TY - JOUR
T1 - Hospital length of stay throughout bed pathways and factors affecting this time
T2 - A non-concurrent cohort study of Colombia COVID-19 patients and an unCoVer network project
AU - Ruiz Galvis, Lina Marcela
AU - Pérez Aguirre, Carlos Andrés
AU - Pérez Bedoya, Juan Pablo
AU - Mendoza Cardozo, Oscar Ignacio
AU - Barengo, Noël Christopher
AU - Sánchez Escudero, Juan Pablo
AU - Cardona Jiménez, Johnatan
AU - Diaz Valencia, Paula Andrea
N1 - Publisher Copyright:
Copyright: © 2023 Ruiz Galvis et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2023/7/26
Y1 - 2023/7/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85165929329&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0278429
DO - 10.1371/journal.pone.0278429
M3 - Article
C2 - 37494381
AN - SCOPUS:85165929329
SN - 1932-6203
VL - 18
SP - 1
EP - 12
JO - PloS one
JF - PloS one
IS - 7
M1 - e0278429
ER -