Evidence map›Paper›PMID 27921197›Full record

ArticleJournal of genetic counseling2017

Counselees' Perspectives of Genomic Counseling Following Online Receipt of Multiple Actionable Complex Disease and Pharmacogenomic Results: a Qualitative Research Study.

Kevin Sweet, Shelly Hovick, Amy C Sturm, Tara Schmidlen, Erynn Gordon, Barbara Bernhardt, Lisa Wawak, Karen Wernke, Joseph McElroy, Laura Scheinfeldt and 3 more

Abstract read
In one paragraph

Article in Journal of genetic counseling, 2017. 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
–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

12 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Genetic Counseling, Personalized Medicine, and Precision Health.Cold Spring Harbor perspectives in medicine · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. 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

13 authors.

Kevin SweetDivision of Human Genetics, Ohio State University Wexner Medical Center, 2012 Kenny Road, Columbus, OH, 43221, USA. Kevin.Sweet@osumc.edu.ORCID http://orcid.org/0000-0002-9131-347X
Shelly HovickSchool of Communication, Ohio State University, Columbus, OH, 43214, USA.
Amy C SturmDivision of Human Genetics, Ohio State University Wexner Medical Center, 2012 Kenny Road, Columbus, OH, 43221, USA.
Tara SchmidlenCoriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA.
Erynn Gordon23andMe, Mountain View, CA, 94043, USA.
Barbara BernhardtDivision of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Lisa WawakCoriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA.
Karen WernkeDivision of Human Genetics, Ohio State University Wexner Medical Center, 2012 Kenny Road, Columbus, OH, 43221, USA.
Joseph McElroyDepartment of Biomedical Informatics, Center for Biostatistics, Columbus, OH, 43221, USA.
Laura ScheinfeldtCoriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA.
Amanda E TolandDivision of Human Genetics, Ohio State University Wexner Medical Center, 2012 Kenny Road, Columbus, OH, 43221, USA.
J S RobertsDepartment of Health Behavior & Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Michael ChristmanCoriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA.

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Assessing the utility of genomic counseling for common complex diseasesR21HG006575 · NHGRI · OHIO STATE UNIVERSITY · PI CHRISTMAN, MICHAEL F, SWEET, KEVIN M. · 2013 to 2014
$477k
NCI NIH HHS P30 CA016058NHGRI NIH HHS R21 HG006575
6 · The paper itself

Abstract

Genomic applications raise multiple challenges including the optimization of genomic counseling (GC) services as part of the results delivery process. More information on patients' motivations, preferences, and informational needs are essential to guide the development of new, more efficient practice delivery models that capitalize on the existing strengths of a limited genetic counseling workforce. Semi-structured telephone interviews were conducted with a subset of counselees from the Coriell Personalized Medicine Collaborative following online receipt of multiple personalized genomic test reports. Participants previously had either in-person GC (chronic disease cohort, n = 20; mean age 60 years) or telephone GC (community cohort, n = 31; mean age 46.8 years). Transcripts were analyzed using a Grounded Theory framework. Major themes that emerged from the interviews include 1) primary reasons for seeking GC were to clarify results, put results into perspective relative to other health-related concerns, and to receive personalized recommendations; 2) there is need for a more participant driven approach in terms of mode of GC communication (in-person, phone, video), and refining the counseling agenda pre-session; and 3) there was strong interest in the option of follow up GC. By clarifying counselees' expectations, views and desired outcomes, we have uncovered a need for a more participant-driven GC model when potentially actionable genomic results are received online.

Indexed as

InternetPatient Acceptance of Health CarePatient SatisfactionPharmacogeneticsPrecision MedicineProfessional-Patient RelationsAdultAgedFemaleGenetic CounselingHumansMaleMiddle AgedQualitative ResearchComplex diseaseCounselingGeneticGenomicPractice modelsQualitative interviewsService delivery

Identifiers

PMID27921197
PMCPMC5459668

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.