Person:

Verguet, Stephane

Background: Out-of-pocket (OOP) medical payments can lead to catastrophic health expenditure and impoverishment. We quantified household OOP expenditure for treatment of childhood pneumonia and diarrhoea and its impact on poverty for different socioeconomic groups in Ethiopia. Methods: This study employs a mix of retrospective and prospective primary household data collection for direct medical and non-medical costs (2013 US$). Data from 345 pneumonia and 341 diarrhoea cases (0–59 months of age) were collected retrospectively through exit interviews from 35 purposively sampled health facilities in Ethiopia. Prospective 2-week follow-up interviews were conducted at the household level using a structured questionnaire. Results: The mean total medical expenditures per outpatient visit were US$8 for pneumonia and US$6 for diarrhoea, while the mean for inpatient visits was US$64 for severe pneumonia and US$79 for severe diarrhoea. The mean associated direct non-medical costs (mainly transport costs) were US$2, US$2, US$13 and US$20 respectively. 7% and 6% of the households with a case of severe pneumonia and severe diarrhoea, respectively, were pushed below the extreme poverty threshold of purchasing power parity (PPP) US$1.25 per day. Wealthier and urban households had higher OOP payments, but poorer and rural households were more likely to be impoverished due to medical payments. Conclusions: Households in Ethiopia incur considerable costs for the treatment of childhood diarrhoea and pneumonia with catastrophic consequences and impoverishment. The present circumstances call for revisiting the existing health financing strategy for high-priority services that places a substantial burden of payment on households at the point of care.

Background: Out-of-pocket (OOP) medical expenses often lead to catastrophic expenditure and impoverishment in low- and middle-income countries. Yet, there has been no systematic examination of which specific diseases and conditions (e.g., tuberculosis, cardiovascular disease) drive medical impoverishment, defined as OOP direct medical costs pushing households into poverty. Methods: We used a cost and epidemiological model to propose an assessment of the burden of medical impoverishment in Ethiopia, i.e., the number of households crossing a poverty line due to excessive OOP direct medical expenses. We utilized disease-specific mortality estimates from the Global Burden of Disease study, epidemiological and cost inputs from surveys, and secondary data from the literature to produce a count of poverty cases due to OOP direct medical costs per specific condition. Results: In Ethiopia, in 2013, and among 20 leading causes of mortality, we estimated the burden of impoverishment due to OOP direct medical costs to be of about 350,000 poverty cases. The top three causes of medical impoverishment were diarrhea, lower respiratory infections, and road injury, accounting for 75 % of all poverty cases. Conclusions: We present a preliminary attempt for the estimation of the burden of medical impoverishment by cause for high mortality conditions. In Ethiopia, medical impoverishment was notably associated with illness occurrence and health services utilization. Although currently used estimates are sensitive to health services utilization, a systematic breakdown of impoverishment due to OOP direct medical costs by cause can provide important information for the promotion of financial risk protection and equity, and subsequent design of health policies toward universal health coverage, reduction of direct OOP payments, and poverty alleviation. Electronic supplementary material The online version of this article (doi:10.1186/s12916-016-0697-0) contains supplementary material, which is available to authorized users.

Objectives: Policymakers face many decisions when considering public financing for health, including the kind of health interventions to include in a publically financed package. The consequences of these choices will influence health outcomes as well as the financial risk protection provided to different segments of the population. The purpose of this study is to illustrate the size and distribution of benefits due to treatment and prevention of diarrhoea (ie, rotavirus vaccination). Methods: We use an economic model to examine the impacts of universal public finance (UPF) of diarrhoeal treatment alone, as opposed to diarrhoeal treatment along with rotavirus vaccination in Ethiopia using extended cost-effectiveness analysis (ECEA). ECEA allows us to measure the health gains and financial risk protection provided by these interventions for each wealth quintile. Our model compares a baseline situation with diarrhoeal treatment seeking of 32% (overall) and no rotavirus vaccination, to a situation where UPF increases treatment seeking by 20 percentage points for each quintile and rotavirus vaccination reaches DTP (diphteria, pertussis, tetanus) 2 levels for each quintile (overall rate of 52%). We calculate deaths averted, private expenditures averted and costs incurred by the government under the baseline situation and with UPF. Results: We find that diarrhoeal treatment paired with rotavirus vaccination is more cost effective than diarrhoeal treatment alone for the metrics we examine in this paper (deaths and private expenditures averted). Per US$1 million invested, diarrhoeal treatment saves 44 lives and averts US$115 000 in private expenditures. For the same investment, diarrhoeal treatment and rotavirus vaccination save 61 lives and avert US$150 000 in private expenditures. The health benefits of these interventions tend to benefit the poor, while the financial benefits favour the better-off. Conclusions: Policymakers should consider multiple benefit streams as well as their scale and incidence when considering public finance of health interventions.

Background: Health systems aim to narrow inequality in access to health care across socioeconomic groups and area of residency. However, in low-income countries, studies are lacking that systematically monitor and evaluate health programs with regard to their effect on specific inequalities. We aimed to measure changes in inequality in access to maternal and child health (MCH) interventions and the effect of Primary Health Care (PHC) facilities expansion on the inequality in access to care in Ethiopia. Methods: The Demographic and Health Survey datasets from Ethiopia (2005 and 2011) were used. We calculated changes in utilization of MCH interventions and child morbidity. Concentration and horizontal inequity indices were estimated. Decomposition analysis was used to calculate the contribution of each determinant to the concentration index. Results: Between 2005 and 2011, improvements in aggregate coverage have been observed for MCH interventions in Ethiopia. Wealth-related inequality has remained persistently high in all surveys. Socioeconomic factors were the main predictors of differences in maternal and child health services utilization and child health outcome. Utilization of primary care facilities for selected maternal and child health interventions have shown marked pro-poor improvement over the period 2005–2011. Conclusions: Our findings suggest that expansion of PHC facilities in Ethiopia might have an important role in narrowing the urban-rural and rich-poor gaps in health service utilization for selected MCH interventions.

