Evidence map›Paper›PMID 20831295›Full record

ArticlePharmacoEconomics2010

Comparative effectiveness regulations and pharmaceutical innovation.

John A Vernon, Joseph H Golec, J Stedman Stevens

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2010. 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.

John A VernonDepartment of Health Policy and Management, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. vernon@email.unc.edu
Joseph H Golec
J Stedman Stevens

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As healthcare reform evolves and takes shape, comparative effectiveness research (CER) appears to be one of the central topics on the national healthcare agenda. Over the past couple of years, comparative effectiveness has been explicitly incorporated in more than ten bills. For example, the passage of the American Recovery and Reinvestment Act of 2009 authorized $US1.1 billion for CER. Comparative effectiveness, when costs are formally considered, offers the hope of efficient resource allocation within US healthcare markets. However, the future operationalization and implementation of comparative effectiveness is uncertain, and there exist potentially negative, and unintended, consequences under certain scenarios. One example, and the focus of this article, is pharmaceutical innovation. Incentives for pharmaceutical R&D could be affected if drug development costs increase as a result of firms having to bear, directly or indirectly, the costs of running larger, randomized, head-to-head comparative effectiveness trials. While this may or may not be the case with current and future comparative effectiveness legislation and its subsequent implementation, the potential consequences for pharmaceutical innovation warrant recognition. This is the purpose of the article. To achieve this goal, we develop several models of clinical trial design, drug development costs and R&D investment. By example, we shed light on the causal links between the models and the ways in which industry R&D investment can be affected.

Indexed as

Economics, PharmaceuticalClinical Trials as TopicComparative Effectiveness ResearchCost-Benefit AnalysisDelivery of Health CareHumansUnited States

Identifiers

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.