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Stakeholder perspectives on decision-analytic modeling frameworks to assess genetic services policy
Genetic services policymakers and insurers often make
coverage decisions in the absence of complete evidence of clinical
utility and under budget constraints. This article evaluated genetic services
stakeholder opinions on the potential usefulness of decision-analytic
modeling to inform coverage decisions, and asked them to identify
genetic tests for decision-analytic modeling studies
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