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Desigualdades en salud según régimen de afiliación y eventos notificados al Sistema de Vigilancia (Sivigila) en Colombia, 2015

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 aff...

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Autores principales: Hilarión-Gaitán, Liliana, Díaz-Jiménez, Diana, Cotes-Cantillo, Karol, Castañeda-Orjuela, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto Nacional de Salud 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7363355/
https://www.ncbi.nlm.nih.gov/pubmed/31860184
http://dx.doi.org/10.7705/biomedica.4453
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author Hilarión-Gaitán, Liliana
Díaz-Jiménez, Diana
Cotes-Cantillo, Karol
Castañeda-Orjuela, Carlos
author_facet Hilarión-Gaitán, Liliana
Díaz-Jiménez, Diana
Cotes-Cantillo, Karol
Castañeda-Orjuela, Carlos
author_sort Hilarión-Gaitán, Liliana
collection PubMed
description 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.
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spelling pubmed-73633552020-07-20 Desigualdades en salud según régimen de afiliación y eventos notificados al Sistema de Vigilancia (Sivigila) en Colombia, 2015 Hilarión-Gaitán, Liliana Díaz-Jiménez, Diana Cotes-Cantillo, Karol Castañeda-Orjuela, Carlos Biomedica Artículo Original 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. Instituto Nacional de Salud 2019-12-30 /pmc/articles/PMC7363355/ /pubmed/31860184 http://dx.doi.org/10.7705/biomedica.4453 Text en https://creativecommons.org/licenses/by/4.0/ Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons
spellingShingle Artículo Original
Hilarión-Gaitán, Liliana
Díaz-Jiménez, Diana
Cotes-Cantillo, Karol
Castañeda-Orjuela, Carlos
Desigualdades en salud según régimen de afiliación y eventos notificados al Sistema de Vigilancia (Sivigila) en Colombia, 2015
title Desigualdades en salud según régimen de afiliación y eventos notificados al Sistema de Vigilancia (Sivigila) en Colombia, 2015
title_full Desigualdades en salud según régimen de afiliación y eventos notificados al Sistema de Vigilancia (Sivigila) en Colombia, 2015
title_fullStr Desigualdades en salud según régimen de afiliación y eventos notificados al Sistema de Vigilancia (Sivigila) en Colombia, 2015
title_full_unstemmed Desigualdades en salud según régimen de afiliación y eventos notificados al Sistema de Vigilancia (Sivigila) en Colombia, 2015
title_short Desigualdades en salud según régimen de afiliación y eventos notificados al Sistema de Vigilancia (Sivigila) en Colombia, 2015
title_sort desigualdades en salud según régimen de afiliación y eventos notificados al sistema de vigilancia (sivigila) en colombia, 2015
topic Artículo Original
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7363355/
https://www.ncbi.nlm.nih.gov/pubmed/31860184
http://dx.doi.org/10.7705/biomedica.4453
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