The Ouagadougou Declaration on Primary Health Care and Health Systems in Africa: Achieving better Health for Africa in the New Millennium

The Ouagadougou Declaration on Primary Health Care and Health Systems in Africa focuses on nine major priority areas: 1) leadership and governance for health; 2) health services delivery; 3) human resources for health; 4) health financing; 5) health information systems; 6) health technologies; 7) community ownership and participation; 8) partnerships for health development; and 9) research for health. This paper describes a framework constructed for implementing the necessary activities in each of these priority areas; and proposes recommendations for consideration by Member States in the development of their own country frameworks. The frameworkfor implementing activities related to health information and research for health which have been taken into account in the Algiers Framework are discussed separately elsewhere in this issue

The cost of health-related brain drain to the WHO African Region

The African Region continues to experience loss of a sizeable number of highly skilled health professionals (physicians, nurses, dentists and pharmacists) to Australia, North America and European Union. Past attempts to estimate cost of migration were limited to education cost only and did not include the lost returns from investment. The objective of this study was to estimate the social cost of emigration of doctors and nurses from the African Region to the developed countries. The cost information used in this study was obtained from one nonprofit primary and secondary school and one public university in Kenya. The cost estimates represent unsubsidized cost. The loss incurred by African countries through emigration is obtained by compounding the cost of educating a medical doctor and a nurse over the period between the age of emigration and the retirement age in recipient countries. The main findings were as follows: total cost of educating a single medical doctor from primary school to university is US$65,997; for every doctor that emigrates, a country loses about US$1,854,677 returns from investment; total cost of educating one nurse from primary school to college of health sciences is US$43,180; for every nurse that emigrates, a country loses about US$1,213,463 returns from investment. Developed countries continue to deprive African countries of billions of dollars worth of invaluable investments embodied in their human resources. If the current trend of poaching of scarce human resources for health (and other professionals) from African countries is not curtailed, the chances of achieving the Millennium Development Goals would remain dismal. Such continued plunder of investments embodied in human resources contributes to further underdevelopment of Africa and to keeping majority of her people in the vicious circle of poverty. Therefore, both developed and developing countries need to urgently develop and implement strategies for addressing this issue.

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