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Ethnic-racial inequity in health insurance in Colombia: a cross-sectional study

OBJECTIVE. Characterize the relationship between ethnic-racial inequity and type of health insurance in Colombia. METHODS. Cross-sectional study based on data from the 2019 Quality of Life Survey. We analyzed the type of health insurance (contributory, subsidized, or none) and its relationship to et...

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Autores principales: Viáfara-López, Carlos Augusto, Palacios-Quejada, Glenda, Banguera-Obregón, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Organización Panamericana de la Salud 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238259/
https://www.ncbi.nlm.nih.gov/pubmed/34220989
http://dx.doi.org/10.26633/RPSP.2021.77
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author Viáfara-López, Carlos Augusto
Palacios-Quejada, Glenda
Banguera-Obregón, Alexander
author_facet Viáfara-López, Carlos Augusto
Palacios-Quejada, Glenda
Banguera-Obregón, Alexander
author_sort Viáfara-López, Carlos Augusto
collection PubMed
description OBJECTIVE. Characterize the relationship between ethnic-racial inequity and type of health insurance in Colombia. METHODS. Cross-sectional study based on data from the 2019 Quality of Life Survey. We analyzed the type of health insurance (contributory, subsidized, or none) and its relationship to ethnic-racial status and predisposing variables (sex, age, marital status), demographic variables (area and region of residence), and socioeconomic variables (education, type of employment, income, and unmet basic needs) through simple and multivariate regression analyses. The association between ethnic-racial status and type of health insurance was estimated using odds ratios (OR) and their 95% confidence intervals, through a multinomial logistic model. RESULTS. A statistically significant association was found between ethnic-racial status and type of health insurance. In comparison with the contributory system, the probabilities of being a member of the subsidized system were 1.8 and 1.4 times greater in the indigenous population (OR x 1.891; 95%CI: 1.600-2.236) and people of African descent (OR = 1.415; 95%CI: 1.236-1.620), respectively (p <0.01) than in the population group that did not identify as belonging to one of those ethnic-racial groups. CONCLUSIONS. There is an association between ethnic-racial status and type of insurance in the contributory and subsidized health systems in Colombia. Ethnic-racial status is a structural component of inequity in access to health services and heightens the disadvantages of people and population groups with low socioeconomic status.
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spelling pubmed-82382592021-07-01 Ethnic-racial inequity in health insurance in Colombia: a cross-sectional study Viáfara-López, Carlos Augusto Palacios-Quejada, Glenda Banguera-Obregón, Alexander Rev Panam Salud Publica Original Research OBJECTIVE. Characterize the relationship between ethnic-racial inequity and type of health insurance in Colombia. METHODS. Cross-sectional study based on data from the 2019 Quality of Life Survey. We analyzed the type of health insurance (contributory, subsidized, or none) and its relationship to ethnic-racial status and predisposing variables (sex, age, marital status), demographic variables (area and region of residence), and socioeconomic variables (education, type of employment, income, and unmet basic needs) through simple and multivariate regression analyses. The association between ethnic-racial status and type of health insurance was estimated using odds ratios (OR) and their 95% confidence intervals, through a multinomial logistic model. RESULTS. A statistically significant association was found between ethnic-racial status and type of health insurance. In comparison with the contributory system, the probabilities of being a member of the subsidized system were 1.8 and 1.4 times greater in the indigenous population (OR x 1.891; 95%CI: 1.600-2.236) and people of African descent (OR = 1.415; 95%CI: 1.236-1.620), respectively (p <0.01) than in the population group that did not identify as belonging to one of those ethnic-racial groups. CONCLUSIONS. There is an association between ethnic-racial status and type of insurance in the contributory and subsidized health systems in Colombia. Ethnic-racial status is a structural component of inequity in access to health services and heightens the disadvantages of people and population groups with low socioeconomic status. Organización Panamericana de la Salud 2021-07-01 /pmc/articles/PMC8238259/ /pubmed/34220989 http://dx.doi.org/10.26633/RPSP.2021.77 Text en https://creativecommons.org/licenses/by-nc-nd/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 IGO License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited. No modifications or commercial use of this article are permitted. In any reproduction of this article there should not be any suggestion that PAHO or this article endorse any specific organization or products. The use of the PAHO logo is not permitted. This notice should be preserved along with the article’s original URL. Open access logo and text by PLoS, under the Creative Commons Attribution-Share Alike 3.0 Unported license.
spellingShingle Original Research
Viáfara-López, Carlos Augusto
Palacios-Quejada, Glenda
Banguera-Obregón, Alexander
Ethnic-racial inequity in health insurance in Colombia: a cross-sectional study
title Ethnic-racial inequity in health insurance in Colombia: a cross-sectional study
title_full Ethnic-racial inequity in health insurance in Colombia: a cross-sectional study
title_fullStr Ethnic-racial inequity in health insurance in Colombia: a cross-sectional study
title_full_unstemmed Ethnic-racial inequity in health insurance in Colombia: a cross-sectional study
title_short Ethnic-racial inequity in health insurance in Colombia: a cross-sectional study
title_sort ethnic-racial inequity in health insurance in colombia: a cross-sectional study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238259/
https://www.ncbi.nlm.nih.gov/pubmed/34220989
http://dx.doi.org/10.26633/RPSP.2021.77
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