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Abstract
Costly targeted cancer treatments challenge publicly-funded healthcare systems seeking to align expected benefit with value for money. In 2021, The Canadian Agency for Drugs and Technologies in Health (CADTH) published a provisional funding algorithm for risk-based treatment of chronic lymphocytic leukemia (CLL). We estimate the cost-effectiveness of this algorithm against current standard of care. We constructed a probabilistic Markov model comparing next generation sequencing (NGS) assay-guided front-line treatment of acalabrutinib versus venetoclax with obinutuzumab to a comparator wherein patients initiate acalabrutinib. The primary outcome was the incremental cost-effectiveness ratio (ICER) per quality-adjusted life-year (QALY) gained. Analyses were conducted from the British Columbia healthcare system perspective, with outcomes discounted at 1.5%. Assay informed treatment for patients with CLL resulted in an incremental cost effectiveness ratio of $18,040 (95% CI $16,491–$19,501) per quality adjusted life-year (QALY) gained. The probability of the NGS guided treatment algorithm being cost effective was 80% at a willingness to pay threshold of $50,000 and a corresponding ICER of $18,040. Assay-guided treatment sequencing adds additional costs to healthcare but may be a cost-effective intervention for adult patients with CLL. Integration of real-world evidence would improve the validity and reliability of model estimated for decision-makers.
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Details
1 Cancer Control Research, BC Cancer, Vancouver, Canada; Simon Fraser University, Faculty of Health Sciences, Burnaby, Canada (GRID:grid.61971.38) (ISNI:0000 0004 1936 7494)
2 Cancer Control Research, BC Cancer, Vancouver, Canada (GRID:grid.61971.38)
3 University of British Columbia, Division of Medical Oncology, Faculty of Medicine, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); Centre for Lymphoid Cancer, BC Cancer, Vancouver, Canada (GRID:grid.248762.d) (ISNI:0000 0001 0702 3000)
4 Cancer Control Research, BC Cancer, Vancouver, Canada (GRID:grid.248762.d)
5 Cancer Control Research, BC Cancer, Vancouver, Canada (GRID:grid.248762.d); University of British Columbia, School of Population and Public Health, Faculty of Medicine, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)