[PDF] Evidence Synthesis For Decision Making In Healthcare eBook

Author : Nicky J. Welton
Publisher : John Wiley & Sons
Page : 296 pages
File Size : 12,20 MB
Release : 2012-04-12
Category : Mathematics
ISBN : 111830540X

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In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aims to provide a practical guide to evidence synthesis for the purpose of decision making, starting with a simple single parameter model, where all studies estimate the same quantity (pairwise meta-analysis) and progressing to more complex multi-parameter structures (including meta-regression, mixed treatment comparisons, Markov models of disease progression, and epidemiology models). A comprehensive, coherent framework is adopted and estimated using Bayesian methods. Key features: A coherent approach to evidence synthesis from multiple sources. Focus is given to Bayesian methods for evidence synthesis that can be integrated within cost-effectiveness analyses in a probabilistic framework using Markov Chain Monte Carlo simulation. Provides methods to statistically combine evidence from a range of evidence structures. Emphasizes the importance of model critique and checking for evidence consistency. Presents numerous worked examples, exercises and solutions drawn from a variety of medical disciplines throughout the book. WinBUGS code is provided for all examples. Evidence Synthesis for Decision Making in Healthcare is intended for health economists, decision modelers, statisticians and others involved in evidence synthesis, health technology assessment, and economic evaluation of health technologies.

Author : Nicky J. Welton
Publisher : John Wiley & Sons
Page : 296 pages
File Size : 44,71 MB
Release : 2012-05-29
Category : Mathematics
ISBN : 047006109X

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In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aims to provide a practical guide to evidence synthesis for the purpose of decision making, starting with a simple single parameter model, where all studies estimate the same quantity (pairwise meta-analysis) and progressing to more complex multi-parameter structures (including meta-regression, mixed treatment comparisons, Markov models of disease progression, and epidemiology models). A comprehensive, coherent framework is adopted and estimated using Bayesian methods. Key features: A coherent approach to evidence synthesis from multiple sources. Focus is given to Bayesian methods for evidence synthesis that can be integrated within cost-effectiveness analyses in a probabilistic framework using Markov Chain Monte Carlo simulation. Provides methods to statistically combine evidence from a range of evidence structures. Emphasizes the importance of model critique and checking for evidence consistency. Presents numerous worked examples, exercises and solutions drawn from a variety of medical disciplines throughout the book. WinBUGS code is provided for all examples. Evidence Synthesis for Decision Making in Healthcare is intended for health economists, decision modelers, statisticians and others involved in evidence synthesis, health technology assessment, and economic evaluation of health technologies.

Author : Sofia Dias
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 17,2 MB
Release : 2018-03-19
Category : Mathematics
ISBN : 1118647505

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A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the answers and it is desirable to synthesise evidence from multiple sources, usually randomised controlled trials. This book takes an approach to evidence synthesis that is specifically intended for decision making when there are two or more treatment alternatives being evaluated, and assumes that the purpose of every synthesis is to answer the question "for this pre-identified population of patients, which treatment is 'best'?" A comprehensive, coherent framework for network meta-analysis (mixed treatment comparisons) is adopted and estimated using Bayesian Markov Chain Monte Carlo methods implemented in the freely available software WinBUGS. Each chapter contains worked examples, exercises, solutions and code that may be adapted by readers to apply to their own analyses. This book can be used as an introduction to evidence synthesis and network meta-analysis, its key properties and policy implications. Examples and advanced methods are also presented for the more experienced reader. Methods used throughout this book can be applied consistently: model critique and checking for evidence consistency are emphasised. Methods are based on technical support documents produced for NICE Decision Support Unit, which support the NICE Methods of Technology Appraisal. Code presented is also the basis for the code used by the ISPOR Task Force on Indirect Comparisons. Includes extensive carefully worked examples, with thorough explanations of how to set out data for use in WinBUGS and how to interpret the output. Network Meta-Analysis for Decision Making will be of interest to decision makers, medical statisticians, health economists, and anyone involved in Health Technology Assessment including the pharmaceutical industry.

Author : Thanos Athanasiou
Publisher : Springer Science & Business Media
Page : 337 pages
File Size : 24,2 MB
Release : 2011-02-14
Category : Medical
ISBN : 0857292064

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Evidence Synthesis in Healthcare – a Practical Handbook for Clinicians is the first book to reveal the field of Evidence Synthesis, by combining multiple sources of quantitative/qualitative data to derive the best evidence for use in healthcare. Through the use of clearly explained examples and practical explanations, Evidence Synthesis in Healthcare – a Practical Handbook for Clinicians describes the practical tools, techniques, uses and policy considerations of evidence synthesis techniques in modern healthcare practice.

