Estimating Catastrophic Health Expenditures from Household Surveys: Evidence from Living Standard Measurement Surveys (LSMS)-Integrated Surveys on Agriculture (ISA) from Sub-Saharan Africa.

BACKGROUND: Out of pocket (OOP) payments for healthcare remain a significant health financing challenge in sub-Saharan Africa (SSA). Understanding the drivers and impacts of this financial health burden is both an economic and a public health priority. OBJECTIVE: This study examines how the burden of OOP health expenditures varies with different thresholds for financial catastrophe. METHODS: The analysis is based on Livings Standards Measurement Surveys (LSMS)-Integrated Surveys on Agriculture (ISA) for five SSA countries-Ethiopia, Malawi, Nigeria, Tanzania, and Uganda. We estimate the degree by which OOP payments as share of total household non-food expenditures exceed either the 15 or 25% threshold. RESULTS: For the countries considered, the severity of OOP payments is substantial-the average positive overshoot (beyond the 25% threshold) is above 10%, except for Nigeria. This reflects a higher percentage of OOP in total household health expenditures-compared to taxes and contributions-especially among the poor in these specific countries. Regarding sensitivity of distribution of catastrophic health expenditures, we find that households with low non-food expenditures are more likely to incur catastrophic payments with the exception for Uganda where catastrophic payments increase with the increase of non-food household expenditures. CONCLUSION: The burden of catastrophic health expenditures remains large. In order to reduce this burden, public health expenditures need to be expanded as an alternative. This calls for renewed attention to expand public revenues as the most sustainable methods of financing health expenditures in Africa.

Measuring health facility readiness and its effects on severe malaria outcomes in Uganda.

There is paucity of evidence for the role of health service delivery to the malaria decline in Uganda We developed a methodology to quantify health facility readiness and assessed its role on severe malaria outcomes among lower-level facilities (HCIIIs and HCIIs) in the country. Malaria data was extracted from the Health Management Information System (HMIS). General service and malaria-specific readiness indicators were obtained from the 2013 Uganda service delivery indicator survey. Multiple correspondence analysis (MCA) was used to construct a composite facility readiness score based on multiple factorial axes. Geostatistical models assessed the effect of facility readiness on malaria deaths and severe cases. Malaria readiness was achieved in one-quarter of the facilities. The composite readiness score explained 48% and 46% of the variation in the original indicators compared to 23% and 27%, explained by the first axis alone for HCIIIs and HCIIs, respectively. Mortality rate was 64% (IRR = 0.36, 95% BCI: 0.14-0.61) and 68% (IRR = 0.32, 95% BCI: 0.12-0.54) lower in the medium and high compared to low readiness groups, respectively. A composite readiness index is more informative and consistent than the one based on the first MCA factorial axis. In Uganda, higher facility readiness is associated with a reduced risk of severe malaria outcomes.

Impact of malaria morbidity on gross domestic product in Uganda.

BACKGROUND: The burden of malaria is a key challenge to both human and economic development in malaria endemic countries. The impact of malaria can be categorized from three dimensions, namely: health, social and economic. The objective of this study was to estimate the impact of malaria morbidity on gross domestic product (GDP) of Uganda. METHODS: The impact of malaria morbidity on GDP of Uganda was estimated using double-log econometric model. The 1997-2003 time series macro-data used in the analysis were for 28 quarters, i.e. 7 years times 4 quarters per year. It was obtained from national and international secondary sources. RESULTS: The slope coefficient for Malaria Index (M) was -0.00767; which indicates that when malaria morbidity increases by one unit, while holding all other explanatory variables constant, per capita GDP decreases by US$0.00767 per year. In 2003 Uganda lost US$ 49,825,003 of GDP due to malaria morbidity. Dividing the total loss of US$49.8 million by a population of 25,827,000 yields a loss in GDP of US$1.93 per person in Uganda in 2003. CONCLUSION: Malaria morbidity results in a substantive loss in GDP of Uganda. The high burden of malaria leads to decreased long-term economic growth, and works against poverty eradication efforts and socioeconomic development of the country.