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Thought Leader Comparisons of Risks in Precision Medicine Research
Author(s) -
Beskow Laura M.,
HammackAviran Catherine M.,
Brelsford Kathleen M.
Publication year - 2020
Publication title -
ethics and human research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 32
eISSN - 2578-2363
pISSN - 2578-2355
DOI - 10.1002/eahr.500059
Subject(s) - chose , data science , internet privacy , informed consent , health records , precision medicine , biobank , computer science , psychology , alternative medicine , medical education , medicine , health care , political science , bioinformatics , pathology , law , biology
Biomedical research is increasingly capitalizing on an array of data to illuminate the interplay between “omics,” lifestyle, and health. Leveraging this information presents opportunities to advance knowledge but also poses risks to research participants. In interviews with thought leaders, we asked which data type associated with a hypothetical precision medicine research endeavor was riskiest: 42% chose ongoing access to electronic health records, 17% chose genomic analyses of biospecimens, and 15% chose streaming data from mobile devices. Other responses included “It depends” (15%), the three types are equally risky (8%), and the combination of data types together is riskiest (3%). When asked to consider the hypothetical study overall, 60% rated the likelihood of the risks materializing as low, but 20% rated the potential consequences as severe. These results have implications for study design and informed consent, including placing appropriate emphasis on the risks and protections for the full range of data.