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In genetic medicine, a patient's diagnosis can mean their family members are also at risk, raising a question about how consent and confidentiality should function in clinical genetics. This question is particularly pressing when it is unclear whether a patient has shared information. Conventionally, healthcare professionals view confidentiality at an individual level and 'disclosure without consent' as the exception, not the rule. The relational joint account model, by contrast, conceptualises genetic information as confidential at the familial level and encourages professionals to take disclosure as the default position. In this study, we interviewed 33 patients about consent and confidentiality and analysed data thematically. Our first theme showed that although participants thought of certain aspects of genetic conditions--for example, the way they affect day-to-day health--as somewhat personal, they perceived genetic information--for example, the mutation in isolation--as familial. Most thought these elements were separable and thought family members had a right to know the latter, identifying a broad range of harms that would justify disclosure. Our second theme illustrated that participants nonetheless had some concerns about what, if any, implications there would be of professionals treating such information as familial and they emphasised the importance of being informed about the way their information would be shared. Based on these results, we recommend that professionals take disclosure as the default position, but make clear that they will treat genetic information as familial during initial consultations and address any concerns therein.

Original publication

DOI

10.1136/medethics-2015-102781

Type

Journal article

Journal

Journal of medical ethics

Publication Date

03/2016

Volume

42

Pages

174 - 179

Addresses

Clinical Ethics and Law, Faculty of Medicine, University of Southampton, Southampton, UK.

Keywords

Humans, Disclosure, Information Dissemination, Family, Confidentiality, Genetic Research, Genetic Privacy, Informed Consent, Health Personnel