Utilization of genetic tests: analysis of gene-specific billing in Medicare claims data

Genet Med. 2017 Aug;19(8):890-899. doi: 10.1038/gim.2016.209. Epub 2017 Jan 26.

Abstract

Purpose: We examined the utilization of precision medicine tests among Medicare beneficiaries through analysis of gene-specific tier 1 and 2 billing codes developed by the American Medical Association in 2012.

Methods: We conducted a retrospective cross-sectional study. The primary source of data was 2013 Medicare 100% fee-for-service claims. We identified claims billed for each laboratory test, the number of patients tested, expenditures, and the diagnostic codes indicated for testing. We analyzed variations in testing by patient demographics and region of the country.

Results: Pharmacogenetic tests were billed most frequently, accounting for 48% of the expenditures for new codes. The most common indications for testing were breast cancer, long-term use of medications, and disorders of lipid metabolism. There was underutilization of guideline-recommended tumor mutation tests (e.g., epidermal growth factor receptor) and substantial overutilization of a test discouraged by guidelines (methylenetetrahydrofolate reductase). Methodology-based tier 2 codes represented 15% of all claims billed with the new codes. The highest rate of testing per beneficiary was in Mississippi and the lowest rate was in Alaska.

Conclusions: Gene-specific billing codes significantly improved our ability to conduct population-level research of precision medicine. Analysis of these data in conjunction with clinical records should be conducted to validate findings.Genet Med advance online publication 26 January 2017.

MeSH terms

  • Aged
  • Biomarkers, Tumor
  • Cross-Sectional Studies
  • Female
  • Genetic Predisposition to Disease
  • Genetic Testing / economics
  • Genetic Testing / statistics & numerical data*
  • Humans
  • Insurance Claim Reporting / statistics & numerical data
  • Lung Neoplasms / economics
  • Lung Neoplasms / pathology
  • Lung Neoplasms / therapy
  • Male
  • Medicare / statistics & numerical data*
  • Middle Aged
  • Precision Medicine / economics
  • Precision Medicine / statistics & numerical data
  • Retrospective Studies
  • United States

Substances

  • Biomarkers, Tumor