Characteristics of users of online personalized genomic risk assessments: implications for physician-patient interactions.
OBJECTIVE
To evaluate what psychological and behavioral factors predict who is likely to seek SNP-based genetic tests for multiple common health conditions where feedback can be used to motivate primary prevention.


METHODS
Adults aged 25-40 years who were enrolled in a large managed care organization were surveyed. Those eligible could log on to a secure study Web site to review information about the risks and benefits of a SNP-based genetic test and request free testing. Two primary outcomes are addressed: accessing the Web (yes or no) and deciding to be tested (completed a blood draw at the clinic)


RESULTS
Those considering genetic susceptibility testing did not hold genetically deterministic beliefs (0.42 on scale of 0 [behavior] to 1 [genetic]) but believed genetic information to be valuable and were confident they could understand such information. Individuals who believed it important to learn about genetics (odds ratio = 1.28), were confident they could understand genetics (odds ratio = 1.26), and reported the most health habits to change (odds ratio = 1.39) were most likely to get tested.


CONCLUSIONS
Individuals who present to health care providers with online genetics information may be among the most motivated to take steps toward healthier lifestyles. These motives might be leveraged by health care providers to promote positive health outcomes.
McBride
Colleen M
CM
Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA. cmcbride@mail.nih.gov
Alford
Sharon Hensley
SH
Reid
Robert J
RJ
Larson
Eric B
EB
Baxevanis
Andreas D
AD
Brody
Lawrence C
LC
D000328:Adult; D005260:Female; D020022:Genetic Predisposition to Disease / Q000523:psychology; D005820:Genetic Testing / Q000379:methods / Q000523:psychology* / Q000706:statistics & numerical data; D007722:Health Knowledge, Attitudes, Practice; D006306:Health Surveys; D006801:Humans; D020407:Internet / Q000706:statistics & numerical data*; D008297:Male; D015999:Multivariate Analysis; D010817:Physician-Patient Relations; D020641:Polymorphism, Single Nucleotide; D011634:Public Health / Q000379:methods / Q000706:statistics & numerical data; D018570:Risk Assessment / Q000379:methods / Q000706:statistics & numerical data; D012307:Risk Factors