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A Decision-Theoretic Framework for the Application of Cost-Effectiveness Analysis in Regulatory Processes

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Abstract

Cost-effectiveness analysis (CEA) represents the most important tool in the health economics literature to quantify and qualify the reasoning behind the optimal decision process in terms of the allocation of resources to a given health intervention. However, the practical application of CEA in the regulatory process is often limited by some critical barriers, and decisions in clinical practice are frequently influenced by factors that do not contribute to efficient resource allocation, leading to inappropriate drug prescription and utilization. Moreover, most of the time there is uncertainty about the real cost-effectiveness profile of an innovative intervention, with the consequence that it is usually impossible to obtain an immediate and perfect substitution of a product with another having a better cost-effectiveness ratio.

The objective of this article is to propose a rational approach to CEA within regulatory processes, basing our analysis in a Bayesian decision-theoretic framework and proposing an extension of the application of well known tools (such as the expected value of information) to such cases. The regulator can use these tools to identify the economic value of reducing the uncertainty surrounding the cost-effectiveness profile of the several alternatives. This value can be compared with the one that is generated by the actual market share of the different treatment options: one that is the most cost effective and others in the same therapeutic category that, despite producing clinical benefits, are less cost effective.

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Acknowledgements

Neither Dr Russo nor Dr Baio reported any potential conflicts of interest. Furthermore, the article reflects the personal view of Dr Russo and does not represent the official perspective of the Italian Medicine Agency.

The authors wish to thank Carlo Lucioni and Francesco Saverio Mennini for their suggestions and critical revision, and two anonymous referees for their insightful comments on a previous version.

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Authors and Affiliations

  1. University of Milano Bicocca, Milan, Italy

    Gianluca Baio

  2. University College London, London, UK

    Gianluca Baio

  3. Agenzia Italiana del Farmaco, Rome, Italy

    Pierluigi Russo

Authors
  1. Gianluca Baio
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  2. Pierluigi Russo
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Correspondence to Gianluca Baio.

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Baio, G., Russo, P. A Decision-Theoretic Framework for the Application of Cost-Effectiveness Analysis in Regulatory Processes. Pharmacoeconomics 27, 645–655 (2009). https://doi.org/10.2165/11310250-000000000-00000

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