Evidence map›Paper›PMID 32452010›Full record

ReviewPharmacoEconomics2020

Financing Drug Innovation in the US: Current Framework and Emerging Challenges.

David Cutler, Noam Kirson, Genia Long

Abstract readReview
In one paragraph

Review in PharmacoEconomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

David CutlerHarvard University, Cambridge, MA, 02138, USA. dcutler@harvard.edu.ORCID 0000-0002-4949-8917
Noam KirsonAnalysis Group, Inc., Boston, MA, 02199, USA.
Genia LongAnalysis Group, Inc., Boston, MA, 02199, USA.

Funding

Using Satellite National Health Accounts to Understand Health and Cost ChangesR37AG047312 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI CUTLER, DAVID M · 2015 to 2022
$5.3M
NIA NIH HHS R37 AG047312NIA NIH HHS R37AG047312
6 · The paper itself

Abstract

The current US drug innovation financing framework rests on the notion that a defined period of marketing exclusivity combined with the expectation of reimbursement for clinically valuable, cost-effective therapies, followed by vigorous price competition from generic drugs and biosimilars ensures a sufficient return on investment (ROI) to incent private sector risk-based investment and research and development activities while providing access for new treatments to patients. While periodically, alternatives such as government prizes, direct purchases or development, and limits on certain incentives have been proposed, the basic approach has remained intact since the 1980s, with incremental provisions addressing specific gaps and priorities, and adding provisions for biosimilar entry. This paper reviews the main elements of the current US system to financing drug innovation and its approach to balancing multiple objectives. In addition, the system for financing drug innovation must be effective over a wide range of potential scientific approaches and economic conditions. It should be predictable for investors and payers making long-term development and coverage decisions, while also encompassing unanticipated new treatment modalities and scientific progress. An important emerging challenge is posed by clinically transformative, high-investment, single-administration therapies, such as gene therapy. Continued experimentation and the input of a range of stakeholders are needed to ensure next-generation therapeutic advances continue to be developed and made available to patients.

Indexed as

Pharmaceutical PreparationsBiosimilar PharmaceuticalsDrugs, GenericHumansMotivationBiosimilar PharmaceuticalsDrugs, GenericPharmaceutical Preparations

Identifiers

PMID32452010
PMCPMC7247916

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.