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Decision Modelling for Health Economic Evaluation (Handbooks for Health Economic Evaluation)

Decision Modelling for Health Economic Evaluation (Handbooks for Health Economic Evaluation)

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Описание
In financially constrained health systems across the world, increasing emphasis is being placed on the ability to demonstrate that health care interventions are not only effective, but also cost-effective. This book deals with techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals. Particular emphasis is placed on the importance of the appropriate representation of uncertainty in the evaluative process and the implication this uncertainty has for decision making and the need for future research. This highly practical guide takes the reader through the key principles and approaches of modelling techniques, towards a knowledge of how to conduct such an analysis. It begins with the basics of constructing different forms of the model, the population of the model with input parameter estimates, analysis of the results, and progression to the holistic view of models as a valuable tool for informing future research exercises. Case studies and exercises are supported with online templates and solutions. This book will helep analysts understand the contribution of decision-analystic modelling to the evaluation fo health care programmes. ABOUT THE SERIES Economic evaluation of health intervention is a growing specialist field, and this series of practical handbooks will tackle, in depth, topics superficially addressed in more general health economics books. Each volume will include illustrative material, case histories and worked examples to encourage the reader to apply the methods discussed, with supporting material provided online. This series is aimed at health economists in academia, the pharmaceutical industry and the health sector, those on advanced health economics courses, and health researchers in associated fields.