Skip to main content
release_alert
Welcome to the new Scholars 3.0! Read about new features and let us know what you think.
cancel
Journal cover image

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

Publication ,  Journal Article
Haga, SB; Barry, WT; Mills, R; Svetkey, L; Suchindran, S; Willard, HF; Ginsburg, GS
Published in: Public Health Genomics
2014

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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Public Health Genomics

DOI

EISSN

1662-8063

Publication Date

2014

Volume

17

Issue

2

Start / End Page

95 / 104

Location

Switzerland

Related Subject Headings

  • Young Adult
  • Patient Education as Topic
  • Male
  • Internet
  • Humans
  • Genomics
  • Genome, Human
  • Genetics & Heredity
  • Genetic Testing
  • Genetic Predisposition to Disease
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Haga, S. B., Barry, W. T., Mills, R., Svetkey, L., Suchindran, S., Willard, H. F., & Ginsburg, G. S. (2014). Impact of delivery models on understanding genomic risk for type 2 diabetes. Public Health Genomics, 17(2), 95–104. https://doi.org/10.1159/000358413
Haga, S. B., W. T. Barry, R. Mills, L. Svetkey, S. Suchindran, H. F. Willard, and G. S. Ginsburg. “Impact of delivery models on understanding genomic risk for type 2 diabetes.Public Health Genomics 17, no. 2 (2014): 95–104. https://doi.org/10.1159/000358413.
Haga SB, Barry WT, Mills R, Svetkey L, Suchindran S, Willard HF, et al. Impact of delivery models on understanding genomic risk for type 2 diabetes. Public Health Genomics. 2014;17(2):95–104.
Haga, S. B., et al. “Impact of delivery models on understanding genomic risk for type 2 diabetes.Public Health Genomics, vol. 17, no. 2, 2014, pp. 95–104. Pubmed, doi:10.1159/000358413.
Haga SB, Barry WT, Mills R, Svetkey L, Suchindran S, Willard HF, Ginsburg GS. Impact of delivery models on understanding genomic risk for type 2 diabetes. Public Health Genomics. 2014;17(2):95–104.
Journal cover image

Published In

Public Health Genomics

DOI

EISSN

1662-8063

Publication Date

2014

Volume

17

Issue

2

Start / End Page

95 / 104

Location

Switzerland

Related Subject Headings

  • Young Adult
  • Patient Education as Topic
  • Male
  • Internet
  • Humans
  • Genomics
  • Genome, Human
  • Genetics & Heredity
  • Genetic Testing
  • Genetic Predisposition to Disease