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The cancer premium – explaining differences in prices for cancer vs non-cancer drugs with efficacy and epidemiological endpoints in the US, Germany, and Switzerland: a cross sectional study

BACKGROUND: High treatment prices of new cancer drugs are a global public health challenge to patients and healthcare systems. Policymakers in the US and Europe are debating reforms to drug pricing. The objective of this study was to assess whether drug efficacy or epidemiological characteristics (p...

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Autores principales: Serra-Burriel, Miquel, Perényi, Gellért, Laube, Yannic, Mitchell, Aaron P., Vokinger, Kerstin N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371812/
https://www.ncbi.nlm.nih.gov/pubmed/37521033
http://dx.doi.org/10.1016/j.eclinm.2023.102087
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author Serra-Burriel, Miquel
Perényi, Gellért
Laube, Yannic
Mitchell, Aaron P.
Vokinger, Kerstin N.
author_facet Serra-Burriel, Miquel
Perényi, Gellért
Laube, Yannic
Mitchell, Aaron P.
Vokinger, Kerstin N.
author_sort Serra-Burriel, Miquel
collection PubMed
description BACKGROUND: High treatment prices of new cancer drugs are a global public health challenge to patients and healthcare systems. Policymakers in the US and Europe are debating reforms to drug pricing. The objective of this study was to assess whether drug efficacy or epidemiological characteristics (prevalence, incidence, mortality) explain the gap in treatment prices between cancer and non-cancer drugs in the US, Germany, and Switzerland. METHODS: This cross-sectional study identified all new drugs approved in the US, Germany, and Switzerland between 2011 and 2020. Drug efficacy was extracted from pivotal trials, drug prices from public and commercial databases, and epidemiological characteristics from the Global Burden of Disease (GBD) 2019 study. We used regression models to explain drug prices with drug efficacy and epidemiological characteristics (prevalence, incidence, mortality). FINDINGS: The cohort included 181 drugs, including 68 (37.5%) drugs approved for treatment of cancer. A significant negative correlation was found between incidence/prevalence and treatment prices, and a significant positive correlation was observed between mortality and treatment prices for both, cancer and non-cancer drugs. A significant association between relative drug efficacy and treatment prices of drugs was observed, however, less pronounced for cancer drugs. Our regression estimates indicated that after adjusting for efficacy and epidemiological characteristics, cancer drugs were on average approximately three times more expensive compared to non-cancer drugs in all three countries, indicating a cancer premium; i.e., treatment prices of cancer drugs were on average USD 74,412 (95% CI [62,810; 86,015]) more expensive in the US compared to non-cancer drugs, USD 37,770 (95% CI [26,175; 49,367]) more expensive in Germany, and USD 32,801 (95% CI [27,048; 38,555]) more expensive in Switzerland. Our model explained 72% of the variance in observed prices (R(2)). INTERPRETATION: Drug pricing reforms should target the cancer premium to improve access of patients to cancer drugs as well as to achieve equity across the different therapeutic areas and sustainability in the health care systems. FUNDING: This study was funded by the 10.13039/100000001Swiss National Science Foundation (SNSF, grant number PCEGP1_194607) and the 10.13039/501100013362Swiss Cancer Research Foundation (Krebsforschung Schweiz).
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spelling pubmed-103718122023-07-28 The cancer premium – explaining differences in prices for cancer vs non-cancer drugs with efficacy and epidemiological endpoints in the US, Germany, and Switzerland: a cross sectional study Serra-Burriel, Miquel Perényi, Gellért Laube, Yannic Mitchell, Aaron P. Vokinger, Kerstin N. eClinicalMedicine Articles BACKGROUND: High treatment prices of new cancer drugs are a global public health challenge to patients and healthcare systems. Policymakers in the US and Europe are debating reforms to drug pricing. The objective of this study was to assess whether drug efficacy or epidemiological characteristics (prevalence, incidence, mortality) explain the gap in treatment prices between cancer and non-cancer drugs in the US, Germany, and Switzerland. METHODS: This cross-sectional study identified all new drugs approved in the US, Germany, and Switzerland between 2011 and 2020. Drug efficacy was extracted from pivotal trials, drug prices from public and commercial databases, and epidemiological characteristics from the Global Burden of Disease (GBD) 2019 study. We used regression models to explain drug prices with drug efficacy and epidemiological characteristics (prevalence, incidence, mortality). FINDINGS: The cohort included 181 drugs, including 68 (37.5%) drugs approved for treatment of cancer. A significant negative correlation was found between incidence/prevalence and treatment prices, and a significant positive correlation was observed between mortality and treatment prices for both, cancer and non-cancer drugs. A significant association between relative drug efficacy and treatment prices of drugs was observed, however, less pronounced for cancer drugs. Our regression estimates indicated that after adjusting for efficacy and epidemiological characteristics, cancer drugs were on average approximately three times more expensive compared to non-cancer drugs in all three countries, indicating a cancer premium; i.e., treatment prices of cancer drugs were on average USD 74,412 (95% CI [62,810; 86,015]) more expensive in the US compared to non-cancer drugs, USD 37,770 (95% CI [26,175; 49,367]) more expensive in Germany, and USD 32,801 (95% CI [27,048; 38,555]) more expensive in Switzerland. Our model explained 72% of the variance in observed prices (R(2)). INTERPRETATION: Drug pricing reforms should target the cancer premium to improve access of patients to cancer drugs as well as to achieve equity across the different therapeutic areas and sustainability in the health care systems. FUNDING: This study was funded by the 10.13039/100000001Swiss National Science Foundation (SNSF, grant number PCEGP1_194607) and the 10.13039/501100013362Swiss Cancer Research Foundation (Krebsforschung Schweiz). Elsevier 2023-07-13 /pmc/articles/PMC10371812/ /pubmed/37521033 http://dx.doi.org/10.1016/j.eclinm.2023.102087 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Serra-Burriel, Miquel
Perényi, Gellért
Laube, Yannic
Mitchell, Aaron P.
Vokinger, Kerstin N.
The cancer premium – explaining differences in prices for cancer vs non-cancer drugs with efficacy and epidemiological endpoints in the US, Germany, and Switzerland: a cross sectional study
title The cancer premium – explaining differences in prices for cancer vs non-cancer drugs with efficacy and epidemiological endpoints in the US, Germany, and Switzerland: a cross sectional study
title_full The cancer premium – explaining differences in prices for cancer vs non-cancer drugs with efficacy and epidemiological endpoints in the US, Germany, and Switzerland: a cross sectional study
title_fullStr The cancer premium – explaining differences in prices for cancer vs non-cancer drugs with efficacy and epidemiological endpoints in the US, Germany, and Switzerland: a cross sectional study
title_full_unstemmed The cancer premium – explaining differences in prices for cancer vs non-cancer drugs with efficacy and epidemiological endpoints in the US, Germany, and Switzerland: a cross sectional study
title_short The cancer premium – explaining differences in prices for cancer vs non-cancer drugs with efficacy and epidemiological endpoints in the US, Germany, and Switzerland: a cross sectional study
title_sort cancer premium – explaining differences in prices for cancer vs non-cancer drugs with efficacy and epidemiological endpoints in the us, germany, and switzerland: a cross sectional study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371812/
https://www.ncbi.nlm.nih.gov/pubmed/37521033
http://dx.doi.org/10.1016/j.eclinm.2023.102087
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