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Socioeconomic and geographic variations in antenatal care coverage in Angola: further analysis of the 2015 demographic and health survey

BACKGROUND: In African countries, including Angola, antenatal care (ANC) coverage is suboptimal and maternal mortality is still high due to pregnancy and childbirth-related complications. There is evidence of disparities in the uptake of ANC services, however, little is known about both the socio-ec...

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Autores principales: Shibre, Gebretsadik, Zegeye, Betregiorgis, Idriss-Wheeler, Dina, Ahinkorah, Bright Opoku, Oladimeji, Olanrewaju, Yaya, Sanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429730/
https://www.ncbi.nlm.nih.gov/pubmed/32799833
http://dx.doi.org/10.1186/s12889-020-09320-1
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author Shibre, Gebretsadik
Zegeye, Betregiorgis
Idriss-Wheeler, Dina
Ahinkorah, Bright Opoku
Oladimeji, Olanrewaju
Yaya, Sanni
author_facet Shibre, Gebretsadik
Zegeye, Betregiorgis
Idriss-Wheeler, Dina
Ahinkorah, Bright Opoku
Oladimeji, Olanrewaju
Yaya, Sanni
author_sort Shibre, Gebretsadik
collection PubMed
description BACKGROUND: In African countries, including Angola, antenatal care (ANC) coverage is suboptimal and maternal mortality is still high due to pregnancy and childbirth-related complications. There is evidence of disparities in the uptake of ANC services, however, little is known about both the socio-economic and geographic-based disparity in the use of ANC services in Angola. The aim of this study was to assess the extent of socio-economic, urban-rural and subnational inequality in ANC coverage in Angola. METHODS: We analyzed data from the 2015 Angola Demographic and Health Survey (ADHS) using the World Health Organization (WHO) Health Equity Assessment Toolkit (HEAT) software. The analysis consisted of disaggregated ANC coverage rates using four equity stratifiers (economic status, education, residence, and region) and four summary measures (Difference, Population Attributable Risk, Ratio and Population Attributable Fraction). To measure statistical significance, an uncertainty interval (UI) of 95% was constructed around point estimates. RESULTS: The study showed both absolute and relative inequalities in coverage of ANC services in Angola. More specifically, inequality favored women who were rich (D = 54.2, 95% UI; 49.59, 58.70, PAF = 43.5, 95% UI; 40.12, 46.92), educated (PAR = 19.9, 95% UI; 18.14, 21.64, R = 2.14, 95% UI; 1.96, 2.32), living in regions such as Luanda (D = 51.7, 95% UI; 43.56, 59.85, R = 2.64, 95% UI; 2.01, 3.26) and residing in urban dwellings (PAF = 20, 95% UI; 17.70, 22.38, PAR = 12.3, 95% UI; 10.88, 13.75). CONCLUSION: The uptake of ANC services were lower among poor, uneducated, and rural residents as well as women from the Cuanza Sul region. Government policy makers must consider vulnerable subpopulations when designing needed interventions to improve ANC coverage in Angola to achieve the 2030 Sustainable Development Goal of reducing global maternal mortality ratio to 70 deaths per 100,000 live births.
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spelling pubmed-74297302020-08-18 Socioeconomic and geographic variations in antenatal care coverage in Angola: further analysis of the 2015 demographic and health survey Shibre, Gebretsadik Zegeye, Betregiorgis Idriss-Wheeler, Dina Ahinkorah, Bright Opoku Oladimeji, Olanrewaju Yaya, Sanni BMC Public Health Research Article BACKGROUND: In African countries, including Angola, antenatal care (ANC) coverage is suboptimal and maternal mortality is still high due to pregnancy and childbirth-related complications. There is evidence of disparities in the uptake of ANC services, however, little is known about both the socio-economic and geographic-based disparity in the use of ANC services in Angola. The aim of this study was to assess the extent of socio-economic, urban-rural and subnational inequality in ANC coverage in Angola. METHODS: We analyzed data from the 2015 Angola Demographic and Health Survey (ADHS) using the World Health Organization (WHO) Health Equity Assessment Toolkit (HEAT) software. The analysis consisted of disaggregated ANC coverage rates using four equity stratifiers (economic status, education, residence, and region) and four summary measures (Difference, Population Attributable Risk, Ratio and Population Attributable Fraction). To measure statistical significance, an uncertainty interval (UI) of 95% was constructed around point estimates. RESULTS: The study showed both absolute and relative inequalities in coverage of ANC services in Angola. More specifically, inequality favored women who were rich (D = 54.2, 95% UI; 49.59, 58.70, PAF = 43.5, 95% UI; 40.12, 46.92), educated (PAR = 19.9, 95% UI; 18.14, 21.64, R = 2.14, 95% UI; 1.96, 2.32), living in regions such as Luanda (D = 51.7, 95% UI; 43.56, 59.85, R = 2.64, 95% UI; 2.01, 3.26) and residing in urban dwellings (PAF = 20, 95% UI; 17.70, 22.38, PAR = 12.3, 95% UI; 10.88, 13.75). CONCLUSION: The uptake of ANC services were lower among poor, uneducated, and rural residents as well as women from the Cuanza Sul region. Government policy makers must consider vulnerable subpopulations when designing needed interventions to improve ANC coverage in Angola to achieve the 2030 Sustainable Development Goal of reducing global maternal mortality ratio to 70 deaths per 100,000 live births. BioMed Central 2020-08-15 /pmc/articles/PMC7429730/ /pubmed/32799833 http://dx.doi.org/10.1186/s12889-020-09320-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Shibre, Gebretsadik
Zegeye, Betregiorgis
Idriss-Wheeler, Dina
Ahinkorah, Bright Opoku
Oladimeji, Olanrewaju
Yaya, Sanni
Socioeconomic and geographic variations in antenatal care coverage in Angola: further analysis of the 2015 demographic and health survey
title Socioeconomic and geographic variations in antenatal care coverage in Angola: further analysis of the 2015 demographic and health survey
title_full Socioeconomic and geographic variations in antenatal care coverage in Angola: further analysis of the 2015 demographic and health survey
title_fullStr Socioeconomic and geographic variations in antenatal care coverage in Angola: further analysis of the 2015 demographic and health survey
title_full_unstemmed Socioeconomic and geographic variations in antenatal care coverage in Angola: further analysis of the 2015 demographic and health survey
title_short Socioeconomic and geographic variations in antenatal care coverage in Angola: further analysis of the 2015 demographic and health survey
title_sort socioeconomic and geographic variations in antenatal care coverage in angola: further analysis of the 2015 demographic and health survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429730/
https://www.ncbi.nlm.nih.gov/pubmed/32799833
http://dx.doi.org/10.1186/s12889-020-09320-1
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