Evidence map›Paper›PMID 29733704›Full record

ArticleHealth affairs (Project Hope)2018

Genetic Test Availability And Spending: Where Are We Now? Where Are We Going?

Kathryn A Phillips, Patricia A Deverka, Gillian W Hooker, Michael P Douglas

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 2 pooled it
39.2field-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

96 citing papers in PubMed, 2 syntheses or guidelines pooled it, 226 citations in OpenAlex.

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36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Kathryn A PhillipsKathryn A. Phillips ( Kathryn.Phillips@ucsf.edu ) is a professor of health economics and health services research in the Center for Translational and Policy Research on Personalized Medicine, Department of Clinical Pharmacy, University of California San Francisco (UCSF).
Patricia A DeverkaPatricia A. Deverka is a senior researcher at the American Institutes for Research, in Chapel Hill, North Carolina.
Gillian W HookerGillian W. Hooker is vice president of clinical development at Concert Genetics, in Franklin, Tennessee.
Michael P DouglasMichael P. Douglas is a program manager in the Center for Translational and Policy Research on Personalized Medicine, Department of Clinical Pharmacy, UCSF.
American Institutes for Research · USCenter For Policy Research · USInstitut thématique Génétique, génomique et bioinformatique · FR

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
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 HG007063NHGRI NIH HHS U01 HG009599
6 · The paper itself

Abstract

Genetic testing and spending on that testing have grown rapidly since the mapping of the human genome in 2003. However, it is not widely known how many tests there are, how they are used, and how they are paid for. Little evidence from large data sets about their use has emerged. We shed light on the issue of genetic testing by providing an overview of the testing landscape. We examined test availability and spending for the full spectrum of genetic tests, using unique data sources on test availability and commercial payer spending for privately insured populations, focusing particularly on tests measuring multiple genes in the period 2014-17. We found that there were approximately 75,000 genetic tests on the market, with about ten new tests entering the market daily. Prenatal tests accounted for the highest percentage of spending on genetic tests, and spending on hereditary cancer tests accounted for the second-highest. Our results provide insights for those interested in assessing genetic testing markets, test usage, and health policy implications, including current debates over the most appropriate regulatory and payer coverage mechanisms.

Indexed as

Health ExpendituresCohort StudiesDatabases, FactualFemaleForecastingGenetic ServicesGenetic TestingHealth Services AccessibilityHumansMaleRetrospective StudiesUnited StatesGenetic TestingHealth EconomicsMarket

Identifiers

PMID29733704
PMCPMC5987210
OpenAlexW2799351018

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.