Health inequalities in Ethiopia: modeling inequalities in length of life within and between population groups

Distributional impact of infectious disease interventions in the Ethiopian Essential Health Service Package: a modelling study

OBJECTIVES

Reducing inequalities in health and financial risk are key goals on the path toward universal health coverage, particularly in low-income and middle-income countries. The design of the health benefit package creates an opportunity to select interventions through established criteria. The aim of this study is to examine the health equity and financial protection impact of selected interventions, along with their costs, at the national level in Ethiopia.

DESIGN

Distributional cost-effectiveness analysis.

POPULATION

The eligible population for all selected interventions is assumed to be 10 million.

DATA SOURCES

Data on disease prevalence and population size were gathered from the Global Burden of Disease database, and average health benefits and program costs are sourced from the Ethiopian Essential Health Service Package (EHSP) database, national surveys and other publicly available sources.

INTERVENTION

A total of 30 interventions were selected from the latest EHSP revision and analysed over a 1-year period.

OUTCOME MEASURES

Health benefits, social welfare indices and financial protection metrics across income quintiles were reported.

RESULTS

We found 23 interventions that improve population health and reduce health inequality and four interventions reduce both population health and health inequality. Additionally, three interventions improve population health while increasing health inequality. Overall, the EHSP interventions provide a 0.021 improvement in health-adjusted life expectancy (HALE) per person, with a positive distributional equity impact: 0.029 (26.9%) HALE gained in the poorest and 0.015 (14.0%) in the richest quintile. Similarly, a total of 1 79 475 cases of catastrophic health expenditure were averted, including 82 100 (46.0%) cases in the poorest and 17 900 (10.0%) in the richest quintile.

CONCLUSION

Increasing access to the EHSP improves health equity and financial protection. Improved access to selected EHSP interventions also has the potential to provide greater benefits to the poorest and thereby improve social welfare.

HIV test coverage among pregnant women in Ethiopia: A systematic review and meta-analysis

Introduction: A human immunodeficiency virus (HIV) test during pregnancy is the gateway to the prevention of mother-to-child transmission (PMTCT) of HIV. Estimating the national uptake of HIV tests among pregnant women is an important course of action. Thus, we pooled the information about the national uptake of HIV tests and determined the significant factors among pregnant women in Ethiopia.Methods: We searched PubMed, Scopus, Web of Science, and Google Scholar databases. We also searched for cross-references to get additional relevant studies, and included cross-sectional, case-control and cohort study studies. We applied a random-effects model meta-analysis to pool the national data of uptake of HIV tests. Galbraith's plot and Egger's regression test were employed to check publication bias, and heterogeneity was assessed using I ² statistics. The protocol registered is found in the PROSPERO database with the registration number CRD42019129166.Results: In total, 22 articles with 13 818 pregnant women study participants were involved. The national uptake of HIV tests among pregnant women was 79.6% (95% CI 73.9-85.4). Living in urban areas (AOR 2.8; 95% CI 1.1-4.6), previous HIV tests (AOR 4.6; 95% CI 1.2-8.0), and comprehensive knowledge on mother-to-child transmission (MTCT) (AOR 2.61; 95% CI 1.5-3.7) and PMTCT of HIV (AOR 2.1; 95% CI 1.5-2.8) were associated with increased practice of HIV tests.Conclusion: This review showed that HIV test coverage among pregnant women was approximately 80% and substantially lower than the national recommendation. Addressing HIV-related health services for rural women and providing health information on MTCT and PMTCT of HIV to increase HIV testing coverage is required.

Equity in public health spending in Ethiopia: a benefit incidence analysis

Inequality in access and utilization of health services because of socioeconomic status is unfair, and it should be monitored and corrected with appropriate remedial action. Therefore, this study aimed to estimate the distribution of benefits from public spending on health care across socioeconomic groups in Ethiopia using a benefit incidence analysis. We employed health service utilization data from the Living Standard Measurement Survey, recurrent government expenditure data from the Ministry of Finance and health services delivery data from the Ministry of Health's Health Management Information System. We calculated unit subsidy as the ratio of recurrent government health expenditure on a particular service type to the corresponding number of health services visits. The concentration index (CI) was applied to measure inequality in health care utilization and the distribution of the subsidy across socioeconomic groups. We conducted a disaggregated analysis comparing health delivery levels and service types. Furthermore, we used decomposition analysis to measure the percentage contribution of various factors to the overall inequalities. We found that 61% of recurrent government spending on health goes to health centres (HCs), and 74% was spent on outpatient services. Besides, we found a slightly pro-poor public spending on health, with a CI of -0.039, yet the picture was more nuanced when disaggregated by health delivery levels and service types. The subsidy at the hospital level and for inpatient services benefited the wealthier quintiles most. However, at the HC level and for outpatient services, the subsidies were slightly pro-poor. Therefore, an effort is needed in making inpatient and hospital services more equitable by improving the health service utilization of those in the lower quintiles and those in rural areas. Besides, policymakers in Ethiopia should use this evidence to monitor inequity in government spending on health, thereby improving government resources allocation to target the disadvantaged better.

