Literature DB >> 19204417

Pharmacogenomics, evidence, and the role of payers.

P A Deverka1.   

Abstract

Initial enthusiasm for the potential of pharmacogenomics (PGx) to transform medical practice has been tempered by the reality that the process of biomarker discovery, validation, and clinical qualification has been disappointingly slow, with a limited number of PGx tests entering the marketplace since the initial publication of the human genome sequence. Reasons for the delays include the complexity of the underlying science as well as clinical, economic, and organizational barriers to the effective delivery of personalized health care. Nevertheless, payers are interested in using PGx services to ensure that drug use is safer and more effective, particularly in the settings of medications that are widely used, have significant risks of serious adverse events, have poor or highly variable drug response, or are very expensive. However, public and private payers have specific evidence requirements for new health care technologies that must be met prior to obtaining favorable coverage and reimbursement status. These evaluation criteria are frequently more rigorous than the current level of evidence required for regulatory approval of new PGx tests or PGx-related drug labeling. To support payer decision-making, researchers will need to measure the impact of PGx testing on clinical and economic outcomes and demonstrate the net benefit of PGx testing as compared to usual care. By linking payer information needs with the current PGx research agenda, there is the opportunity to develop the data required for informed decision-making. This strategy will increase the likelihood that PGx services will be both reimbursed and used appropriately in clinical practice. Copyright 2009 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2009        PMID: 19204417      PMCID: PMC2836944          DOI: 10.1159/000189627

Source DB:  PubMed          Journal:  Public Health Genomics        ISSN: 1662-4246            Impact factor:   2.000


  40 in total

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Authors:  W E Evans; M V Relling
Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

2.  Evidence-based coverage policy.

Authors:  A M Garber
Journal:  Health Aff (Millwood)       Date:  2001 Sep-Oct       Impact factor: 6.301

3.  The price of innovation: new estimates of drug development costs.

Authors:  Joseph A DiMasi; Ronald W Hansen; Henry G Grabowski
Journal:  J Health Econ       Date:  2003-03       Impact factor: 3.883

Review 4.  The role of cost-effectiveness analysis in the era of pharmacogenomics.

Authors:  Christopher R Flowers; David Veenstra
Journal:  Pharmacoeconomics       Date:  2004       Impact factor: 4.981

Review 5.  Can the pharmaceutical industry reduce attrition rates?

Authors:  Ismail Kola; John Landis
Journal:  Nat Rev Drug Discov       Date:  2004-08       Impact factor: 84.694

6.  Defining the balance of risk and benefit in the era of genomics and proteomics.

Authors:  Robert M Califf
Journal:  Health Aff (Millwood)       Date:  2004 Jan-Feb       Impact factor: 6.301

7.  Availability of pharmacogenomics-based prescribing information in drug package inserts for currently approved drugs.

Authors:  I Zineh; T Gerhard; C L Aquilante; A L Beitelshees; B N Beasley; A G Hartzema
Journal:  Pharmacogenomics J       Date:  2004       Impact factor: 3.550

8.  Creating a new structure for research on health care effectiveness.

Authors:  Joel Kupersmith; Nancy Sung; Myron Genel; Harold Slavkin; Robert Califf; Robert Bonow; Louis Sherwood; Nancy Reame; Veronica Catanese; Catherine Baase; John Feussner; Adrian Dobs; Hugh Tilson; E Albert Reece
Journal:  J Investig Med       Date:  2005-03       Impact factor: 2.895

Review 9.  A systematic review of cost-effectiveness analyses of pharmacogenomic interventions.

Authors:  Kathryn A Phillips; Stephanie L Van Bebber
Journal:  Pharmacogenomics       Date:  2004-12       Impact factor: 2.533

10.  Implications of the Human Genome Project for medical science.

Authors:  F S Collins; V A McKusick
Journal:  JAMA       Date:  2001-02-07       Impact factor: 56.272

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  26 in total

1.  The impact of pharmacogenetics in the treatment of allergic disease and asthma.

Authors:  Bridgette L Jones
Journal:  Mo Med       Date:  2011 Sep-Oct

2.  Coverage policy development for personalized medicine: private payer perspectives on developing policy for the 21-gene assay.

Authors:  Julia R Trosman; Stephanie L Van Bebber; Kathryn A Phillips
Journal:  J Oncol Pract       Date:  2010-09       Impact factor: 3.840

3.  Pharmacogenomics and public health.

Authors:  D Veenstra; W Burke
Journal:  Public Health Genomics       Date:  2009-02-10       Impact factor: 2.000

4.  Health technology assessment and private payers' coverage of personalized medicine.

Authors:  Julia R Trosman; Stephanie L Van Bebber; Kathryn A Phillips
Journal:  J Oncol Pract       Date:  2011-05       Impact factor: 3.840

5.  Economic evaluation of personalized medicine: a call for real-world data.

Authors:  Robert Terkola; Fernando Antoñanzas; Maarten Postma
Journal:  Eur J Health Econ       Date:  2017-12

6.  Challenges and Solutions for Future Pharmacy Practice in the Era of Precision Medicine.

Authors:  Olivia M Dong; Rachel M Howard; Rachel Church; Mackenzie Cottrell; Alan Forrest; Federico Innocenti; Merrie Mosedale; Angela Kashuba; Daniel Gonzalez; Tim Wiltshire
Journal:  Am J Pharm Educ       Date:  2018-08       Impact factor: 2.047

7.  Payer Coverage for Hereditary Cancer Panels: Barriers, Opportunities, and Implications for the Precision Medicine Initiative.

Authors:  Julia R Trosman; Christine B Weldon; Michael P Douglas; Allison W Kurian; R Kate Kelley; Patricia A Deverka; Kathryn A Phillips
Journal:  J Natl Compr Canc Netw       Date:  2017-02-10       Impact factor: 11.908

8.  Pharmacogenomic substudies of randomized controlled trials: consideration of safety outcomes.

Authors:  Michael J Sorich; Andrew Rowland; Michael D Wiese
Journal:  Ther Adv Drug Saf       Date:  2014-04

9.  Decision Making on Medical Innovations in a Changing Health Care Environment: Insights from Accountable Care Organizations and Payers on Personalized Medicine and Other Technologies.

Authors:  Julia R Trosman; Christine B Weldon; Michael P Douglas; Patricia A Deverka; John B Watkins; Kathryn A Phillips
Journal:  Value Health       Date:  2017-01       Impact factor: 5.725

10.  [Health economic aspects of a stratified medicine for rheumatoid arthritis].

Authors:  M Frank; T Mittendorf
Journal:  Z Rheumatol       Date:  2013-02       Impact factor: 1.372

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