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Estimating Social Variation in the Health Effects of Changes in Health Care Expenditure

Background. A common aim of health expenditure is to reduce unfair inequalities in health. Although previous research has attempted to estimate the total health effects of changes in health expenditure, little is known about how changes affect different groups in the population. Methods. We propose...

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Autores principales: Love-Koh, James, Cookson, Richard, Claxton, Karl, Griffin, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430104/
https://www.ncbi.nlm.nih.gov/pubmed/32065026
http://dx.doi.org/10.1177/0272989X20904360
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author Love-Koh, James
Cookson, Richard
Claxton, Karl
Griffin, Susan
author_facet Love-Koh, James
Cookson, Richard
Claxton, Karl
Griffin, Susan
author_sort Love-Koh, James
collection PubMed
description Background. A common aim of health expenditure is to reduce unfair inequalities in health. Although previous research has attempted to estimate the total health effects of changes in health expenditure, little is known about how changes affect different groups in the population. Methods. We propose a general framework for disaggregating the total health effects of changes in health expenditure by social groups. This can be performed indirectly when the estimate of the total health effect has first been disaggregated by a secondary factor (e.g., disease area) that can be linked to social characteristics. This is illustrated with an application to the English National Health Service. Evidence on the health effects of expenditure across 23 disease areas is combined with data on the distribution of disease-specific hospital utilization by age, sex, and area-level deprivation. Results. We find that the health effects from NHS expenditure changes are produced largely through disease areas in which individuals from more deprived areas account for a large share of health care utilization, namely, respiratory and neurologic disease and mental health. We estimate that 26% of the total health effect from a change in expenditure would accrue to the fifth of the population living in the most deprived areas, compared with 14% to the fifth living in the least deprived areas. Conclusions. Our approach can be useful for evaluating the health inequality impacts of changing health budgets or funding alternative health programs. However, it requires robust estimates of how health expenditure affects health outcomes. Our example analysis also relied on strong assumptions about the relationship between health care utilization and health effects across population groups.
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spelling pubmed-74301042020-09-04 Estimating Social Variation in the Health Effects of Changes in Health Care Expenditure Love-Koh, James Cookson, Richard Claxton, Karl Griffin, Susan Med Decis Making Original Articles Background. A common aim of health expenditure is to reduce unfair inequalities in health. Although previous research has attempted to estimate the total health effects of changes in health expenditure, little is known about how changes affect different groups in the population. Methods. We propose a general framework for disaggregating the total health effects of changes in health expenditure by social groups. This can be performed indirectly when the estimate of the total health effect has first been disaggregated by a secondary factor (e.g., disease area) that can be linked to social characteristics. This is illustrated with an application to the English National Health Service. Evidence on the health effects of expenditure across 23 disease areas is combined with data on the distribution of disease-specific hospital utilization by age, sex, and area-level deprivation. Results. We find that the health effects from NHS expenditure changes are produced largely through disease areas in which individuals from more deprived areas account for a large share of health care utilization, namely, respiratory and neurologic disease and mental health. We estimate that 26% of the total health effect from a change in expenditure would accrue to the fifth of the population living in the most deprived areas, compared with 14% to the fifth living in the least deprived areas. Conclusions. Our approach can be useful for evaluating the health inequality impacts of changing health budgets or funding alternative health programs. However, it requires robust estimates of how health expenditure affects health outcomes. Our example analysis also relied on strong assumptions about the relationship between health care utilization and health effects across population groups. SAGE Publications 2020-02-15 2020-02 /pmc/articles/PMC7430104/ /pubmed/32065026 http://dx.doi.org/10.1177/0272989X20904360 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Love-Koh, James
Cookson, Richard
Claxton, Karl
Griffin, Susan
Estimating Social Variation in the Health Effects of Changes in Health Care Expenditure
title Estimating Social Variation in the Health Effects of Changes in Health Care Expenditure
title_full Estimating Social Variation in the Health Effects of Changes in Health Care Expenditure
title_fullStr Estimating Social Variation in the Health Effects of Changes in Health Care Expenditure
title_full_unstemmed Estimating Social Variation in the Health Effects of Changes in Health Care Expenditure
title_short Estimating Social Variation in the Health Effects of Changes in Health Care Expenditure
title_sort estimating social variation in the health effects of changes in health care expenditure
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430104/
https://www.ncbi.nlm.nih.gov/pubmed/32065026
http://dx.doi.org/10.1177/0272989X20904360
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