Decomposing socio-economic inequalities in antenatal care utilisation in 12 Southern African Development Community countries

Assessment of SADC Countries' National Adaptation Planning Health Impacts Inclusion: A Thorough Review

Background: The impacts of climate change are recognised as a key challenge of the 21st century. By 2030, Sub-Saharan Africa is projected to have the globally highest burden of disease due to climate change. Objectives: This study aims to evaluate the strengths and weaknesses of the National Adaptation Plans (NAPs) of the Southern African Development Community (SADC), a sub-region under-represented at a global level, in addressing current and future climate change-related health impacts. It specifically assesses the NAPs of Botswana, Mozambique, Namibia, South Africa, and Zimbabwe. Methods: A thorough review was conducted, analysing articles, government reports, and national communications related to NAPs and climate change health outcomes in the selected countries. Sources were evaluated against pre-defined inclusion and exclusion criteria. Main findings: All five countries prioritised health in their NAPs; however, health departments were excluded from assessments in two of the countries. Although health surveillance and early warning systems were included in the NAPs, there was limited evidence of their integration into broader climate, health, economic, and labour policies. National climate change focal points were identified, but governance and implementation at district and local levels were not well-documented. This review highlighted a need for greater inclusion of Indigenous and locally led knowledge. Common barriers identified included the lack of data with appropriate frequency and scale. Governance and implementation difficulties were also identified in all five countries; these difficulties included both a lack of coordination and a lack of institutional capacity. These challenges, especially a lack of political will to address the compound impacts of altered climate and health on all earth systems, are also found at the regional level. Conclusions: National strategies and implementation programs in SADC countries need to be agile in their ability to scale and adapt, yet they also need to include measurable actions and timeframes. Given the shared climate and health trends and the interconnected socio-economic, environmental, and political landscape, there is significant potential for regional coordination to address cross-border climate change impacts and to optimise resource use.

Understanding Socioeconomic Inequalities in Zero-Dose Children for Vaccination in Underserved Settings of Ethiopia: Decomposition Analysis Approach

Despite considerable global efforts to enhance vaccine distribution in low-income countries, a significant number of children remain unvaccinated, particularly in Ethiopia. The underlying socioeconomic challenges in these regions are recognized as primary contributors to the low vaccination rates. However, the reasons for this persistent disparity in Ethiopia's remote and underserved regions need further analysis. The study employed a cross-sectional design and was conducted as part of the Project HOPE Zero-Dose Evaluation from 1 February to 31 July 2022. Concentration indices were utilized to quantify the extent of inequality, with further decomposition aimed at identifying contributing factors to this disparity. The findings underscored that populations with lower socioeconomic status encounter high numbers of children receiving no vaccinations. Key factors influencing the number of zero-dose children included distance from healthcare facilities (61.03%), economic status of the household (38.93%), absence of skilled birth assistance (20.36%), underutilization of antenatal care services ( Collapse

Key Words

• Ethiopia
• concentration index
• decomposition analysis
• immunization
• zero-dose

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MESH Headings

• Ethiopia
• Humans
• Cross-Sectional Studies
• Socioeconomic Factors
• Vaccination/statistics & numerical data
• Female
• Infant
• Child, Preschool
• Male
• Healthcare Disparities/statistics & numerical data

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Grants

• NV 018567 Bill & Melinda Gates Foundation

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Affiliation(s)

Gashaw Andargie Biks Project HOPE, Ethiopia Country Office, Addis Ababa P.O. Box 45, Ethiopia; (F.S.); (D.A.T.)
Fisseha Shiferie Project HOPE, Ethiopia Country Office, Addis Ababa P.O. Box 45, Ethiopia; (F.S.); (D.A.T.)
Dawit Abraham Tsegaye Project HOPE, Ethiopia Country Office, Addis Ababa P.O. Box 45, Ethiopia; (F.S.); (D.A.T.)
Wondwossen Asefa Project HOPE Headquarter, 1220 19th St NW #800, Washington, DC 20036, USA;
Frank DelPizzo Bill & Melinda Gates Foundation, 500 5th Ave N, Seattle, WA 98109, USA;
Samson Gebremedhin School of Public Health, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia;

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Measuring socioeconomic inequalities in postnatal health checks for newborns in Ethiopia: a decomposition analysis

Background

Addressing health inequity is a top priority for achieving sustainable development goals. The existing evidences in Ethiopia have shown that there are substantial inequalities in the use of health services among various socioeconomic strata. Therefore, the present study aimed to measure socioeconomic inequalities and the contributing factors in postnatal health checks for newborns in Ethiopia.

