Performance-based risk-sharing arrangements for devices and procedures in cardiac electrophysiology: an innovative perspective

• Published in: Europace (London, England) England), 2022-10, Vol.24 (10), p.1541-1547
• Main Authors: Boriani, Giuseppe, Vitolo, Marco, Svennberg, Emma, Casado-Arroyo, Ruben, Merino, Josè L, Leclercq, Christophe
• Format: Article
• Language: English
• Subjects: Bioengineering; Cardiology and cardiovascular system; Human health and pathology; Life Sciences; Medicin och hälsovetenskap
• ISSN: 1099-5129; 1532-2092; 1532-2092
• DOI: 10.1093/europace/euac045

There is an increasing pressure on demonstrating the value of medical interventions and medical technologies resulting in the proposal of new approaches for implementation in the daily practice of innovative treatments that might carry a substantial cost. While originally mainly adopted by pharmaceutical companies, in recent years medical technology companies have initiated novel value-based arrangements for using medical devices, in the form of 'outcomes-based contracts', 'performance-based contracts', or 'risk-sharing agreements'. These are all characterized by linking coverage, reimbursement, or payment for the innovative treatment to the attainment of pre-specified clinical outcomes. Risk-sharing agreements have been promoted also in the field of electrophysiology and offer the possibility to demonstrate the value of specific innovative technologies proposed in this rapidly advancing field, while relieving hospitals from taking on the whole financial risk themselves. Physicians deeply involved in the field of devices and technologies for arrhythmia management and invasive electrophysiology need to be prepared for involvement as stakeholders. This may imply engagement in the evaluation of risk-sharing agreements and specifically, in the process of assessment of technology performances or patient outcomes. Scientific Associations may have an important role in promoting the basis for value-based assessments, in promoting educational initiatives to help assess the determinants of the learning curve for innovative treatments, and in promoting large-scale registries for a precise assessment of patient outcomes and of specific technologies' performance.