Evidence map›Paper›PMID 42018835›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2026

Sociodemographic determinants of health care in heart failure mortality in Mexico, 019 and 2023.

Julio Cesar Campuzano, Jorge Martin Rodríguez, Pablo Enrique Chaparro, Diana Carolina Urrego, Anaid Hernández

Abstract read
In one paragraph

Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

5 authors.

Julio Cesar CampuzanoInstituto Nacional de Salud Pública de México - Cuernavaca, Morelos, Mexico.ORCID http://orcid.org/0000-0003-4408-7059
Jorge Martin RodríguezPontificia Universidad Javeriana, Instituto de Salud Pública - Bogotá D.C., Colombia.ORCID http://orcid.org/0000-0002-7301-7706
Pablo Enrique ChaparroObservatorio Nacional de Salud - Bogotá D.C., Colombia.ORCID http://orcid.org/0000-0003-2498-4721
Diana Carolina UrregoMinisterio de Salud y Protección Social - Bogotá, Colombia.ORCID http://orcid.org/0000-0002-5754-3474
Anaid HernándezUniversidad Latinoamericana - Cuernavaca, Morelos, Mexico.ORCID http://orcid.org/0009-0009-3325-1942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze sociodemographic determinants associated with medical care before death from heart failure (HF) in Mexico, comparing 2019 and 2023.

methodsA retrospective cross-sectional analytical study was conducted using national mortality records from the General Directorate of Epidemiology (DGE). HF deaths (ICD-10: I50.0-I50.9) from 2019 and 2023 were selected, representing pre- and post-pandemic (COVID-19) contexts. The variables included gender, age, education, marital status, health insurance coverage, area of residence, region, place of death, and year of occurrence. Multiple logistic regression was applied to estimate odds ratios (OR) with 95% confidence intervals (95% CI).

resultsIn the 2019-2023 period, 13,510 HF deaths were recorded (6,077 in 2019 and 7,433 in 2023). The probability of receiving medical care before death was 22% higher in 2023 compared to 2019 (OR 1.22; 95%CI 1.10-1.36). Medical care was more likely among individuals aged ≥80 years old, with higher educational levels, living in urban areas, and with health insurance coverage. Being male, lacking health coverage, and dying at home were associated with a lower probability of receiving medical care. The interaction between health insurance coverage and place of death revealed reduced access to medical care among individuals without social security who died at home.

conclusionsSubstantial gaps in access to medical care persist, associated with structural and social inequalities. The post-pandemic recovery of coverage indicates a partial strengthening of the health system. Strengthening primary health care, expanding effective universal coverage, and developing strategies targeting vulnerable groups are recommended.

Indexed as

Heart FailureAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMexicoMiddle AgedRetrospective StudiesSociodemographic FactorsSocioeconomic Disparities in HealthSocioeconomic Factors

Identifiers

PMID42018835
PMCPMC13101396

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.