Risk Stratification
Risk stratification is a statistical process by which quality of care can be assessed independently of patient case mix. The evaluation of risk-adjusted patient outcome has become an important part of managed care contracting in some markets, and risk-adjusted outcome rates for hospitals are being reported more frequently in the popular press and on the Internet. This book, written by a statistician and two surgeons for a clinical audience, is a practical guide to the process of risk stratification and does not require or assume an extensive mathematical background. It describes the rationale and assumptions for risk stratification, and provides information on evaluating the quality of various published risk-stratification studies. Numerous practical examples using real clinical data help to illustrate risk stratification in health care. The volume also serves as a step-by-step guide to the production and dissemination of risk-adjusted outcome results for local programs.
- Everything needed for the construction of a risk stratification is included in this book
- A practical guide to the process of risk stratification, which uses real clinical data to illuminate the subject
- Includes handy tips and definitions to highlight key points
Reviews & endorsements
"The three authors deserve all credit for this comprehensive book on risk stratification which can be recommended to clinicians as well as statisticians interested in this field. The book is easily readable also for non-statisticians and provides a sound overview on methods and principles." Statistics in Medicine
"...a very good overview on this topic for persons with some experience in clinical research, and a useful guide for those who wish to implement risk stratification techniques in their quality improvement programs." Douglas W. Mapel, Chest
Product details
February 2011Adobe eBook Reader
9780511836626
0 pages
0kg
1 b/w illus. 12 tables
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
- Preface
- Introduction
- 1. Risk
- 2. Collecting data
- 3. Risk and published studies
- 4. Applying published risk estimates to local data
- 5. Interpreting risk models
- 6. Advanced issues
- 7. Appendices
- Index.