El acceso al seguro integral de salud y su relación con los factores socioeconómicos en Loreto, año 2019
Descripción del Articulo
The present investigation, entitled: "Access to comprehensive health insurance and its relationship with socioeconomic factors in Loreto 2019", aims to analyze the impact of socioeconomic factors such as income level, spending level, hours of work, belonging to the formal and informal sect...
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Formato: | tesis de grado |
Fecha de Publicación: | 2022 |
Institución: | Universidad Nacional De La Amazonía Peruana |
Repositorio: | UNAPIquitos-Institucional |
Lenguaje: | español |
OAI Identifier: | oai:repositorio.unapiquitos.edu.pe:20.500.12737/8532 |
Enlace del recurso: | https://hdl.handle.net/20.500.12737/8532 |
Nivel de acceso: | acceso abierto |
Materia: | Indicadores socioeconómicos Condiciones de vida Seguro de salud https://purl.org/pe-repo/ocde/ford#5.06.02 |
Sumario: | The present investigation, entitled: "Access to comprehensive health insurance and its relationship with socioeconomic factors in Loreto 2019", aims to analyze the impact of socioeconomic factors such as income level, spending level, hours of work, belonging to the formal and informal sector, being poor or not poor, years of education and gender of individuals in access to comprehensive health insurance in the Loreto Region. Currently, the SIS has taken the lead in obtaining certain types of insurance, going from 14.9% in 2004 to 46.3% in 2016, and reached 81% of the total number of insured in 2020. In Loreto, we have a similar situation, according to INEI data, the population with some type of medical insurance was 25.8% in 2004 and 74.5% in 2019. Therefore, the main purpose of this study is to point out which socioeconomic factors are the determinants of access to comprehensive health insurance in the Loreto region, during 2019 and the impact of each of these variables on access to the SIS. This research is of a non-experimental quantitative causal nature, using data from the National Household Survey (ENAHO) for the estimation of a binary dependent variable model of data grouping, specifically a Probit model. |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).