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

Authors :
Katharina S. Appel
Chin Huang Lee
Susana M. Nunes de Miranda
Daniel Maier
Jens-Peter Reese
Gabriele Anton
Thomas Bahmer
Sabrina Ballhausen
Beate Balzuweit
Carla Bellinghausen
Arne Blumentritt
Markus Brechtel
Irina Chaplinskaya-Sobol
Johanna Erber
Karin Fiedler
Ramsia Geisler
Ralf Heyder
Thomas Illig
Mirjam Kohls
Jenny Kollek
Lilian Krist
Roberto Lorbeer
Olga Miljukov
Lazar Mitrov
Carolin Nürnberger
Christian Pape
Christina Pley
Christian Schäfer
Jens Schaller
Mario Schattschneider
Margarete Scherer
Nick Schulze
Dana Stahl
Hans Christian Stubbe
Thalea Tamminga
Johannes Josef Tebbe
Maria J. G. T. Vehreschild
Silke Wiedmann
Jörg Janne Vehreschild
Source :
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Fair 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 .

Details

Language :
English
ISSN :
20452322
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.fedd46ae850b48ea83969adf79fa50df
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-024-63945-5