Literature DB >> 20831292

The economics of comparative effectiveness studies: societal and private perspectives and their implications for prioritizing public investments in comparative effectiveness research.

David Meltzer1, Anirban Basu, Rena Conti.   

Abstract

Comparative effectiveness research (CER) can provide valuable information for patients, providers and payers. These stakeholders differ in their incentives to invest in CER. To maximize benefits from public investments in CER, it is important to understand the value of CER from the perspectives of these stakeholders and how that affects their incentives to invest in CER. This article provides a conceptual framework for valuing CER, and illustrates the potential benefits of such studies from a number of perspectives using several case studies. We examine cases in which CER provides value by identifying when one treatment is consistently better than others, when different treatments are preferred for different subgroups, and when differences are small enough that decisions can be made based on price. We illustrate these findings using value-of-information techniques to assess the value of research, and by examining changes in pharmaceutical prices following publication of a comparative effectiveness study. Our results suggest that CER may have high societal value but limited private return to providers or payers. This suggests the importance of public efforts to promote the production of CER. We also conclude that value-of-information tools may help inform policy decisions about how much public funds to invest in CER and how to prioritize the use of available public funds for CER, in particular targeting public CER spending to areas where private incentives are low relative to social benefits.

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Mesh:

Year:  2010        PMID: 20831292      PMCID: PMC4023690          DOI: 10.2165/11539400-000000000-00000

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  9 in total

1.  Addressing uncertainty in medical cost-effectiveness analysis implications of expected utility maximization for methods to perform sensitivity analysis and the use of cost-effectiveness analysis to set priorities for medical research.

Authors:  D Meltzer
Journal:  J Health Econ       Date:  2001-01       Impact factor: 3.883

2.  Comparative effectiveness: asking the right questions, choosing the right method.

Authors:  Steven M Teutsch; Marc L Berger; Milton C Weinstein
Journal:  Health Aff (Millwood)       Date:  2005 Jan-Feb       Impact factor: 6.301

3.  When is evidence sufficient?

Authors:  Karl Claxton; Joshua T Cohen; Peter J Neumann
Journal:  Health Aff (Millwood)       Date:  2005 Jan-Feb       Impact factor: 6.301

4.  Value of information on preference heterogeneity and individualized care.

Authors:  Anirban Basu; David Meltzer
Journal:  Med Decis Making       Date:  2007 Mar-Apr       Impact factor: 2.583

5.  A cost-benefit analysis of a cardiovascular disease prevention trial, using folate supplementation as an example.

Authors:  J Hornberger
Journal:  Am J Public Health       Date:  1998-01       Impact factor: 9.308

6.  An economic approach to clinical trial design and research priority-setting.

Authors:  K Claxton; J Posnett
Journal:  Health Econ       Date:  1996 Nov-Dec       Impact factor: 3.046

7.  Effectiveness of antipsychotic drugs in patients with chronic schizophrenia.

Authors:  Jeffrey A Lieberman; T Scott Stroup; Joseph P McEvoy; Marvin S Swartz; Robert A Rosenheck; Diana O Perkins; Richard S E Keefe; Sonia M Davis; Clarence E Davis; Barry D Lebowitz; Joanne Severe; John K Hsiao
Journal:  N Engl J Med       Date:  2005-09-19       Impact factor: 91.245

8.  Amiodarone versus sotalol for atrial fibrillation.

Authors:  Bramah N Singh; Steven N Singh; Domenic J Reda; X Charlene Tang; Becky Lopez; Crystal L Harris; Ross D Fletcher; Satish C Sharma; J Edwin Atwood; Alan K Jacobson; H Daniel Lewis; Dennis W Raisch; Michael D Ezekowitz
Journal:  N Engl J Med       Date:  2005-05-05       Impact factor: 91.245

9.  Comparative effectiveness research for antipsychotic medications: how much is enough?

Authors:  David O Meltzer; Anirban Basu; Herbert Y Meltzer
Journal:  Health Aff (Millwood)       Date:  2009-07-21       Impact factor: 6.301

  9 in total
  10 in total

Review 1.  Updated report on comparative effectiveness of ACE inhibitors, ARBs, and direct renin inhibitors for patients with essential hypertension: much more data, little new information.

Authors:  Benjamin J Powers; Remy R Coeytaux; Rowena J Dolor; Vic Hasselblad; Uptal D Patel; William S Yancy; Rebecca N Gray; R Julian Irvine; Amy S Kendrick; Gillian D Sanders
Journal:  J Gen Intern Med       Date:  2011-12-07       Impact factor: 5.128

2.  Perspectives on comparative effectiveness research: views from diverse constituencies.

Authors:  Dave Nellesen; Howard G Birnbaum; Paul E Greenberg
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

3.  Efficient allocation of novel agents in multiple myeloma: a work in progress.

Authors:  Jennifer G Gaultney; Carin A Uyl-de Groot
Journal:  Oncologist       Date:  2013-01-08

4.  Patient-centered or 'central' patient: Raising the veil of ignorance over randomization.

Authors:  Anirban Basu
Journal:  Stat Med       Date:  2012-11-10       Impact factor: 2.373

5.  Economics of individualization in comparative effectiveness research and a basis for a patient-centered health care.

Authors:  Anirban Basu
Journal:  J Health Econ       Date:  2011-04-23       Impact factor: 3.883

6.  Private manufacturers' thresholds to invest in comparative effectiveness trials.

Authors:  Anirban Basu; David Meltzer
Journal:  Pharmacoeconomics       Date:  2012-10-01       Impact factor: 4.981

7.  The value of comparative effectiveness research: projected return on investment of the RxPONDER trial (SWOG S1007).

Authors:  William B Wong; Scott D Ramsey; William E Barlow; Louis P Garrison; David L Veenstra
Journal:  Contemp Clin Trials       Date:  2012-08-18       Impact factor: 2.226

8.  Value-of-information analysis within a stakeholder-driven research prioritization process in a US setting: an application in cancer genomics.

Authors:  Josh J Carlson; Rahber Thariani; Josh Roth; Julie Gralow; N Lynn Henry; Laura Esmail; Pat Deverka; Scott D Ramsey; Laurence Baker; David L Veenstra
Journal:  Med Decis Making       Date:  2013-05       Impact factor: 2.583

Review 9.  Modelling the cost effectiveness of disease-modifying treatments for multiple sclerosis: issues to consider.

Authors:  Joel P Thompson; Amir Abdolahi; Katia Noyes
Journal:  Pharmacoeconomics       Date:  2013-06       Impact factor: 4.981

10.  Personalized medicine and comparative effectiveness research in an era of fixed budgets.

Authors:  Paul M Brown
Journal:  EPMA J       Date:  2010-12-08       Impact factor: 6.543

  10 in total

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