Literature DB >> 31317629

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

Laura M Amendola1, M Ragan Hart1, Robin L Bennett1, Martha Horike-Pyne1, Michael Dorschner2, Brian Shirts3, Gail P Jarvik1,4.   

Abstract

In this work, we explore the results of germline cancer genetic tests in individuals whose insurance would not cover this testing. We enrolled 31 patients with a personal history of cancer whose health insurer denied coverage for a clinical germline cancer panel genetic test recommended by a medical genetics provider into a study providing exome sequencing and return of cancer-related results. Five participants (16%) had a pathogenic variant identified related to increased cancer risk. Three participants (10%) had a variant of uncertain significance (VUS) in a gene related to their cancer history. These rates are not significantly different than the 12% rate of pathogenic or likely pathogenic (P/LP) variants and VUS in 1,462 patients approved by insurance to have a similar clinical germline cancer test (p = .59 for P/LP variants; p = .87 for VUS; Shirts et al., Genet Med, 18:974, 2016). Health insurance guidelines may not meaningfully differentiate between patients with cancer who are likely to benefit from germline cancer genetic testing and those who will not. Failure to identify pathogenic variants in this research cohort would have led to suboptimal care. Strategic evaluation of current germline cancer genetic testing coverage policies is needed to appropriately deliver precision medicine.
© 2019 National Society of Genetic Counselors.

Entities:  

Keywords:  cancer genetics; clinical genetics; genetic counseling; genetics; germline genetic testing; health insurer coverage; hereditary cancer; insurer guidelines

Year:  2019        PMID: 31317629      PMCID: PMC6901727          DOI: 10.1002/jgc4.1155

Source DB:  PubMed          Journal:  J Genet Couns        ISSN: 1059-7700            Impact factor:   2.537


  23 in total

1.  Clinical Actionability of Multigene Panel Testing for Hereditary Breast and Ovarian Cancer Risk Assessment.

Authors:  Andrea Desmond; Allison W Kurian; Michele Gabree; Meredith A Mills; Michael J Anderson; Yuya Kobayashi; Nora Horick; Shan Yang; Kristen M Shannon; Nadine Tung; James M Ford; Stephen E Lincoln; Leif W Ellisen
Journal:  JAMA Oncol       Date:  2015-10       Impact factor: 31.777

2.  Increased yield of actionable mutations using multi-gene panels to assess hereditary cancer susceptibility in an ethnically diverse clinical cohort.

Authors:  Charité Ricker; Julie O Culver; Katrina Lowstuter; Duveen Sturgeon; Julia D Sturgeon; Christopher R Chanock; William J Gauderman; Kevin J McDonnell; Gregory E Idos; Stephen B Gruber
Journal:  Cancer Genet       Date:  2016-01-12

3.  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.

Authors:  Eric Faulkner; 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
Journal:  Value Health       Date:  2012-09-07       Impact factor: 5.725

4.  Evidence of clinical utility: an unmet need in molecular diagnostics for patients with cancer.

Authors:  David R Parkinson; Robert T McCormack; Susan M Keating; Steven I Gutman; Stanley R Hamilton; Elizabeth A Mansfield; Margaret A Piper; Patricia Deverka; Felix W Frueh; J Milburn Jessup; Lisa M McShane; Sean R Tunis; Caroline C Sigman; Gary J Kelloff
Journal:  Clin Cancer Res       Date:  2014-03-15       Impact factor: 12.531

5.  Actionable, pathogenic incidental findings in 1,000 participants' exomes.

Authors:  Michael O Dorschner; Laura M Amendola; Emily H Turner; Peggy D Robertson; Brian H Shirts; Carlos J Gallego; Robin L Bennett; Kelly L Jones; Mari J Tokita; James T Bennett; Jerry H Kim; Elisabeth A Rosenthal; Daniel S Kim; Holly K Tabor; Michael J Bamshad; Arno G Motulsky; C Ronald Scott; Colin C Pritchard; Tom Walsh; Wylie Burke; Wendy H Raskind; Peter Byers; Fuki M Hisama; Deborah A Nickerson; Gail P Jarvik
Journal:  Am J Hum Genet       Date:  2013-09-19       Impact factor: 11.025

6.  Genetic testing insurance coverage trends: a review of publicly available policies from the largest US payers.

Authors:  Michael D Graf; Denise F Needham; Nicole Teed; Trisha Brown
Journal:  Per Med       Date:  2013-05       Impact factor: 2.512

7.  Utilization of multigene panels in hereditary cancer predisposition testing: analysis of more than 2,000 patients.

Authors:  Holly LaDuca; A J Stuenkel; Jill S Dolinsky; Steven Keiles; Stephany Tandy; Tina Pesaran; Elaine Chen; Chia-Ling Gau; Erika Palmaer; Kamelia Shoaepour; Divya Shah; Virginia Speare; Stephanie Gandomi; Elizabeth Chao
Journal:  Genet Med       Date:  2014-04-24       Impact factor: 8.822

8.  Who Pays? Coverage Challenges for Cardiovascular Genetic Testing in U.S. Patients.

Authors:  Katherine G Spoonamore; Nicole M Johnson
Journal:  Front Cardiovasc Med       Date:  2016-05-31

Review 9.  Making genomic medicine evidence-based and patient-centered: a structured review and landscape analysis of comparative effectiveness research.

Authors:  Kathryn A Phillips; Patricia A Deverka; Harold C Sox; Muin J Khoury; Lewis G Sandy; Geoffrey S Ginsburg; Sean R Tunis; Lori A Orlando; Michael P Douglas
Journal:  Genet Med       Date:  2017-04-13       Impact factor: 8.822

Review 10.  Processes and preliminary outputs for identification of actionable genes as incidental findings in genomic sequence data in the Clinical Sequencing Exploratory Research Consortium.

Authors:  Jonathan S Berg; Laura M Amendola; Christine Eng; Eliezer Van Allen; Stacy W Gray; Nikhil Wagle; Heidi L Rehm; Elizabeth T DeChene; Matthew C Dulik; Fuki M Hisama; Wylie Burke; Nancy B Spinner; Levi Garraway; Robert C Green; Sharon Plon; James P Evans; Gail P Jarvik
Journal:  Genet Med       Date:  2013-10-24       Impact factor: 8.822

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  4 in total

1.  Outcomes of retesting in patients with previously uninformative cancer genetics evaluations.

Authors:  Shenin A Dettwyler; Erika S Koeppe; Michelle F Jacobs; Elena M Stoffel
Journal:  Fam Cancer       Date:  2021-09-21       Impact factor: 2.446

2.  Self-rated family health history knowledge among All of Us program participants.

Authors:  Leland E Hull; Pradeep Natarajan
Journal:  Genet Med       Date:  2022-01-17       Impact factor: 8.822

3.  Genetic Testing and/or Counseling for Colorectal Cancer by Health Insurance Type.

Authors:  Arian Mansur; Fang Zhang; Christine Y Lu
Journal:  J Pers Med       Date:  2022-07-15

4.  Association between Health Insurance Type and Genetic Testing and/or Counseling for Breast and Ovarian Cancer.

Authors:  Arian Mansur; Fang Zhang; Christine Y Lu
Journal:  J Pers Med       Date:  2022-07-31
  4 in total

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