Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster session 22

1701P - Cancer premium: Explaining differences in prices for cancer vs non-cancer drugs with efficacy and epidemiological endpoints in the US, Germany, and Switzerland

Date

21 Oct 2023

Session

Poster session 22

Topics

Cancer Epidemiology;  Cancer Prevention

Tumour Site

Presenters

Miquel Serra-Burriel

Citation

Annals of Oncology (2023) 34 (suppl_2): S925-S953. 10.1016/S0923-7534(23)01945-2

Authors

M. Serra-Burriel1, G. Perényi2, Y. Laube2, A. Mitchell3, K.N. Vokinger2

Author affiliations

  • 1 Epidemiology, Biostatistics And Prevention Institute, UZH - University of Zurich - Epidemiology, Biostatistics and Prevention Institute (EBPI), 8001 - Zurich/CH
  • 2 Institute Of Law, University of Zurich, 8091 - Zurich/CH
  • 3 Department Of Oncology, Memorial Sloan Kettering Cancer Center, 10017 - New York/US

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 1701P

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 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 the 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).

Results

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. Our model explained 72% of the variance in observed prices (R2).

Conclusions

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.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

K.N. Vokinger.

Funding

Swiss Cancer Research Foundation, Swiss National Science Foundation.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.