Health expenditure: how much is spent on health and care worker remuneration? An analysis of 33 low- and middle-income African countries.

OBJECTIVES: To assess the amount spent on health and care workforce (HCW) remuneration in the African countries, its importance as a proportion of country expenditure on health, and government involvement as a funding source. METHODS: Calculations are based on country-produced disaggregated health accounts data from 33 low- and middle-income African countries, disaggregated wherever possible by income and subregional economic group. RESULTS: Per capita expenditure HCW remuneration averaged US$ 38, or 29% of country health expenditure, mainly coming from domestic public sources (three-fifths). Comparable were the contributions from domestic private sources and external aid, measured at around one-fifth each-23% and 17%, respectively. Spending on HCW remuneration was uneven across the 33 countries, spanning from US$ 3 per capita in Burundi to US$ 295 in South Africa. West African countries, particularly members of the West African Economic and Monetary Union (WAEMU), were lower spenders than countries in the Southern African Development Community (SADC), both in terms of the share of country health expenditure and in terms of government efforts/participation. By income group, HCW remuneration accounted for a quarter of country health expenditure in low-income countries, compared to a third in middle-income countries. Furthermore, an average 55% of government health expenditure is spent on HCW remuneration, across all countries. It was not possible to assess the impact of fragile and vulnerable countries, nor could we draw statistics by type of health occupation. CONCLUSIONS: The results clearly show that the remuneration of the health and care workforce is an important part of government health spending, with half (55%) of government health spending on average devoted to it. Comparing HCW expenditure components allows for identifying stable sources, volatile sources, and their effects on HCW investments over time. Such stocktaking is important, so that countries, WHO, and other relevant agencies can inform necessary policy changes.

Financing health system elements in Africa: A scoping review.

Countries that are reforming their health systems to progress towards Universal Health Coverage (UHC) need to consider total resource requirements over the long term to plan for the implementation and sustainable financing of UHC. However, there is a lack of detailed conceptualization as to how the current health financing mechanisms interplay across health system elements. Thus, we aimed to generate evidence on how to utilize resources from different sources of funds in Africa. We conducted a scoping review of empirical research following the six-stage methodological framework for Scoping Review by Arksey & O'Malley and Levac, Colquhoun & O'Brien. We searched for published and grey literature in Medline, Cochrane Library, PubMed, WHO database, World bank and Google Scholar search engines databases and summarized data using a narrative approach, involving thematic syntheses and descriptive statistics. We included 156 studies out of 1,168 studies among which 13% were conceptual studies while 87% were empirical studies. These selected studies focused on the financing of the 13 health system elements. About 45% focused on service delivery, 13% on human resources, 5% on medical products, and 3% on infrastructure and governance. Studies reporting multiple health system elements were 8%, while health financing assessment frameworks was 23%. The publication years ranged from 1975 to 2021. While public sources were the most dominant form of financing, global documentation of health expenditure does not track funding on all the health system dimensions that informed the conceptual framework of this scoping review. There is a need to advocate for expenditure tracking for health systems, including intangibles. Further analysis would inform the development of a framework for assessing financing sources for health system elements based on efficiency, feasibility, sustainability, equity, and displacement.

Effects of global financial crisis on funding for health development in nineteen countries of the WHO African Region.

BACKGROUND: There is ample evidence in Asia and Latin America showing that past economic crises resulted in cuts in expenditures on health, lower utilization of health services, and deterioration of child and maternal nutrition and health outcomes. Evidence on the impact of past economic crises on health sector in Africa is lacking. The objectives of this article are to present the findings of a quick survey conducted among countries of the WHO African Region to monitor the effects of global financial crisis on funding for health development; and to discuss the way forward. METHODS: This is a descriptive study. A questionnaire was prepared and sent by email to all the 46 Member States in the WHO African Region through the WHO Country Office for facilitation and follow up. The questionnaires were completed by directors of policy and planning in ministries of health. The data were entered and analyzed in Excel spreadsheet. The main limitations of this study were that authors did not ask whether other relevant sectors were consulted in the process of completing the survey questionnaire; and that the overall response rate was low. RESULTS: The main findings were as follows: the response rate was 41.3% (19/46 countries); 36.8% (7/19) indicated they had been notified by the Ministry of Finance that the budget for health would be cut; 15.8% (3/19) had been notified by partners of their intention to cut health funding; 61.1% (11/18) indicated that the prices of medicines had increased recently; 83.3% (15/18) indicated that the prices of basic food stuffs had increased recently; 38.8% (7/18) indicated that their local currency had been devalued against the US dollar; 47.1% (8/17) affirmed that the levels of unemployment had increased since the onset of global financial crisis; and 64.7% (11/17) indicated that the ministry of health had taken some measures already, either in reaction to the global financing crisis, or in anticipation. CONCLUSION: A rapid assessment, like the one reported in this article, of the effects of the global financial crisis on a few variables, is important to alert the Ministry of Health on the looming danger of cuts in health funding from domestic and external sources. However, it is even more important for national governments to monitor the effects of the economic crisis and the policy responses on the social determinants of health, health inputs, health system outputs and health system outcomes, e.g. health.

