Literature DB >> 24577154

Impact of delivery models on understanding genomic risk for type 2 diabetes.

S B Haga1, W T Barry, R Mills, L Svetkey, S Suchindran, H F Willard, G S Ginsburg.   

Abstract

BACKGROUND: Genetic information, typically communicated in-person by genetic counselors, can be challenging to comprehend; delivery of this information online--as is becoming more common--has the potential of increasing these challenges.
METHODS: To address the impact of the mode of delivery of genomic risk information, 300 individuals were recruited from the general public and randomized to receive genomic risk information for type 2 diabetes mellitus in-person from a board-certified genetic counselor or online through the testing company's website.
RESULTS: Participants were asked to indicate their genomic risk and overall lifetime risk as reported on their test report as well as to interpret their genomic risk (increased, decreased, or same as population). For each question, 59% of participants correctly indicated their risk. Participants who received their results in-person were more likely than those who reviewed their results on-line to correctly interpret their genomic risk (72 vs. 47%, p = 0.0002) and report their actual genomic risk (69 vs. 49%, p = 0.002).
CONCLUSIONS: The delivery of personal genomic risk through a trained health professional resulted in significantly higher comprehension. Therefore, if the online delivery of genomic test results is to become more widespread, further evaluation of this method of communication may be needed to ensure the effective presentation of results to promote comprehension.
© 2014 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2014        PMID: 24577154      PMCID: PMC4028057          DOI: 10.1159/000358413

Source DB:  PubMed          Journal:  Public Health Genomics        ISSN: 1662-4246            Impact factor:   2.000


  85 in total

1.  Helping patients decide: ten steps to better risk communication.

Authors:  Angela Fagerlin; Brian J Zikmund-Fisher; Peter A Ubel
Journal:  J Natl Cancer Inst       Date:  2011-09-19       Impact factor: 13.506

2.  "It's not like judgment day": public understanding of and reactions to personalized genomic risk information.

Authors:  Erynn S Gordon; Georgia Griffin; Lisa Wawak; Hauchie Pang; Sarah E Gollust; Barbara A Bernhardt
Journal:  J Genet Couns       Date:  2011-12-17       Impact factor: 2.537

3.  An interactive computer program can effectively educate patients about genetic testing for breast cancer susceptibility.

Authors:  M J Green; B B Biesecker; A M McInerney; D Mauger; N Fost
Journal:  Am J Med Genet       Date:  2001-09-15

4.  The role of disease perceptions and results sharing in psychological adaptation after genetic susceptibility testing: the REVEAL Study.

Authors:  Sato Ashida; Laura M Koehly; J Scott Roberts; Clara A Chen; Susan Hiraki; Robert C Green
Journal:  Eur J Hum Genet       Date:  2010-07-28       Impact factor: 4.246

5.  Reporting Down syndrome screening results: women's understanding of risk.

Authors:  Cate Nagle; Ryan Hodges; Rory Wolfe; Euan M Wallace
Journal:  Prenat Diagn       Date:  2009-03       Impact factor: 3.050

6.  The test of functional health literacy in adults: a new instrument for measuring patients' literacy skills.

Authors:  R M Parker; D W Baker; M V Williams; J R Nurss
Journal:  J Gen Intern Med       Date:  1995-10       Impact factor: 5.128

7.  Assessing oral literacy demand in genetic counseling dialogue: preliminary test of a conceptual framework.

Authors:  Debra L Roter; Lori H Erby; Susan Larson; Lee Ellington
Journal:  Soc Sci Med       Date:  2007-07-05       Impact factor: 4.634

8.  Changing inaccurate perceptions of health risk: results from a randomized trial.

Authors:  M W Kreuter; V J Strecher
Journal:  Health Psychol       Date:  1995-01       Impact factor: 4.267

9.  Patients' understanding of and responses to multiplex genetic susceptibility test results.

Authors:  Kimberly A Kaphingst; Colleen M McBride; Christopher Wade; Sharon Hensley Alford; Robert Reid; Eric Larson; Andreas D Baxevanis; Lawrence C Brody
Journal:  Genet Med       Date:  2012-07       Impact factor: 8.822

10.  Patients' understanding of genetic susceptibility testing in mainstream medicine: qualitative study on thrombophilia.

