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Product Description
Review
(EBM) ... Even though the book titles the word ‘basics' it is fit enough for advanced level of EBM. (Riper Pdic Bulletin, 1December 2011)
"It is an essential read for all occupational health practitioners in training and those participating in a systematic evidence review or the development of evidence-based practice guidelines." (Occupational Medicine, 11 December 2011)
"To some extent forget the "evidence-based medicine" tag; while some chapters are specific to medical research, many others have generic value for any field of research ... This is a useful supplement that will aid anyone new to the assessment game." (Online Information Review, 2011)
"In summary, this book presents with not only some interesting research material itself, but also provides valuable insight into the reading and interpretation of technical and research papers. As a laboratory professional, this text can help to move you from merely a reader to papers to a user of papers. This step can take you to a new level in your laboratory career. Definitely worth the read or at least the scan." (Advance for Medical Laboratory Professionals, 10 October 2011)
"It will be a great tool for students, teachers and others in the world of academia, as well as patients who want to find out more about their condition, and who are new to reading journal papers and other documents which consider evidence-based medicine . . . It is good to see this book in its 4th edition and this reviewer hopes it continues to be revised as it really does provide a basic one-stop shop if you are new to evidence-based medicine." (The Encephalitis Society, 2011)
"Writing for health students and professionals, and anyone wanting to assess the validity of articles, Greenhalgh (primary health care, Queen Mary, U. of London, UK) explains the principles of evidencebased medicine and how to critically evaluate clinical research papers. She details how to evaluate different types of papers, such as papers on drug treatments and simple interventions, diagnostic and screening tests, those that summarize other papers, guidelines, economic analyses, and qualitative research." (Book News, September 2010)Trisha Greenhalgh is a doctor, not a statistician, and she is writing about a topic, Evidence-Based Medicine (EBM) that might appear at first to be irrelevant to us statisticians. It is not irrelevant. Any statistician who works extensively with health care professionals should embrace the EBM movement." (Journal of Biopharmaceutical Statistics , 2011)
"The book does show you how to put your brain into thinking gear and not just absorb information without thinking about it making this an excellent book. If I can react so strongly in this review, then it has to be worth something." (SFCrowsnest.co.uk, July 2010)
Book Description
Changes for the 4th edition
The fourth edition will include two new chapters on important developments in health care research and delivery, but otherwise retains its original style, size, and scope.
- New chapter on quality improvement – describing papers on quality improvement projects using ebm methods; this will extend the readership to non clinical health care professionals working in hospitals and family practice, and to nurse specialists and practice nurses working in this field
- New chapter on complex interventions - how to set up research projects involving both qualitative and quantitative methodology (known as mixed methods)
- Thorough revision and updating of existing chapters and references
- New illustrations – diagrammatic representations of ebm concepts
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The author has been criticized for not often technically describing the statistical tests she refers to. But, this was not the author's purpose. She states right upfront in the preface, if you want to dig deep into the technicalities get Clinical Epidemiology: A Basic Science for Clinical Medicine. The author has conveyed something more important than providing another treaty in statistical epidemiology. Frankly, if you are interested in the various statistical tests, Wikipedia will do just fine. But, what tests to use when and how are very important considerations she addresses with much expertise. What analytical framework and methodology to use in what research situation. How to judge if such research conducted by others used inappropriate frameworks. Those are tough issues often more difficult to handle proficiently than conducting statistical tests.
She provides extensive information on related subjects. Her introduction to Bayesian statistics in chapter seven is really clear. She explains the likelihood ratio in the most straightforward way I have seen yet. Her chapter on economic analysis is surprisingly insightful as she defines all the different types of such analysis. Appendix I consists in a very rich set of checklists for finding, appraising, and implementing [medical] evidence. It is a good reference guide to the entire material within the book. Her chapter on statistics for the non-statisticians is outstanding. She actually teaches you a lot about statistics without going into the math. She even uncovers several traps that many professional statisticians may fall into especially when blinded by economic interests. Her discussion on distinguishing causation from correlation or regression is well thought out.
In summary, this book offers a lot of valuable qualitative information to better interpret quantitative research for both the layperson and the expert alike.
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