Decision Modelling for Health Economic Evaluation
Choice Modelling for Health Economic Evaluation Books
Product Description
In financially constrained health systems across the world, increasing emphasis is being placed on the ability to exhibit that health care interventions are not only effective, but also cost-effective. This book deals with choice 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 apt representation of uncertainty in the evaluative administer and the implication this uncertainty has for choice making and the need for future research. This highly matter-of-fact guide takes the reader through the key principles and approaches of modelling techniques. It starts with the basics of constructing different forms of the develop, the populace of the develop with input parameter estimates, analysis of the consequences, 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 know the contribution of choice-analytic modelling to the evaluation of health care programmes. ABOUT THE SERIES: Economic evaluation of health interventions is a growing specialist field, and this run of matter-of-fact 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 run 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.
Buy Cheap Choice Modelling for Health Economic Evaluation Online
Related posts:
The book reviews materials taught by this group on methods they use in submissions and reviews for the UK’s National Institute of Health and Clinical Excellence. It is worth reading because it gives background on what one of several groups believes is the right methodology for such decisions. Limitations include: (1) not acknowledging areas were there is less expert convergence of attitude (e.g., the relevance of probabilistic sensitivity analysis), (2) suboptimal program routines, and (3) couching issues with political undertones within a veil of scientific discourse (e.g., does applying their approach tacitly permit the UK government to allocation healthcare based on age or disability status?).
Rating: 3 / 5
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 know the book. That’s because quite a bit of background seems to be assumed, and small 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 in rank, once generated “has broadcast excellent 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 gone a curve that is referenced in the text proper. And on page 179, we learn that “… there is no such thing as perfect in rank 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 like to claim — repeatedly that “clearly” something is so and that “it should be clear that” other things are right. I didn’t find it so.
Rating: 2 / 5