Literature DB >> 31454805

Bridging the Gaps in Personalized Medicine Value Assessment: A Review of the Need for Outcome Metrics across Stakeholders and Scientific Disciplines.

William S Bush1,2, Jessica N Cooke Bailey1,2, Mark F Beno1, Dana C Crawford3,4,5.   

Abstract

Despite monumental advances in genomics, relatively few health care provider organizations in the United States offer personalized or precision medicine as part of the routine clinical workflow. The gaps between research and applied genomic medicine may be a result of a cultural gap across various stakeholders representing scientists, clinicians, patients, policy makers, and third party payers. Scientists are trained to assess the health care value of genomics by either quantifying population-scale effects, or through the narrow lens of clinical trials where the standard of care is compared with the predictive power of a single or handful of genetic variants. While these metrics are an essential first step in assessing and documenting the clinical utility of genomics, they are rarely followed up with other assessments of health care value that are critical to stakeholders who use different measures to define value. The limited value assessment in both the research and implementation science of precision medicine is likely due to necessary logistical constraints of these teams; engaging bioethicists, health care economists, and individual patient belief systems is incredibly daunting for geneticists and informaticians conducting research. In this narrative review, we concisely describe several definitions of value through various stakeholder viewpoints. We highlight the existing gaps that prevent clinical translation of scientific findings generally as well as more specifically using two present-day, extreme scenarios: (1) genetically guided warfarin dosing representing a handful of genetic markers and more than 10 years of basic and translational research, and (2) next-generation sequencing representing genome-dense data lacking substantial evidence for implementation. These contemporary scenarios highlight the need for various stakeholders to broadly adopt frameworks designed to define and collect multiple value measures across different disciplines to ultimately impact more universal acceptance of and reimbursement for genomic medicine.
© 2019 S. Karger AG, Basel.

Entities:  

Keywords:  Genetic research; Genetic testing; Personalized medicine; Translational research

Mesh:

Year:  2019        PMID: 31454805      PMCID: PMC6752968          DOI: 10.1159/000501974

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


  78 in total

Review 1.  An introduction to cost-effectiveness and cost-benefit analysis of pharmacogenomics.

Authors:  Kathryn A Phillips; David Veenstra; Stephanie Van Bebber; Julie Sakowski
Journal:  Pharmacogenomics       Date:  2003-05       Impact factor: 2.533

2.  Economic and regulatory considerations in pharmacogenomics for drug licensing and healthcare.

Authors:  Jai Shah
Journal:  Nat Biotechnol       Date:  2003-07       Impact factor: 54.908

3.  Adoption of pharmacogenomic testing by US physicians: results of a nationwide survey.

Authors:  E J Stanek; C L Sanders; K A Johansen Taber; M Khalid; A Patel; R R Verbrugge; B C Agatep; R E Aubert; R S Epstein; F W Frueh
Journal:  Clin Pharmacol Ther       Date:  2012-01-25       Impact factor: 6.875

4.  Replicating genotype-phenotype associations.

Authors:  Stephen J Chanock; Teri Manolio; Michael Boehnke; Eric Boerwinkle; David J Hunter; Gilles Thomas; Joel N Hirschhorn; Goncalo Abecasis; David Altshuler; Joan E Bailey-Wilson; Lisa D Brooks; Lon R Cardon; Mark Daly; Peter Donnelly; Joseph F Fraumeni; Nelson B Freimer; Daniela S Gerhard; Chris Gunter; Alan E Guttmacher; Mark S Guyer; Emily L Harris; Josephine Hoh; Robert Hoover; C Augustine Kong; Kathleen R Merikangas; Cynthia C Morton; Lyle J Palmer; Elizabeth G Phimister; John P Rice; Jerry Roberts; Charles Rotimi; Margaret A Tucker; Kyle J Vogan; Sholom Wacholder; Ellen M Wijsman; Deborah M Winn; Francis S Collins
Journal:  Nature       Date:  2007-06-07       Impact factor: 49.962

Review 5.  Challenges of translating genetic tests into clinical and public health practice.

Authors:  Wolf H Rogowski; Scott D Grosse; Muin J Khoury
Journal:  Nat Rev Genet       Date:  2009-07       Impact factor: 53.242

Review 6.  Payer view of personalized medicine.

Authors:  Edmund J Pezalla
Journal:  Am J Health Syst Pharm       Date:  2016-12-01       Impact factor: 2.637

7.  Identification of the gene for vitamin K epoxide reductase.

Authors:  Tao Li; Chun-Yun Chang; Da-Yun Jin; Pen-Jen Lin; Anastasia Khvorova; Darrel W Stafford
Journal:  Nature       Date:  2004-02-05       Impact factor: 49.962

Review 8.  Oral anticoagulants for preventing stroke in patients with non-valvular atrial fibrillation and no previous history of stroke or transient ischemic attacks.

Authors:  M I Aguilar; R Hart
Journal:  Cochrane Database Syst Rev       Date:  2005-07-20

9.  A general framework for estimating the relative pathogenicity of human genetic variants.

Authors:  Martin Kircher; Daniela M Witten; Preti Jain; Brian J O'Roak; Gregory M Cooper; Jay Shendure
Journal:  Nat Genet       Date:  2014-02-02       Impact factor: 38.330

10.  Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Pharmacogenetics-Guided Warfarin Dosing: 2017 Update.

Authors:  J A Johnson; K E Caudle; L Gong; M Whirl-Carrillo; C M Stein; S A Scott; M T Lee; B F Gage; S E Kimmel; M A Perera; J L Anderson; M Pirmohamed; T E Klein; N A Limdi; L H Cavallari; M Wadelius
Journal:  Clin Pharmacol Ther       Date:  2017-04-04       Impact factor: 6.875

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  2 in total

Review 1.  Conceptualization of utility in translational clinical genomics research.

Authors:  Hadley Stevens Smith; Kyle B Brothers; Sara J Knight; Sara L Ackerman; Christine Rini; David L Veenstra; Amy L McGuire; Benjamin S Wilfond; Janet Malek
Journal:  Am J Hum Genet       Date:  2021-10-22       Impact factor: 11.025

Review 2.  Bibliometric Analysis of Research on Telomere Length in Children: A Review of Scientific Literature.

Authors:  Desirée Valera-Gran; Daniel Prieto-Botella; Paula Peral-Gómez; Miriam Hurtado-Pomares; Alicia Sánchez-Pérez; Eva-María Navarrete-Muñoz
Journal:  Int J Environ Res Public Health       Date:  2020-06-26       Impact factor: 3.390

  2 in total

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