New Perspective on Why Women Live Longer Than Men: An Exploration of Power, Gender, Social Determinants, and Capitals

BACKGROUND

Women live longer than men, even though many of the recognised social determinants of health are worse for women than men. No existing explanations account fully for these differences in life expectancy, although they do highlight the complexity and interaction of biological, social and health service factors.

METHODS

this paper is an exploratory explanation of gendered life expectancy difference (GLED) using a novel combination of epidemiological and sociological methods. We present the global picture of GLED. We then utilise a secondary data comparative case analysis offering explanations for GLED in Australia and Ethiopia. We combine a social determinant of health lens with Bourdieu's concepts of capitals (economic, cultural, symbolic and social).

RESULTS

we confirmed continuing GLED in all countries ranging from less than a year to over 11 years. The Australian and Ethiopian cases demonstrated the complex factors underpinning this difference, highlighting similarities and differences in socioeconomic and cultural factors and how they are gendered within and between the countries. Bourdieu's capitals enabled us to partially explain GLED and to develop a conceptual model of causal pathways.

CONCLUSION

we demonstrate the value of combing a SDH and Bourdieu's capital lens to investigate GLED. We proposed a theoretical framework to guide future research.

Reducing regional health inequality: a sub-national distributional cost-effectiveness analysis of community-based treatment of childhood pneumonia in Ethiopia

Background

Increasing the coverage of community-based treatment of childhood pneumonia (CCM) is part of the strategy to improve child survival, increase life-expectancy at birth and promote equity in Ethiopia. However, full coverage of CCM has not been reached in any regions of the country. There are no sub-national cost-effectiveness analyses available to inform decision makers on the most equitable scale up strategy.

Objectives

Our first objective is to estimate the sub-national cost-effectiveness and the interindividual inequality impacts of scaling up CCM coverages to 90% in each region. Our second objective is to explore the costs, health effects, and geographical inequality impacts associated with three scale-up scenarios promoting different policy-aims: maximizing health, reducing geographical inequalities, and achieving 90% universal coverage.

Methods

We used Markov modelling to estimate the sub-national cost-effectiveness of CCM in each region. All data were collected through literature review and adjusted to the region-specific proportions of the rural population. Health effects were modeled as life years gained and under-five deaths averted. Interindividual and geographical inequality impacts were measured by the GINI index applied to health. In scenario analysis we explored three different scale-up strategies: 1) maximizing health by prioritizing the regions where the intervention was the most cost-effective, 2) reducing geographical inequalities by prioritizing the regions with high baseline under-five mortality rate (U5MR), and 3) universal upscaling to 90% coverage in all the regions.

Results

The regional incremental-cost effectiveness ratio (ICER) of scaling up the intervention coverage varied from 26 USD per life year gained in Addis to 199 USD per life year gained in the Southern Nations, Nationalities, and Peoples’ region. Universal upscaling of CCM in all regions would cost about 1.3 billion USD and prevent about 90,000 under-five deaths. This is less than 15,000 USD per life saved and translates to an increase in life expectancy at birth of 1.6 years across Ethiopia. In scenario analysis, we found that prioritizing regions with high U5MR is effective in reducing geographical inequalities, although at the cost of fewer lives saved as compared to the health maximizing strategy.

Conclusions

Our model results illustrate a trade-off between maximizing health and reducing health inequalities, two common policy-aims in low-income settings.

Why do some countries do better or worse in life expectancy relative to income? An analysis of Brazil, Ethiopia, and the United States of America

BACKGROUND

While in general a country's life expectancy increases with national income, some countries "punch above their weight", while some "punch below their weight" - achieving higher or lower life expectancy than would be predicted by their per capita income. Discovering which conditions or policies contribute to this outcome is critical to improving population health globally.

