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Using Cost-Effectiveness Analysis to Address Health Equity Concerns
This articles serves as a guide to using cost-effectiveness analysis (CEA) to address health equity concerns. We first introduce the "equity impact plane," a tool for considering trade-offs between improving total health—the objective underpinning conventional CEA—and equity objectives, su...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5340318/ https://www.ncbi.nlm.nih.gov/pubmed/28237196 http://dx.doi.org/10.1016/j.jval.2016.11.027 |
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author | Cookson, Richard Mirelman, Andrew J. Griffin, Susan Asaria, Miqdad Dawkins, Bryony Norheim, Ole Frithjof Verguet, Stéphane J. Culyer, Anthony |
author_facet | Cookson, Richard Mirelman, Andrew J. Griffin, Susan Asaria, Miqdad Dawkins, Bryony Norheim, Ole Frithjof Verguet, Stéphane J. Culyer, Anthony |
author_sort | Cookson, Richard |
collection | PubMed |
description | This articles serves as a guide to using cost-effectiveness analysis (CEA) to address health equity concerns. We first introduce the "equity impact plane," a tool for considering trade-offs between improving total health—the objective underpinning conventional CEA—and equity objectives, such as reducing social inequality in health or prioritizing the severely ill. Improving total health may clash with reducing social inequality in health, for example, when effective delivery of services to disadvantaged communities requires additional costs. Who gains and who loses from a cost-increasing health program depends on differences among people in terms of health risks, uptake, quality, adherence, capacity to benefit, and—crucially—who bears the opportunity costs of diverting scarce resources from other uses. We describe two main ways of using CEA to address health equity concerns: 1) equity impact analysis, which quantifies the distribution of costs and effects by equity-relevant variables, such as socioeconomic status, location, ethnicity, sex, and severity of illness; and 2) equity trade-off analysis, which quantifies trade-offs between improving total health and other equity objectives. One way to analyze equity trade-offs is to count the cost of fairer but less cost-effective options in terms of health forgone. Another method is to explore how much concern for equity is required to choose fairer but less cost-effective options using equity weights or parameters. We hope this article will help the health technology assessment community navigate the practical options now available for conducting equity-informative CEA that gives policymakers a better understanding of equity impacts and trade-offs. |
format | Online Article Text |
id | pubmed-5340318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-53403182017-03-13 Using Cost-Effectiveness Analysis to Address Health Equity Concerns Cookson, Richard Mirelman, Andrew J. Griffin, Susan Asaria, Miqdad Dawkins, Bryony Norheim, Ole Frithjof Verguet, Stéphane J. Culyer, Anthony Value Health Article This articles serves as a guide to using cost-effectiveness analysis (CEA) to address health equity concerns. We first introduce the "equity impact plane," a tool for considering trade-offs between improving total health—the objective underpinning conventional CEA—and equity objectives, such as reducing social inequality in health or prioritizing the severely ill. Improving total health may clash with reducing social inequality in health, for example, when effective delivery of services to disadvantaged communities requires additional costs. Who gains and who loses from a cost-increasing health program depends on differences among people in terms of health risks, uptake, quality, adherence, capacity to benefit, and—crucially—who bears the opportunity costs of diverting scarce resources from other uses. We describe two main ways of using CEA to address health equity concerns: 1) equity impact analysis, which quantifies the distribution of costs and effects by equity-relevant variables, such as socioeconomic status, location, ethnicity, sex, and severity of illness; and 2) equity trade-off analysis, which quantifies trade-offs between improving total health and other equity objectives. One way to analyze equity trade-offs is to count the cost of fairer but less cost-effective options in terms of health forgone. Another method is to explore how much concern for equity is required to choose fairer but less cost-effective options using equity weights or parameters. We hope this article will help the health technology assessment community navigate the practical options now available for conducting equity-informative CEA that gives policymakers a better understanding of equity impacts and trade-offs. Elsevier 2017-02 /pmc/articles/PMC5340318/ /pubmed/28237196 http://dx.doi.org/10.1016/j.jval.2016.11.027 Text en © 2017 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Elsevier Inc. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cookson, Richard Mirelman, Andrew J. Griffin, Susan Asaria, Miqdad Dawkins, Bryony Norheim, Ole Frithjof Verguet, Stéphane J. Culyer, Anthony Using Cost-Effectiveness Analysis to Address Health Equity Concerns |
title | Using Cost-Effectiveness Analysis to Address Health Equity Concerns |
title_full | Using Cost-Effectiveness Analysis to Address Health Equity Concerns |
title_fullStr | Using Cost-Effectiveness Analysis to Address Health Equity Concerns |
title_full_unstemmed | Using Cost-Effectiveness Analysis to Address Health Equity Concerns |
title_short | Using Cost-Effectiveness Analysis to Address Health Equity Concerns |
title_sort | using cost-effectiveness analysis to address health equity concerns |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5340318/ https://www.ncbi.nlm.nih.gov/pubmed/28237196 http://dx.doi.org/10.1016/j.jval.2016.11.027 |
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