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.

Distributional cost-effectiveness analysis aims to help healthcare and public health organizations make fairer decisions with better outcomes. It can provide information about equity in the distribution of costs and effects - who gains, who loses, and by how much - and the trade-offs that sometimes occur between equity and efficiency. This is a practical guide to methods for quantifying the equity impacts of health programmes in high, middle, and low-income countries. The methods can be tailored to analyse different equity concerns in different decision making contexts. The handbook provides both hands-on training for postgraduate students and analysts and an accessible guide for academics, practitioners, managers, policymakers, and stakeholders. Part I is an introduction and overview for research commissioners, users, and producers. Parts II and III provide step-by-step guidance on how to simulate and evaluate distributions, with accompanying spreadsheet training exercises. Part IV concludes with discussions about how to handle uncertainty about facts and disagreement about values, and the future challenges facing this growing field. Book jacket.

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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.

Representing the first book on the topic, this work offers the reader an introduction to the Japanese systems for health technology assessment (HTA) officially introduced by the Ministry of Health, Labour and Welfare (MHLW) in 2016. Policy and guidelines are discussed, with the relevant methods and conditions of cost-effectiveness analysis explained alongside. Numerous instructive examples and exercises, ranging from basic to advanced, impart valuable knowledge and insight on the quantitative methods for economic evaluation, which will appeal to both beginners and experts. This guidebook is authored by Japan’s foremost expert in HTA and pharmacoeconomics, with a view to strengthening the reader’s expertise in value-based healthcare and decision-making. The methods presented are essential to informing regulatory, local and patient decisions; as such, the book is equally recommended to industry and government, as well as academia, and anyone with an interest in Japanese HTA.

The book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach. Some relevant theory and introductory concepts are presented using practical examples and two running case studies. The book also describes in detail how to perform health economic evaluations using the R package BCEA (Bayesian Cost-Effectiveness Analysis). BCEA can be used to post-process the results of a Bayesian cost-effectiveness model and perform advanced analyses producing standardised and highly customisable outputs. It presents all the features of the package, including its many functions and their practical application, as well as its user-friendly web interface. The book is a valuable resource for statisticians and practitioners working in the field of health economics wanting to simplify and standardise their workflow, for example in the preparation of dossiers in support of marketing authorisation, or academic and scientific publications.

This volume, developed by the Observatory together with OECD, provides an overall conceptual framework for understanding and applying strategies aimed at improving quality of care. Crucially, it summarizes available evidence on different quality strategies and provides recommendations for their implementation. This book is intended to help policy-makers to understand concepts of quality and to support them to evaluate single strategies and combinations of strategies.