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Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research

BACKGROUND: Cost-effectiveness analysis can guide policymakers in resource allocation decisions. It assesses whether the health gains offered by an intervention are large enough relative to any additional costs to warrant adoption. When there are constraints on the health care system’s budget or abi...

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Autores principales: Woods, Beth, Revill, Paul, Sculpher, Mark, Claxton, Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5193154/
https://www.ncbi.nlm.nih.gov/pubmed/27987642
http://dx.doi.org/10.1016/j.jval.2016.02.017
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author Woods, Beth
Revill, Paul
Sculpher, Mark
Claxton, Karl
author_facet Woods, Beth
Revill, Paul
Sculpher, Mark
Claxton, Karl
author_sort Woods, Beth
collection PubMed
description BACKGROUND: Cost-effectiveness analysis can guide policymakers in resource allocation decisions. It assesses whether the health gains offered by an intervention are large enough relative to any additional costs to warrant adoption. When there are constraints on the health care system’s budget or ability to increase expenditures, additional costs imposed by interventions have an “opportunity cost” in terms of the health foregone because other interventions cannot be provided. Cost-effectiveness thresholds (CETs) are typically used to assess whether an intervention is worthwhile and should reflect health opportunity cost. Nevertheless, CETs used by some decision makers—such as the World Health Organization that suggested CETs of 1 to 3 times the gross domestic product (GDP) per capita—do not. OBJECTIVES: To estimate CETs based on opportunity cost for a wide range of countries. METHODS: We estimated CETs based on recent empirical estimates of opportunity cost (from the English National Health Service), estimates of the relationship between country GDP per capita and the value of a statistical life, and a series of explicit assumptions. RESULTS: CETs for Malawi (the country with the lowest income in the world), Cambodia (with borderline low/low-middle income), El Salvador (with borderline low-middle/upper-middle income), and Kazakhstan (with borderline high-middle/high income) were estimated to be $3 to $116 (1%–51% GDP per capita), $44 to $518 (4%–51%), $422 to $1967 (11%–51%), and $4485 to $8018 (32%–59%), respectively. CONCLUSIONS: To date, opportunity-cost-based CETs for low-/middle-income countries have not been available. Although uncertainty exists in the underlying assumptions, these estimates can provide a useful input to inform resource allocation decisions and suggest that routinely used CETs have been too high.
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spelling pubmed-51931542017-01-04 Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research Woods, Beth Revill, Paul Sculpher, Mark Claxton, Karl Value Health Article BACKGROUND: Cost-effectiveness analysis can guide policymakers in resource allocation decisions. It assesses whether the health gains offered by an intervention are large enough relative to any additional costs to warrant adoption. When there are constraints on the health care system’s budget or ability to increase expenditures, additional costs imposed by interventions have an “opportunity cost” in terms of the health foregone because other interventions cannot be provided. Cost-effectiveness thresholds (CETs) are typically used to assess whether an intervention is worthwhile and should reflect health opportunity cost. Nevertheless, CETs used by some decision makers—such as the World Health Organization that suggested CETs of 1 to 3 times the gross domestic product (GDP) per capita—do not. OBJECTIVES: To estimate CETs based on opportunity cost for a wide range of countries. METHODS: We estimated CETs based on recent empirical estimates of opportunity cost (from the English National Health Service), estimates of the relationship between country GDP per capita and the value of a statistical life, and a series of explicit assumptions. RESULTS: CETs for Malawi (the country with the lowest income in the world), Cambodia (with borderline low/low-middle income), El Salvador (with borderline low-middle/upper-middle income), and Kazakhstan (with borderline high-middle/high income) were estimated to be $3 to $116 (1%–51% GDP per capita), $44 to $518 (4%–51%), $422 to $1967 (11%–51%), and $4485 to $8018 (32%–59%), respectively. CONCLUSIONS: To date, opportunity-cost-based CETs for low-/middle-income countries have not been available. Although uncertainty exists in the underlying assumptions, these estimates can provide a useful input to inform resource allocation decisions and suggest that routinely used CETs have been too high. Elsevier 2016-12 /pmc/articles/PMC5193154/ /pubmed/27987642 http://dx.doi.org/10.1016/j.jval.2016.02.017 Text en © 2016 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
Woods, Beth
Revill, Paul
Sculpher, Mark
Claxton, Karl
Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research
title Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research
title_full Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research
title_fullStr Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research
title_full_unstemmed Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research
title_short Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research
title_sort country-level cost-effectiveness thresholds: initial estimates and the need for further research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5193154/
https://www.ncbi.nlm.nih.gov/pubmed/27987642
http://dx.doi.org/10.1016/j.jval.2016.02.017
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