Evidence map›Paper›PMID 37151581›Full record

ArticleFrontiers in public health2023

Socioeconomic disparities associated with mortality in patients hospitalized for COVID-19 in Colombia.

Oscar Ignacio Mendoza Cardozo, Juan Pablo Pérez Bedoya, Lina Marcela Ruiz Galvis, Carlos Andrés Pérez Aguirre, Boris Anghelo Rodríguez Rey, Noël Christopher Barengo, Johnatan Cardona Jiménez, Paula Andrea Díaz Valencia

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Oscar Ignacio Mendoza CardozoNational Faculty of Public Health, Epidemiology Group, University of Antioquia, Medellín, Colombia.
Juan Pablo Pérez BedoyaNational Faculty of Public Health, Epidemiology Group, University of Antioquia, Medellín, Colombia.
Lina Marcela Ruiz GalvisNational Faculty of Public Health, Epidemiology Group, University of Antioquia, Medellín, Colombia.
Carlos Andrés Pérez AguirreNational Faculty of Public Health, Epidemiology Group, University of Antioquia, Medellín, Colombia.
Boris Anghelo Rodríguez ReyInstitute of Physics, University of Antioquia, Medellin, Colombia.
Noël Christopher BarengoHerbert Wertheim College of Medicine and Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, United States.
Johnatan Cardona JiménezEscuela de Estadística, Universidad Nacional de Colombia, Sede Medellín, Colombia.
Paula Andrea Díaz ValenciaNational Faculty of Public Health, Epidemiology Group, University of Antioquia, Medellín, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Socioeconomic disparities play an important role in the development of severe clinical outcomes including deaths from COVID-19. However, the current scientific evidence in regard the association between measures of poverty and COVID-19 mortality in hospitalized patients is scant. The objective of this study was to investigate whether there is an association between the Colombian Multidimensional Poverty Index (CMPI) and mortality from COVID-19 in hospitalized patients in Colombia from May 1, 2020 to August 15, 2021. This was an ecological study using individual data on hospitalized patients from the National Institute of Health of Colombia (INS), and municipal level data from the High-Cost Account and the National Administrative Department of Statistics. The main outcome variable was mortality due to COVID-19. The main exposure variable was the CMPI that ranges from 0 to 100% and was categorized into five levels: (i) level I (0%-20%), (ii) level II (20%-40%), (iii) level III (40%-60%), (iv) level IV (60%-80%); and (v) level V (80%-100%). The higher the level, the higher the level of multidimensional poverty. A Bayesian multilevel logistic regression model was applied to estimate Odds Ratio (OR) and their corresponding 95% credible intervals (CI). In addition, a subgroup analysis was performed according to the epidemiological COVID-19 waves using the same model. The odds for dying from COVID-19 was 1.46 (95% CI 1.4-1.53) for level II, 1.41 (95% CI 1.33-1.49) for level III and 1.70 (95% CI 1.54-1.89) for level IV hospitalized COVID-19 patients compared with the least poor patients (CMPI level I). In addition, age and male sex also increased mortality in COVID-19 hospitalized patients. Patients between 26 and 50 years-of-age had 4.17-fold increased odds (95% CI 4.07-4.3) of death compared with younger than 26-years-old patients. The corresponding for 51-75 years-old patients and those above the age of 75 years were 9.17 (95% CI 8.93-9.41) and 17.1 (95% CI 16.63-17.56), respectively. Finally, the odds of death from COVID-19 in hospitalized patients gradually decreased as the pandemic evolved. In conclusion, socioeconomic disparities were a major risk factor for mortality in patients hospitalized for COVID-19 in Colombia.

Indexed as

COVID-19AdultAgedBayes TheoremColombiaHumansMaleMiddle AgedRisk FactorsSocioeconomic Disparities in HealthCOVID-19health disparitieshospitalizationin-hospital mortalitypovertysocioeconomic factors

Identifiers

PMID37151581
PMCPMC10157783

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