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When formulating policy recommendations in medicine, the need for a synthesis of information to evaluate effectiveness and costs is irrefutable. This book describes meta-analysis, decision analysis, and cost-effectiveness analysis as conceptually related, quantitative methods for combining information to arrive at a summary conclusion. The information derived from appropriate use of these methods would foster rational decision-making based on systematic use of the information we already have. The book describes how to design and conduct these three types of studies and how to interpret their results. It presents sufficient detail on the practical aspects of the application of the methods so that even a novice could do a simple analysis knowing little more than what is in the book. Even those who do not plan to carry out these types of studies themselves will profit from more detailed knowledge about how such studies are properly done. Policy-makers without direct research experience will learn how better to utilize data from the three types of studies taking into account their limitations, which are discussed fully.
This book investigates the methodology and practical application of meta-analysis, decision analysis, and cost-effectiveness analysis to improve medical policy and clinical decision-making. Diana B. Petitti, an expert in epidemiology and biostatistics, provides a structured framework for synthesizing existing medical data. The text argues that by mastering these quantitative methods, researchers and policy-makers can move beyond anecdotal evidence toward rational, data-driven conclusions that account for both clinical effectiveness and economic costs.
What You Will Find
Experts recognize this work as a foundational text for those entering the fields of health services research and epidemiology. Readers frequently note the clarity of the prose, which makes complex statistical concepts accessible to both novice researchers and policy-makers without extensive technical backgrounds.
Page Count:
256
Publication Date:
1994-03-17
Publisher:
Oxford University Press
ISBN-10:
0195073347
ISBN-13:
9780195073348
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