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Health Inequalities: To What Extent are Decision-Makers and Economic Evaluations on the Same Page? An English Case Study
Economic evaluations have increasingly sought to understand how funding decisions within care sectors impact health inequalities. However, there is a disconnect between the methods used by researchers (e.g., within universities) and analysts (e.g., within publicly funded commissioning agencies), com...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596586/ https://www.ncbi.nlm.nih.gov/pubmed/35767187 http://dx.doi.org/10.1007/s40258-022-00739-8 |
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author | Hinde, Sebastian Howdon, Dan Lomas, James Franklin, Matthew |
author_facet | Hinde, Sebastian Howdon, Dan Lomas, James Franklin, Matthew |
author_sort | Hinde, Sebastian |
collection | PubMed |
description | Economic evaluations have increasingly sought to understand how funding decisions within care sectors impact health inequalities. However, there is a disconnect between the methods used by researchers (e.g., within universities) and analysts (e.g., within publicly funded commissioning agencies), compared to evidence needs of decision makers in regard to how health inequalities are accounted for and presented. Our objective is to explore how health inequality is defined and quantified in different contexts. We focus on how specific approaches have developed, what similarities and differences have emerged, and consider how disconnects can be bridged. We explore existing methodological research regarding the incorporation of inequality considerations into economic evaluation in order to understand current best practice. In parallel, we explore how localised decision makers incorporate inequality considerations into their commissioning processes. We use the English care setting as a case study, from which we make inference as how local commissioning has evolved internationally. We summarise the recent development of distributional cost-effectiveness analysis in the economic evaluation literature: a method that makes explicit the trade-off between efficiency and equity. In the parallel decision-making setting, while the alleviation of health inequality is regularly the focus of remits, few details have been formalised regarding its definition or quantification. While data development has facilitated the reporting and comparison of metrics of inequality to inform commissioning decisions, these tend to focus on measures of care utilisation and behaviour rather than measures of health. While both researchers and publicly funded commissioning agencies are increasingly putting the identification of health inequalities at the core of their actions, little consideration has been given to ensuring that they are approaching the problem in a consistent way. The extent to which researchers and commissioning agencies can collaborate on best practice has important implications for how successful policy is in addressing health inequalities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40258-022-00739-8. |
format | Online Article Text |
id | pubmed-9596586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-95965862022-10-27 Health Inequalities: To What Extent are Decision-Makers and Economic Evaluations on the Same Page? An English Case Study Hinde, Sebastian Howdon, Dan Lomas, James Franklin, Matthew Appl Health Econ Health Policy Current Opinion Economic evaluations have increasingly sought to understand how funding decisions within care sectors impact health inequalities. However, there is a disconnect between the methods used by researchers (e.g., within universities) and analysts (e.g., within publicly funded commissioning agencies), compared to evidence needs of decision makers in regard to how health inequalities are accounted for and presented. Our objective is to explore how health inequality is defined and quantified in different contexts. We focus on how specific approaches have developed, what similarities and differences have emerged, and consider how disconnects can be bridged. We explore existing methodological research regarding the incorporation of inequality considerations into economic evaluation in order to understand current best practice. In parallel, we explore how localised decision makers incorporate inequality considerations into their commissioning processes. We use the English care setting as a case study, from which we make inference as how local commissioning has evolved internationally. We summarise the recent development of distributional cost-effectiveness analysis in the economic evaluation literature: a method that makes explicit the trade-off between efficiency and equity. In the parallel decision-making setting, while the alleviation of health inequality is regularly the focus of remits, few details have been formalised regarding its definition or quantification. While data development has facilitated the reporting and comparison of metrics of inequality to inform commissioning decisions, these tend to focus on measures of care utilisation and behaviour rather than measures of health. While both researchers and publicly funded commissioning agencies are increasingly putting the identification of health inequalities at the core of their actions, little consideration has been given to ensuring that they are approaching the problem in a consistent way. The extent to which researchers and commissioning agencies can collaborate on best practice has important implications for how successful policy is in addressing health inequalities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40258-022-00739-8. Springer International Publishing 2022-06-29 2022 /pmc/articles/PMC9596586/ /pubmed/35767187 http://dx.doi.org/10.1007/s40258-022-00739-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Current Opinion Hinde, Sebastian Howdon, Dan Lomas, James Franklin, Matthew Health Inequalities: To What Extent are Decision-Makers and Economic Evaluations on the Same Page? An English Case Study |
title | Health Inequalities: To What Extent are Decision-Makers and Economic Evaluations on the Same Page? An English Case Study |
title_full | Health Inequalities: To What Extent are Decision-Makers and Economic Evaluations on the Same Page? An English Case Study |
title_fullStr | Health Inequalities: To What Extent are Decision-Makers and Economic Evaluations on the Same Page? An English Case Study |
title_full_unstemmed | Health Inequalities: To What Extent are Decision-Makers and Economic Evaluations on the Same Page? An English Case Study |
title_short | Health Inequalities: To What Extent are Decision-Makers and Economic Evaluations on the Same Page? An English Case Study |
title_sort | health inequalities: to what extent are decision-makers and economic evaluations on the same page? an english case study |
topic | Current Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596586/ https://www.ncbi.nlm.nih.gov/pubmed/35767187 http://dx.doi.org/10.1007/s40258-022-00739-8 |
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