Background: The coverage of prevention and treatment strategies for ischemic heart disease and stroke is very low in Ethiopia. In view of Ethiopia’s meager healthcare budget, it is important to identify the most cost-effective interventions for further scale-up. This paper’s objective is to assess cost-effectiveness of prevention and treatment of ischemic heart disease (IHD) and stroke in an Ethiopian setting. Methods: Fifteen single interventions and sixteen intervention packages were assessed from a healthcare provider perspective. The World Health Organization’s Choosing Interventions that are Cost-Effective model for cardiovascular disease was updated with available country-specific inputs, including demography, mortality and price of traded and non-traded goods. Costs and health benefits were discounted at 3 % per year. Incremental cost-effectiveness ratios are reported in US$ per disability adjusted life year (DALY) averted. Sensitivity analysis was undertaken to assess robustness of our results. Results: Combination drug treatment for individuals having >35 % absolute risk of a CVD event in the next 10 years is the most cost-effective intervention. This intervention costs US$67 per DALY averted and about US$7 million annually. Treatment of acute myocardial infarction (AMI) (costing US$1000–US$7530 per DALY averted) and secondary prevention of IHD and stroke (costing US$1060–US$10,340 per DALY averted) become more efficient when delivered in integrated packages. At an annual willingness-to-pay (WTP) level of about US$3 million, a package consisting of aspirin, streptokinase, ACE-inhibitor and beta-blocker for AMI has the highest probability of being most cost-effective, whereas as WTP increases to > US$7 million, combination drug treatment to individuals having >35 % absolute risk stands out as the most cost-effective strategy. Cost-effectiveness ratios were relatively more sensitive to halving the effectiveness estimates as compared with doubling the price of drugs and laboratory tests. Conclusions: In Ethiopia, the escalating burden of CVD and its risk factors warrants timely action. We have demonstrated that selected CVD intervention packages could be scaled up at a modest budget increase. The level of willingness-to-pay has important implications for interventions’ probability of being cost-effective. The study provides valuable evidence for setting priorities in an essential healthcare package for CVD in Ethiopia.

Background: Pneumonia and pneumococcal disease cause a large disease burden in resource-constrained settings. We pursue an extended cost-effectiveness analysis (ECEA) of two fully publicly financed interventions in Ethiopia: pneumococcal vaccination for newborns and pneumonia treatment for under-five children in Ethiopia. Methods: We apply ECEA methods and estimate the program impact on: (1) government program costs; (2) pneumonia and pneumococcal deaths averted; (3) household expenses related to pneumonia/pneumococcal disease treatment averted; (4) prevention of household medical impoverishment measured by an imputed money-metric value of financial risk protection; and (5) distributional consequences across the wealth strata of the country population. Available epidemiological and cost data from Ethiopia are applied and the two interventions are assessed separately at various incremental coverage levels. Results: Scaling-up pneumococcal vaccines at around 40% coverage would cost about $11.5 million and avert about 2090 child deaths annually, while a 10% increase of pneumonia treatment to all children under 5 years of age would cost about $13.9 million and avert 2610 deaths annually. Health benefits of the two interventions publicly financed would be concentrated among the bottom income quintile, where 30–40% of all deaths averted would be expected to occur in the poorest quintile. In sum, the two interventions would eliminate a total of $2.4 million of private household expenditures annually, where the richest quintile benefits from around 30% of the total private expenditures averted. The financial risk protection benefits would be largely concentrated among the bottom income quintile. The results are most sensitive to variations in vaccine price, population size, number of deaths due to pneumonia, efficacy of interventions and out-of-pocket copayment share. Conclusions: Vaccine and treatment interventions for children, as shown with the illustrative examples of pneumococcal vaccine and pneumonia treatment, can bring large health and financial benefits to households in Ethiopia, most particularly among the poorest socio-economic groups.

Purpose Noncommunicable diseases, prominently cancer, have become the second leading cause of death in the adult population of Ethiopia. A population-based cancer registry has been used in Addis Ababa (the capital city) since 2011. Availability of up-to-date estimates on cancer incidence is important in guiding the national cancer control program in Ethiopia.

Methods We obtained primary data on 8,539 patients from the Addis Ababa population-based cancer registry and supplemented by data on 1,648 cancer cases collected from six Ethiopian regions. We estimated the number of the commonest forms of cancer diagnosed among males and females in Ethiopia and computed crude and age-standardized incidence rates.

Results For 2015 in Ethiopia, we estimated that 21,563 (95% CI, 17,416 to 25,660) and 42,722 (95% CI, 37,412 to 48,040) incident cancer cases were diagnosed in males and females, respectively. The most common adult cancers were: cancers of the breast and cervix, colorectal cancer, non-Hodgkin lymphoma, leukemia, and cancers of the prostate, thyroid, lung, stomach, and liver. Leukemia was the leading cancer diagnosis in the pediatric age group (age 0 to 14 years). Breast cancer was by far the commonest cancer, constituting 33% of the cancers in women and 23% of all cancers identified from the Addis Ababa cancer registry. It was also the commonest cancer in four of the six Ethiopian regions included in the analysis. Colorectal cancer and non-Hodgkin lymphoma were the commonest malignancies in men.

Conclusion Cancer, and more prominently breast cancer, poses a substantial public health threat in Ethiopia. The fight against cancer calls for expansion of population-based registry sites to improve quantifying the cancer burden in Ethiopia and requires both increased investment and application of existing cancer control knowledge across all segments of the Ethiopian population.