METHODS

We conducted a mixed-method study which included: analysis of life expectancy relative to income for all countries; an expert opinion study; and scoping reviews of literature and data to examine factors that may impact on life expectancy relative to income in three countries: Ethiopia, Brazil, and the United States. Punching above or below weight status was calculated using life expectancy at birth and gross domestic product per capita for 2014-2018. The scoping reviews covered the political context and history, social determinants of health, civil society, and political participation in each country.

RESULTS

Possible drivers identified for Ethiopia's extra 3 years life expectancy included community-based health strategies, improving access to safe water, female education and gender empowerment, and the rise of civil society organisations. Brazil punched above its weight by 2 years. Possible drivers identified included socio-political and economic improvements, reduced inequality, female education, health care coverage, civil society, and political participation. The United States' neoliberal economics and limited social security, market-based healthcare, limited public health regulation, weak social safety net, significant increases in income inequality and lower levels of political participation may have contributed to the country punching 2.9 years below weight.

CONCLUSIONS

The review highlighted potential structural determinants driving differential performance in population health outcomes cross-nationally. These included greater equity, a more inclusive welfare system, high political participation, strong civil society and access to employment, housing, safe water, a clean environment, and education. We recommend research comparing more countries, and also to examine the processes driving within-country inequities.

Seasonal Variation of Household Food Insecurity and Household Dietary Diversity on Wasting and Stunting among Young Children in A Drought Prone Area in South Ethiopia: A Cohort Study

This study was conducted to evaluate seasonal patterns of household food insecurity, dietary diversity, and household characteristics on wasting and stunting among children in households followed for 1 year in the drought-prone areas of Sidama, Ethiopia. A cohort study design was employed. Data were collected on the pre-harvest season (March and June) and post-harvest season (September and December) of 2017. We studied 935 children aged 6 to 47 months. At four seasons over a year, we had 3,449 observations from 897 households and 82% (2,816) (95% CI: 80.3-82.9) were food in-secured households. Severe food insecurity was higher in the pre-harvest (March; food scarcity season) which was 69% as compared to 50% of September (P < .001). From 3,488 observations, 44% (1,533) (95% CI: 42.3-45.6) of children were stunted. Stunting showed seasonal variations with 38% (95% CI: 34.7-41.0) in March and 49% (95% CI: 45.8-52.5) in December. Six percent (95% CI: 5.0-6.6) of children were wasted, with higher prevalence in March (8%) as compared to 3% of September (P < .001). Moreover, household characteristics such as poverty level, education, occupation and the household food insecurity and dietary diversity were associated with subsequent wasting and stunting.

Understanding inequalities in child health in Ethiopia: health achievements are improving in the period 2000-2011

Objective

In Ethiopia, coverage of key health services is low, and community based services have been implemented to improve access to key services. This study aims to describe and assess the level and the distribution of health outcomes and coverage for key services in Ethiopia, and their association with socioeconomic and geographic determinants.

Methods

Data were obtained from the 2000, 2005 and 2011 Ethiopian Demographic and Health Surveys. As indicators of access to health care, the following variables were included: Under-five and neonatal deaths, skilled birth attendance, coverage of vaccinations, oral rehydration therapy for diarrhoea, and antibiotics for suspected pneumonia. For each of the indicators in 2011, inequality was described by estimating their concentration index and a geographic Gini index. For further assessment of the inequalities, the concentration indices were decomposed. An index of health achievement, integrating mean coverage and the distribution of coverage, was estimated. Changes from 2000 to 2011 in coverage, inequality and health achievement were assessed.

Results

Significant pro-rich inequalities were found for all indicators except treatment for suspected pneumonia in 2011. The geographic Gini index showed significant regional inequality for most indicators. The decomposition of the 2011 concentration indices revealed that the factor contributing the most to the observed inequalities was different levels of wealth. The mean of all indicators improved from 2000 to 2011, and the health achievement index improved for most indicators. The socioeconomic inequalities seem to increase from 2000 to 2011 for under-five and neonatal deaths, whereas they are stable or decreasing for the other indicators.

Conclusion

There is an unequal socioeconomic and geographic distribution of health and access to key services in Ethiopia. Although the health achievement indices improved for most indicators from 2000 to 2011, socioeconomic determinants need to be addressed in order to achieve better and more fairly distributed health.

A grand convergence in mortality is possible: comment on Global Health 2035

The grand challenge in global health is the inequality in mortality and life expectancy between countries and within countries. According to Global Health 2035, the Lancet Commission celebrating the 20(th) anniversary of the World Development Report (WDR) of 1993, the world now has the unique opportunity to achieve a grand convergence in global mortality within a generation. This article comments on the main findings and recommendations of the Global Health 2035.