Is socioeconomic inequality in antenatal care coverage widening or reducing between- and within-socioeconomic groups? A case of 19 countries in sub-Saharan Africa.

Maternal health statistics have improved in many countries in sub-Saharan Africa (SSA). Still, progress remains slow in meeting the Sustainable Development Goals (SDG) targets. Accelerating antenatal care (ANC) coverage is critical to improving maternal health outcomes. To progress, countries should understand whether to target reducing health disparities between- or within-socioeconomic groups, as policies for achieving these may differ. This paper develops a framework for decomposing changes in socioeconomic inequalities in health into changes in between- and within-socioeconomic groups using the concentration index, a popular measure for assessing socioeconomic inequalities in health. It begins by noting the challenge in decomposing the concentration index into only between- and within-group components due to the possibility of an overlap created by overlapping distributions of socioeconomic status between groups. Using quantiles of socioeconomic status provides a convenient way to decompose the concentration index so that the overlap component disappears. In characterising the decomposition, a pro-poor shift occurs when socioeconomic inequality is reduced over time, including between- and within-socioeconomic groups, while a pro-rich shift or change occurs conversely. The framework is applied to data from two rounds of the Demographic and Health Survey of 19 countries in SSA conducted about ten years apart in each country. It assessed changes in socioeconomic inequalities in an indicator of at least four antenatal care visits (ANC4+) and the count of ANC visits (ANC intensity). The results show that many countries in SSA witnessed significant pro-poor shifts or reductions in socioeconomic inequalities in ANC coverage because pro-rich inequalities in ANC4+ and ANC intensity become less pro-rich. Changes in between-socioeconomic group inequalities drive the changes in ANC service coverage inequalities in all countries. Thus, policies addressing inequalities between-socioeconomic groups are vital to reducing overall disparities and closing the gap between the rich and the poor, a crucial objective for the SDGs.

Explaining socioeconomic disparities and gaps in the use of antenatal care services in 36 countries in sub-Saharan Africa.

Significant maternal and child deaths occur in sub-Saharan Africa (SSA) even with existing effective interventions. Antenatal care (ANC), for example, is an intervention that improves the health of pregnant women and their babies, but only 52% of pregnant women in SSA had the recommended minimum of four ANC visits between 2011 and 2016. While significant socioeconomic inequalities in ANC visits have been reported to the disadvantage of the poor, little is known about the depth of ANC coverage and associated inequalities. This paper introduces 'deficits' (i.e. the number of ANC visits that are needed to reach the recommended minimum of four ANC visits) and 'surpluses' (i.e. the number of ANC visits over and above the recommended minimum of four ANC visits) to assess socioeconomic inequalities in the indicator and depth of the 'deficits' and 'surpluses' in ANC visits. Using the latest available Demographic and Health Survey data for 36 SSA countries and concentration indices, the paper found that 'deficits' in ANC visits are more prevalent among poorer women compared to 'surpluses' that are concentrated among the rich. On average, women with 'deficits' in ANC visits require about two more ANC visits to reach the recommended four ANC visits, and women with 'surpluses' exceeded the recommended minimum by about two ANC visits. The factors that explain a substantial share of the socioeconomic inequalities in ANC 'deficits' and 'surpluses' in SSA include wealth, education and area of residency, which are essentially the social determinants of health inequalities. For policy response, it is suggested that education is a significant channel to affect the other social determinants of inequalities in ANC coverage reported in the paper. Thus, countries must prioritize quality education as addressing education, especially among women in SSA, will significantly reduce disparities in ANC service utilization and accelerate progress towards universal health coverage.

Assessing medical impoverishment and associated factors in health care in Ethiopia.

BACKGROUND: About 5% of the global population, predominantly in low- and middle-income countries, is forced into poverty because of out-of-pocket (OOP) health spending. In most countries in sub-Saharan Africa, the share of OOP health spending in current health expenditure exceeds 35%, increasing the likelihood of impoverishment. In Ethiopia, OOP payments remained high at 37% of current health expenditure in 2016. This study assesses the impoverishment resulting from OOP health spending in Ethiopia and the associated factors. METHODS: This paper uses data from the Ethiopian Household Consumption Expenditure Survey (HCES) 2010/11. The HCES covered 10,368 rural and 17,664 urban households. OOP health spending includes spending on various outpatient and inpatient services. Impoverishing impact of OOP health spending was estimated by comparing poverty estimates before and after OOP health spending. A probit model was used to assess factors that are associated with impoverishment. RESULTS: Using the Ethiopian national poverty line of Birr 3781 per person per year (equivalent to US$2.10 per day), OOP health spending pushed about 1.19% of the population (i.e. over 957,169 individuals) into poverty. At the regional level, impoverishment ranged between 2.35% in Harari and 0.35% in Addis Ababa. Living in rural areas (highland, moderate, or lowland) increased the likelihood of impoverishment compared to residing in an urban area. Households headed by males and adults with formal education are less likely to be impoverished by OOP health spending, compared to their counterparts. CONCLUSION: In Ethiopia, OOP health spending impoverishes a significant number of the population. Although the country had piloted and initiated many reforms, e.g. the fee waiver system and community-based health insurance, a significant proportion of the population still lacks financial protection. The estimates of impoverishment from out-of-pocket payments reported in this paper do not consider individuals that are already poor before paying out-of-pocket for health services. It is important to note that this population may either face deepening poverty or forgo healthcare services if a need arises. More is therefore required to provide financial protection to achieve universal health coverage in Ethiopia, where the informal sector is relatively large.