Michael F. Drummond - Böcker

The purpose of economic evaluation is to inform decisions intended to improve healthcare. The new edition of Methods for the Economic Evaluation of Health Care Programmes equips the reader with the necessary tools and understanding required to undertake evaluations by providing an outline of key principles and a 'tool kit' based on the authors' own experiences of undertaking economic evaluations.Building on the strength of the previous edition, the accessible writing style ensures the text is key reading for the non-expert reader, as no prior knowledge of economics is required. The book employs a critical appraisal framework, which is useful both to researchers conducting studies and to decision-makers assessing them. Practical examples are provided throughout to aid learning and understanding.The book discusses the analytical and policy challenges that face health systems in seeking to allocate resources efficiently and fairly. New chapters include 'Principles of economic evaluation' and 'Making decisions in healthcare' which introduces the reader to core issues and questions about resource allocation, and provides an understanding of the fundamental principles which guide decision making.A key part of evidence-based decision making is the analysis of all the relevant evidence to make informed decisions and policy. The new chapter 'Identifying, synthesising and analysing evidence' highlights the importance of systematic review, and how and why these methods are used. As methods of analysis continue to develop, the chapter on 'Characterising, reporting and interpreting uncertainty' introduces the reader to recent methods of analysis and why characterizing uncertainty matters for health care decisions.The fourth edition of Methods for the Economic Evaluation of Health Care Programmes has been thoroughly revised and updated, making it essential reading for anyone commissioning, undertaking, or using economic evaluations in health care, including health service professionals, health economists, and health care decision makers.

Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing the resources required. This text takes a proactive, systematic and rational approach to medical decision making. It covers decision trees, Bayesian revision, receiver operating characteristic curves, and cost-effectiveness analysis, as well as advanced topics such as Markov models, microsimulation, probabilistic sensitivity analysis and value of information analysis. It provides an essential resource for trainees and researchers involved in medical decision modelling, evidence-based medicine, clinical epidemiology, comparative effectiveness, public health, health economics, and health technology assessment.