The Expected Value of Sample Information (EVSI) allows us to quantify theeconomic benefit of a potential future trial or study. While this is clearly ofbenefit, especially when considering which trials should be funded, it hasrarely been used in practise due to the immense computational power required tocalculate the EVSI using traditional methods. Therefore, recently a largenumber of methods have been designed to reduce the computational burdenrequired to calculate the EVSI and therefore allow practitioners to use it whendesigning trials and applying for funding. However, these methods are quitetechnical and are generally simply presented in theoretical terms. Therefore,this paper describes and demonstrates one of these recent methods using asimple toy example and realistic health economic model to aid practitioners toput this method into practise. It also investigates the practical applicationof this method and makes recommendations for the practitioners to achieveaccurate EVSI estimates.
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