Costs of in-house genomic profiling and implications for economic evaluation: A case example of non-small cell lung cancer (NSCLC)

Lung Cancer
29/06/2020

Johnston KM, et al. J Med Econ 2020.

ABSTRACT

OBJECTIVES: Genomic profiling in oncology is vital for determining eligible patients for mutation-specific targeted therapies. Use of commercial genomic testing has the potential to improve patient outcomes. Economic evaluations of in-house genomic profiling typically only include material costs while external commercial services include many other factors. Using NSCLC as an example, this study sought to characterize the unique challenges of costing testing services and their impact on results of economic evaluations.METHODS: Structured interviews with Canadian oncologists, pathologists, and laboratory directors were conducted to identify material and non-material costs associated with genomic-testing laboratories to allow estimation of a more complete cost of in-house testing, with NSCLC cost-per-test calculated using annual operational costs and NSCLC-specific testing volume. A health and budget impact model of in-house vs. external commercial profiling services was used to compare the impact of non-material costs on results.RESULTS: In-house testing costs, limited to materials, was $133/single-gene test and $1,400/panel. For a laboratory running 1,300 in-house tests/year, total annual non-material costs included equipment maintenance ($6,842), labor ($502,313; technicians, administrative, medical staff), shipping/reporting and software updates ($146,050), for an additional $519/test. The combined cost of $652/single-gene and $1,919/panel was compared to a cost of $6,194 for a commercial external test. Based on current Canadian testing patterns and anticipated utilization of external testing, inclusion of in-house non-material costs reduced the estimated three-year budget impact by 12%.CONCLUSIONS: When conducting economic evaluation to assess the value of introducing external tests, it is critical that non-material costs of standard testing strategies be measured and incorporated.