title: The application of medical decision analysis to genetic testing: an introduction.
abstract: The availability of genetic tests to diagnose or predict Alzheimer disease (AD) causes a shift in the way people think about the condition and how they assess the options available to them. Decision analysis in a quantitative approach for dealing with the uncertainties inherent in many medical decisions, including decisions about genetic testing. Decision analysis does not guarantee a good outcome, but aims to yield better overall average results by providing a framework for people to evaluate their options and minimize cognitive biases. We provide an overview of the decision analysis process, including the terms and tools commonly associated with it. We also use a recent example to demonstrate one way decision analysis has been applied to genetics in the medical literature. This paper is an introduction to subsequent papers that explore the specific question of whether decision analysis is a helpful tool for understanding the uncertainty inherent in probabilistic information about genetic risk for AD.
authors.affiliation: Stanford Program in Genomics, Ethics, and Society, Palo Alto, CA 94304, USA.
authors.forename: L M
authors.initials: LM
authors.lastname: McConnell
authors.forename: M K
authors.initials: MK
authors.lastname: Goldstein
mesh_terms: D000544:Alzheimer Disease / Q000175:diagnosis* / Q000235:genetics; D003657:Decision Making; D003661:Decision Support Techniques; D020022:Genetic Predisposition to Disease; D005820:Genetic Testing; D006801:Humans