Mapping is the term used to refer to studies which estimate health state utility values from some non-preference based outcome measures. It is a practice commonly undertaken in HTA, most typically when clinical trials have not included any preference based instrument which would permit the estimation of QALYs in a cost-utility analysis. Mapping uses a different dataset to bridge this evidence gap. This is an introductory level course that will provide instruction to participants on key issues faced either when conducting, interpreting or using the results of a mapping study. It will draw on the ISPOR Good Practice Guide on Mapping that all faculty were members of. The course will introduce the concept of mapping and highlight the types of areas where it has been used. Using real world examples we will provide an overview of the main considerations for mapping including, how to select an appropriate dataset for mapping, key aspects for undertaking the statistical analysis and producing the optimal mapping model, how to report, interpret and use results from mapping in real world cost-effectiveness studies. A mixture of formal presentations, group discussions and illustrated examples will be used with an emphasis on interactive elements between the faculty and participants.