Evidence map›Paper›PMID 29181085›Full record

ArticlePersonalized medicine2016

Communication challenges for nongeneticist physicians relaying clinical genomic results.

Nonie S Arora, J Kelly Davis, Christine Kirby, Amy L McGuire, Robert C Green, J S Blumenthal-Barby, Peter A Ubel, MedSeq Project

Abstract read
In one paragraph

Article in Personalized medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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.

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  19. How Can Law and Policy Advance Quality in Genomic Analysis and Interpretation for Clinical Care?The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2020
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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

8 authors.

Nonie S AroraUniversity of Michigan Medical School, Ann Arbor, MI 48109, USA.
J Kelly DavisDuke-Margolis Health Policy Center, Durham, NC 27708, USA.
Christine KirbyDuke-Margolis Health Policy Center, Durham, NC 27708, USA.
Amy L McGuireCenter for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX 77030, USA.
Robert C GreenDivision of Genetics, Department of Medicine, Brigham & Women's Hospital, Boston, MA 02115, USA.
J S Blumenthal-BarbyCenter for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX 77030, USA.
Peter A UbelDuke-Margolis Health Policy Center, Durham, NC 27708, USA.
MedSeq Project

Funding

Integration of Whole Genome Sequencing into Clinical MedicineU01HG006500 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2012 to 2016
$11.5M
NHGRI NIH HHS U01 HG006500
6 · The paper itself

Abstract

aimIdentify the behavioral challenges to the use of genome sequencing (GS) in a clinical setting. MATERIALS &

methodsWe observed how general internists and nongenetic specialists delivered GS results to patients enrolled in the MedSeq Project. Using transcripts of such disclosure interactions, we made qualitative observations of communication behaviors that could limit the usefulness of GS results until reaching the point of thematic saturation.

resultsFindings included confusion regarding genomic terminology, difficulty with the volume or complexity of information and difficulties communicating complex risk information to patients. We observed a broad dismissal of clinical value of GS by some physicians and sometimes ineffective communication regarding health behavior change.

conclusionOvercoming these behavioral challenges is necessary to make full use of clinical GS results.

Indexed as

behavior changeclinical genomicsELSIgenetic literacyphysician–patient communicationqualitative researchwhole genome sequencing

Identifiers

PMID29181085
PMCPMC5696619

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.