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NGS-based diagnostic testing compared to single-marker genetic testing (SMGT), has the potential to improve testing efficiency and to identify more cancer patients who could benefit from targeted therapies, but the impact on outcomes and total costs of care is uncertain. Recent studies using simulation modeling informed with data from the Flatiron Health database, representing curated electronic health record-derived clinical information from 191 oncology practices, has shown only moderate cost effectiveness of NGS vs. SGMT for patients with advanced non-small cell lung cancer (aNSCLC). The data suggests, however, that efforts to increase the proportion of patients who receive targeted therapies would improve the cost-effectiveness of NGS. To effectively inform access and reimbursement policy decisions there is a need to examine the NGS value proposition from the perspective of all stakeholders.
Author(s) and affiliation(s): Lotte Steuten (Office of Health Economics, London, UK); Bernardo Goulart (Fred Hutchinson Cancer Research Center, Seattle, WA, US & Seattle Cancer Care Alliance, Seattle, WA, US); Neal J. Meropol (Flatiron Health, New York, NY, US & Case Western Reserve University, Cleveland, OH, US); Daryl Pritchard (Personalized Medicine Coalition, Washington, DC, US); and Scott D. Ramsey (Fred Hutchinson Cancer Research Center, Seattle, WA, US)
Event: ISPOR 2019
Location: New Orleans, LA, United States