BACKGROUND: In 2011 the first payment-by-results (PbR) scheme in Catalonia was signed between the Catalan Institute of Oncology (ICO), the Catalan Health Service, and AstraZeneca (AZ) for the introduction of gefitinib in the treatment of advanced EGFR-mutation positive non-small-cell lung cancer. The PbR scheme includes two evaluation points: at week 8, responses, stabilization and progression were evaluated, and at week 16 stabilization was confirmed. AZ was to reimburse the total treatment cost of patients that failed treatment, defined as progression at weeks 8 or 16. OBJECTIVE: To estimate the financial consequences of this PbR reimbursement model and determine the perception of the stakeholders involved in the agreement. METHODS: Differential drug costs between two scenarios, with and without the PbR, were calculated. A qualitative investigation of the organizational elements was performed by interviewing the parties involved in the agreement. RESULTS: Forty-one patients were included from June 2011 to October 2013 and assessed at two evaluation points. Clinical results were comparable to those observed in the pivotal studies of gefitinib. The difference in the cost of gefitinib using the PbR compared to the traditional purchasing scenario was 6.17% less at 8 weeks, 11.18% at 16 weeks and 4.15% less for the overall treatment. The PbR resulted in total savings of around €36,000 (€880 per patient). From an operational and organizational perspective, the availability of adequate data systems to measure outcomes and monitor accountability and the involvement of healthcare professionals were acknowledged as crucial. CONCLUSIONS: Tangible and intangible benefits were identified with respect to the interests of the parties involved. This has led to the incorporation of innovation for patients under acceptable conditions.
BACKGROUND: In 2011 the first payment-by-results (PbR) scheme in Catalonia was signed between the Catalan Institute of Oncology (ICO), the Catalan Health Service, and AstraZeneca (AZ) for the introduction of gefitinib in the treatment of advanced EGFR-mutation positive non-small-cell lung cancer. The PbR scheme includes two evaluation points: at week 8, responses, stabilization and progression were evaluated, and at week 16 stabilization was confirmed. AZ was to reimburse the total treatment cost of patients that failed treatment, defined as progression at weeks 8 or 16. OBJECTIVE: To estimate the financial consequences of this PbR reimbursement model and determine the perception of the stakeholders involved in the agreement. METHODS: Differential drug costs between two scenarios, with and without the PbR, were calculated. A qualitative investigation of the organizational elements was performed by interviewing the parties involved in the agreement. RESULTS: Forty-one patients were included from June 2011 to October 2013 and assessed at two evaluation points. Clinical results were comparable to those observed in the pivotal studies of gefitinib. The difference in the cost of gefitinib using the PbR compared to the traditional purchasing scenario was 6.17% less at 8 weeks, 11.18% at 16 weeks and 4.15% less for the overall treatment. The PbR resulted in total savings of around €36,000 (€880 per patient). From an operational and organizational perspective, the availability of adequate data systems to measure outcomes and monitor accountability and the involvement of healthcare professionals were acknowledged as crucial. CONCLUSIONS: Tangible and intangible benefits were identified with respect to the interests of the parties involved. This has led to the incorporation of innovation for patients under acceptable conditions.
Entities:
Keywords:
Catalonia; Financial consequences; Oncology; Payment by results
Authors: Rick A Vreman; Thomas F Broekhoff; Hubert Gm Leufkens; Aukje K Mantel-Teeuwisse; Wim G Goettsch Journal: Int J Environ Res Public Health Date: 2020-11-10 Impact factor: 3.390
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Authors: Jaime Espin; Michael Schlander; Brian Godman; Pippa Anderson; Jorge Mestre-Ferrandiz; Isabelle Borget; Adam Hutchings; Steven Flostrand; Adam Parnaby; Claudio Jommi Journal: Appl Health Econ Health Policy Date: 2018-12 Impact factor: 2.561