Abstract

AbstractMental illness is one of the leading causes of disability, with direct and indirect costs posing a significant financial burden. Previously, a large prospective economic utility study (n>13,000) showed that the GeneSight® test, a psychiatric pharmacogenomic decision support tool powered by CPGx® technology, reduced medication costs, increased adherence, andreduced polypharmacy for patients who had failed monotherapy for psychiatric disorders. The current study, which is a sub-analysis of this larger study, assessed cost savings associated with combinatorial pharmacogenomic testing in patients with generalized anxiety disorder (GAD) and major depressive disorder (MDD). Medication costs were extracted using pharmacy claims data provided by Medco, a large pharmacy benefits manager, for patients with GAD (n=318) and MDD (n=459). Medication cost savings per member per year (PMPY) for 1 year following the test were compared between patients whose medication regimens were congruent with the test recommendations and those whose medication regimens were incongruent with these recommendations. When healthcare providers’ decisions were congruent with combinatorial pharmacogenomic testing, PMPY savings was $6,747 (p<0.004) for GAD patients and $3,738 (p<0.004) for MDD patients versus incongruent decisions within these disease states. Among the congruent group, GAD patients experienced greater savings in central nervous system (CNS) medications (2-fold) compared to MDD patients. Additionally, analysis of a subset of patients prescribed at least one benzodiazepine six months prior to testing (n=660) demonstrated a significant decrease in benzodiazepine drug counts (p<0.001) and refills (p<0.001) after testing. Using the GeneSight test as a treatment decision support tool for patients with GAD or MDD resulted in significant medication cost savings when HCPs made congruent decisions with the combinatorialpharmacogenomic results. Furthermore, use of the GeneSight test decreased the use of benzodiazepines.Funding AcknowledgementsResearch was funded by Assurex Health, Inc.

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