Embedding value-for-money in practice: A case study of a health pooled fund programme implemented in conflict-affected South Sudan.

In recent times, there has been an increasing drive to demonstrate value for money (VfM) for investments made in public health globally. However, there is paucity of information on practical insights and best practices that have helped implementing organisations to successfully embed VfM in practice for programming and evaluation. In this article, we discuss strengths and weaknesses of approaches that been used and insights on best practices to manage for, demonstrate, and compare VfM, using a health pooled fund programme implemented in conflict-affected South Sudan as case study supported by evidence reported in the literature while critiquing adequacy of the available approaches in this setting. An expanded and iterative process framework to guide VfM embedding for health programming and evaluation is then proposed. In doing so, this article provides a very relevant one-stop source for critical insight into how to embed VfM in practice. Uptake and scale-up of the proposed framework can be essential in improving VfM and aid effectiveness which will ultimately contribute to progress towards achieving the Sustainable Development Goals by 2030.

Integrated surveys of neglected tropical diseases in southern Sudan: how much do they cost and can they be refined?

BACKGROUND: Increasing emphasis on integrated control of neglected tropical diseases (NTDs) requires identification of co-endemic areas. Integrated surveys for lymphatic filariasis (LF), schistosomiasis and soil-transmitted helminth (STH) infection have been recommended for this purpose. Integrated survey designs inevitably involve balancing the costs of surveys against accuracy of classifying areas for treatment, so-called implementation units (IUs). This requires an understanding of the main cost drivers and of how operating procedures may affect both cost and accuracy of surveys. Here we report a detailed cost analysis of the first round of integrated NTD surveys in Southern Sudan. METHODS AND FINDINGS: Financial and economic costs were estimated from financial expenditure records and interviews with survey staff using an ingredients approach. The main outcome was cost per IU surveyed. Uncertain variables were subjected to univariate sensitivity analysis and the effects of modifying standard operating procedures were explored. The average economic cost per IU surveyed was USD 40,206 or USD 9,573, depending on the size of the IU. The major cost drivers were two key categories of recurrent costs: i) survey consumables, and ii) personnel. CONCLUSION: The cost of integrated surveys in Southern Sudan could be reduced by surveying larger administrative areas for LF. If this approach was taken, the estimated economic cost of completing LF, schistosomiasis and STH mapping in Southern Sudan would amount to USD 1.6 million. The methodological detail and costing template provided here could be used to generate cost estimates in other settings and readily compare these to the present study, and may help budget for integrated and single NTDs surveys elsewhere.