Inequalities in antenatal care in Ghana, 1998–2014
Abstract Background In order to effectively and efficiently reduce maternal mortality and ensure optimal outcomes of pregnancy, equity is required in availability and provision of antenatal care. Thus, analysis of trends of socio-economic, demographic, cultural and geographical inequities is imperat...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2022-06-01
|
Series: | BMC Pregnancy and Childbirth |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12884-022-04803-y |
_version_ | 1818240847487959040 |
---|---|
author | Abdul-Aziz Seidu Joshua Okyere Eugene Budu Henry Ofori Duah Bright Opoku Ahinkorah |
author_facet | Abdul-Aziz Seidu Joshua Okyere Eugene Budu Henry Ofori Duah Bright Opoku Ahinkorah |
author_sort | Abdul-Aziz Seidu |
collection | DOAJ |
description | Abstract Background In order to effectively and efficiently reduce maternal mortality and ensure optimal outcomes of pregnancy, equity is required in availability and provision of antenatal care. Thus, analysis of trends of socio-economic, demographic, cultural and geographical inequities is imperative to provide a holistic explanation for differences in availability, quality and utilization of antenatal care. We, therefore, investigated the trends in inequalities in four or more antenatal care visits in Ghana, from 1998 to 2014. Methods We used the World Health Organization’s (WHO) Health Equity Assessment Toolkit (HEAT) software to analyse data from the 1998 to 2014 Ghana Demographic and Health Surveys. We disaggregated four or more antenatal care visits by four equality stratifiers: economic status, level of education, place of residence, and sub-national region. We measured inequality through summary measures: Difference, Population Attributable Risk (PAR), Ratio, and Population Attributable Fraction (PAF). A 95% uncertainty interval (UI) was constructed for point estimates to measure statistical significance. Results The Difference measure of 21.7% (95% UI; 15.2–28.2) and the PAF measure of 12.4% (95% UI 9.6–15.2) indicated significant absolute and relative economic-related disparities in four or more antenatal care visits favouring women in the highest wealth quintile. In the 2014 survey, the Difference measure of 13.1% (95% UI 8.2–19.1) and PAF of 6.5% (95% UI 4.2–8.7) indicate wide disparities in four or more antenatal care visits across education subgroups disfavouring non-educated women. The Difference measure of 9.3% (95% UI 5.8–12.9) and PAF of 5.8% (95% UI 4.7–6.8) suggest considerable relative and absolute urban–rural disparities in four or more antenatal care visits disfavouring rural women. The Difference measure of 20.6% (95% UI 8.8–32.2) and PAF of 7.1% (95% UI 2.9–11.4) in the 2014 survey show significant absolute and relative regional inequality in four or more antenatal care visits, with significantly higher coverage among regions like Ashanti, compared to the Northern region. Conclusions We found a disproportionately lower uptake of four or more antenatal care visits among women who were poor, uneducated and living in rural areas and the Northern region. There is a need for policymakers to design interventions that will enable disadvantaged subpopulations to benefit from four or more antenatal care visits to meet the Sustainable Development Goal 3.1 that aims to reduce the maternal mortality ratio (MMR) to less than 70/100, 000 live births by 2030. Further studies are essential to understand the underlying factors for the inequalities in antenatal care visits. |
first_indexed | 2024-12-12T13:19:57Z |
format | Article |
id | doaj.art-b0426b3521e44ea597630fcab00d536a |
institution | Directory Open Access Journal |
issn | 1471-2393 |
language | English |
last_indexed | 2024-12-12T13:19:57Z |
publishDate | 2022-06-01 |
publisher | BMC |
record_format | Article |
series | BMC Pregnancy and Childbirth |
