This book provides an introduction to decision analytic cost-effectiveness modelling, giving the theoretical and practical knowledge required to design and implement analyses that meet the methodological standards of health technology assessment organisations. The book guides you through building a decision tree and Markov model and, importantly, shows how the results of cost-effectiveness analyses are interpreted. Given the complex nature of cost-effectiveness modelling and the often unfamiliar language that runs alongside it, we wanted to make this book as accessible as possible whilst still providing a comprehensive, in-depth, practical guide that reflects the state of the art – that includes the most recent developments in cost-effectiveness modelling. Although the nature of cost effectiveness modelling means that some parts are inevitably quite technical, across the 13 chapters we have broken down explanations of theory and methods into bite-sized pieces that you can work through at your own pace; we have provided explanations of terms and methods as we use them. Importantly, the exercises and online workbooks allow you to test your skills and understanding as you go along.

In financially constrained health systems across the world, increasing emphasis is being placed on the ability to demonstrate that health care interventions are not only effective, but also cost-effective. This book deals with decision modelling techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals. Particular emphasis is placed on the importance of the appropriate representation of uncertainty in the evaluative process and the implication this uncertainty has for decision making and the need for future research. This highly practical guide takes the reader through the key principles and approaches of modelling techniques. It begins with the basics of constructing different forms of the model, the population of the model with input parameter estimates, analysis of the results, and progression to the holistic view of models as a valuable tool for informing future research exercises. Case studies and exercises are supported with online templates and solutions. This book will help analysts understand the contribution of decision-analytic modelling to the evaluation of health care programmes. ABOUT THE SERIES: Economic evaluation of health interventions is a growing specialist field, and this series of practical handbooks will tackle, in-depth, topics superficially addressed in more general health economics books. Each volume will include illustrative material, case histories and worked examples to encourage the reader to apply the methods discussed, with supporting material provided online. This series is aimed at health economists in academia, the pharmaceutical industry and the health sector, those on advanced health economics courses, and health researchers in associated fields.

This book provides the reader with a comprehensive set of instructions and examples of how to perform an economic evaluation of a health intervention, focusing solely on cost-effectiveness analysis in healthcare.

In this book the authors explore the state of the art on efficiency measurement in health systems and international experts offer insights into the pitfalls and potential associated with various measurement techniques. The authors show that: - The core idea of efficiency is easy to understand in principle - maximizing valued outputs relative to inputs, but is often difficult to make operational in real-life situations - There have been numerous advances in data collection and availability, as well as innovative methodological approaches that give valuable insights into how efficiently health care is delivered - Our simple analytical framework can facilitate the development and interpretation of efficiency indicators.

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Health inequalities blight lives, generate enormous costs, and exist everywhere. This book is the definitive all-in-one guide for anyone who wishes to learn about, commission, and use distributional cost-effectiveness analysis to promote both equity and efficiency in health and healthcare.

A timely work describing how localized hospital-based health technology assessment (HB-HTA) complements general, ‘arms-length’ HTA agency efforts, and what has been the collective global impact of HB-HTA across the globe. While HB-HTA has gained significant momentum over the past few years, expertise in the field, and information on the operation and organization of HB-HTA, has been scattered. This book serves to bring this information together to inform those who are currently working in the field of HTA at the hospital, regional, national or global level. In addition, this book is intended for decision-makers and policy-makers with a stake in determining the uptake and decommissioning of new and established technologies in the hospital setting. HTA has traditionally been performed at the National/Regional level by HTA Agencies, typically linked to governments. Yet hospitals are the main entry door for most health technologies (HTs). Hospital decision-makers must undertake multiple high stakes investment and disinvestment decisions annually for innovative HTs, usually without adequate information. Despite the existence of arms-length HTA Agencies, inadequate information is available to hospital decision-makers either because relevant HTA reports are not yet released at the time of entry of new technologies to the field, or because even when the report exists, the information contained is insufficient to clarify the contextualized informational needs of hospital decision makers. Therefore, there has recently been a rising trend toward hospital-based HTA units and programs. These units/programs complement the work of National/Regional HTA Agencies by providing the key and relevant evidence needed by hospital decision makers in their specific hospital context, and within required decision-making timelines. The emergence of HB-HTA is creating a comprehensive HTA ecosystem across health care levels, which creates better bridges for knowledge translation through relevance and timeliness.