Evidence map›Paper›PMID 31860184›Full record

ArticleBiomedica : revista del Instituto Nacional de Salud2019

Inequalities in health by regime of affiliation to the health system in events of obligatory notification, Colombia, 2015

Liliana Hilarión-Gaitán, Diana Díaz-Jiménez, Karol Cotes-Cantillo, Carlos Castañeda-Orjuela

Abstract read
In one paragraph

Article in Biomedica : revista del Instituto Nacional de Salud, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Observational
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  15. Prevalence of Common Diseases in Indigenous People in Colombia.Tropical medicine and infectious disease · 2022
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  19. Ethnic-racial inequity in health insurance in Colombia: a cross-sectional study.Revista panamericana de salud publica = Pan American journal of public health · 2021
    Article
  20. Article
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

4 authors.

Liliana Hilarión-GaitánObservatorio Nacional de Salud, Instituto Nacional de Salud, Bogotá, D.C., Colombia. lhilarion@ins.gov.co.
Diana Díaz-Jiménez
Karol Cotes-Cantillo
Carlos Castañeda-Orjuela

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Inequalities in the health field are caused by the differences in the social and economic conditions, that influence the disease risk and the measures taken to treat the disease. Objective: We aimed to estimate the social inequalities in health in Colombia, according to the type of affiliation to the health system as a proxy of socioeconomic status. Materials and methods: We conducted a retrospective descriptive analysis calculating incidence rates age and sex adjusted for all mandatory reporting events using the affiliation regime (subsidized and contributory) as a socioeconomic proxy. Estimates were made at departmental level for 2015. Social inequalities were calculated in terms of absolute and relative gaps. Results: We found social inequalities in the occurrence of mandatory reporting events in population affiliated to the Colombian subsidized regime (poor population). In this population, 82.31 cases of Plasmodium falciparum malaria per 100,000 affiliates were reported more than those reported in the contributory regime. Regarding the relative gap, belonging to the subsidized regime increased by 31.74 times the risk of dying from malnutrition in children under 5 years of age. Other events such as those related to sexual and reproductive health (maternal mortality, gestational syphilis and congenital syphilis); neglected diseases and communicable diseases related to poverty (leprosy and tuberculosis), also showed profound inequalities. Conclusion: In Colombia there are inequalities by regime of affiliation to the health system. Measured socioeconomic status was a predictor of increased morbidity and premature mortality.

Indexed as

Health Status DisparitiesAge FactorsCause of DeathColombiaDisease NotificationFemaleHealthcare DisparitiesHealth Systems PlansHumansInsurance, HealthMaleMandatory ReportingMedically UninsuredNational Health ProgramsRetrospective StudiesSex FactorsColombiahealth status disparitieshealth systemspublic health surveillancesocioeconomic factors

Identifiers

PMID31860184
PMCPMC7363355

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.