Evidence-Based Valuation in Oncology:: Lessons Learned from a Case Study

Ther Innov Regul Sci. 2019 May;53(3):403-411. doi: 10.1177/2168479018786701. Epub 2018 Jul 23.

Abstract

Background: Value demonstration in health care remains a challenge. This paper examines traditional approaches to pricing and the evolution of value-based pricing (VBP), and proposes a new framework for evidence-based valuation (EBV). The main objective of EBV is to estimate the value-based pricing range for the new medicine, identify key product attributes that drive value as perceived by various stakeholders, and then elucidate the requisite evidence to support those value claims.

Methods: EBV centers on a structured framework for estimating a drug's price based on its perceived value to various stakeholders. The EBV framework consists of identifying key value attributes that drive adoption of a drug in a given therapeutic area; gaining insights into stakeholder value considerations and evidence requirements; and quantifying stakeholders' perceptions of specific value attributes within pricing premiums.

Results: An example demonstrates the application of the EBV framework in a simplified manner for 3 drugs indicated for renal cell carcinoma, 3 drugs for prostate cancer, and 1 drug for melanoma. HTAs, published trial results, and publications archived in PubMed between 2005 and 2013 were analyzed to identify key value attributes. The following 5 attributes were considered: overall survival (OS), progression-free survival (PFS), population size, trial comparator, and adverse events.

Conclusions: The method described offers a means to appraise pharmaceuticals in an environment increasingly focused on evidence-based medicine and value-based health care.

Keywords: evidence-based value framework; pricing in oncology; value demonstration in health care.

MeSH terms

  • Antineoplastic Agents / economics*
  • Antineoplastic Agents / therapeutic use
  • Clinical Trials as Topic
  • Evidence-Based Medicine / economics*
  • Humans
  • Neoplasms / drug therapy*
  • Neoplasms / economics
  • Population Density
  • Survival Analysis
  • Treatment Outcome

Substances

  • Antineoplastic Agents