Effects of Maternal Mortality on Gross Domestic Product (GDP) in the WHO African Region

WHO African region has got the highest maternal mortality rate compared to the other five regions. Maternal mortality is hypothesized to have significantly negative effect on the gross domestic product (GDP). The objective of the current study was to estimate the loss in GDP attributable to maternal mortality in the WHO African Region. The burden of maternal mortality on GDP was estimated using a doublelog econometric model. The analysis is based on cross-sectional data for 45 of the 46 Member States in the WHO African Region. Data were obtained from UNDP and the World Bank publications. All the explanatory variables included in the doublelog model were found to have statistically significant effect on per capita gross domestic product (GDP) at 5level in a t-distribution test. The coefficients for land (D); capital (K); educational enrolment (EN) and exports (X) had a positive sign; while labor (L); imports (M) and maternal mortality rate (MMR) were found to impact negatively on GDP. Maternal mortality of a single person was found to reduce per capita GDP by US$ 0.36 per year. The study has demonstrated that maternal mortality has a statistically significant negative effect on GDP. Thus; as policy-makers strive to increase GDP through land reform programs; capital investments; export promotion and increase in educational enrolment; they should always remember that investments in maternal mortalityreducing interventions promises significant economic returns

A cost-benefit analysis of preventive schistosomiasis interventions in Kenya.

The objectives of this paper are fourfold: first, to develop a model for a cost benefit analysis (CBA) to appraise various preventive schistosomiasis interventions; second, to identify the relevant types of data needed for such a model; third, to use the model to inform choices about optimal prevention strategies; and fourthly, to discuss the utility of this form of decision analysis to policy-makers. The following data were used: expected costs of each option over the 15 year project life; willingness-to-pay value for health states (outcomes); probabilities of health states with and without various interventions; 15 year population forecasts; discount factors for each year; and a standard conversion factor. All the interventions examined had a positive net present value, with the drip mollusciciding option dominating the other options. The study also highlighted the fact that there is as need for collaboration between tropical disease epidemiologists and health economists in the design and execution of randomized controlled trails to obtain the probabilistic effectiveness data needed in such decision analyzes.

Willingness-to-pay for schistosomiasis-related health outcomes in Kenya.

Cost-benefit analysis (CBA) provides a framework for identifying, quantifying, and valuing in monetary terms all the important costs and consequences to society of competing disease interventions. Thus, CBA requires that impacts of schistosomiasis interventions on beneficiaries'health be valued in monetary terms Economic theory requires the use of the willingness to pay (WTP) approach in valuation of changes in health as a result of intervention. It is the only approach which is consistent with the potential Pareto improvement principle, and hence, consistent with CBA. The present study developed a health outcome measure and tested its operational feasibility. Contingent valuation for certain return to normal health from various health states, and for remaining in one's current health state were elicited through direct interview of randomly selected rice farmers, teachers, and health personnel in Kenya. The WTP to avoid risk of advancing to the next more severe state, seemed to be higher than WTP for a return to normal health. Generally, there was a significant difference between the average WTP values of farmers, teachers and health personnel populations. The gender and occupation variable coefficients were positive and highly significant in all regressions. The coefficients of the other explanatory variables were generally not statistically significant, indicating that medical expenses, anxiety cost, loss of earnings, and loss of work time, implied in various health states descriptions did not have significant effect on respondents expressed WTP values. The latter finding shows that there is need for more research to identify the other (besides gender and occupation) determinants of expressed WTP values in Africa. This study has demonstrated that it is possible to elicit coherent WTP values from economically under-developed countries. Further empirical work is clearly needed to at least address the validity and reliability of the contingent valuation approach and its measurements in Africa.