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How stringent should environmental and occupational safety regulations be? How far should Medicaid support go? Should funding for research on Alzheimer's disease be increased? Should more money be spent on programs to discourage smoking? What are appropriate ways to determine damages in wrongful injury or death suits? Toward answering such questions, this volume examines various models of health valuation, including the cost-of-illness, preventive-expenditures, and quality-adjusted-life-year approaches. The authors favor a willingness-to-pay approach grounded in individual preferences.
Valuing Health provides a philosophically sophisticated overview of generic health measurement systems, which clarifies their value commitments and criticizes their dependence on preference surveys to assign values to health states. In it, philosopher Daniel M. Hausman argues that the public value of health states depends on the activity limits and suffering that health states impose.
There are not enough resources in health care systems around the world to fund all technically feasible and potentially beneficial health care interventions. Difficult choices have to be made, and economic evaluation offers a systematic and transparent process for informing such choices. A key component of economic evaluation is how to value the benefits of health care in a way that permits comparison between health care interventions, such as through costs per quality-adjusted life years (QALY). Measuring and Valuing Health Benefits for Economic Evaluation examines the measurement and valuation of health benefits, reviews the explosion of theoretical and empirical work in the field, and explores an area of research that continues to be a major source of debate. It addresses the key questions in the field including: the definition of health, the techniques of valuation, who should provide the values, techniques for modelling health state values, the appropriateness of tools in children and vulnerable groups, cross cultural issues, and the problem of choosing the right instrument. This new edition contains updated empirical examples and practical applications, which help to clarify the readers understanding of real world contexts. It features a glossary containing the common terms used by practitioners, and has been updated to cover new measures of health and wellbeing, such as ICECAP, ASCOT and AQOL. It takes into account new research into the social weighting of a QALY, the rising use of ordinal valuation techniques, use of the internet to collect data, and the use of health state utility values in cost effectiveness models. This is an ideal resource for anyone wishing to gain a specialised understanding of health benefit measurement in economic evaluation, especially those working in the fields of health economics, public sector economics, pharmacoeconomics, health services research, public health, and quality of life research.
This work takes a fresh and contemporary look at the growing interest in the development and application of discrete choice experiments (DCEs) within the field of health economics. The book comprises chapters by highly regarded academics with experience of applying DCEs in the area of health. Thus the book is relevant to post-graduate students and applied researchers with an interest in the use of DCEs for valuing health and health care and has international appeal.
How much should citizens invest in promoting health, and how should resources be allocated to cover the costs? A major contribution to economic approaches to the value of health, this volume brings together classic and up-to-date research by economists and public health experts on theories and measurements of health values, providing useful information for shaping public policy.
In Valuing Health Daniel M. Hausman provides a philosophically sophisticated overview of generic health measurement that suggests improvements in standard methods and proposes a radical alternative. He shows how to avoid relying on surveys and instead evaluate health states directly. Hausman goes on to tackle the deep problems of evaluation, offering an account of fundamental evaluation that does not presuppose the assignment of values to the properties and consequences of alternatives. After discussing the purposes of generic health measurement, Hausman defends a naturalistic concept of health and its relations to measures such as quality-adjusted life-years (QALYs) and disability-adjusted life years (DALYs). In examining current health-measurement systems, Valuing Health clarifies their value commitments and the objections to relying on preference surveys to assign values to health states. Relying on an interpretation of liberal political philosophy, Hausman argues that the public value of health states should be understood in terms of the activity limits and suffering that health states impose. Hausman also addresses the moral conundrums that arise when policy-makers attempt to employ the values of health states to estimate the health benefits of alternative policies and to adopt the most cost-effective. He concludes with a general discussion of the difficulties of combining consequentialist and non-consequentialist moral considerations in policy-making.
Drawing on the work of the Roundtable on Evidence-Based Medicine, the 2007 IOM Annual Meeting assessed some of the rapidly occurring changes in health care related to new diagnostic and treatment tools, emerging genetic insights, the developments in information technology, and healthcare costs, and discussed the need for a stronger focus on evidence to ensure that the promise of scientific discovery and technological innovation is efficiently captured to provide the right care for the right patient at the right time. As new discoveries continue to expand the universe of medical interventions, treatments, and methods of care, the need for a more systematic approach to evidence development and application becomes increasingly critical. Without better information about the effectiveness of different treatment options, the resulting uncertainty can lead to the delivery of services that may be unnecessary, unproven, or even harmful. Improving the evidence-base for medicine holds great potential to increase the quality and efficiency of medical care. The Annual Meeting, held on October 8, 2007, brought together many of the nation's leading authorities on various aspects of the issues - both challenges and opportunities - to present their perspectives and engage in discussion with the IOM membership.
Much applied research takes place as if complex social problems--and evaluations of interventions to address them--can be dealt with in a purely technical way. In contrast, this groundbreaking book offers an alternative approach that incorporates sustained, systematic reflection about researchers' values, what values research promotes, how decisions about what to value are made and by whom, and how judging the value of social interventions takes place. The authors offer practical and conceptual guidance to help researchers engage meaningfully with value conflicts and refine their capacity to engage in deliberative argumentation. Pedagogical features include a detailed evaluation case, "Bridge to Practice" exercises and annotated resources in most chapters, and an end-of-book glossary.
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.
Valuing Health uses the generalized risk-adjusted cost-effectiveness (GRACE) model to demonstrate the economic value of improving the quality of life for individuals with disability or severe illness.