Methods

We used a secondary data from the recent 2019 Ethiopia Mini Demographic and Health Survey dataset. The study includes a weighted sample of 2,105 women who gave birth in the 2 years preceding to the survey. The study participants were selected using two stage cluster sampling techniques. The socioeconomic inequality in postnatal health checks for newborns was measured using the Erreygers Normalized Concentration Index (ECI) and illustrated by the concentration curve. A decomposition analysis was done to identify factors contributing to the socioeconomic related inequality in postnatal health checks for newborns in Ethiopia.

Results

The concentration curve of postnatal health checks for newborns lay below the line of equality, and the Erreygers normalized concentration index was 0.133, with a standard error = 0.0333, and a p value <0.001; indicating that the postnatal health check for newborns was disproportionately concentrated among newborns with higher socioeconomic status. The decomposition analysis reported that antenatal care (ANC) visit (59.22%), household wealth index (34.43%), and educational level of the mother (8.58%) were the major contributors to the pro-rich socioeconomic inequalities in postnatal health checks for newborns.

Conclusion

The finding revealed that there is a pro-rich inequality in postnatal health checks for newborns in Ethiopia. To reduce the observed socioeconomic health inequality, the government needs to improve ANC visits, implement strategies to access health service for economically disadvantaged groups, and increase educational attainment among women.

Demographic and economic inequality of antenatal care coverage in 4 African countries with a high maternal mortality rate

BACKGROUND

Maternal deaths are concentrated in low and middle-income countries, and Africa accounts for over 50% of the deaths. Women from socioeconomically disadvantaged households have higher morbidity and mortality rates and lower access to maternal health services. Understanding and addressing these inequalities is crucial for achieving the Sustainable Development Goals and improving maternal health outcomes. This study examines the demographic and economic disparities in the utilization of antenatal care (ANC) in four countries with high maternal mortality rates in Africa, namely Nigeria, Chad, Liberia, and Sierra Leone.

METHOD

The study utilised data from Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) from Nigeria, Chad, Liberia, and Sierra Leone. The data was obtained from the Health Equity Assessment Toolkit (HEAT) database. The study examined ANC service utilisation inequality in four dimensions such as economic status, education, place of residence, and subnational region across different subgroups by using four summary measures (Difference (D), Absolute Concentration Index (ACI), Population Attributable Risk (PAR), and Population Attributable Factor (PAF)).

RESULT

A varying level of inequality in ANC coverage across multiple survey years was observed in Nigeria, Chad, Liberia, and Sierra Leone. Different regions and countries exhibit varying levels of inequality. Disparities were prominent based on educational attainment and place of residence. Higher level of inequality was generally observed among individuals with higher education and those residing in urban areas. Inequality in ANC coverage was also observed by economic status, subnational region, and other factors in Nigeria, Chad, Liberia, and Sierra Leone. ANC coverage is generally higher among the richest quintile subgroup, indicating inequality. Nigeria and Chad show the highest levels of inequality in ANC coverage across multiple measures. Sierra Leone displays some variation with higher coverage among the poorest quintile subgroup.

CONCLUSION AND RECOMMENDATION

Inequalities in ANC coverage exist across age groups and survey years in Nigeria, Chad, Liberia, and Sierra Leone. Disparities are prominent based on education, residence, and economic status. Efforts should focus on improving access for vulnerable groups, enhancing education and awareness, strengthening healthcare infrastructure, and addressing economic disparities.

