Evidence map›Paper›PMID 32389219›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2020

Insights From a Temporal Assessment of Increases in US Private Payer Coverage of Tumor Sequencing From 2015 to 2019.

Julia R Trosman, Michael P Douglas, Su-Ying Liang, Christine B Weldon, Allison W Kurian, Robin K Kelley, Kathryn A Phillips

Open access · greenAbstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 34% of its field
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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Methods for Moving the Evaluation of Precision Medicine Into Practice and Policy.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Julia R TrosmanCenter for Translational and Policy Research on Personalized Medicine, University of California at San Francisco, San Francisco, CA, USA; Center for Business Models in Healthcare, Chicago, IL, USA. Electronic address: trosman@centerforbusinessmodels.com.
Michael P DouglasCenter for Translational and Policy Research on Personalized Medicine, University of California at San Francisco, San Francisco, CA, USA.
Su-Ying LiangPalo Alto Medical Foundation Research Institute, Palo Alto, CA, USA.
Christine B WeldonCenter for Translational and Policy Research on Personalized Medicine, University of California at San Francisco, San Francisco, CA, USA; Center for Business Models in Healthcare, Chicago, IL, USA.
Allison W KurianDepartments of Medicine & of Health Research & Policy, Stanford University, Palo Alto, CA, USA.
Robin K KelleyPhilip R. Lee Institute for Health Policy, University of California, San Francisco, San Francisco, CA, USA.
Kathryn A PhillipsCenter for Translational and Policy Research on Personalized Medicine, University of California at San Francisco, San Francisco, CA, USA; Philip R. Lee Institute for Health Policy, University of California, San Francisco, San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California at San Francisco, San Francisco, CA, USA.
University of California, San Francisco · USPalo Alto Institute · USStanford University · US

Funding

Sharing Aggregate Genomics Research Findings with Diverse Participants: A Pilot Study of an Innovative Design StrategyU01HG009599 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KOENIG, BARBARA A., KWOK, PUI-YAN · 2017 to 2021
$16.3M
Coverage, Price, and Reimbursement for Multigene Tests for Cancer and Related ConditionsR01CA221870 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PHILLIPS, KATHRYN A · 2018 to 2020
$2.2M
NCI NIH HHS R01 CA221870NHGRI NIH HHS U01 HG009599
6 · The paper itself

Abstract

objectivesTo examine the temporal trajectory of insurance coverage for next-generation tumor sequencing (sequencing) by private US payers, describe the characteristics of coverage adopters and nonadopters, and explore adoption trends relative to the Centers for Medicare and Medicaid Services' National Coverage Determination (CMS NCD) for sequencing.

methodsWe identified payers with positive coverage (adopters) or negative coverage (nonadopters) of sequencing on or before April 1, 2019, and abstracted their characteristics including size, membership in the BlueCross BlueShield Association, and whether they used a third-party policy. Using descriptive statistics, payer characteristics were compared between adopters and nonadopters and between pre-NCD and post-NCD adopters. An adoption timeline was constructed.

resultsSixty-nine payers had a sequencing policy. Positive coverage started November 30, 2015, with 1 payer and increased to 33 (48%) as of April 1, 2019. Adopters were less likely to be BlueCross BlueShield members (P < .05) and more likely to use a third-party policy (P < .001). Fifty-eight percent of adopters were small payers. Among adopters, 52% initiated coverage pre-NCD over a 25-month period and 48% post-NCD over 17 months.

conclusionsWe found an increase, but continued variability, in coverage over 3.5 years. Temporal analyses revealed important trends: the possible contribution of the CMS NCD to a faster pace of coverage adoption, the interdependence in coverage timing among BlueCross BlueShield members, the impact of using a third-party policy on coverage timing, and the importance of small payers in early adoption. Our study is a step toward systematic temporal research of coverage for precision medicine, which will inform policy and affordability assessments.

Indexed as

Health Care SectorHigh-Throughput Nucleotide SequencingHumansInsurance CoverageMedicareNeoplasmsPrecision MedicineTime FactorsUnited Statesinsurance coverageprecision medicinetemporal policy analysestumor sequencing

Identifiers

PMID32389219
PMCPMC7217867
OpenAlexW3012406987

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.