Value of information analytical methods: Report 2 of the ISPOR value of information analysis emerging good practices task force

The allocation of health care resources among competing priorities requires an assessment of the expected costs and health effects of investing resources in the activities, and on the opportunity cost of the expenditure. To date, much effort has been devoted to assessing the expected costs and health effects, but there remains an important need to also reflect the consequences of uncertainty in resource allocation decisions and the value of further research to reduce uncertainty. Decision-making with uncertainty may turn out to be suboptimal, resulting in health loss. Consequently, there may be value in reducing uncertainty, through the collection of new evidence, to better inform resource decisions. This value can be quantified using Value of Information (VOI) analysis. This report, from the ISPOR VOI Task Force, describes methods for computing four VOI measures: the Expected Value of Perfect Information (EVPI), Expected Value of Partial Perfect Information (EVPPI), Expected Value of Sample Information (EVSI) and Expected Net Benefit of Sampling (ENBS). Several methods exist for computing EVPPI and EVSI, and this report provides guidance on selecting the most appropriate method based on the features of the decision problem. The report provides a number of recommendations for good practice when planning, undertaking or reviewing VOI analyses. The software needed to compute VOI is discussed, and areas for future research are highlighted.