Cost-effectiveness of combinatorial pharmacogenomic testing for depression from the Canadian public payer perspective

24Citations
Citations of this article
40Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Aim: Evaluate the cost-effectiveness of combinatorial pharmacogenomic (PGx) testing, versus treatment as usual (TAU), to guide treatment for patients with depression, from the Canadian public healthcare system perspective. Materials & methods: Clinical and economic data associated with depression were extracted from published literature. Clinical (quality-adjusted life years; QALYs) and economic (incremental cost-effectiveness ratio) outcomes were modeled using combinatorial PGx and TAU treatment strategies across a 5-year time horizon. Results: With the combinatorial PGx strategy to guide treatment, patients were projected to gain 0.14-0.19 QALYs versus TAU. Accounting for test price, combinatorial PGx saved CAD $1,687-$3,056 versus TAU. Incremental cost-effectiveness ratios ranged from-$11,861 to-$16,124/QALY gained. Conclusion: Combinatorial PGx testing was more efficacious and less costly compared with the TAU for depression.

Cite

CITATION STYLE

APA

Tanner, J. A., Davies, P. E., Overall, C. C., Grima, D., Nam, J., & Dechairo, B. M. (2020). Cost-effectiveness of combinatorial pharmacogenomic testing for depression from the Canadian public payer perspective. Pharmacogenomics, 21(8), 521–531. https://doi.org/10.2217/pgs-2020-0012

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free