Evidence map›Paper›PMID 28062272›Full record

ArticleAmerican journal of preventive medicine2017

Disclosing Genetic Risk for Coronary Heart Disease: Attitudes Toward Personal Information in Health Records.

Sherry-Ann Brown, Hayan Jouni, Tariq S Marroush, Iftikhar J Kullo

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Sherry-Ann BrownDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota.
Hayan JouniDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota.
Tariq S MarroushDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota.
Iftikhar J KulloDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota. Electronic address: kullo.iftikhar@mayo.edu.

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
EMR Phenotypes and Community Engaged Genomic AssociationsU01HG004599 · NHGRI · MAYO CLINIC ROCHESTER · PI CHUTE, CHRISTOPHER G · 2007 to 2010
$3.7M
NCATS NIH HHS UL1 TR000135NHGRI NIH HHS U01 HG004599NHGRI NIH HHS U01 HG006379
6 · The paper itself

Abstract

introductionIncorporating genetic risk information in electronic health records (EHRs) will facilitate implementation of genomic medicine in clinical practice. However, little is known about patients' attitudes toward incorporation of genetic risk information as a component of personal health information in EHRs. This study investigated whether disclosure of a genetic risk score (GRS) for coronary heart disease influences attitudes toward incorporation of personal health information including genetic risk in EHRs.

methodsParticipants aged 45-65 years with intermediate 10-year coronary heart disease risk were randomized to receive a conventional risk score (CRS) alone or with a GRS from a genetic counselor, followed by shared decision making with a physician using the same standard presentation and information templates for all study participants. The CRS and GRS were then incorporated into the EHR and made accessible to both patients and physicians. Baseline and post-disclosure surveys were completed to assess whether attitudes differed by GRS disclosure. Data were collected from 2013 to 2015 and analyzed in 2015-2016.

resultsGRS and CRS participants reported similar positive attitudes toward incorporation of genetic risk information in the EHR. Compared with CRS participants, participants with high GRS were more concerned about the confidentiality of genetic risk information (OR=3.67, 95% CI=1.29, 12.32, p=0.01). Post-disclosure, frequency of patient portal access was associated with positive attitudes.

conclusionsParticipants in this study of coronary heart disease risk disclosure overall had positive attitudes toward incorporation of genetic risk information in EHRs, although those who received genetic risk information had concerns about confidentiality.

Indexed as

DisclosureElectronic Health RecordsAttitude to HealthConfidentialityCoronary DiseaseFemaleGenetic Predisposition to DiseaseHumansMaleMiddle Aged

Identifiers

PMID28062272
PMCPMC5362329

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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.