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Distributional consequences of including survivor costs in economic evaluations
Medical interventions that increase life expectancy of patients result in additional consumption of non‐medical goods and services in ‘added life years’. This paper focuses on the distributional consequences across socio‐economic groups of including these costs in cost effectiveness analysis. In tha...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292358/ https://www.ncbi.nlm.nih.gov/pubmed/34331343 http://dx.doi.org/10.1002/hec.4401 |
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author | Kellerborg, Klas Brouwer, Werner Versteegh, Matthijs Wouterse, Bram van Baal, Pieter |
author_facet | Kellerborg, Klas Brouwer, Werner Versteegh, Matthijs Wouterse, Bram van Baal, Pieter |
author_sort | Kellerborg, Klas |
collection | PubMed |
description | Medical interventions that increase life expectancy of patients result in additional consumption of non‐medical goods and services in ‘added life years’. This paper focuses on the distributional consequences across socio‐economic groups of including these costs in cost effectiveness analysis. In that context, it also highlights the role of remaining quality of life and household economies of scale. Data from a Dutch household spending survey was used to estimate non‐medical consumption and household size by age and educational attainment. Estimates of non‐medical consumption and household size were combined with life tables to estimate what the impact of including non‐medical survivor costs would be on the incremental cost effectiveness ratio (ICER) of preventing a death at a certain age. Results show that including non‐medical survivor costs increases estimated ICERs most strongly when interventions are targeted at the higher educated. Adjusting for household size (lower educated people less often live additional life years in multi‐person households) and quality of life (lower educated people on average spend added life years in poorer health) mitigates this difference. Ignoring costs of non‐medical consumption in economic evaluations implicitly favors interventions targeted at the higher educated and thus potentially amplifies socio‐economic inequalities in health. |
format | Online Article Text |
id | pubmed-9292358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92923582022-07-20 Distributional consequences of including survivor costs in economic evaluations Kellerborg, Klas Brouwer, Werner Versteegh, Matthijs Wouterse, Bram van Baal, Pieter Health Econ Health Economics Letters Medical interventions that increase life expectancy of patients result in additional consumption of non‐medical goods and services in ‘added life years’. This paper focuses on the distributional consequences across socio‐economic groups of including these costs in cost effectiveness analysis. In that context, it also highlights the role of remaining quality of life and household economies of scale. Data from a Dutch household spending survey was used to estimate non‐medical consumption and household size by age and educational attainment. Estimates of non‐medical consumption and household size were combined with life tables to estimate what the impact of including non‐medical survivor costs would be on the incremental cost effectiveness ratio (ICER) of preventing a death at a certain age. Results show that including non‐medical survivor costs increases estimated ICERs most strongly when interventions are targeted at the higher educated. Adjusting for household size (lower educated people less often live additional life years in multi‐person households) and quality of life (lower educated people on average spend added life years in poorer health) mitigates this difference. Ignoring costs of non‐medical consumption in economic evaluations implicitly favors interventions targeted at the higher educated and thus potentially amplifies socio‐economic inequalities in health. John Wiley and Sons Inc. 2021-07-30 2021-09 /pmc/articles/PMC9292358/ /pubmed/34331343 http://dx.doi.org/10.1002/hec.4401 Text en © 2021 The Authors. Health Economics published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Health Economics Letters Kellerborg, Klas Brouwer, Werner Versteegh, Matthijs Wouterse, Bram van Baal, Pieter Distributional consequences of including survivor costs in economic evaluations |
title | Distributional consequences of including survivor costs in economic evaluations |
title_full | Distributional consequences of including survivor costs in economic evaluations |
title_fullStr | Distributional consequences of including survivor costs in economic evaluations |
title_full_unstemmed | Distributional consequences of including survivor costs in economic evaluations |
title_short | Distributional consequences of including survivor costs in economic evaluations |
title_sort | distributional consequences of including survivor costs in economic evaluations |
topic | Health Economics Letters |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292358/ https://www.ncbi.nlm.nih.gov/pubmed/34331343 http://dx.doi.org/10.1002/hec.4401 |
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