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Published on: June 9, 2020
Exploratory Economic Evaluation of a Genome Precision Report in Kidney and Liver Transplantation Care
Florencia Sjaaf1, Lokman Pang2, Stephanie F T Kuo3
1Economics of Genomics and Precision Medicine Unit, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
Objectives:
To investigate the impact of including 4 domains of kidney and liver transplantation care (tacrolimus optimization, postoperative complications prevention, screening, and familial testing) on the cost-effectiveness of a genome precision report and identify key parameters driving the cost-effectiveness.
Methods:
A decision tree model-based cost-utility analysis comparing a genome precision report with standard nongenomic practice from the Australian healthcare system perspective was conducted, using data from the literature (lifetime costs and quality-adjusted life-years [QALYs] discounted at 3% to 5%, following the source studies) and the Clinical Change Project study. Costs were in 2024 Australian dollars (US dollar values converted using purchasing power parities). We conducted a stepped evaluation that sequentially added each domain, and deterministic and probabilistic sensitivity analyses.
Results:
With only the tacrolimus optimization and the postoperative complication prevention domains included, the incremental cost and QALY compared with standard practice were AU$2030 (US$1471) and 0.0003, respectively (incremental cost-effectiveness ratio: AU$6.2 million [US$4.5 million] per QALY gained). Including all 4 domains reduced the incremental cost to AU$1800 (US$1300) and increased the QALYs gained to 0.0170 (incremental cost-effectiveness ratio: AU$106 000 [US$77 000] per QALY gained). Results were sensitive to genomic test cost, incremental cost and QALY after germline cancer and cardiovascular conditions screening, rejection rates, and cascade-testing uptake. The probability of cost-effectiveness was 0.14 to 0.79 at AU$50 000 to 150 000 (US$36 234-108 701) per QALY thresholds.
Conclusion:
Considering wider benefits of genomic medicine can materially change its estimated cost-effectiveness. Lower genomic test cost and better quantification of genotype-guided tacrolimus dosing benefits could improve its cost-effectiveness in Australia.
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