Do malaria preventive interventions reach the poor? Socioeconomic inequities in expenditure on and use of mosquito control tools in Sudan.

OBJECTIVES: To determine levels of socioeconomic inequities in the prevention of malaria, and to examine the implications of the findings for improving the equitable control of malaria in the Sudan. METHODS: A cross-sectional survey using a pre-tested interviewer-administered questionnaire was administered to 720 randomly selected householders from six localities in Gezira and Khartoum States. A socioeconomic status (SES) index, which was developed using principal components analysis, was used to examine socioeconomic inequity in the prevention of malaria. FINDINGS: Socioeconomic status was positively related to expenditures and use of vector control tools. The poorest households spent the least amounts of money to prevent malaria and were the least likely to own mosquito nets. CONCLUSION: The inequity in the prevention of malaria in the study areas has to be redressed before malaria can be effectively controlled in Sudan. Malaria control managers should continually determine the extent to which malaria preventive tools reach the poorest socioeconomic groups, and fashion strategies that will ensure that equity is always maintained.

Socio-economic inequity in demand for insecticide-treated nets, in-door residual house spraying, larviciding and fogging in Sudan.

BACKGROUND: In order to optimally prioritize and use public and private budgets for equitable malaria vector control, there is a need to determine the level and determinants of consumer demand for different vector control tools. OBJECTIVES: To determine the demand from people of different socio-economic groups for indoor residual house-spraying (IRHS), insecticide-treated nets (ITNs), larviciding with chemicals (LWC), and space spraying/fogging (SS) and the disease control implications of the result. METHODS: Ratings and levels of willingness-to-pay (WTP) for the vector control tools were determined using a random cross-sectional sample of 720 householdes drawn from two states. WTP was elicited using the bidding game. An asset-based socio-economic status (SES) index was used to explore whether WTP was related to SES of the respondents. RESULTS: IRHS received the highest proportion of highest preferred rating (41.0%) followed by ITNs (23.1%). However, ITNs had the highest mean WTP followed by IRHS, while LWC had the least. The regression analysis showed that SES was positively and statistically significantly related to WTP across the four vector control tools and that the respondents' rating of IRHS and ITNs significantly explained their levels of WTP for the two tools. CONCLUSION: People were willing to pay for all the vector-control tools, but the demand for the vector control tools was related to the SES of the respondents. Hence, it is vital that there are public policies and financing mechanisms to ensure equitable provision and utilisation of vector control tools, as well as protecting the poor from cost-sharing arrangements.