia. Our study highlights the necessity of analyzing local data on hospital admission rates and LoS to design strategies to prioritize hospital beds resources during the current and future pandemics.
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spelling pubmed-103707192023-07-27 Hospital length of stay throughout bed pathways and factors affecting this time: A non-concurrent cohort study of Colombia COVID-19 patients and an unCoVer network project Ruiz Galvis, Lina Marcela Pérez Aguirre, Carlos Andrés Pérez Bedoya, Juan Pablo Mendoza Cardozo, Oscar Ignacio Barengo, Noël Christopher Sánchez Escudero, Juan Pablo Cardona Jiménez, Johnatan Diaz Valencia, Paula Andrea PLoS One Research Article Predictions of hospital beds occupancy depends on hospital admission rates and the length of stay (LoS) according to bed type (general ward -GW- and intensive care unit -ICU- beds). The objective of this study was to describe the LoS of COVID-19 hospital patients in Colombia during 2020–2021. Accelerated failure time models were used to estimate the LoS distribution according to each bed type and throughout each bed pathway. Acceleration factors and 95% confidence intervals were calculated to measure the effect on LoS of the outcome, sex, age, admission period during the epidemic (i.e., epidemic waves, peaks or valleys, and before/after vaccination period), and patients geographic origin. Most of the admitted COVID-19 patients occupied just a GW bed. Recovered patients spent more time in the GW and ICU beds than deceased patients. Men had longer LoS than women. In general, the LoS increased with age. Finally, the LoS varied along epidemic waves. It was lower in epidemic valleys than peaks, and decreased after vaccinations began in Colombia. Our study highlights the necessity of analyzing local data on hospital admission rates and LoS to design strategies to prioritize hospital beds resources during the current and future pandemics. Public Library of Science 2023-07-26 /pmc/articles/PMC10370719/ /pubmed/37494381 http://dx.doi.org/10.1371/journal.pone.0278429 Text en © 2023 Ruiz Galvis et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ruiz Galvis, Lina Marcela
Pérez Aguirre, Carlos Andrés
Pérez Bedoya, Juan Pablo
Mendoza Cardozo, Oscar Ignacio
Barengo, Noël Christopher
Sánchez Escudero, Juan Pablo
Cardona Jiménez, Johnatan
Diaz Valencia, Paula Andrea
Hospital length of stay throughout bed pathways and factors affecting this time: A non-concurrent cohort study of Colombia COVID-19 patients and an unCoVer network project
title Hospital length of stay throughout bed pathways and factors affecting this time: A non-concurrent cohort study of Colombia COVID-19 patients and an unCoVer network project
title_full Hospital length of stay throughout bed pathways and factors affecting this time: A non-concurrent cohort study of Colombia COVID-19 patients and an unCoVer network project
title_fullStr Hospital length of stay throughout bed pathways and factors affecting this time: A non-concurrent cohort study of Colombia COVID-19 patients and an unCoVer network project
title_full_unstemmed Hospital length of stay throughout bed pathways and factors affecting this time: A non-concurrent cohort study of Colombia COVID-19 patients and an unCoVer network project
title_short Hospital length of stay throughout bed pathways and factors affecting this time: A non-concurrent cohort study of Colombia COVID-19 patients and an unCoVer network project
title_sort hospital length of stay throughout bed pathways and factors affecting this time: a non-concurrent cohort study of colombia covid-19 patients and an uncover network project
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370719/
https://www.ncbi.nlm.nih.gov/pubmed/37494381
http://dx.doi.org/10.1371/journal.pone.0278429
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