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This summary is machine-generated.

Modeled cost-effectiveness claims can be manipulated for marketing purposes. The Institute for Clinical and Economic Review (ICER) Analytics platform enables customizable models, potentially leading to numerous competing and confusing value assessments.

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Area of Science:

  • Health Economics
  • Health Technology Assessment
  • Pharmaceutical Policy

Background:

  • Modeled cost-effectiveness claims, particularly those projecting lifetime patient outcomes, are susceptible to manipulation for market entry.
  • Such marketing-driven analyses are prevalent in scientific literature, often supporting product adoption.
  • The Institute for Clinical and Economic Review (ICER) has introduced an analytics platform that facilitates these modeling activities.

Purpose of the Study:

  • To critically evaluate the implications of the ICER Analytics platform on health technology assessment and value claims.
  • To examine how the platform's customizable framework may impact the integrity of cost-effectiveness analyses.
  • To discuss the potential for increased complexity and confusion in formulary decision-making.

Main Methods:

  • Analysis of the ICER Analytics platform's functionalities and its alignment with established health technology assessment methodologies.
  • Conceptual examination of how customizable modeling assumptions can lead to divergent value assessments.
  • Discussion of the challenges in comparing competing cost-effectiveness claims without standardized reference points.

Main Results:

  • The ICER Analytics platform allows users to modify core models, enabling the creation of competing value assessments and price claims.
  • This customization lowers the barrier for generating numerous, potentially conflicting, economic models.
  • ICER's role as a central arbiter in US health technology assessment is challenged by the proliferation of these independently generated models.

Conclusions:

  • The ICER Analytics platform, while facilitating formulary decision support, may undermine the credibility of value assessments by enabling easy customization.
  • The proliferation of competing, assumption-driven models creates a confusing landscape for health decision-makers.
  • Ensuring the credibility, evaluability, and replicability of product claims becomes more challenging in this environment.