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Evaluating process utilities for the treatment burden of chemotherapy in multiple myeloma in Japan: a time trade-off valuation study.

Authors :
Ishida, Tadao
Nakakoji, Mayuko
Murata, Tatsunori
Matsuyama, Fujio
Iida, Shinsuke
Source :
Journal of Medical Economics; Jan-Dec2023, Vol. 26 Issue 1, p565-573, 9p
Publication Year :
2023

Abstract

This study estimated the "process utilities" of treatment options for patients with relapsed/refractory multiple myeloma (RRMM) in Japan using the time trade-off (TTO) method. Chimeric antigen receptor (CAR) T cell immunotherapy is available for patients with RRMM who are triple-class exposed (TCE) after treatment with immunomodulatory agents, proteasome inhibitors, and anti-CD38 monoclonal antibodies. However, the impact of available treatment options on health state utilities has not been well characterized, particularly in relation to process utilities. Eight vignettes of health states and daily activity restrictions related to each of the following RRMM therapies were prepared: no treatment, CAR T cell therapy with idecabtagene vicleucel (ide-cel), regular intravenous infusion, and oral administration. A face-to-face survey of healthy Japanese adults who were representative of the general population was conducted. The TTO method was used to evaluate each vignette and to generate utility scores for each treatment regimen. Three hundred and nineteen respondents participated in the survey (mean age: 44 years [range: 20–64]; female: 50%). Utility scores for no treatment, ide-cel, oral pomalidomide, and dexamethasone (Pd) therapy ranged from ∼0.7 to 0.8. Utility scores for regular intravenous infusion regimens ranged from 0.50 to 0.56. There was a difference of ∼0.2 between the utility scores for no treatment/ide-cel/oral administration and regular intravenous infusions. Differences in treatment administration across RRMM therapies showed a substantial impact on health state utilities. When quantifying the value of treatments, process utility gains should be considered as an independent factor in health technology assessments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13696998
Volume :
26
Issue :
1
Database :
Complementary Index
Journal :
Journal of Medical Economics
Publication Type :
Academic Journal
Accession number :
174083498
Full Text :
https://doi.org/10.1080/13696998.2023.2197811