Authors:  Paula M Saukko; Sian Ellard; Suzanne H Richards; Maggie H Shepherd; John L Campbell
Journal:  BMC Health Serv Res       Date:  2007-06-12       Impact factor: 2.655

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  14 in total

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

Authors:  Kevin Sweet; Shelly Hovick; Amy C Sturm; Tara Schmidlen; Erynn Gordon; Barbara Bernhardt; Lisa Wawak; Karen Wernke; Joseph McElroy; Laura Scheinfeldt; Amanda E Toland; J S Roberts; Michael Christman
Journal:  J Genet Couns       Date:  2016-12-05       Impact factor: 2.537

2.  Outcomes of a Randomized Controlled Trial of Genomic Counseling for Patients Receiving Personalized and Actionable Complex Disease Reports.

Authors:  Kevin Sweet; Amy C Sturm; Tara Schmidlen; Joseph McElroy; Laura Scheinfeldt; Kandamurugu Manickam; Erynn S Gordon; Shelly Hovick; J Scott Roberts; Amanda Ewart Toland; Michael Christman
Journal:  J Genet Couns       Date:  2017-03-27       Impact factor: 2.537

3.  Web Platform vs In-Person Genetic Counselor for Return of Carrier Results From Exome Sequencing: A Randomized Clinical Trial.

Authors:  Barbara B Biesecker; Katie L Lewis; Kendall L Umstead; Jennifer J Johnston; Erin Turbitt; Kristen P Fishler; John H Patton; Ilana M Miller; Alexis R Heidlebaugh; Leslie G Biesecker
Journal:  JAMA Intern Med       Date:  2018-03-01       Impact factor: 21.873

Review 4.  A Systematic Review of Randomized Controlled Trials to Assess Outcomes of Genetic Counseling.

Authors:  Barbara A Athens; Samantha L Caldwell; Kendall L Umstead; Philip D Connors; Ethan Brenna; Barbara B Biesecker
Journal:  J Genet Couns       Date:  2017-03-02       Impact factor: 2.537

5.  Barriers and Facilitators for Population Genetic Screening in Healthy Populations: A Systematic Review.

Authors:  Emily C Shen; Swetha Srinivasan; Lauren E Passero; Caitlin G Allen; Madison Dixon; Kimberly Foss; Brianna Halliburton; Laura V Milko; Amelia K Smit; Rebecca Carlson; Megan C Roberts
Journal:  Front Genet       Date:  2022-07-04       Impact factor: 4.772

Review 6.  Considerations for developing regulations for direct-to-consumer genetic testing: a scoping review using the 3-I framework.

Authors:  Alexandra Cernat; Naazish S Bashir; Wendy J Ungar
Journal:  J Community Genet       Date:  2022-02-16

Review 7.  Genomic-based tools for the risk assessment, management, and prevention of type 2 diabetes.

Authors:  Katherine A Johansen Taber; Barry D Dickinson
Journal:  Appl Clin Genet       Date:  2015-01-07

Review 8.  The effect of communicating the genetic risk of cardiometabolic disorders on motivation and actual engagement in preventative lifestyle modification and clinical outcome: a systematic review and meta-analysis of randomised controlled trials.

Authors:  Sherly X Li; Zheng Ye; Kevin Whelan; Helen Truby
Journal:  Br J Nutr       Date:  2016-07-13       Impact factor: 3.718

9.  How, who, and when: preferences for delivery of genome sequencing results among women diagnosed with breast cancer at a young age.

Authors:  Kimberly A Kaphingst; Jennifer Ivanovich; Ashley Elrick; Rebecca Dresser; Cindy Matsen; Melody S Goodman
Journal:  Mol Genet Genomic Med       Date:  2016-10-24       Impact factor: 2.183

Review 10.  Internet-Based Direct-to-Consumer Genetic Testing: A Systematic Review.

Authors:  Loredana Covolo; Sara Rubinelli; Elisabetta Ceretti; Umberto Gelatti
Journal:  J Med Internet Res       Date:  2015-12-14       Impact factor: 5.428

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