by Andrew Briggs, Karl Claxton, Mark Sculpher
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Product Description 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 decision modelling 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. 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 help analysts understand the contribution of decision-analytic modelling to the evaluation of health care programmes. ABOUT THE SERIES: Economic evaluation of health interventions 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.
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Average Customer Review:
0 of 0 people found the following review helpful:
Poorly written and confusing, 2008-08-30 I've read this book from cover to cover, and was not able to get much from it. It is a very puzzling text.
Someone who is not already familiar with the basics of economic evaluation would probably not understand the book. That's because quite a bit of background seems to be assumed, and little basic explanation is given.
Others -- like me -- who do know the basics are likely to be confused because of the poor writing style and the authors' frequent allusions to matters they do not discuss. Take pages 176-179 for instance. There, the authors say that information, once generated "has public good characteristics and is nonrival". As an economist, I know what that means; non-economists will not have a clue. On page 177, they refer to "negative threshold space" -- whatever that is?!? Fig 6.4 on page 178 is missing a curve that is referenced in the text proper. And on page 179, we learn that "... there is no such thing as perfect information but it does place an upper bound on the returns to research". If it does not exist, then how can it "place an upper bound" on anything?
The authors love to claim -- repeatedly that "clearly" something is so and that "it should be clear that" other things are true. I didn't find it so.

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