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Medical Decision Making [Paperback]

Harold C. Sox , Michael C. Higgins , Douglas K. Owens
3.9 out of 5 stars  See all reviews (10 customer reviews)
Price: 37.99 & FREE Delivery in the UK. Details
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Book Description

5 July 2013 0470658665 978-0470658666 2nd Edition
This book clearly demonstrates how to best make medical decisions while incorporating clinical practice guidelines and decision support systems for electronic medical record systems. New to this edition is how medical decision making ideas are being incorporated into clinical decision support systems in electronic medical records and also how they are being used to shape practice guidelines and policies.

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Product details

  • Paperback: 364 pages
  • Publisher: Wiley-Blackwell; 2nd Edition edition (5 July 2013)
  • Language: English
  • ISBN-10: 0470658665
  • ISBN-13: 978-0470658666
  • Product Dimensions: 23 x 15 x 2 cm
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (10 customer reviews)
  • Amazon Bestsellers Rank: 557,760 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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From the Back Cover

Medical Decision Making provides clinicians with a powerful framework for helping patients make decisions that increase the likelihood that they will have the outcomes that are most consistent with their preferences. This new edition provides a thorough understanding of the key decision making infrastructure of clinical practice and explains the principles of medical decision making both for individual patients and the wider health care arena. It shows how to make the best clinical decisions based on the available evidence and how to use clinical guidelines and decision support systems in electronic medical records to shape practice guidelines and policies. Medical Decision Making is a valuable resource for all experienced and learning clinicians who wish to fully understand and apply decision modelling, enhance their practice and improve patient outcomes. “There is little doubt that in the future many clinical analyses will be based on the methods described in Medical Decision Making, and the book provides a basis for a critical appraisal of such policies.” – Jerome P. Kassirer M.D., Distinguished Professor, Tufts University School of Medicine, US  and Visiting Professor, Stanford Medical School, US

About the Author

Harold C. Sox"Geisel School of Medicine at Dartmouth, Hanover, New Hampshire"Michael C. Higgins"Stanford University, Stanford, California"Douglas K. Owens"Department of Veterans Affairs Palo Alto Health Care System, Palo Alto, California; Stanford University, Stanford, California"

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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews

3.9 out of 5 stars
3.9 out of 5 stars
Most Helpful Customer Reviews
1 of 1 people found the following review helpful
3.0 out of 5 stars The Sweetest thing 24 Nov 2013
By Duncurin VINE VOICE
Format:Paperback|Vine Customer Review of Free Product (What's this?)
Wow, this is a high power, hi-tech book in every sense of the word. I have to tell you, however, that it's greatest delight is in the first few pages: for soon after this you are immersed in fairly complex formulae that left my A level maths well behind (though this is more than a few years old!)
I suspect it may well be much more compelling reading for a mathematician and a statistician who has an interest in clinical care.
It's true that as a GP I pose questions of risk to patients all day long, but it is important that they are couched in terms that I can convey and they can understand.
As regards the formulae, whilst I fully accept that they are powerful and useful tools in discussing treatment, outcomes and the most vital, risk, with a patient - I suspect, however, that they will be confined to technical `under the bonnet' calculations and we will in future simply press the button, having fed in the data on our computer or tablet so that the App can work it all out.
More and more we do use computer algorithms to work out, for instance 10 year risk of having a stroke or heart attack. We feed in the data up comes the number. The most exciting thing about this is when I tell them how to halve their risk - simply by stopping smoking and then I show them how the numbers fall.
Moreover, at all times, certainly in my work, bald figures are never enough. For instance it is widely held that the more modern 4th generation oral contraceptives have double the risk of VTE - ( clots in the legs ) of the older Pills. I tell females on the newer pills that it's a bit like crossing a main road twice, not once - in other words still pretty low risk but definitely at higher risk.
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1 of 1 people found the following review helpful
4.0 out of 5 stars Making your mInd up! 7 Oct 2013
By Mr. Stephen Redman VINE VOICE
Format:Paperback|Vine Customer Review of Free Product (What's this?)
This almost 350 page paperback is a second edition and is dated 2013 so this volume is bang-up-to-date.

The size of the book is a lot easier to read from then most medical textbooks but the inside lacks colour. Whilst there are a great number of flow charts, graphs, tables, etc, the black and white nature doesn't draw the reader in.

However, the headings and subheadings make it very easy to find the information you're looking for, allowing the book to be used as a reference guide. With a good index of subjects and sections at the front as well as the standard index at the back, you will find what you want in this book quickly.

The book takes the medic through a process of discussing how data may be gathered, interpreted and considered. It also discusses using new methods and evaluating their risks and effectiveness.

There are chapters on differential diagnosis, probability, Bayes' theorem, the accuracy of tests and measuring outcomes. There is also a discussion of the cost effectiveness of tests and treatments.

This book is well written and readable, yet it is constructed in a purely academic style. A greater consideration of drawing the eye to the page and making them more interesting and colourful would have been a plus.

It is an important area of medicine but the book covers a lot of medical statistics, beyond the level of a medical undergraduate, but good for reference and a more academically suited mind.

A useful text for any medics bookshelf.
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4.0 out of 5 stars Tough to read 16 Jan 2014
Format:Paperback|Vine Customer Review of Free Product (What's this?)
Ultra hardcore on the stats front, definitely a lot more than I expected and therefore, while I persevered, I no doubt didn't get the full content out of this that someone who has a need to read this would.

Can't knock the content and presentation, as both were impeccable, but I'd suggest if you have come to this page you probably already know what this book contains and thus my review will make little difference!
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3.0 out of 5 stars More for a statistician than a clinician. 16 Jan 2014
By Flickering Ember TOP 1000 REVIEWER
Format:Paperback|Vine Customer Review of Free Product (What's this?)
Although not as difficult to read as some similar books, this book is not easy going. Even a friend of mine with real mathematical prowess struggled with some of it. I would therefore suggest that this book is better suited to statiticians than to medical practitioners per se.
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4.0 out of 5 stars A technical Tour de Force 3 Dec 2013
By Andrew Dalby VINE VOICE
Format:Paperback|Vine Customer Review of Free Product (What's this?)
The first thing I should point out is that this is a rigorous maths book and not a layman's guide to making decisions. This is a book that goes into the intricate mathematical details of Bayesian Decision Theory and puts decision making on a sound mathematical basis. Having said this as one reviewer stated. No matter how complex your decision system the human always comes into it and people make decisions based on intuition and feelings.

So this is not a book that doctors should have on their shelves to influence how they prescribe or how they treat patients. But it is a book that should be on every NHS senior administrator's desk to say how and why they should make certain strategic decisions. It should be read by all regulators, everyone in regulatory affairs and everyone in research.

While it does dive into the deep maths of Bayes and complex statistical models it does so in a very visual way, and it is a lot more accessible than the standard decision theory text. But light reading and a simple practical guide it is not. The price of rigor is complexity.
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