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Social inequalities in maternal mortality among the provinces of Ecuador
OBJECTIVE: This study set out to describe the association between the maternal mortality ratio (MMR) estimates and a set of socioeconomic indicators and compute the MMR inequalities among the provinces of Ecuador. METHOD: A cross-sectional ecological study was conducted, using data for 2014 from the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Organización Panamericana de la Salud
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660870/ https://www.ncbi.nlm.nih.gov/pubmed/28614488 http://dx.doi.org/10.26633/RPSP.2017.97 |
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author | Sanhueza, Antonio Calle Roldán, Jakeline Ríos-Quituizaca, Paulina Acuña, Maria Cecilia Espinosa, Isabel |
author_facet | Sanhueza, Antonio Calle Roldán, Jakeline Ríos-Quituizaca, Paulina Acuña, Maria Cecilia Espinosa, Isabel |
author_sort | Sanhueza, Antonio |
collection | PubMed |
description | OBJECTIVE: This study set out to describe the association between the maternal mortality ratio (MMR) estimates and a set of socioeconomic indicators and compute the MMR inequalities among the provinces of Ecuador. METHOD: A cross-sectional ecological study was conducted, using data for 2014 from the country’s 24 provinces. The MMR estimate was calculated for each province, as well as the association and its strength between MMR and specific socioeconomic indicators. For the indicators that were found to be significantly associated with MMR, inequality measurements were computed. RESULTS: Despite a relatively low MMR for Ecuador overall, ratios differed substantially among the provinces. Five socioeconomic indicators proved to be statistically significantly associated with MMR: total fertility rate, the percentage of indigenous population, the percentage of households with children who do not attend school, gross domestic product, and the percentage of houses with electrical service. Of these five, only three had MMR inequalities that were significant: total fertility rate, gross domestic product, and the percentage of households with electricity. CONCLUSIONS: This study supports research arguing that national averages can be misleading, as they often hide differences among subgroups at the local level. The findings also suggest that MMR is significantly associated with some socioeconomic indicators, including ones linked with significant health outcome inequalities. In order to reduce health inequities, it is crucial that countries look beyond national averages and identify the subgroups being left behind, explore the particular social determinants that generate these health inequalities, and examine the specific barriers and other factors affecting the subgroups most vulnerable to maternal health inequalities. |
format | Online Article Text |
id | pubmed-6660870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Organización Panamericana de la Salud |
record_format | MEDLINE/PubMed |
spelling | pubmed-66608702019-08-07 Social inequalities in maternal mortality among the provinces of Ecuador Sanhueza, Antonio Calle Roldán, Jakeline Ríos-Quituizaca, Paulina Acuña, Maria Cecilia Espinosa, Isabel Rev Panam Salud Publica Original Research OBJECTIVE: This study set out to describe the association between the maternal mortality ratio (MMR) estimates and a set of socioeconomic indicators and compute the MMR inequalities among the provinces of Ecuador. METHOD: A cross-sectional ecological study was conducted, using data for 2014 from the country’s 24 provinces. The MMR estimate was calculated for each province, as well as the association and its strength between MMR and specific socioeconomic indicators. For the indicators that were found to be significantly associated with MMR, inequality measurements were computed. RESULTS: Despite a relatively low MMR for Ecuador overall, ratios differed substantially among the provinces. Five socioeconomic indicators proved to be statistically significantly associated with MMR: total fertility rate, the percentage of indigenous population, the percentage of households with children who do not attend school, gross domestic product, and the percentage of houses with electrical service. Of these five, only three had MMR inequalities that were significant: total fertility rate, gross domestic product, and the percentage of households with electricity. CONCLUSIONS: This study supports research arguing that national averages can be misleading, as they often hide differences among subgroups at the local level. The findings also suggest that MMR is significantly associated with some socioeconomic indicators, including ones linked with significant health outcome inequalities. In order to reduce health inequities, it is crucial that countries look beyond national averages and identify the subgroups being left behind, explore the particular social determinants that generate these health inequalities, and examine the specific barriers and other factors affecting the subgroups most vulnerable to maternal health inequalities. Organización Panamericana de la Salud 2017-05-17 /pmc/articles/PMC6660870/ /pubmed/28614488 http://dx.doi.org/10.26633/RPSP.2017.97 Text en https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Research Sanhueza, Antonio Calle Roldán, Jakeline Ríos-Quituizaca, Paulina Acuña, Maria Cecilia Espinosa, Isabel Social inequalities in maternal mortality among the provinces of Ecuador |
title | Social inequalities in maternal mortality among the provinces of Ecuador |
title_full | Social inequalities in maternal mortality among the provinces of Ecuador |
title_fullStr | Social inequalities in maternal mortality among the provinces of Ecuador |
title_full_unstemmed | Social inequalities in maternal mortality among the provinces of Ecuador |
title_short | Social inequalities in maternal mortality among the provinces of Ecuador |
title_sort | social inequalities in maternal mortality among the provinces of ecuador |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660870/ https://www.ncbi.nlm.nih.gov/pubmed/28614488 http://dx.doi.org/10.26633/RPSP.2017.97 |
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