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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Strategies to Manage Drugs and Devices Approved Based on Limited Evidence: Results of a Modified Delphi Panel
Sanket S Dhruva1,2,3, Jonathan J Darrow4,5, Aaron S Kesselheim4
1University of California, San Francisco School of Medicine, San Francisco, California, USA.
Abstract:
Prescription drugs and medical devices are increasingly coming to market through expedited US Food and Drug Administration (FDA) pathways that require only limited evidence of safety and efficacy, such as nonrandomized, unblinded trial data in small numbers of patients, or the use of surrogate end points. Reliance on more limited evidence means that there is often greater uncertainty about risks and benefits. Using a modified Delphi process, we sought to identify promising policy approaches that address physician-patient decision-making needs about the use of such drugs and medical devices. We convened 13 national leaders from academia, government, nonprofits, payors, and industry who had expertise in medical product regulation, payor policymaking, bioethics, physician practice, patient advocacy, public health expertise/advocacy, clinical trials, the pharmaceutical and device industry, institutional review board oversight, and real-world evidence. Through multiple rounds of voting and meetings focused on evaluating the feasibility and impact of various interventions, the 13 participants reached the broadest consensus on 4 interventions: strengthening FDA post-approval study requirements to ensure postmarket evidence is generated in a timely manner, better informing patients about the risks and benefits and level of evidence supporting therapies via simplified and patient-centered product information "boxes" modeled on nutrition labels, limiting prices for drugs and medical devices approved based on surrogate end point data until confirmatory clinical evidence is generated, and improving health professional education about FDA regulation to better support clinician use of drugs and devices as well as communication with patients.
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