Cost-Effectiveness of Nivolumab Plus Ipilimumab in Gastro-Oesophageal Cancer in Japan
Author(s)
Fukuda T1, Morimoto K2, Maeda T2, Chen W2, Moriwaki K3, Shimozuma K2
1Ritsumeikan University, Kusatsu, Japan, 2Ritsumeikan University, Kyoto-shi, 26, Japan, 3Ritsumeikan University, Kyoto, 26, Japan
OBJECTIVES: The purpose of this study was to assess the cost-effectiveness of Nivolumab (NIV) plus Ipilimumab (IPI) combination treatment compared to chemotherapy alone.
METHODS: A partitioned survival analysis model was developed to predict costs and quality-adjusted life years (QALYs) in NIV+IPI and chemotherapy. Direct medical costs were considered from the perspective of the Japanese healthcare system. Lifetime horizon and annual discount rate of 2% was applied. The data on over survival and progression-free survival was derived from CheckMate 649. Cost parameters were estimated by using the JMDC claims database in Japan. Utility weights were referred from published studies. The incremental cost-effectiveness ratio (ICER) of NIV+IPI was estimated. Sensitivity analyses were performed to assess heterogeneity and parameter uncertainty.
RESULTS: In comparison with chemotherapy, costs of NIV+IPI increased JPY14,845,176, and QALYs increased 0.217. This resulted in the ICER of JPY68,435,573/QALY. Settings on utility weights had relatively strong influence on the ICER, with JPY3,701,344/QALY in the best case and “Dominated” in the worst case. In the patients with PD-L1 CPS≧5, the ICER decreased to JPY56,672,649/QALY. However, the probability that NIV+IPI became cost-effective was estimated to be 0%, assuming the willingness to pay threshold of JPY15 million/QALY.
CONCLUSIONS: Applying the threshold of JPY15 million/QALY, NIV+IPI treatment was not cost-effective. Further research on utility weights in the Japanese population and more valid biomarkers is needed for more refined analysis.
Conference/Value in Health Info
Value in Health, Volume 26, Issue 6, S2 (June 2023)
Code
EE164
Topic
Economic Evaluation, Organizational Practices, Real World Data & Information Systems, Study Approaches
Topic Subcategory
Cost-comparison, Effectiveness, Utility, Benefit Analysis, Decision Modeling & Simulation, Health & Insurance Records Systems
Disease
Oncology