Abstract 1547P
Background
Approval enables market entry of new drugs, however, reimbursement determines patients’ access at large, especially high-priced cancer drugs. Our objective was to analyze time from approval to reimbursement of new cancer vs non-cancer drugs in the US, England, France, Germany, and Switzerland.
Methods
We identified all new drugs approved in the US, the EU and Switzerland between 2011 and 2022 based on publicly available databases (FDA, EMA, MHRA, and Swissmedic). Reimbursement information was extracted until December 2023 for each country (focus on Medicare for the US). We used descriptive statistics (means, medians, and IQRs), and Kaplan-Meier estimators to describe time from approval to reimbursement.
Results
290 drugs were approved by all regulatory bodies. 93 (32%) were cancer, and 197 (68%) non-cancer drugs. Median time until reimbursement was fastest in Switzerland with 5.78 months (95%CI[4.50-7.03]), followed by 7.43 months (95%CI[7.20-7.57]) in Germany, 9.18 months (95%CI[8.33-10.07]) in the US, 12.90 months (95%CI[10.57-15.37]) in France, and 17.7 months 95%(CI([3.77-24.90]) in England. When comparing cancer drugs vs non-cancer drugs, all countries were faster in reimbursing cancer drugs, with the exception of Switzerland (median time of 7.13 (95%CI([.9-12.8]) months for cancer vs 4.47 (95%CI[3.1-6.3]) months for non-cancer drugs). Median time until reimbursement for cancer drugs vs non-cancer drugs was 8.13 (95%CI[7.57-9.2]) months vs 9.57 (95%CI[8.8-10.63]) months in the US; 14.4 (95%CI[11.43-33.9]) months vs 21.07 (95%CI[13.83-29.37]) months in England; 6.8 (95%CI[6.76-7.0]) months vs 7.87 (95%CI[7.57-8.97]) months in Germany; 7.40 (95%CI[0.17-10.8]) months vs 14.43 (95%CI[13.0-20.5]) months in France.
Conclusions
In most countries, time to reimbursement was faster for cancer than non-cancer drugs despite an increasing number of drugs approved through accelerated pathways, which introduce uncertainties about benefits and risks, challenging reimbursement bodies in their assessment. The findings also indicate that incorporation of an HTA system and drug negotiation process in the US would not result in longer time duration until reimbursement.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Swiss National Science Foundation.
Disclosure
M. Serra-Burriel: Financial Interests, Funding: EU Horizon. S. Dusetzina: Non-Financial Interests, Advisory Role: Midwest Comparative Effectiveness Advisory Council for the Institute for Clinical and Economic Review (ICER). K.N. Vokinger: Financial Interests, Funding: Swiss National Science Foundation (SNSF). All other authors have declared no conflicts of interest.
Resources from the same session
1199P - Developing and systematically validating homologous recombination repair gene detection method based on next-generation sequencing
Presenter: Yi Sun
Session: Poster session 10
1200P - Investigation of multiphoton microscopy as an innovative tool for intraoperative section-free histologic investigations in just a few minutes
Presenter: Martí Homs Soler
Session: Poster session 10
1201P - Novel deep learning model and validation of whole slide images in lung cancer diagnosis
Presenter: Alhassan Ahmed
Session: Poster session 10
Resources:
Abstract
1202P - A deep learning approach using routine pathology images to guide precision medicine in metastatic CRC
Presenter: Chaitanya Parmar
Session: Poster session 10
1203P - Analytical evaluation of whole genome sequencing for acute myeloid leukemia
Presenter: Guidantonio Malagoli Tagliazucchi
Session: Poster session 10
1204P - Real-world utility of whole genome sequencing for patients with cancer: Evaluation of a regional implementation of the 100,000 genomes project
Presenter: Helen Robbins
Session: Poster session 10
1205P - A retrospective machine learning-based analysis of nationwide cancer CGP data across cancer types to identify features associated with recommendation of mutation-based therapy
Presenter: Hiroaki Ikushima
Session: Poster session 10
1478P - Dual single-nucleotide polymorphism biomarker combination to select opioid for cancer pain management
Presenter: Yoshihiko Fujita
Session: Poster session 10
1479P - Use of rescue opioids and pain control after ketamine initiation in refractory cancer pain: A multicentric observational study
Presenter: Pablo Gallardo Melo
Session: Poster session 10
1480P - Long term therapy with denosumab and zoledronic acid: A comparative real-world retrospective observational study on skeletal-related events and pain in patients with metastatic breast cancer
Presenter: Giacomo Massa
Session: Poster session 10