Cost-Effectiveness and Budget Impact of Future Developments With Whole-Genome Sequencing for Patients With Lung Cancer

• DOI: 10.1016/j.jval.2022.07.006
• Publication Date: 2022-08-13T11:31:27Z
• Authors: Martijn J.H.G. Si...; Carin A. Uyl-de G...; Valesca P. Retèl; Joanne M. Mankor; Bram L.T. Ramaekers; Manuela A. Joore; Wim H. van Harten
• Keywords: Lung Neoplasms; future scenarios; Cost-Benefit Analysis; Off-Label Use; value of information; decision analytic model; 3. Good health; molecular diagnostics; 03 medical and health sciences; budget impact; 0302 clinical medicine; SDG 3 - Good Health and Well-being; whole-genome sequencing; Carcinoma, Non-Small-Cell Lung; Humans; Quality-Adjusted Life Years; implementation; cost-effectiveness; Netherlands

This study aimed to investigate the cost-effectiveness, budget impact (BI), and of uncertainty future developments concerning whole-genome sequencing (WGS) as a clinical diagnostic test compared with standard care (SoC) in patients locally advanced metastatic non-small cell lung cancer.A total 3 likely scenarios take place within 5 years (according experts) were simulated using previously developed, peer reviewed, published decision model. The concerned "WGS results used for treatment selection" (scenario 1), "WGS-based biomarker immunotherapy" 2), "off-label drug approval WGS results" 3). Two strategies original model, "SoC" test" (base model), compare our with. Outcomes reported base all separately, combined (combined unweighted), weighted by likelihood weighted). Cost-effectiveness, BI, value information analyses performed SoC.Total costs quality-adjusted life-years SoC cancer €149 698 1.235. Incremental outcomes €1529/0.002(base -€222/0.020(scenario -€2576/0.023(scenario €388/0.024(scenario 3), -€5041/0.060(combined -€1715/0.029(combined annual BI adopting this population Netherlands ranged between €682 million unweighted) €714 model). consequences amounted €3.4 weighted) €699 000 yield alone weighted).Our findings suggest that it is become cost-effective near if identifies more actionable targets show regarding its yield. Modeling can be useful consider early adoption while timely anticipating on unforeseen before final conclusions are reached.