» Articles » PMID: 28614488

Social Inequalities in Maternal Mortality Among the Provinces of Ecuador

Overview
Specialty Public Health
Date 2017 Jun 15
PMID 28614488
Citations 14
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Methods: 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.

Citing Articles

Predicting maternal risk level using machine learning models.

Al Mashrafi S, Tafakori L, Abdollahian M BMC Pregnancy Childbirth. 2024; 24(1):820.

PMID: 39695398 PMC: 11657143. DOI: 10.1186/s12884-024-07030-9.


Maternal mortality in Northeast Brazil 2009-2019: spatial distribution, trend and associated factors.

Oliveira I, Maranhao T, Sousa G, Silva T, Rocha M, Frota M Epidemiol Serv Saude. 2023; 32(3):e2022973.

PMID: 37909520 PMC: 10615180. DOI: 10.1590/S2237-96222023000300009.EN.


Scenarios of maternal mortality reduction by 2030 in the Americas: insights from its tempo.

Sanhueza A, Mujica O, Soliz P, Cox A, de Mucio B Int J Equity Health. 2023; 22(1):121.

PMID: 37381010 PMC: 10303897. DOI: 10.1186/s12939-023-01938-y.


A systematic review of individual and ecological determinants of maternal mortality in the world based on the income level of countries.

Tajvar M, Hajizadeh A, Zalvand R BMC Public Health. 2022; 22(1):2354.

PMID: 36522731 PMC: 9753301. DOI: 10.1186/s12889-022-14686-5.


Ethnic inequalities in reproductive, maternal, newborn and child health interventions in Ecuador: A study of the 2004 and 2012 national surveys.

Rios-Quituizaca P, Gatica-Dominguez G, Nambiar D, Santos J, Barros A EClinicalMedicine. 2022; 45:101322.

PMID: 35284805 PMC: 8904232. DOI: 10.1016/j.eclinm.2022.101322.


References
1.
Mabaso Z, Erogbogbo T, Toure K . Young people's contribution to the Global strategy for women's, children's and adolescents' health (2016-2030). Bull World Health Organ. 2016; 94(5):312. PMC: 4850547. DOI: 10.2471/BLT.16.174714. View

2.
Mackenbach J, Kunst A . Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe. Soc Sci Med. 1997; 44(6):757-71. DOI: 10.1016/s0277-9536(96)00073-1. View