This new edition continues to emphasize the use of data envelopment analysis (DEA) to create optimization-based benchmarks within hospitals, physician group practices, health maintenance organizations, nursing homes and other health care delivery organizations. Suitable for graduate students learning DEA applications in health care as well as for practicing administrators, it is divided into two sections covering methods and applications. Section I considers efficiency evaluations using DEA; returns to scale; weight restricted (multiplier) models; non-oriented or slack-based models, including in this edition two versions of non-controllable variable models and categorical variable models; longitudinal (panel) evaluations and the effectiveness dimension of performance evaluation. A new chapter then looks at new and advanced models of DEA, including super-efficiency, congestion DEA, network DEA, and dynamic network models. Mathematical formulations of various DEA models are placed in end-of-chapter appendices. Section II then looks at health care applications within particular settings, chapter-by-chapter, including hospitals, physician practices, nursing homes and health maintenance organizations (HMOs). Other chapters then explore home health care and home health agencies; dialysis centers, community mental health centers, community-based your services, organ procurement organizations, aging agencies and dental providers; DEA models to evaluate provider performance for specific treatments, including stroke, mechanical ventilation and perioperative services. A new chapter then examines international-country-based applications of DEA in health care in 16 different countries, along with OECD and multi-country studies. Most of the existing chapters in this section were expanded with recent applications. Included with the book is online access to a learning version of DEA Solver software, written by Professor Kaoru Tone, which can solve up to 50 DMUs for various DEA models listed in the User’s Guide at the end of the book.

To accompany the hugely sccessful 'Methods for Economic Evaluation of Health Care Programmes 2e', this book is a thorough and rigourous discussion of the methodological principles and recent advances in the rapidly advancing field of theory and practice of economic evaluation in health care. Written by an internationally acclaimed group of authors, the book provides an in-depth discussion of the latest theoretical advances and gives comprehensive reviews of the available literature. The book covers the main areas of economic evaluation, including the methods for measuring costs and outcomes, the collection of data alongside clinical studies, ways of handling uncertainty, discounting and issues relating to the transferability of economic data. It is an ideal book for those studying economic evaluation on postgraduate or professional courses in health economics or public health.

READ ALL ABOUT IT! David Spiegelhalter has recently joined the ranks of Isaac Newton, Charles Darwin and Stephen Hawking by becoming a fellow of the Royal Society. Originating from the Medical Research Council’s biostatistics unit, David has played a leading role in the Bristol heart surgery and Harold Shipman inquiries. Order a copy of this author’s comprehensive text TODAY! The Bayesian approach involves synthesising data and judgement in order to reach conclusions about unknown quantities and make predictions. Bayesian methods have become increasingly popular in recent years, notably in medical research, and although there are a number of books on Bayesian analysis, few cover clinical trials and biostatistical applications in any detail. Bayesian Approaches to Clinical Trials and Health-Care Evaluation provides a valuable overview of this rapidly evolving field, including basic Bayesian ideas, prior distributions, clinical trials, observational studies, evidence synthesis and cost-effectiveness analysis. Covers a broad array of essential topics, building from the basics to more advanced techniques. Illustrated throughout by detailed case studies and worked examples Includes exercises in all chapters Accessible to anyone with a basic knowledge of statistics Authors are at the forefront of research into Bayesian methods in medical research Accompanied by a Web site featuring data sets and worked examples using Excel and WinBUGS - the most widely used Bayesian modelling package Bayesian Approaches to Clinical Trials and Health-Care Evaluation is suitable for students and researchers in medical statistics, statisticians in the pharmaceutical industry, and anyone involved in conducting clinical trials and assessment of health-care technology.

First Edition Received 100 Points and 5-Star Doody'sReview! This is the only nursing text to facilitate the achievement by Doctor of Nursing Practice graduates (DNPs) s of the highest possible competency in conducting systematic and in-depth evaluations of all aspects of health care. The second edition of this award-winning text keeps pace with the rapidly evolving health care market by presenting a more comprehensive range of evaluation strategies for analyzing quality, safety, and value in health care practice and programs, with an emphasis on conducting, interpreting, and disseminating findings. It includes three new chapters addressing evaluation and outcomes, program evaluation, quality improvement, and reporting and disseminating the results. Based on the best evidence-based practices, the book provides DNPs with in-depth information on the conceptual basis of evaluation, its application as an integral part of contemporary health care delivery, and resources and methodology for evaluation of practice outcomes. It includes a critical examination of the characteristics, sources, and quality of the nature of evidence and presents several different evaluation models including those that focus oneconomic evaluation. The evaluation of organizations, systems, and standards for practice are covered in detail as are the evaluation of populations and health care teams, particularly interdisciplinary collaborative health teams. Also addressed is the process for translating outcomes from evaluation into health care policy, and opportunities for advocacy and leadership. Numerous examples and case studies illustrate concepts. New to the Second Edition: Includes three (3) new chapters that address evaluation and outcomes, program evaluation, quality improvement, and reporting and disseminating the results Explores health care practice determinates related to quality, safety, and value Covers how to lead and participate in comprehensive health care evaluations using best practices in conduct, interpretation and dissemination Includes strategies for evaluating small, medium, and large programs Key Features: Facilitates competency in conducting systematic and in-depth evaluations of all aspects of health care Based on best practices and evidence based practices Offers practical methods and tools used to conduct and implement a QI project Provides numerous examples and case studies Encourages the dissemination of results using a variety of venues, such as formal presentations, posters, and publications

A Classroom-Tested Resource Loaded with Practical Examples from Across the Health Disciplines • A reader-friendly exploration of the key approaches used to conduct health program research and evaluation • Includes an easy-to-understand chapter on Inferential Statistics • Covers ethical and cultural competency issues unique to conducting evaluations • Provides an introduction to systems thinking and its implications • Offers activities and case studies at lay the foundation for understanding all aspects of evaluation • Develops critical thinking skills needed to dissect peer-reviewed publications as well as popular media health claims Instructor Resources: • Instructor's Manual • PowerPoints • Test Bank Student Companion Website Each new copy of the text comes packaged with an access code card that will give your students entry to a comprehensive site with: • Crossword Puzzles • Interactive Flashcards • Glossary • Matching Questions • Web Links

Compelling evidence shows health disparities are the result of inequalities in income, education, limited access to medical care, substandard social environments, and poor economic conditions. This book introduces these social determinants of health (SDOH), discusses how they relate to public health programs, and explains how to design and evaluate interventions bearing them in mind. Arguing that many public health programs fail to be as effective as they could be, because they ignore the underlying causes of health disparities, this important reference gives concrete examples of how evaluations focusing on the social determinants of health can alleviate health inequalities, as well as step-by-step guidance to undertaking them. This resource blends current research, existing data, and participatory evaluation methods. It is designed for teachers, students, practitioners, and policymakers interested in public health programming and evaluation. A Choice Recommended Title

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