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ABSTRACT: Purpose
There is uncertainty about when personalized medicine tests provide economic value. We assessed evidence on the economic value of personalized medicine tests and gaps in the evidence base.Methods
We created a unique evidence base by linking data on published cost-utility analyses from the Tufts Cost-Effectiveness Analysis Registry with data measuring test characteristics and reflecting where value analyses may be most needed: (i) tests currently available or in advanced development, (ii) tests for drugs with Food and Drug Administration labels with genetic information, (iii) tests with demonstrated or likely clinical utility, (iv) tests for conditions with high mortality, and (v) tests for conditions with high expenditures.Results
We identified 59 cost-utili
SUBMITTER: Phillips KA
PROVIDER: S-EPMC3949119 | biostudies-literature | 2014 Mar
REPOSITORIES: biostudies-literature