Poverty and inequality in access to sexual and reproductive health care for Peruvian women

Descripción del Articulo

Objective: To determine the influence of poverty on sociogeographic inequalityin the access to sexual and reproductive health of Peruvian women. Methods: Anobservational, analytical and ecological study with aggregate data corresponding toMetropolitan Lima, Constitutional Province of Callao and 24 d...

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Detalles Bibliográficos
Autores: Pacovilca-Alejo, Gelber Sebasti, Zea-Montesinos, César Cipriano, Pacovilca-Alejo, Olga Vicentina, Zagaceta-Guevara, Zaida, Reginaldo- Huamani, Rafael, Quispe-Rojas, Rodrigo, Quispe-Ilanzo, Melisa Pamela, Oyola-García, Alfredo Enrique
Formato: artículo
Fecha de Publicación:2024
Institución:Sociedad Peruana de Obstetricia y Ginecología
Repositorio:Revista Peruana de Ginecología y Obstetricia
Lenguaje:español
inglés
OAI Identifier:oai:ginecologiayobstetricia.pe:article/2595
Enlace del recurso:https://ginecologiayobstetricia.pe/index.php/RPGO/article/view/2595
Nivel de acceso:acceso abierto
Materia:Gender equity
Women’s health
Poverty
Reproductive health
Equidad de género
Salud de la mujer
Pobreza
Salud reproductiva
Descripción
Sumario:Objective: To determine the influence of poverty on sociogeographic inequalityin the access to sexual and reproductive health of Peruvian women. Methods: Anobservational, analytical and ecological study with aggregate data corresponding toMetropolitan Lima, Constitutional Province of Callao and 24 departments of Peruregistered for the year 2021 by the National Institute of Statistics and Informaticsof Peru. The analysis included correlation tests, simple linear regression and thecalculation of Kuznets indices, inequality concentration index (ICI) and slope inequalityindex (SII). Results: The proportion of women not using modern contraceptivemethods was associated with the proportion of population in monetary poverty(r=0.448; p=0.022) with an absolute inequality gap of 6.92% and relative inequalitygap of 1.16 (ICI =0.034; SII=7.875). The proportion of pregnant women withoutprenatal care by qualified health personnel and the proportion of deliveries withoutassistance from skilled health workers were associated with the proportion of thepopulation in nonmonetary poverty. The absolute and relative inequality gapswere 5.29% and 8.90 (ICI=0.526; SII=5.270) for prenatal care, and 11.33% and 11.03(ICI=0.453; SII=12,440) for delivery care. Conclusions: Non-monetary poverty wouldexplain the inequality gaps observed in the proportion of pregnant women withoutprenatal care by qualified health personnel and the proportion of deliveries withoutthe assistance of skilled health personnel in Peruvian women.
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