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Drug pricing models, no ‘one-size-fits-all’ approach: a systematic review and critical evaluation of pricing models in an evolving pharmaceutical landscape

Author

Listed:
  • Evert A. Manders

    (Platform at Amsterdam University Medical Center
    Amsterdam University Medical Center)

  • Sibren den Berg

    (Platform at Amsterdam University Medical Center
    Amsterdam University Medical Center)

  • Saco J. Visser

    (Platform at Amsterdam University Medical Center
    Centre for Future Affordable & Sustainable Therapy Development (FAST))

  • Carla E. M. Hollak

    (Platform at Amsterdam University Medical Center
    Amsterdam University Medical Center)

Abstract

Access to new medicines is crucial for patients but increasingly sparks discussion due to high prices. Simultaneously, the growing emphasis on specialized products and uncertainty surrounding the long-term effectiveness of new drug classes brought to the market underscore the need for innovative pricing approaches. A systematic literature review of pharmaceutical pricing models, accompanied by a critical appraisal, was conducted to offer insights contributing to novel approaches balancing sustainable pharmaceutical innovation with affordability and accessibility for patients. Six different pricing models are identified: value based pricing, basic cost-based pricing, and four more comprehensive pricing models incorporating numerous elements: the cancer-drug-pricing model, AIM model, (Nuijtens) discounted cash flow, and the real-option rate of return method. Although there are many similarities among the models, each has unique assumptions for implementation. For instance, all models except for the standard incremental cost-effectiveness ratio and basic cost-based pricing consider the number of eligible patients and the remaining patent period. Only the AIM model and the Nuijtens discounted cash flow model use lump sums. Both the latter and the real-option rate of return method explicitly include the cost of capital as a major cost-based component. Recognizing the diverse applications of each model highlights the need for more differential and dynamic pricing tailored to the characteristics and therapeutic areas of each drug. Additionally, the study underscores the importance of cost transparency in achieving this goal. Consequently, these findings can help stakeholders develop sustainable and affordable drug pricing mechanisms that address the complexities of the ever-changing pharmaceutical landscape.

Suggested Citation

  • Evert A. Manders & Sibren den Berg & Saco J. Visser & Carla E. M. Hollak, 2025. "Drug pricing models, no ‘one-size-fits-all’ approach: a systematic review and critical evaluation of pricing models in an evolving pharmaceutical landscape," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 26(4), pages 683-696, June.
  • Handle: RePEc:spr:eujhec:v:26:y:2025:i:4:d:10.1007_s10198-024-01731-w
    DOI: 10.1007/s10198-024-01731-w
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    References listed on IDEAS

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    1. Helena Gaspars-Wieloch, 2019. "Project Net Present Value estimation under uncertainty," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(1), pages 179-197, March.
    2. Patricia Danzon & Adrian Towse & Jorge Mestre‐Ferrandiz, 2015. "Value‐Based Differential Pricing: Efficient Prices for Drugs in a Global Context," Health Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 294-301, March.
    3. Mikel Berdud & Kalipso Chalkidou & Emma Dean & Jimena Ferraro & Lou Garrison & Cassandra Nemzoff & Adrian Towse, 2019. "The Future of Global Health Procurement: Issues around Pricing Transparency," Working Papers 507, Center for Global Development.
    4. Hossein Haji Ali Afzali & Jonathan Karnon & Mark Sculpher, 2016. "Should the Lambda (λ) Remain Silent?," PharmacoEconomics, Springer, vol. 34(4), pages 323-329, April.
    5. Eliana Barrenho & Ruth Lopert, 2022. "Exploring the consequences of greater price transparency on the dynamics of pharmaceutical markets," OECD Health Working Papers 146, OECD Publishing.
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    More about this item

    Keywords

    Drug pricing; Drug costs; Drug pricing models; Affordability; Innovation;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I19 - Health, Education, and Welfare - - Health - - - Other

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