Literature DB >> 34838272

Modeling the Ex Post Real Option Value in Metastatic Melanoma Using Real-World Data.

Woojung Lee1, Meng Li2, William B Wong3, Tu My To3, Louis P Garrison1, David L Veenstra4.   

Abstract

OBJECTIVES: Real option value (ROV) is created when a drug enables a patient to live long enough to benefit from a future innovation. Few studies have quantified ROV in the real world. We aimed to estimate the ex post ROV for ipilimumab in metastatic melanoma using real-world data (RWD).
METHODS: We developed a framework for calculating ROV using RWD, accounting for the health gain in the standard therapy arm and the uptake of future innovations. A Markov model was developed to estimate the quality-adjusted life-years (QALYs) gained with ipilimumab compared with chemotherapy for patients with or without subsequent cancer immunotherapy (CIT). A nationwide electronic health record-derived, deidentified database was used to estimate survival and uptake of CIT.
RESULTS: The incremental QALYs gained for ipilimumab compared with chemotherapy without subsequent CIT were 1.74. With subsequent CIT, the incremental QALYs compared with chemotherapy increased by 0.92, 0.60, 0.33, 0.18, 0.10, and 0.02 when CIT became available 0, 3, 6, 9, 12, and 24 months after the initiation of first-line treatment, respectively. The results were most sensitive to the survival benefit of ipilimumab, the survival benefit of subsequent CIT, and the uptake of CIT.
CONCLUSIONS: This is the first study to estimate ex post ROV using RWD. The ex post ROV was between 1% and 54% of conventional value for patients who received a diagnosis within 2 years before CIT availability. Further studies are needed to understand ROV in other disease areas, particularly those with longer survival times.
Copyright © 2021 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.

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Keywords:  economic model; metastatic melanoma; real option value; real-world evidence; value assessment

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Year:  2021        PMID: 34838272     DOI: 10.1016/j.jval.2021.07.004

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  1 in total

1.  Modeling the Ex Ante Clinical Real Option Value in an Innovative Therapeutic Area: ALK-Positive Non-Small-Cell Lung Cancer.

Authors:  Woojung Lee; William B Wong; Stacey Kowal; Louis P Garrison; David L Veenstra; Meng Li
Journal:  Pharmacoeconomics       Date:  2022-05-09       Impact factor: 4.558

  1 in total

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