Author : Ian Shemilt
Publisher : John Wiley & Sons
Page : 216 pages
File Size : 41,3 MB
Release : 2011-09-22
Category : Medical
ISBN : 1444320408

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The need for evidence-based decisions that take account of botheffectiveness and economics is greater now than ever. Using casestudies and illustrative examples throughout the authors describehow the activities and outputs of evidence synthesis, systematicreview, economic analysis and decision-making interact within andacross different spheres of health and social policy and practice. Expanding on the first edition the book now covers approaches toevidence synthesis that combine economics and systematic reviewmethods in the applied fields of social welfare, education andcriminal justice, as well as health care. Written by economists andhealth services researchers closely involved in developingevidence-based policy and practice it showcases currentstate-of-the-art methodology and will be an invaluable read for allpolicy-makers and practitioners using evidence to inform decisions,analysts conducting research to support decisions and studentsdiscovering the need for evidence-based decisions to incorporateeconomic perspectives and evidence.

Author : Institute of Medicine
Publisher : National Academies Press
Page : 267 pages
File Size : 11,35 MB
Release : 2011-07-20
Category : Medical
ISBN : 0309164257

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Healthcare decision makers in search of reliable information that compares health interventions increasingly turn to systematic reviews for the best summary of the evidence. Systematic reviews identify, select, assess, and synthesize the findings of similar but separate studies, and can help clarify what is known and not known about the potential benefits and harms of drugs, devices, and other healthcare services. Systematic reviews can be helpful for clinicians who want to integrate research findings into their daily practices, for patients to make well-informed choices about their own care, for professional medical societies and other organizations that develop clinical practice guidelines. Too often systematic reviews are of uncertain or poor quality. There are no universally accepted standards for developing systematic reviews leading to variability in how conflicts of interest and biases are handled, how evidence is appraised, and the overall scientific rigor of the process. In Finding What Works in Health Care the Institute of Medicine (IOM) recommends 21 standards for developing high-quality systematic reviews of comparative effectiveness research. The standards address the entire systematic review process from the initial steps of formulating the topic and building the review team to producing a detailed final report that synthesizes what the evidence shows and where knowledge gaps remain. Finding What Works in Health Care also proposes a framework for improving the quality of the science underpinning systematic reviews. This book will serve as a vital resource for both sponsors and producers of systematic reviews of comparative effectiveness research.

Author : Glyn Elwyn
Publisher : Oxford University Press
Page : 337 pages
File Size : 19,23 MB
Release : 2016
Category : Medical
ISBN : 019872344X

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Over the past decade health care systems around the world have placed increasing importance on the relationship between patient choice and clinical decision-making. In the years since the publication of the second edition of Shared Decision Making in Health Care, there have been significant new developments in the field, most notably in the US where 'Obamacare' puts shared decision making (SDM) at the centre of the 2009 Affordable Care Act. This new edition explores shared decision making by examining, from practical and theoretical perspectives, what should comprise an effective decision-making process. It also looks at the benefits and potential difficulties that arise when patients and clinicians share health care decisions. Written by leading experts from around the world and utilizing high quality evidence, the book provides an up-to-date reference with real-word context to the topics discussed, and in-depth coverage of the practicalities of implementing and teaching SDM. The breadth of information in Shared Decision Making in Health Care makes it the definitive source of expert knowledge for healthcare policy makers. As health care systems adapt to increasingly collaborative patient-clinician care frameworks, this will also prove a useful guide to SDM for clinicians of all disciplines.

Author : Institute of Medicine
Publisher : National Academies Press
Page : 279 pages
File Size : 23,63 MB
Release : 2008-05-29
Category : Medical
ISBN : 0309113563

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There is currently heightened interest in optimizing health care through the generation of new knowledge on the effectiveness of health care services. The United States must substantially strengthen its capacity for assessing evidence on what is known and not known about "what works" in health care. Even the most sophisticated clinicians and consumers struggle to learn which care is appropriate and under what circumstances. Knowing What Works in Health Care looks at the three fundamental health care issues in the United States-setting priorities for evidence assessment, assessing evidence (systematic review), and developing evidence-based clinical practice guidelines-and how each of these contributes to the end goal of effective, practical health care systems. This book provides an overall vision and roadmap for improving how the nation uses scientific evidence to identify the most effective clinical services. Knowing What Works in Health Care gives private and public sector firms, consumers, health care professionals, benefit administrators, and others the authoritative, independent information required for making essential informed health care decisions.

Author :
Publisher :
Page : 76 pages
File Size : 47,1 MB
Release : 2011
Category : Quantitative research
ISBN : 9781451163865

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"The objective of a systematic review is to summarize the evidence on a specific clinical question using a transparent, a-priori protocol driven approach. This book provides an overview of the fundamental knowledge, principals and processes for the synthesis of quantitative data in reviews of the effectiveness of health care interventions. As such, it is designed for new reviewers, for students and as an introductory text for academics looking for a book on the fundamentals rather than advanced statistical processes."--[source inconnue].