El cuidado prenatal y los determinantes sociales: estudio ecológico en Argentina
; Godoy, Ana Carolina ; Peresini, Virginia ; Peisino, María Eugenia ; Boldrini, Gisela ; Vaggione, Gaetano ; Acevedo, Gabriel Esteban Otros responsables
Fecha
06/2022
Editorial
Universidad de Costa Rica
Revista
Población y Salud en Mesoamérica
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1659-0201
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Español
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Introducción: el cuidado prenatal es un aspecto clave de salud pública, con gran impacto en la salud materna y perinatal, así como en otras etapas del ciclo vital. Sus características pueden ser variables entre y al interior de los países, y vincularse a ciertos determinantes sociales. El objetivo de este estudio fue identificar escenarios sociosanitarios del cuidado prenatal y analizar asociaciones entre determinantes sociales e indicadores sintéticos seleccionados del cuidado prenatal en Argentina (2010-2018). Metodología: se desarrolló un estudio ecológico de grupos múltiples (n = 24 jurisdicciones). Los datos se obtuvieron a partir de fuentes secundarias: última información disponible del Sistema Informático Perinatal (2018) y censo nacional (2010). Se realizó un análisis de conglomerados de tipo jerárquico y aglomerativo (método de Ward). Se ilustró la distribución espacial de los escenarios identificados y se valoraron las diferencias entre ellos mediante la prueba ANOVA. Para estimar asociaciones entre indicadores sociales e indicadores del cuidado prenatal se propusieron modelos de regresión lineal. Resultados: se identificaron cinco escenarios sociosanitarios del cuidado prenatal, que revelan heterogeneidades en la distribución de indicadores de cuidado prenatal y sociales a nivel provincial. Además, el porcentaje de hogares en situación de pobreza presentó una asociación directa, en tanto el índice de desarrollo humano y la esperanza de vida al nacer una inversa con el control prenatal insuficiente. Conclusiones: existen diferentes escenarios sociosanitarios del cuidado prenatal en Argentina y ciertas características sociales de los contextos en que residen las personas podrían subyacer a su configuración.
Introduction: the prenatal care is a key aspect in public health, with great impact in maternal and perinatal health, as well as in other stages of the life cycle. The features of the prenatal care could be variable between and within countries, and be related to social determinants. The aim of this study was to identify sociosanitary scenarios of prenatal care, and to analyze associations between social determinants and selected synthetic indicators of prenatal care in Argentina (2010-2018). Methodology: A multi-group ecological study (n=24 jurisdictions) was developed. The data were obtained from secondary sources: the latest available data of the Perinatal Informatics’ System (2018) and national census (2010). A hierarchical and agglomerative cluster analysis was carried out (Ward's method). The spatial distribution of the scenarios was illustrated by a map. ANOVA test was applied to assess the differences between the identified scenarios. To estimate associations between social indicators and indicators of prenatal care, linear regression models were applied. Results: five socio-sanitary scenarios of prenatal care were identified, which reveal heterogeneities in the distribution of prenatal and social care indicators. In addition, the percentage of households living in poverty presented a direct association, and the human development index and life expectancy at birth an inverse association with insufficient prenatal care. Conclusions: different sociosanitary scenarios exist in Argentina, and some social characteristics of the contexts in which people live might underlie its configuration.
Introduction: the prenatal care is a key aspect in public health, with great impact in maternal and perinatal health, as well as in other stages of the life cycle. The features of the prenatal care could be variable between and within countries, and be related to social determinants. The aim of this study was to identify sociosanitary scenarios of prenatal care, and to analyze associations between social determinants and selected synthetic indicators of prenatal care in Argentina (2010-2018). Methodology: A multi-group ecological study (n=24 jurisdictions) was developed. The data were obtained from secondary sources: the latest available data of the Perinatal Informatics’ System (2018) and national census (2010). A hierarchical and agglomerative cluster analysis was carried out (Ward's method). The spatial distribution of the scenarios was illustrated by a map. ANOVA test was applied to assess the differences between the identified scenarios. To estimate associations between social indicators and indicators of prenatal care, linear regression models were applied. Results: five socio-sanitary scenarios of prenatal care were identified, which reveal heterogeneities in the distribution of prenatal and social care indicators. In addition, the percentage of households living in poverty presented a direct association, and the human development index and life expectancy at birth an inverse association with insufficient prenatal care. Conclusions: different sociosanitary scenarios exist in Argentina, and some social characteristics of the contexts in which people live might underlie its configuration.
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