AIM: A cost-effectiveness analysis was performed to assess the potential value of companion diagnostics in supporting treatment decisions for dasatinib and nilotinib in chronic myeloid leukemia. MATERIALS & METHODS: A decision model was developed, and model inputs were taken from the literature and publicly available sources. The perspective of the healthcare sector in the Netherlands was used. Sensitivity and scenario analyses were performed to assess uncertainty in the results. RESULTS: Companion diagnostics could improve health and reduce costs, despite the estimates being uncertain owing to limited evidence for comparative effectiveness between dasatinib and nilotinib. The results were sensitive to the cost of treatment, utility of progression and progression-free survival. CONCLUSION: This case demonstrates the use of cost-effectiveness analysis at an early stage of health technology assessment to generate economic evidence for the use of companion diagnostics in treatment decisions and to support decision-making for their development.
AIM: A cost-effectiveness analysis was performed to assess the potential value of companion diagnostics in supporting treatment decisions for dasatinib and nilotinib in chronic myeloid leukemia. MATERIALS & METHODS: A decision model was developed, and model inputs were taken from the literature and publicly available sources. The perspective of the healthcare sector in the Netherlands was used. Sensitivity and scenario analyses were performed to assess uncertainty in the results. RESULTS: Companion diagnostics could improve health and reduce costs, despite the estimates being uncertain owing to limited evidence for comparative effectiveness between dasatinib and nilotinib. The results were sensitive to the cost of treatment, utility of progression and progression-free survival. CONCLUSION: This case demonstrates the use of cost-effectiveness analysis at an early stage of health technology assessment to generate economic evidence for the use of companion diagnostics in treatment decisions and to support decision-making for their development.
Authors: Brian Godman; Alexander E Finlayson; Parneet K Cheema; Eva Zebedin-Brandl; Inaki Gutiérrez-Ibarluzea; Jan Jones; Rickard E Malmström; Elina Asola; Christoph Baumgärtel; Marion Bennie; Iain Bishop; Anna Bucsics; Stephen Campbell; Eduardo Diogene; Alessandra Ferrario; Jurij Fürst; Kristina Garuoliene; Miguel Gomes; Katharine Harris; Alan Haycox; Harald Herholz; Krystyna Hviding; Saira Jan; Marija Kalaba; Christina Kvalheim; Ott Laius; Sven-Ake Lööv; Kamila Malinowska; Andrew Martin; Laura McCullagh; Fredrik Nilsson; Ken Paterson; Ulrich Schwabe; Gisbert Selke; Catherine Sermet; Steven Simoens; Dominik Tomek; Vera Vlahovic-Palcevski; Luka Voncina; Magdalena Wladysiuk; Menno van Woerkom; Durhane Wong-Rieger; Corrine Zara; Raghib Ali; Lars L Gustafsson Journal: BMC Med Date: 2013-08-13 Impact factor: 8.775