Factors influencing pregnancy care and institutional delivery in rural Mali: a secondary baseline analysis of a cluster-randomised trial

OBJECTIVE

The vast majority of the 300 000 pregnancy-related deaths every year occur in South Asia and sub-Saharan Africa. Increased access to quality antepartum and intrapartum care can reduce pregnancy-related morbidity and mortality worldwide. We used a population-based cross-sectional cohort design to: (1) examine the sociodemographic risk factors and structural barriers associated with pregnancy care-seeking and institutional delivery, and (2) investigate the influence of residential distance to the nearest primary health facility in a rural population in Mali.

METHODS

A baseline household survey of Malian women aged 15-49 years was conducted between December 2016 and January 2017, and those who delivereda baby in the 5 years preceding the survey were included. This study leverages the baseline survey data from a cluster-randomised controlled trial to conduct a secondary analysis. The outcomes were percentage of women who received any antenatal care (ANC) and institutional delivery; total number of ANC visits; four or more ANC visits; first ANC visit in the first trimester.

RESULTS

Of the 8575 women in the study, two-thirds received any ANC in their last pregnancy, one in 10 had four or more ANC visits and among those that received any ANC, about one-quarter received it in the first trimester. For every kilometre increase in distance to the nearest facility, the likelihood of the outcomes reduced by 5 percentage points (0.95; 95% CI 0.91 to 0.98) for any ANC; 4 percentage points (0.96; 95% CI 0.94 to 0.98) for an additional ANC visit; 10 percentage points (0.90; 95% CI 0.86 to 0.95) for four or more ANC visits; 6 percentage points (0.94; 95% CI 0.94 to 0.98) for first ANC in the first trimester. In addition, there was a 35 percentage points (0.65; 95% CI 0.56 to 0.76) decrease in likelihood of institutional delivery if the residence was within 6.5 km to the nearest facility, beyond which there was no association with the place of delivery. We also found evidence of increase in likelihood of receiving any ANC care and its intensity increased with having some education or owning a business.

CONCLUSION

The findings suggest that education, occupation and distance are important determinants of pregnancy and delivery care in a rural Malian context.

TRIAL REGISTRATION NUMBER

NCT02694055.

Utilization of Antenatal Care and Skilled Birth Delivery Services in Sub-Saharan Africa: A Systematic Scoping Review

Daily, the number of women who die around the world reaches an average of 800; these deaths are a result of obstetric complications in pregnancy and childbirth, and 99% of these deaths occur in low- and middle-income countries. This review probes the use of antenatal care (ANC) and skilled birth delivery (SBD) services in sub-Saharan Africa (SSA) and highlights research gaps using Arksey and O'Malley's methodological approach. The screening of abstracts and full text was carried out by two independent authors who ensured the eligibility of data extraction from the included articles. An exploration of the data was undertaken with descriptive analyses. In total, 350 potentially eligible articles were screened, and 137 studies were included for data extraction and analysis. From the 137 included studies, the majority were from Ethiopia (n = 40, 29.2%), followed by Nigeria (n = 30, 21.9%). Most of the studies were published between 2019 and 2023 (n = 84, 61%). Significant trends and challenges with ANC and SBD services emerged from the studies. It is revealed that there are wide gaps in the utilization of ANC and SBD services. Policy attention, intervention strategies to improve access, resources, rural-urban disparity, and women's literacy are recommended to improve the utilization of ANC and SBD services in SSA countries.

Socioeconomic inequality in timing of ANC visit among pregnant women in Ethiopia, 2019

Background

Antenatal care (ANC) remains an invaluable approach to preventive care for ensuring maternal and infant health outcomes. Women in sub-Saharan Africa tend to delay their first antenatal care visits. In Ethiopia, only 20% of women received their first antenatal care during the first trimester of pregnancy. Timely and appropriate antenatal care practices can potentially save the lives of both mothers and children. Understanding socioeconomic inequality in the timing of antenatal care visits and its determinants may contribute to tackling disparities and achieving the sustainable development goals for maternal health.

Objective

This study aimed to assess the socioeconomic inequality in the timing of antenatal care visit.

