Evidence map›Paper›PMID 37494381›Full record

ArticlePloS one2023

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.

Lina Marcela Ruiz Galvis, Carlos Andrés Pérez Aguirre, Juan Pablo Pérez Bedoya, Oscar Ignacio Mendoza Cardozo, Noël Christopher Barengo, Juan Pablo Sánchez Escudero, Johnatan Cardona Jiménez, Paula Andrea Diaz Valencia

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lina Marcela Ruiz GalvisGrupo de Fundamentos y Enseñanza de la Física y los Sistemas Dinámicos, Natural Science Department, Universidad de Antioquia, Medellín, Colombia.ORCID 0000-0003-1134-9112
Carlos Andrés Pérez AguirreEpidemiology Group at National College of Public Health, Universidad de Antioquia, Medellín, Colombia.ORCID 0000-0003-4937-1163
Juan Pablo Pérez BedoyaEpidemiology Group at National College of Public Health, Universidad de Antioquia, Medellín, Colombia.
Oscar Ignacio Mendoza CardozoEpidemiology Group at National College of Public Health, Universidad de Antioquia, Medellín, Colombia.
Noël Christopher BarengoHerbert Wertheim College of Medicine & Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida, United States of America.ORCID 0000-0003-0660-3091
Juan Pablo Sánchez EscuderoEpidemiology Group at National College of Public Health, Universidad de Antioquia, Medellín, Colombia.
Johnatan Cardona JiménezEscuela de Estadística, Universidad Nacional de Colombia, Medellín, Colombia.
Paula Andrea Diaz ValenciaEpidemiology Group at National College of Public Health, Universidad de Antioquia, Medellín, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19Cohort StudiesColombiaFemaleHospitalsHumansIntensive Care UnitsLength of StayMaleRetrospective Studies

Identifiers

PMID37494381
PMCPMC10370719

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.