Literature DB >> 23244820

Challenges in the development and reimbursement of personalized medicine-payer and manufacturer perspectives and implications for health economics and outcomes research: a report of the ISPOR personalized medicine special interest group.

Eric Faulkner1, Lieven Annemans, Lou Garrison, Mark Helfand, Anke-Peggy Holtorf, John Hornberger, Dyfrig Hughes, Tracy Li, Daniel Malone, Katherine Payne, Uwe Siebert, Adrian Towse, David Veenstra, John Watkins.   

Abstract

BACKGROUND: Personalized medicine technologies can improve individual health by delivering the right dose of the right drug to the right patient at the right time but create challenges in deciding which technologies offer sufficient value to justify widespread diffusion. Personalized medicine technologies, however, do not neatly fit into existing health technology assessment and reimbursement processes.
OBJECTIVES: In this article, the Personalized Medicine Special Interest Group of the International Society for Pharmacoeconomics and Outcomes Research evaluated key development and reimbursement considerations from the payer and manufacturer perspectives.
METHODS: Five key areas in which health economics and outcomes research best practices could be developed to improve value assessment, reimbursement, and patient access decisions for personalized medicine have been identified.
RESULTS: These areas are as follows: 1 research prioritization and early value assessment, 2 best practices for clinical evidence development, 3 best practices for health economic assessment, 4 addressing health technology assessment challenges, and 5 new incentive and reimbursement approaches for personalized medicine.
CONCLUSIONS: Key gaps in health economics and outcomes research best practices, decision standards, and value assessment processes are also discussed, along with next steps for evolving health economics and outcomes research practices in personalized medicine.
Copyright © 2012 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23244820     DOI: 10.1016/j.jval.2012.05.006

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  43 in total

1.  The business case for cell and gene therapies.

Authors:  Mohamed Abou-El-Enein; Gerhard Bauer; Petra Reinke
Journal:  Nat Biotechnol       Date:  2014-12       Impact factor: 54.908

2.  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

3.  Making individualized drugs a reality.

Authors:  Huub Schellekens; Mohammed Aldosari; Herre Talsma; Enrico Mastrobattista
Journal:  Nat Biotechnol       Date:  2017-06-05       Impact factor: 54.908

Review 4.  Standardization can accelerate the adoption of pharmacogenomics: current status and the path forward.

Authors:  Kelly E Caudle; Nicholas J Keeling; Teri E Klein; Michelle Whirl-Carrillo; Victoria M Pratt; James M Hoffman
Journal:  Pharmacogenomics       Date:  2018-06-19       Impact factor: 2.533

Review 5.  Orphan drugs policies: a suitable case for treatment.

Authors:  Michael Drummond; Adrian Towse
Journal:  Eur J Health Econ       Date:  2014-05

6.  Cost Implications of Value-Based Pricing for Companion Diagnostic Tests in Precision Medicine.

Authors:  Gregory S Zaric
Journal:  Pharmacoeconomics       Date:  2016-07       Impact factor: 4.981

7.  Personalized Medicine and Pay for Performance: Should Pharmaceutical Firms be Fully Penalized when Treatment Fails?

Authors:  Fernando Antoñanzas; Roberto Rodríguez-Ibeas; Carmelo A Juárez-Castelló
Journal:  Pharmacoeconomics       Date:  2018-07       Impact factor: 4.981

8.  Preemptive pharmacogenetic testing: exploring the knowledge and perspectives of US payers.

Authors:  Nicholas J Keeling; Meagen M Rosenthal; Donna West-Strum; Amit S Patel; Cyrine E Haidar; James M Hoffman
Journal:  Genet Med       Date:  2017-10-26       Impact factor: 8.822

9.  Insurance coverage does not predict outcomes of genetic testing: The search for meaning in payer decisions for germline cancer tests.

Authors:  Laura M Amendola; M Ragan Hart; Robin L Bennett; Martha Horike-Pyne; Michael Dorschner; Brian Shirts; Gail P Jarvik
Journal:  J Genet Couns       Date:  2019-07-17       Impact factor: 2.537

10.  Concepts of 'personalization' in personalized medicine: implications for economic evaluation.

Authors:  Wolf Rogowski; Katherine Payne; Petra Schnell-Inderst; Andrea Manca; Ursula Rochau; Beate Jahn; Oguzhan Alagoz; Reiner Leidl; Uwe Siebert
Journal:  Pharmacoeconomics       Date:  2015-01       Impact factor: 4.981

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