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Accounting for Nonhealth and Future Costs in Cost-Effectiveness Analysis: Distributional Impacts of a US Cancer Prevention Strategy

OBJECTIVE: To provide up-to-date and comprehensive US data tables to estimate future net resource use, including nonlabor market production, and examine distributional impacts of including nonhealth and future costs in cost-effectiveness results. METHODS: Using a published US cancer prevention simul...

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Autor principal: Kim, David D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189225/
https://www.ncbi.nlm.nih.gov/pubmed/37195368
http://dx.doi.org/10.1007/s40273-023-01275-6
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author Kim, David D.
author_facet Kim, David D.
author_sort Kim, David D.
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description OBJECTIVE: To provide up-to-date and comprehensive US data tables to estimate future net resource use, including nonlabor market production, and examine distributional impacts of including nonhealth and future costs in cost-effectiveness results. METHODS: Using a published US cancer prevention simulation model, the paper evaluated the lifetime cost effectiveness of implementing a 10% excise tax on processed meats across age- and sex-specific population subgroups. The model examined multiple scenarios accounting for cancer-related healthcare expenditure (HCE) only, cancer-related and unrelated background HCE, adding productivity benefits (i.e., patient time, cancer-related productivity loss, and background labor and nonlabor market production), and with nonhealth consumption costs, adjusted for household economies of scale. Additional analyses include using population-average versus age–sex-specific estimates for quantifying production and consumption value, as well as comparing direct model estimation versus postcorrections with Meltzer’s approximation for incorporating future resource use. RESULTS: Accounting for nonhealth and future costs impacted cost-effectiveness results across population subgroups, often leading to changes in “cost-saving” determination. Including nonlabor market production had a noticeable impact on estimating future resource use and reduced the bias toward undervaluing productivity among females and older populations. The use of age–sex-specific estimates resulted in less favorable cost-effectiveness results compared with population-average estimates. Meltzer’s approximation provided reasonable corrections among the middle-aged population for re-engineering cost-effectiveness ratios from a healthcare sector to a societal perspective. CONCLUSION: With updated US data tables, this paper can help researchers conduct a comprehensive value assessment to reflect net resource use (health and nonhealth resource use minus production value) from a societal perspective. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40273-023-01275-6.
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spelling pubmed-101892252023-05-19 Accounting for Nonhealth and Future Costs in Cost-Effectiveness Analysis: Distributional Impacts of a US Cancer Prevention Strategy Kim, David D. Pharmacoeconomics Original Research Article OBJECTIVE: To provide up-to-date and comprehensive US data tables to estimate future net resource use, including nonlabor market production, and examine distributional impacts of including nonhealth and future costs in cost-effectiveness results. METHODS: Using a published US cancer prevention simulation model, the paper evaluated the lifetime cost effectiveness of implementing a 10% excise tax on processed meats across age- and sex-specific population subgroups. The model examined multiple scenarios accounting for cancer-related healthcare expenditure (HCE) only, cancer-related and unrelated background HCE, adding productivity benefits (i.e., patient time, cancer-related productivity loss, and background labor and nonlabor market production), and with nonhealth consumption costs, adjusted for household economies of scale. Additional analyses include using population-average versus age–sex-specific estimates for quantifying production and consumption value, as well as comparing direct model estimation versus postcorrections with Meltzer’s approximation for incorporating future resource use. RESULTS: Accounting for nonhealth and future costs impacted cost-effectiveness results across population subgroups, often leading to changes in “cost-saving” determination. Including nonlabor market production had a noticeable impact on estimating future resource use and reduced the bias toward undervaluing productivity among females and older populations. The use of age–sex-specific estimates resulted in less favorable cost-effectiveness results compared with population-average estimates. Meltzer’s approximation provided reasonable corrections among the middle-aged population for re-engineering cost-effectiveness ratios from a healthcare sector to a societal perspective. CONCLUSION: With updated US data tables, this paper can help researchers conduct a comprehensive value assessment to reflect net resource use (health and nonhealth resource use minus production value) from a societal perspective. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40273-023-01275-6. Springer International Publishing 2023-05-17 /pmc/articles/PMC10189225/ /pubmed/37195368 http://dx.doi.org/10.1007/s40273-023-01275-6 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research Article
Kim, David D.
Accounting for Nonhealth and Future Costs in Cost-Effectiveness Analysis: Distributional Impacts of a US Cancer Prevention Strategy
title Accounting for Nonhealth and Future Costs in Cost-Effectiveness Analysis: Distributional Impacts of a US Cancer Prevention Strategy
title_full Accounting for Nonhealth and Future Costs in Cost-Effectiveness Analysis: Distributional Impacts of a US Cancer Prevention Strategy
title_fullStr Accounting for Nonhealth and Future Costs in Cost-Effectiveness Analysis: Distributional Impacts of a US Cancer Prevention Strategy
title_full_unstemmed Accounting for Nonhealth and Future Costs in Cost-Effectiveness Analysis: Distributional Impacts of a US Cancer Prevention Strategy
title_short Accounting for Nonhealth and Future Costs in Cost-Effectiveness Analysis: Distributional Impacts of a US Cancer Prevention Strategy
title_sort accounting for nonhealth and future costs in cost-effectiveness analysis: distributional impacts of a us cancer prevention strategy
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189225/
https://www.ncbi.nlm.nih.gov/pubmed/37195368
http://dx.doi.org/10.1007/s40273-023-01275-6
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