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

Pharmacogenomics. 2020 Jun;21(8):521-531. doi: 10.2217/pgs-2020-0012. Epub 2020 Apr 17.

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.

Keywords: ICER; QALY; cost; cost saving; cost–effectiveness; depression; genetic testing; pharmacogenetics; pharmacogenomics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Canada / epidemiology
  • Cost-Benefit Analysis / methods*
  • Depression / diagnosis
  • Depression / economics*
  • Depression / epidemiology*
  • Humans
  • National Health Programs / economics*
  • Pharmacogenomic Testing / economics*
  • Pharmacogenomic Testing / methods*