Variation in financial protection and its association with health expenditure indicators: an analysis of low- and middle-income countries.

BACKGROUND: An insight into variation in financial protection among countries and the underpinning factors associated with the variations observed will help to inform public health policy and practice. METHOD: Secondary datasets from Global Health Expenditure Database and World Bank Development Indicators collected between 2000 and 2016 were used. Financial protection was measured in 75 low- and middle-income countries (LMICs) using the sustainable development goals framework. Funnel plot charts were used to explore the variation, and regression models were used to measure associations. RESULT: Fifty-three (67%) countries were within the 99% control limits indicating common-cause variation; 11 countries were above the upper control limit and 15 countries were below the lower control limit. In the fully adjusted model, country, spending on health relative to their economy had the strongest association with the variation in catastrophic spending. Every 1% increase in health spending relative to gross domestic product (GDP) was found to be associated with a reduction of 0.13% in the number of people that incurred catastrophic health spending. CONCLUSION: There is substantial variation in financial protection, as measured by the number of people that incurred catastrophic health spending, in LMICs; a proportion of this could be explained by the difference in GDP and external health expenditure.

Equity of national publicly funded health insurance schemes under the universal health coverage agenda: a systematic review of studies conducted in Africa.

BACKGROUND: The implementation of publicly funded health insurance schemes (PFHIS) is the major strategy to drive progress and achievement of universal health coverage (UHC) by 2030. We appraised evidence on the equity of insurance schemes across Africa. METHODS: We conducted a systematic review of published studies that assessed equity in health insurance schemes implemented under the UHC agenda in Africa. Seven databases, Web of Science, Medline, CINAHL, Scopus, Cochrane Library, EMBASE and World Bank eLibrary, were searched; we operationalized the PROGRESS-Plus (place of residence; race/ethnicity/culture/language; occupation; gender/sex religion; education; socioeconomic status; social capital) equity framework to assess equity areas. RESULTS: Forty-five studies met the inclusion criteria and were included in the study, in which 90% assessed equity by socioeconomic status. Evidence showed that rural residents, those self-employed or working in the informal sector, men, those with lower educational attainment, and the poor were less likely to be covered by health insurance schemes. Broadly, the insurance schemes, especially, community-based health insurance (CBI) schemes improved utilization by disadvantaged groups, however, the same groups were less likely to benefit from health services. CONCLUSIONS: Evidence on equity of PFHIS is mixed, however, CBI schemes seem to offer more equitable coverage and utilization of essential health services in Africa.