A precise performance-based reimbursement model for the multi-centre NAPKON cohorts – development and evaluation

Author:

Appel Katharina S.,Lee Chin Huang,Nunes de Miranda Susana M.,Maier Daniel,Reese Jens-Peter,Anton Gabriele,Bahmer Thomas,Ballhausen Sabrina,Balzuweit Beate,Bellinghausen Carla,Blumentritt Arne,Brechtel Markus,Chaplinskaya-Sobol Irina,Erber Johanna,Fiedler Karin,Geisler Ramsia,Heyder Ralf,Illig Thomas,Kohls Mirjam,Kollek Jenny,Krist Lilian,Lorbeer Roberto,Miljukov Olga,Mitrov Lazar,Nürnberger Carolin,Pape Christian,Pley Christina,Schäfer Christian,Schaller Jens,Schattschneider Mario,Scherer Margarete,Schulze Nick,Stahl Dana,Stubbe Hans Christian,Tamminga Thalea,Tebbe Johannes Josef,Vehreschild Maria J. G. T.,Wiedmann Silke,Vehreschild Jörg Janne

Abstract

AbstractFair allocation of funding in multi-centre clinical studies is challenging. Models commonly used in Germany - the case fees (“fixed-rate model”, FRM) and up-front staffing and consumables (“up-front allocation model”, UFAM) lack transparency and fail to suitably accommodate variations in centre performance. We developed a performance-based reimbursement model (PBRM) with automated calculation of conducted activities and applied it to the cohorts of the National Pandemic Cohort Network (NAPKON) within the Network of University Medicine (NUM). The study protocol activities, which were derived from data management systems, underwent validation through standardized quality checks by multiple stakeholders. The PBRM output (first funding period) was compared among centres and cohorts, and the cost-efficiency of the models was evaluated. Cases per centre varied from one to 164. The mean case reimbursement differed among the cohorts (1173.21€ [95% CI 645.68–1700.73] to 3863.43€ [95% CI 1468.89–6257.96]) and centres and mostly fell short of the expected amount. Model comparisons revealed higher cost-efficiency of the PBRM compared to FRM and UFAM, especially for low recruitment outliers. In conclusion, we have developed a reimbursement model that is transparent, accurate, and flexible. In multi-centre collaborations where heterogeneity between centres is expected, a PBRM could be used as a model to address performance discrepancies.Trial registration: https://clinicaltrials.gov/ct2/show/NCT04768998; https://clinicaltrials.gov/ct2/show/NCT04747366; https://clinicaltrials.gov/ct2/show/NCT04679584.

Funder

German Federal Ministry of Education and Research

Johann Wolfgang Goethe-Universität, Frankfurt am Main

Publisher

Springer Science and Business Media LLC

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