Analysis of reimbursement (R) for next generation sequencing (NGS) on patients' tumors in the context of a personalized medicine program.

Abstract

6506 Background: R policies for NGS testing vary widely among private and public insurers. While drug costs are the greatest challenge in personalized or precision medicine, cost and R are substantial barriers to genomic profiling with NGS. We examined variation in coverage and R for a cohort of cancer patients (pts) treated at a tertiary oncology center. Methods: An Institutional Review Board approved prospective registration protocol was activated with the objective of establishing a centralized longitudinal clinical, molecular phenotypic, and research data repository for pts diagnosed with cancer. Based on provider assessment of medical necessity, mutations in 68 cancer associated genes were analyzed. Evaluation of R for NGS was performed from Sept, 2014 through Jan, 2017, with use of CPT code 81455. R was analyzed based on: payer type; pt age; localized vs. metastatic disease; and actionability of data. Results: 588 pts with evaluable analytic cases, and NGS testing, with R results shown in the table below. For groups with >= 10 pts: R frequency was highest in managed care programs, either private or Medicare, and least frequent in non-HMO Medicare (p<.001). In pts receiving R, payments by private HMOs were highest (p<.02). NGS results with labelled drug indications were associated with less frequent R (26% vs. 35%; p<.05), and lower payments (mean of $358 vs. $567; p<.02) compared to other NGS results. Younger age was associated with more frequent R (38% in pts <60 years, 24% in pts >= 60 years; p<.005). Neither cancer diagnosis nor stage were significantly associated with R. Conclusions: One third of pts received some R for NGS testing. R was more frequent and higher in managed care programs, both private and Medicare. R was more likely for younger age pts, while actionable NGS results were associated with lower R. These data demonstrate the need for rational, transparent, and consistent R policies, along with a value-based R model for NGS across all payer groups. [Table: see text]