The effect of disease risk probability and disease type on interest in clinic-based versus direct-to-consumer genetic testing services

The effect of disease-specific cognitions on interest in clinic-based and direct-to-consumer (DTC) genetic testing was assessed. Participants (N = 309) responded to an online hypothetical scenario and received genetic testing-related messages that varied by risk probability (25, 50, 75 %) and diseas...

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Hauptverfasser: Sherman, Kerry (VerfasserIn) , Shaw, Laura-Kate (VerfasserIn) , Champion, Katrina (VerfasserIn) , Caldeira, Fernanda (VerfasserIn) , McCaskill, Margaret (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: March 27, 2015
In: Journal of behavioral medicine
Year: 2015, Jahrgang: 38, Heft: 5, Pages: 706-714
ISSN:1573-3521
DOI:10.1007/s10865-015-9630-9
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s10865-015-9630-9
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Verfasserangaben:Kerry Sherman, Laura-Kate Shaw, Katrina Champion, Fernanda Caldeira, Margaret McCaskill
Beschreibung
Zusammenfassung:The effect of disease-specific cognitions on interest in clinic-based and direct-to-consumer (DTC) genetic testing was assessed. Participants (N = 309) responded to an online hypothetical scenario and received genetic testing-related messages that varied by risk probability (25, 50, 75 %) and disease type (Alzheimer’s disease vs. Type 2 Diabetes). Post-manipulation interest increased for both testing types, but was greater for clinic-based testing. Interest was greater for Type 2 Diabetes than for Alzheimer’s disease, the latter perceived as more severe and likely, and less treatable and preventable. For DTC testing only, participants allocated to the high risk condition (75 %) had greater testing interest than those in the low (25 %) category. DTC testing is perceived as a viable, but less preferred, option compared with clinic-based testing. Particularly when considering DTC genetic testing, there is a need to emphasize subjective disease-related perceptions, including risk probability.
Beschreibung:Gesehen am 17.06.2020
Beschreibung:Online Resource
ISSN:1573-3521
DOI:10.1007/s10865-015-9630-9