Literature DB >> 32597288

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

Karissa M Johnston1, Brandon S Sheffield2, Stephen Yip3, Pardis Lakzadeh1, Christina Qian1, Julian Nam4.   

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 non-small cell lung cancer (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 versus 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, and 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 3-year budget impact by 12%.
CONCLUSION: 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.

Entities:  

Keywords:  Budget impact; C52; C82; cancer testing; health economic evaluation; health economics; health technology assessments; personalized medicine; precision testing

Mesh:

Year:  2020        PMID: 32597288     DOI: 10.1080/13696998.2020.1789152

Source DB:  PubMed          Journal:  J Med Econ        ISSN: 1369-6998            Impact factor:   2.448


  4 in total

1.  Costs of Next-Generation Sequencing Assays in Non-Small Cell Lung Cancer: A Micro-Costing Study.

Authors:  Srishti Kumar; Alexandria Bennett; Pearl A Campbell; Gareth Palidwor; Bryan Lo; Theodore J Perkins; Surapon Nochaiwong; Harmanjatinder S Sekhon; David J Stewart; Kednapa Thavorn
Journal:  Curr Oncol       Date:  2022-07-23       Impact factor: 3.109

2.  Health and Budget Impact of Liquid-Biopsy-Based Comprehensive Genomic Profile (CGP) Testing in Tissue-Limited Advanced Non-Small Cell Lung Cancer (aNSCLC) Patients.

Authors:  Yuti P Patel; Donald Husereau; Natasha B Leighl; Barbara Melosky; Julian Nam
Journal:  Curr Oncol       Date:  2021-12-11       Impact factor: 3.677

3.  Identifying the Steps Required to Effectively Implement Next-Generation Sequencing in Oncology at a National Level in Europe.

Authors:  Denis Horgan; Giuseppe Curigliano; Olaf Rieß; Paul Hofman; Reinhard Büttner; Pierfranco Conte; Tanja Cufer; William M Gallagher; Nadia Georges; Keith Kerr; Frédérique Penault-Llorca; Ken Mastris; Carla Pinto; Jan Van Meerbeeck; Elisabetta Munzone; Marlene Thomas; Sonia Ujupan; Gilad W Vainer; Janna-Lisa Velthaus; Fabrice André
Journal:  J Pers Med       Date:  2022-01-08

4.  Point of Care Molecular Testing: Community-Based Rapid Next-Generation Sequencing to Support Cancer Care.

Authors:  Brandon S Sheffield; Andrea Beharry; Joanne Diep; Kirstin Perdrizet; Marco A J Iafolla; William Raskin; Shaan Dudani; Mary Anne Brett; Blerta Starova; Brian Olsen; Parneet K Cheema
Journal:  Curr Oncol       Date:  2022-02-23       Impact factor: 3.677

  4 in total

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