Health financing reform in Kenya - assessing the social health insurance proposal.

Kenya has had a history of health financing policy changes since its independence in 1963. Recently, significant preparatory work was done on a new Social Health Insurance Law that, if accepted, would lead to universal health coverage in Kenya after a transition period. Questions of economic feasibility and political acceptability continue to be discussed, with stakeholders voicing concerns on design features of the new proposal submitted to the Kenyan parliament in 2004. For economic, social, political and organisational reasons a transition period will be necessary, which is likely to last more than a decade. However, important objectives such as access to health care and avoiding impoverishment due to direct health care payments should be recognised from the start so that steady progress towards effective universal coverage can be planned and achieved.

Determinants of health insurance ownership among South African women.

BACKGROUND: Studies conducted in developed countries using economic models show that individual- and household- level variables are important determinants of health insurance ownership. There is however a dearth of such studies in sub-Saharan Africa. The objective of this study was to examine the relationship between health insurance ownership and the demographic, economic and educational characteristics of South African women. METHODS: The analysis was based on data from a cross-sectional national household sample derived from the South African Health Inequalities Survey (SANHIS). The study subjects consisted of 3,489 women, aged between 16 and 64 years. It was a non-interventional, qualitative response econometric study. The outcome measure was the probability of a respondent's ownership of a health insurance policy. RESULTS: The chi2 test for goodness of fit indicated satisfactory prediction of the estimated logit model. The coefficients of the covariates for area of residence, income, education, environment rating, age, smoking and marital status were positive, and all statistically significant at p < or = 0.05. Women who had standard 10 education and above (secondary), high incomes and lived in affluent provinces and permanent accommodations, had a higher likelihood of being insured. CONCLUSION: Poverty reduction programmes aimed at increasing women's incomes in poor provinces; improving living environment (e.g. potable water supplies, sanitation, electricity and housing) for women in urban informal settlements; enhancing women's access to education; reducing unemployment among women; and increasing effective coverage of family planning services, will empower South African women to reach a higher standard of living and in doing so increase their economic access to health insurance policies and the associated health services.

Determinants of health insurance ownership among South African women

Background: Studies conducted in developed countries using economic models show that individual- and household- level variables are important determinants of health insurance ownership. There is however a dearth of such studies in sub-Saharan Africa. The objective of this study was to examine the relationship between health insurance ownership and the demographic, economic and educational characteristics of South African women. Methods: The analysis was based on data from a cross-sectional national household sample derived from the South African Health Inequalities Survey (SANHIS). The study subjects consisted of 3,489 women, aged between 16 and 64 years. It was a non-interventional, qualitative response econometric study. The outcome measure was the probability of a respondent's ownership of a health insurance policy. Results: The χ2 test for goodness of fit indicated satisfactory prediction of the estimated logit model. The coefficients of the covariates for area of residence, income, education, environment rating, age, smoking and marital status were positive, and all statistically significant at p ≤ 0.05. Women who had standard 10 education and above (secondary), high incomes and lived in affluent provinces and permanent accommodations, had a higher likelihood of being insured. Conclusion: Poverty reduction programmes aimed at increasing women's incomes in poor provinces; improving living environment (e.g. potable water supplies, sanitation, electricity and housing) for women in urban informal settlements; enhancing women's access to education; reducing unemployment among women; and increasing effective coverage of family planning services, will empower South African women to reach a higher standard of living and in doing so increase their economic access to health insurance policies and the associated health services