Evidence map›Paper›PMID 25736008›Full record

ArticleJournal of the National Comprehensive Cancer Network : JNCCN2015

Challenges of coverage policy development for next-generation tumor sequencing panels: experts and payers weigh in.

Julia R Trosman, Christine B Weldon, R Kate Kelley, Kathryn A Phillips

Abstract read
In one paragraph

Article in Journal of the National Comprehensive Cancer Network : JNCCN, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Outcomes of prior authorization requests for genetic testing in outpatient pediatric genetics clinics.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Insights From a Temporal Assessment of Increases in US Private Payer Coverage of Tumor Sequencing From 2015 to 2019.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
    Article
  14. From the Past to the Present: Insurer Coverage Frameworks for Next-Generation Tumor Sequencing.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2018
    Article
  15. Precision Oncology Decision Support: Current Approaches and Strategies for the Future.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    Review
  16. Article
  17. Value-based genomics.Oncotarget · 2018
    Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Julia R TrosmanFrom UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco (UCSF), San Francisco, California; Center for Business Models in Healthcare, Chicago Illinois; Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Department of Medicine, Division of Hematology/Oncology, UCSF, San Francisco, California; and Helen Diller Family Comprehensive Cancer Center at UCSF, San Francisco, California. From UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco (UCSF), San Francisco, California; Center for Business Models in Healthcare, Chicago Illinois; Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Department of Medicine, Division of Hematology/Oncology, UCSF, San Francisco, California; and Helen Diller Family Comprehensive Cancer Center at UCSF, San Francisco, California. From UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco (UCSF), San Francisco, California; Center for Business Models in Healthcare, Chicago Illinois; Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Department of Medicine, Division of Hematology/Oncology, UCSF, San Francisco, California; and Helen Diller Family Comprehensive Cancer Center at UCSF, San Francisco, California.
Christine B WeldonFrom UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco (UCSF), San Francisco, California; Center for Business Models in Healthcare, Chicago Illinois; Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Department of Medicine, Division of Hematology/Oncology, UCSF, San Francisco, California; and Helen Diller Family Comprehensive Cancer Center at UCSF, San Francisco, California. From UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco (UCSF), San Francisco, California; Center for Business Models in Healthcare, Chicago Illinois; Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Department of Medicine, Division of Hematology/Oncology, UCSF, San Francisco, California; and Helen Diller Family Comprehensive Cancer Center at UCSF, San Francisco, California. From UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco (UCSF), San Francisco, California; Center for Business Models in Healthcare, Chicago Illinois; Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Department of Medicine, Division of Hematology/Oncology, UCSF, San Francisco, California; and Helen Diller Family Comprehensive Cancer Center at UCSF, San Francisco, California.
R Kate KelleyFrom UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco (UCSF), San Francisco, California; Center for Business Models in Healthcare, Chicago Illinois; Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Department of Medicine, Division of Hematology/Oncology, UCSF, San Francisco, California; and Helen Diller Family Comprehensive Cancer Center at UCSF, San Francisco, California. From UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco (UCSF), San Francisco, California; Center for Business Models in Healthcare, Chicago Illinois; Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Department of Medicine, Division of Hematology/Oncology, UCSF, San Francisco, California; and Helen Diller Family Comprehensive Cancer Center at UCSF, San Francisco, California.
Kathryn A PhillipsFrom UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco (UCSF), San Francisco, California; Center for Business Models in Healthcare, Chicago Illinois; Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Department of Medicine, Division of Hematology/Oncology, UCSF, San Francisco, California; and Helen Diller Family Comprehensive Cancer Center at UCSF, San Francisco, California. From UCSF Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), Department of Clinical Pharmacy, University of California, San Francisco (UCSF), San Francisco, California; Center for Business Models in Healthcare, Chicago Illinois; Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Department of Medicine, Division of Hematology/Oncology, UCSF, San Francisco, California; and Helen Diller Family Comprehensive Cancer Center at UCSF, San Francisco, California.

Funding

Risk-Benefit Trade-Offs for Whole Genome SequencingR01HG007063 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PHILLIPS, KATHRYN A · 2013 to 2016
$2.5M
NCI NIH HHS 5P30CA082013-15NHGRI NIH HHS R01 HG007063NHGRI NIH HHS R01HG007063
6 · The paper itself

Abstract

backgroundNext-generation tumor sequencing (NGTS) panels, which include multiple established and novel targets across cancers, are emerging in oncology practice, but lack formal positive coverage by US payers. Lack of coverage may impact access and adoption. This study identified challenges of NGTS coverage by private payers.

methodsWe conducted semi-structured interviews with 14 NGTS experts on potential NGTS benefits, and with 10 major payers, representing more than 125,000,000 enrollees, on NGTS coverage considerations. We used the framework approach of qualitative research for study design and thematic analyses and simple frequencies to further describe findings.

resultsAll interviewed payers see potential NGTS benefits, but all noted challenges to formal coverage: 80% state that inherent features of NGTS do not fit the medical necessity definition required for coverage, 70% view NGTS as a bundle of targets versus comprehensive tumor characterization and may evaluate each target individually, and 70% express skepticism regarding new evidence methods proposed for NGTS. Fifty percent of payers expressed sufficient concerns about NGTS adoption and implementation that will preclude their ability to issue positive coverage policies.

conclusionsPayers perceive that NGTS holds significant promise but, in its current form, poses disruptive challenges to coverage policy frameworks. Proactive multidisciplinary efforts to define the direction for NGTS development, evidence generation, and incorporation into coverage policy are necessary to realize its promise and provide patient access. This study contributes to current literature, as possibly the first study to directly interview US payers on NGTS coverage and reimbursement.

Indexed as

High-Throughput Nucleotide SequencingNeoplasmsPolicy MakingCaliforniaExpert TestimonyHealth Care SurveysHumansInsurance CoverageMedical Oncology

Identifiers

PMID25736008
PMCPMC4372087

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.