Method

Secondary data sourced from the Mini Ethiopian Demographic Health Survey 2019 were used for this study. A total of 2,906 pregnant women were included in the study, and concentration curves were used to show inequality among sociodemographic and economic variables. Decomposition analysis was performed to estimate the contribution of each independent variable to the inequality in the timing of antenatal care visits.

Result

The estimate of early initiation of antenatal care was 63%. The concentration index was 0.18 (P < 0.001). The inequality in the timing of antenatal care visit was more concentrated among the wealthiest pregnant women with a concentration index value of 0.18 (P < 0.001). Based on decomposition analysis results, the wealth index (81.9%.), education status (22.29%), and region (0.0642%) were identified as contributing factors to the inequality in the timing of antenatal care visits among women.

Conclusion

The wealth index, educational status, and region were significant contributors to inequality in the early initiation of antenatal care visit. Improving women's wealth and education and narrowing the inequality gap are crucial for improving the health status of women and their children. We should focus on interventions targeted at early antenatal care visit to address the determinants of socioeconomic inequities.

Antenatal care services in Benin and Tanzania 2021/2022: an equity analysis study

Introduction

Antenatal care (ANC) interventions improve maternal and neonatal outcomes. However, access to ANC may be inequitable due to sociocultural, monetary and time factors. Examining drivers of ANC disparities may identify those amenable to policy change.

Methods

We conducted an ANC services equity analysis in selected public facilities in Geita, Tanzania, where most services are free to the end-user, and Atlantique, Benin, where every visit incurs user fees. Data on total ANC contacts, quality of care (QoC) indicators and wait times were collected from representative household surveys in the catchment of 40 clinics per country and were analysed by education and wealth. We used indices of inequality, concentration indices and Oaxaca-Blinder decompositions to determine the distribution, direction and magnitude of inequalities and their contributing factors. We assessed out-of-pocket expenses and the benefit incidence of government funding.

Results

ANC clients in both countries received less than the recommended minimum ANC contacts: 3.41 (95% CI 3.36 to 3.41) in Atlantique and 3.33 (95% CI 3.27 to 3.39) in Geita. Wealthier individuals had more ANC contacts than poorer ones at every education level in both countries; the wealthiest and most educated had two visits more than the poorest, least educated. In Atlantique, ANC attendees receive similar QoC regardless of socioeconomic status. In Geita, there are wide disparities in QoC received by education or wealth. In Atlantique, out-of-pocket expenses for the lowest wealth quintile are 2.7% of annual income compared with 0.8% for the highest, with user fees being the primary expense. In Geita, the values are 3.1% and 0.5%, respectively; transportation is the main expense.

Conclusions

Inequalities in total ANC visits favouring wealthier, more educated individuals were apparent in both countries. In Atlantique, reduction of user-fees could improve ANC access. In Geita, training and equipping healthcare staff could improve QoC. Community health services could mitigate access barriers.

A cost-effectiveness analysis of a South African pregnancy support grant

Poverty among expectant mothers often results in sub-optimal maternal nutrition and inadequate antenatal care, with negative consequences on child health outcomes. South Africa has a child support grant that is available from birth to those in need. This study aims to determine whether a pregnancy support grant, administered through the extension of the child support grant, would be cost-effective compared to the existing child support grant alone. A cost-utility analysis was performed using a decision-tree model to predict the incremental costs (ZAR) and disability-adjusted life years (DALYs) averted by the pregnancy support grant over a 2-year time horizon. An ingredients-based approach to costing was completed from a governmental perspective. The primary outcome was the incremental cost-effectiveness ratio (ICER). Deterministic and probabilistic sensitivity analyses were performed. The intervention resulted in a cost saving of R13.8 billion ($930 million, 95% CI: ZAR3.91 billion - ZAR23.2 billion/ $1.57 billion - $264 million) and averted 59,000 DALYs (95% CI: -6,400-110,000), indicating that the intervention is highly cost-effective. The primary cost driver was low birthweight requiring neonatal intensive care, with a disaggregated incremental cost of R31,800 ($2,149) per pregnancy. Mortality contributed most significantly to the DALYs accrued in the comparator (0.68 DALYs). The intervention remained the dominant strategy in the sensitivity analyses. The pregnancy support grant is a highly cost-effective solution for supporting expecting mothers and ensuring healthy pregnancies. With its positive impact on child health outcomes, there is a clear imperative for government to implement this grant. By investing in this program, cost savings could be leveraged. The implementation of this grant should be given high priority in public health and social policies.

