Evidence map›Paper›PMID 29065945›Full record

ArticleInternational journal of technology assessment in health care2017

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

James D Chambers, Cayla J Saret, Jordan E Anderson, Patricia A Deverka, Michael P Douglas, Kathryn A Phillips

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
18.5field-weighted citation impact, top 1% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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
  6. Article
  7. Use of Real-World Evidence in US Payer Coverage Decision-Making for Next-Generation Sequencing-Based Tests: Challenges, Opportunities, and Potential Solutions.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
    Review
  8. Review
  9. Genomic testing in pediatric epilepsy.Cold Spring Harbor molecular case studies · 2019
    Review
  10. Article
  11. 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

6 authors at 3 institutions in 1 country.

James D ChambersCenter for the Evaluation of Value and Risk in Health,Institute for Clinical Research and Health Policy Studies,Tufts Medical Center,Tufts University School of Medicinejchambers@tuftsmedicalcenter.org.
Cayla J SaretCenter for the Evaluation of Value and Risk in Health,Institute for Clinical Research and Health Policy Studies,Tufts Medical Center.
Jordan E AndersonCenter for the Evaluation of Value and Risk in Health,Institute for Clinical Research and Health Policy Studies,Tufts Medical Center.
Patricia A DeverkaAmerican Institutes for Research,Department of Research and Evaluation.
Michael P DouglasUniversity of California at San Francisco,Department of Clinical Pharmacy.
Kathryn A PhillipsUniversity of California at San Francisco,Department of Clinical Pharmacy.
Tufts Medical Center · USUniversity of California, San Francisco · USAmerican Institutes for Research · US

Funding

Risk-Benefit Trade-Offs for Whole Genome SequencingR01HG007063 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PHILLIPS, KATHRYN A · 2013 to 2016
$2.5M
NHGRI NIH HHS R01 HG007063
6 · The paper itself

Abstract

objectivesThe 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.

methodsWe 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.

resultsFifty-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.

conclusionsPayers 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.

Indexed as

Decision MakingGenetic TestingCost-Benefit AnalysisEvidence-Based PracticeHumansInsurance CoverageInsurance, Health, ReimbursementPractice Guidelines as TopicTechnology Assessment, BiomedicalUnited StatesEvidenceMulti-gene panels and sequencing testsPayer coverage policies

Identifiers

PMID29065945
PMCPMC5732073
OpenAlexW2766518587

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.