Literature DB >> 29065945

EXAMINING EVIDENCE IN U.S. PAYER COVERAGE POLICIES FOR MULTI-GENE PANELS AND SEQUENCING TESTS.

James D Chambers1, Cayla J Saret2, Jordan E Anderson2, Patricia A Deverka3, Michael P Douglas4, Kathryn A Phillips4.   

Abstract

OBJECTIVES: The aim of this study was to examine the evidence payers cited in their coverage policies for multi-gene panels and sequencing tests (panels), and to compare these findings with the evidence payers cited in their coverage policies for other types of medical interventions.
METHODS: We used the University of California at San Francisco TRANSPERS Payer Coverage Registry to identify coverage policies for panels issued by five of the largest US private payers. We reviewed each policy and categorized the evidence cited within as: clinical studies, systematic reviews, technology assessments, cost-effectiveness analyses (CEAs), budget impact studies, and clinical guidelines. We compared the evidence cited in these coverage policies for panels with the evidence cited in policies for other intervention types (pharmaceuticals, medical devices, diagnostic tests and imaging, and surgical interventions) as reported in a previous study.
RESULTS: Fifty-five coverage policies for panels were included. On average, payers cited clinical guidelines in 84 percent of their coverage policies (range, 73-100 percent), clinical studies in 69 percent (50-87 percent), technology assessments 47 percent (33-86 percent), systematic reviews or meta-analyses 31 percent (7-71 percent), and CEAs 5 percent (0-7 percent). No payers cited budget impact studies in their policies. Payers less often cited clinical studies, systematic reviews, technology assessments, and CEAs in their coverage policies for panels than in their policies for other intervention types. Payers cited clinical guidelines in a comparable proportion of policies for panels and other technology types.
CONCLUSIONS: Payers in our sample less often cited clinical studies and other evidence types in their coverage policies for panels than they did in their coverage policies for other types of medical interventions.

Entities:  

Keywords:  Evidence; Multi-gene panels and sequencing tests; Payer coverage policies

Mesh:

Year:  2017        PMID: 29065945      PMCID: PMC5732073          DOI: 10.1017/S0266462317000903

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  24 in total

1.  Usefulness of Multigene Testing: Catching the Train That's Left the Station.

Authors:  Elizabeth M Swisher
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2.  Insurance companies are slow to cover next-generation sequencing.

Authors:  Shraddha Chakradhar
Journal:  Nat Med       Date:  2015-03       Impact factor: 53.440

3.  The FDA and genomic tests--getting regulation right.

Authors:  Barbara J Evans; Wylie Burke; Gail P Jarvik
Journal:  N Engl J Med       Date:  2015-05-27       Impact factor: 91.245

4.  Genomic sequencing: assessing the health care system, policy, and big-data implications.

Authors:  Kathryn A Phillips; Julia R Trosman; Robin K Kelley; Mark J Pletcher; Michael P Douglas; Christine B Weldon
Journal:  Health Aff (Millwood)       Date:  2014-07       Impact factor: 6.301

5.  Evidence-based classification of recommendations on use of genomic tests in clinical practice: dealing with insufficient evidence.

Authors:  Muin J Khoury; Ralph J Coates; James P Evans
Journal:  Genet Med       Date:  2010-11       Impact factor: 8.822

6.  Eligibility criteria in private and public coverage policies for BRCA genetic testing and genetic counseling.

Authors:  Grace Wang; Mary S Beattie; Ninez A Ponce; Kathryn A Phillips
Journal:  Genet Med       Date:  2011-12       Impact factor: 8.822

7.  Generating and evaluating evidence of the clinical utility of molecular diagnostic tests in oncology.

Authors:  Patricia Deverka; Donna A Messner; Robert McCormack; Gary H Lyman; Margaret Piper; Linda Bradley; David Parkinson; David Nelson; Howard L McLeod; Mary Lou Smith; Louis Jacques; Tania Dutta; Sean R Tunis
Journal:  Genet Med       Date:  2015-12-03       Impact factor: 8.822

8.  Payer decision making for next-generation sequencing-based genetic tests: insights from cell-free DNA prenatal screening.

Authors:  Andrew P Dervan; Patricia A Deverka; Julia R Trosman; Christine B Weldon; Michael P Douglas; Kathryn A Phillips
Journal:  Genet Med       Date:  2016-09-22       Impact factor: 8.822

Review 9.  Next-generation sequencing to guide cancer therapy.

Authors:  Jeffrey Gagan; Eliezer M Van Allen
Journal:  Genome Med       Date:  2015-07-29       Impact factor: 11.117

10.  Barriers to clinical adoption of next generation sequencing: Perspectives of a policy Delphi panel.

Authors:  Donna A Messner; Jennifer Al Naber; Pei Koay; Robert Cook-Deegan; Mary Majumder; Gail Javitt; Patricia Deverka; Rachel Dvoskin; Juli Bollinger; Margaret Curnutte; Subhashini Chandrasekharan; Amy McGuire
Journal:  Appl Transl Genom       Date:  2016-05-25
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  5 in total

Review 1.  Use of Real-World Evidence in US Payer Coverage Decision-Making for Next-Generation Sequencing-Based Tests: Challenges, Opportunities, and Potential Solutions.

Authors:  Patricia A Deverka; Michael P Douglas; Kathryn A Phillips
Journal:  Value Health       Date:  2020-03-26       Impact factor: 5.725

2.  The Global Market for Next-Generation Sequencing Tests Continues Its Torrid Pace.

Authors:  Kathryn A Phillips; Michael P Douglas
Journal:  J Precis Med       Date:  2018-10

Review 3.  Improving recommendations for genomic medicine: building an evolutionary process from clinical practice advisory documents to guidelines.

Authors:  Wylie Burke; Ellen Wright Clayton; Susan M Wolf; Susan A Berry; Barbara J Evans; James P Evans; Ralph Hall; Diane Korngiebel; Anne-Marie Laberge; Bonnie S LeRoy; Amy L McGuire
Journal:  Genet Med       Date:  2019-06-04       Impact factor: 8.822

4.  Clinical validity of expanded carrier screening: Evaluating the gene-disease relationship in more than 200 conditions.

Authors:  Marie Balzotti; Linyan Meng; Dale Muzzey; Katherine Johansen Taber; Kyle Beauchamp; Myriad Genetics Curation Team; Baylor Genetics Curation Team; Rebecca Mar-Heyming; Bethany Buckley; Krista Moyer
Journal:  Hum Mutat       Date:  2020-05-21       Impact factor: 4.878

Review 5.  Genomic testing in pediatric epilepsy.

Authors:  Drew M Thodeson; Jason Y Park
Journal:  Cold Spring Harb Mol Case Stud       Date:  2019-08-01
  5 in total

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