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Distributional Cost-Effectiveness Analysis
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Distributional Cost-Effectiveness Analysis : Quantifying Health Equity Impacts and Trade-Offs

Book Details

Format Paperback / Softback
ISBN-10 0198838190
ISBN-13 9780198838197
Publisher Oxford University Press
Imprint Oxford University Press
Country of Manufacture GB
Country of Publication GB
Publication Date Sep 30th, 2020
Print length 384 Pages
Weight 588 grams
Dimensions 15.60 x 23.30 x 2.60 cms
Ksh 8,650.00
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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.
Distributional cost-effectiveness analysis aims to help health care and public health organisations make fairer decisions with better outcomes. Whereas standard cost-effectiveness analysis provides information about total costs and effects, distributional cost-effectiveness analysis provides additional information about fairness in the distribution of costs and effects - who gains, who loses, and by how much. It can also provide information about the trade-offs that sometimes occur between efficiency objectives, such as improving total health, and equity objectives, such as reducing unfair inequality in health.This is a practical guide to a flexible suite of economic methods for quantifying the equity consequences of health programmes in high-, middle- and low-income countries. The methods can be tailored and combined in various ways to provide useful information to different decision-makers in different countries with different distributional equity concerns. The handbook is primarily aimed at postgraduate students and analysts specialising in cost-effectiveness analysis but is also accessible to a broader audience of health sector academics, practitioners, managers, policymakers and stakeholders. As well as offering an overview for research commissioners, users, and producers, the book includes systematic technical guidance on how to simulate and evaluate distributions, with accompanying hands-on spreadsheet training exercises, and discussions about how to handle uncertainty about facts and disagreement about values, and the future challenges facing this young and rapidly evolving field of study.

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