Branded prescription drug spending: a framework to evaluate policy options
Abstract
Background: High drug spending is a concern for policy makers due to limits on access for patients. Numerous
policies have been proposed to address high drug spending. The existence of multifarious proposals makes it
difficult for policy makers to consider all the alternatives. We developed an approach to select the most viable
options to present to policy makers.
Methods: We identified 41 different proposals in the peer-reviewed literature to reduce the level of spending or
change the incentives for branded prescription drugs; ten of which we identified as promising proposals. Based on
criterion used to assess various legislative proposals regarding branded pharmaceuticals we developed a framework
to evaluate the ten promising proposals. We then used a modified Delphi technique to iteratively evaluate these
ten proposals starting with the initial criterion. During each iteration, five researchers independently evaluated the
ten policies based on available criterion and assessed how to modify the criterion to achieve consensus on what
attributes the criterion were intended to measure. We highlight areas of disagreement to show where
modifications to existing criterion are needed.
Results: We found general agreement for most policy-criterion combinations after three iterations. Areas with the
greatest remaining disagreement include possible unintended consequences, the concept of value implied by
many of the policies, and secondary effects by the pharmaceutical industry, insurers, and the FDA.
Conclusions: Our analysis provides an approach that can be applied to evaluate policy proposals. It also suggests
factors that policy analysts and researchers should consider when they propose policy options and where
additional research is needed to assess policy impacts. Developing an objective approach to compare alternatives
may facilitate the adoption of policies for branded prescription drugs in the U.S. by allowing policy makers to focus
on the most viable options.