spelling | doaj.art-b0426b3521e44ea597630fcab00d536a2022-12-22T00:23:20ZengBMCBMC Pregnancy and Childbirth1471-23932022-06-012211710.1186/s12884-022-04803-yInequalities in antenatal care in Ghana, 1998–2014Abdul-Aziz Seidu0Joshua Okyere1Eugene Budu2Henry Ofori Duah3Bright Opoku Ahinkorah4Department of Population and Health, University of Cape CoastDepartment of Population and Health, University of Cape CoastDepartment of Population and Health, University of Cape CoastResearch Department, FOCOS Orthopaedic HospitalSchool of Public Health, Faculty of Health, University of TechnologyAbstract Background In order to effectively and efficiently reduce maternal mortality and ensure optimal outcomes of pregnancy, equity is required in availability and provision of antenatal care. Thus, analysis of trends of socio-economic, demographic, cultural and geographical inequities is imperative to provide a holistic explanation for differences in availability, quality and utilization of antenatal care. We, therefore, investigated the trends in inequalities in four or more antenatal care visits in Ghana, from 1998 to 2014. Methods We used the World Health Organization’s (WHO) Health Equity Assessment Toolkit (HEAT) software to analyse data from the 1998 to 2014 Ghana Demographic and Health Surveys. We disaggregated four or more antenatal care visits by four equality stratifiers: economic status, level of education, place of residence, and sub-national region. We measured inequality through summary measures: Difference, Population Attributable Risk (PAR), Ratio, and Population Attributable Fraction (PAF). A 95% uncertainty interval (UI) was constructed for point estimates to measure statistical significance. Results The Difference measure of 21.7% (95% UI; 15.2–28.2) and the PAF measure of 12.4% (95% UI 9.6–15.2) indicated significant absolute and relative economic-related disparities in four or more antenatal care visits favouring women in the highest wealth quintile. In the 2014 survey, the Difference measure of 13.1% (95% UI 8.2–19.1) and PAF of 6.5% (95% UI 4.2–8.7) indicate wide disparities in four or more antenatal care visits across education subgroups disfavouring non-educated women. The Difference measure of 9.3% (95% UI 5.8–12.9) and PAF of 5.8% (95% UI 4.7–6.8) suggest considerable relative and absolute urban–rural disparities in four or more antenatal care visits disfavouring rural women. The Difference measure of 20.6% (95% UI 8.8–32.2) and PAF of 7.1% (95% UI 2.9–11.4) in the 2014 survey show significant absolute and relative regional inequality in four or more antenatal care visits, with significantly higher coverage among regions like Ashanti, compared to the Northern region. Conclusions We found a disproportionately lower uptake of four or more antenatal care visits among women who were poor, uneducated and living in rural areas and the Northern region. There is a need for policymakers to design interventions that will enable disadvantaged subpopulations to benefit from four or more antenatal care visits to meet the Sustainable Development Goal 3.1 that aims to reduce the maternal mortality ratio (MMR) to less than 70/100, 000 live births by 2030. Further studies are essential to understand the underlying factors for the inequalities in antenatal care visits.https://doi.org/10.1186/s12884-022-04803-yAntenatal careInequalityGhanaDemographic and Health SurveysGlobal health |
spellingShingle | Abdul-Aziz Seidu Joshua Okyere Eugene Budu Henry Ofori Duah Bright Opoku Ahinkorah Inequalities in antenatal care in Ghana, 1998–2014 BMC Pregnancy and Childbirth Antenatal care Inequality Ghana Demographic and Health Surveys Global health |
title | Inequalities in antenatal care in Ghana, 1998–2014 |
title_full | Inequalities in antenatal care in Ghana, 1998–2014 |
title_fullStr | Inequalities in antenatal care in Ghana, 1998–2014 |
title_full_unstemmed | Inequalities in antenatal care in Ghana, 1998–2014 |
title_short | Inequalities in antenatal care in Ghana, 1998–2014 |
title_sort | inequalities in antenatal care in ghana 1998 2014 |
topic | Antenatal care Inequality Ghana Demographic and Health Surveys Global health |
url | https://doi.org/10.1186/s12884-022-04803-y |
work_keys_str_mv | AT abdulazizseidu inequalitiesinantenatalcareinghana19982014 AT joshuaokyere inequalitiesinantenatalcareinghana19982014 AT eugenebudu inequalitiesinantenatalcareinghana19982014 AT henryoforiduah inequalitiesinantenatalcareinghana19982014 AT brightopokuahinkorah inequalitiesinantenatalcareinghana19982014 |