Free PDF Decision Modelling for Health Economic Evaluation (Handbooks in Health Economic Evaluation)
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Decision Modelling for Health Economic Evaluation (Handbooks in Health Economic Evaluation)
Free PDF Decision Modelling for Health Economic Evaluation (Handbooks in Health Economic Evaluation)
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Product details
Series: Handbooks in Health Economic Evaluation
Paperback: 256 pages
Publisher: Oxford University Press; 1 edition (September 28, 2006)
Language: English
ISBN-10: 9780198526629
ISBN-13: 978-0198526629
ASIN: 0198526628
Product Dimensions:
9.2 x 0.5 x 6.1 inches
Shipping Weight: 1 pounds (View shipping rates and policies)
Average Customer Review:
3.8 out of 5 stars
7 customer reviews
Amazon Best Sellers Rank:
#392,151 in Books (See Top 100 in Books)
This book is an excellent "how-to" for building economic cost-effectiveness models for healthcare. The bulk of it focuses on what I would describe as intermediately complex situations such as Monte Carlo simulation of decision trees and how to build Markov Models. It definitely assumes that you have already been introduced to economic evaluation conceptually and will be a bit too brief for someone looking to be taught the field from scratch.I'm honestly surprised by some of the experienced modelers dislike of this book in the other reviewer comments. It has a very exercise-heavy approach that may be tedious for those too experienced, but I picked this up after doing a theory course and it was the perfect supplement to put some of that work into practice.
Introduction to Pharmacoeconomic Modeling provides detailed information about models, variance, heterogeneity and uncertainty surrounding these different models. This book is very informative and detailed. I like how every topic is separated and easy to find.
This is a very strong book on advanced applied outcomes/cost-effectiveness research. I suppose this would not be the first thing I gave an undergraduate with no background in health or health economic research to use to learn applied cost-effectiveness, but it IS what I give to my research assistants when they come to work for me.There are many, many remedial and beginning books on this subject. The author's here are to be commended for trying to push the field forward towards using more rigorous evaluation methods. There are applied exercises that provide code to interested students who would like to learn how to create their own cost-effectiveness analyses.It is difficult to argue with the person who called this a manual for health care rationing. There are some in the United States, generally funded by the pharmaceutical or medical device industries, always Republican, who simply reject the notion of rigorously evaluating any health care expenditure for value and utility. These same people often wear three cornered hats, carry don't tread on me flags, and scream about the deficit without any comprehensive that health expenditures are the cause of our deficit. Its an incoherent position and one that has no place denigrating a strong book such as this one.
I'm neutral on this one. Healthcare modeling is my mien, but this wasn't that useful.
this is must for people starting on modeling (health economics)Very clear explanations. Starting from a pretty basic level dut going deep enought to get a good understanding on the rationale and procedures in modeling
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.
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 correct methodology for such decisions. Limitations include: (1) not acknowledging areas were there is less expert convergence of opinion (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 ration healthcare based on age or disability status?).
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