Literature DB >> 27992772

The role of imperfect surrogate endpoint information in drug approval and reimbursement decisions.

Katalin Bognar1, John A Romley2, Jay P Bae3, James Murray3, Jacquelyn W Chou1, Darius N Lakdawalla4.   

Abstract

Approval of new drugs is increasingly reliant on "surrogate endpoints," which correlate with but imperfectly predict clinical benefits. Proponents argue surrogate endpoints allow for faster approval, but critics charge they provide inadequate evidence. We develop an economic framework that addresses the value of improvement in the predictive power, or "quality," of surrogate endpoints, and clarifies how quality can influence decisions by regulators, payers, and manufacturers. For example, the framework shows how lower-quality surrogates lead to greater misalignment of incentives between payers and regulators, resulting in more drugs that are approved for use but not covered by payers. Efficient price-negotiation in the marketplace can help align payer incentives for granting access based on surrogates. Higher-quality surrogates increase manufacturer profits and social surplus from early access to new drugs. Since the return on better quality is shared between manufacturers and payers, private incentives to invest in higher-quality surrogates are inefficiently low.
Copyright © 2016 The Author(s). Published by Elsevier B.V. All rights reserved.

Keywords:  Drug approval; Drug reimbursement; Surrogate endpoints

Mesh:

Substances:

Year:  2016        PMID: 27992772     DOI: 10.1016/j.jhealeco.2016.12.001

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  2 in total

1.  The Role of Regulator-Imposed Post-Approval Studies in Health Technology Assessments for Conditionally Approved Drugs.

Authors:  Rick A Vreman; Lourens T Bloem; Stijn van Oirschot; Jarno Hoekman; Menno E van der Elst; Hubert Gm Leufkens; Olaf H Klungel; Wim G Goettsch; Aukje K Mantel-Teeuwisse
Journal:  Int J Health Policy Manag       Date:  2022-05-01

Review 2.  Innovation at the Intersection of Clinical Trials and Real-World Data Science to Advance Patient Care.

Authors:  Brandon Swift; Lokesh Jain; Craig White; Vasu Chandrasekaran; Aman Bhandari; Dyfrig A Hughes; Pravin R Jadhav
Journal:  Clin Transl Sci       Date:  2018-05-16       Impact factor: 4.689

  2 in total

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