The effect of health insurance coverage on antenatal care utilizations in Ethiopia: evidence from national survey

Background

About three-fourths of maternal near-miss events and two-fifths of the risk of neonatal mortality can be reduced by having at least one antenatal visit. Several studies have identified potential factors related to maternal health seeking behavior. However, the association between health insurance membership and antenatal care utilization was not well investigated in Ethiopia. Therefore, this study was aimed at assessing the effect of health insurance coverage on antenatal care use in Ethiopia.

Methods

The study utilized data from the 2019 Ethiopia Mini Demographic and Health Survey (EMDHS). The analysis included a weighted sample of 3,919 women who gave birth in the last five years. A logistic regression model was employed to assess the association between antenatal care use and health insurance coverage and other covariates. The results were presented as adjusted odds ratios (AOR) at a 95% confidence interval (CI). Statistical significance was declared at a p-value <0.05 in all analyses.

Results

Antenatal care was used by 43% (95% CI: 41.46 to 44.56%) of Ethiopian women. Those with health insurance coverage had higher odds of antenatal care use than those without health insurance coverage. Women were 33% more likely to use antenatal care (ANC) if they were covered by health insurance. Age, Media access, marital status, education status, wealth index, and economic regions were also factors associated with antenatal care utilizations.

Conclusions

According to our findings, less than half of Ethiopian women had four or more antenatal care visits. Health insurance membership, respondent age, media access, marital status, education status, wealth index, and economic region were factors associated with antenatal care utilization. Improving health insurance, women's economic empowerment, and education coverage are critical determinants of antenatal care utilization.

Spatial distribution of delayed initiation of antenatal care visits and associated factors among reproductive age women in Ethiopia: spatial and multilevel analysis of 2019 mini-demographic and health survey

OBJECTIVES

This study aimed to assess the spatial distribution, wealth-related inequality and determinants for delayed initiation of antenatal care (ANC) visits among reproductive-age women in Ethiopia.

DESIGN

Cross-sectional study design.

SETTING

Ethiopia.

PARTICIPANTS

A total of 2924 reproductive-age women who had given birth in the 5 years preceding the survey.

OUTCOME MEASURE

Delayed initiation of ANC visits.

RESULTS

The magnitude of delayed initiation of ANC visits among reproductive-age women in Ethiopia was 62.63% (95% CI 60.86%, 64.37%). Women aged 35-49 (AOR=1.42; 95% CI 1.04, 1.94), being protestant religion followers (AOR=1.43; 95% CI 1.06, 1.94), being in higher wealth index (AOR=0.53; 95% CI 0.41, 0.69), living in rural residence (AOR=1.50; 95% CI 1.02, 2.19) and living in the metropolitan region (AOR=0.45; 95% CI 0.26, 0.77) were significantly associated with delayed initiation of ANC visit. Southern Nations Nationalities and Peoples Region (SNNPR), Somalia, Benishangul Gumuz, Southern Addis Ababa and Gambella regions were hot spot regions for delayed initiation of ANC visits. The SaTScan analysis result identified 107 primary clusters of delayed initiation of ANC visits located in regions of SNNPR, Gambella, Southern Addis Ababa, Eastern Oromia and Benishangul Gumuz.

CONCLUSIONS

Significant spatial clustering of delayed initiation of ANC visits was observed in Ethiopia. More than half of women had delayed initiation of ANC visits in Ethiopia. Women's age, religion, wealth index, residence and region were significant predictors of delayed initiation of ANC visits. There is a disproportional pro-poor distribution of delayed initiation of ANC visits in Ethiopia. Therefore, interventions should be designed in the hot spot areas where delayed initiation of ANC visits was high to enhance the timely initiation of ANC visits.