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A precise performance-based reimbursement model for the multi-centre NAPKON cohorts - development and evaluation.
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.
Affiliation
  • Appel KS; Goethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Theodor-Stern-Kai 7, 60596, Frankfurt, Germany. appel@med.uni-frankfurt.de.
  • Lee CH; University of Cologne, Faculty of Medicine and University Hospital of Cologne, Department I for Internal Medicine, Cologne, Germany. appel@med.uni-frankfurt.de.
  • Nunes de Miranda SM; University of Cologne, Faculty of Medicine and University Hospital of Cologne, Department I for Internal Medicine, Cologne, Germany.
  • Maier D; University of Cologne, Faculty of Medicine and University Hospital of Cologne, Department I for Internal Medicine, Cologne, Germany.
  • Reese JP; Goethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Theodor-Stern-Kai 7, 60596, Frankfurt, Germany.
  • Anton G; German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz and German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Bahmer T; University of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany.
  • Ballhausen S; University Hospital Würzburg, Institute for medical Data Science, Würzburg, Würzburg, Germany.
  • Balzuweit B; Medical School OWL, Bielefeld University, Bielefeld, Germany.
  • Bellinghausen C; Internal Medicine Department I, Pneumology Section, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
  • Blumentritt A; German Center for Lung Research (DZL), Airway Research Center North (ARCN), Grosshansdorf, Germany.
  • Brechtel M; Internal Medicine Department I, Pneumology Section, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
  • Chaplinskaya-Sobol I; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany.
  • Erber J; Department I of Internal Medicine, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt, Germany.
  • Fiedler K; Independent Trusted Third Party of the University Medicine Greifswald, Ellernholzstraße 1-2, 17475, Greifswald, Germany.
  • Geisler R; University of Cologne, Faculty of Medicine and University Hospital of Cologne, Department I for Internal Medicine, Cologne, Germany.
  • Heyder R; Department of Medical Informatics at the University Medical Center Göttingen, Göttingen, Germany.
  • Illig T; TUM School of Medicine and Health, Department of Clinical Medicine, Clinical Department for Internal Medicine II, Technical University of Munich, University Medical Center, Munich, Germany.
  • Kohls M; Goethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Theodor-Stern-Kai 7, 60596, Frankfurt, Germany.
  • Kollek J; University of Cologne, Faculty of Medicine and University Hospital of Cologne, Department I for Internal Medicine, Cologne, Germany.
  • Krist L; Goethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Theodor-Stern-Kai 7, 60596, Frankfurt, Germany.
  • Lorbeer R; University of Cologne, Faculty of Medicine and University Hospital of Cologne, Department I for Internal Medicine, Cologne, Germany.
  • Miljukov O; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NUM Coordination Office, Charitéplatz 1, 10117, Berlin, Germany.
  • Mitrov L; Hannover Medical School, Hannover Unified Biobank, Hannover, Germany.
  • Nürnberger C; University of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany.
  • Pape C; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Clinical Trial Unit Berlin, Berlin, Germany.
  • Pley C; Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
  • Schäfer C; Deutsches Herzzentrum der Charité, Institute of Computer-Assisted Cardiovascular Medicine, Berlin, Germany.
  • Schaller J; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.
  • Schattschneider M; Department of Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany.
  • Scherer M; University of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany.
  • Schulze N; University Hospital Würzburg, Institute for medical Data Science, Würzburg, Würzburg, Germany.
  • Stahl D; University of Cologne, Faculty of Medicine and University Hospital of Cologne, Department I for Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Cologne, Germany.
  • Stubbe HC; University of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany.
  • Tamminga T; University Hospital Würzburg, Institute for medical Data Science, Würzburg, Würzburg, Germany.
  • Tebbe JJ; Department of Medical Informatics at the University Medical Center Göttingen, Göttingen, Germany.
  • Vehreschild MJGT; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Clinical Trial Office, Berlin, Germany.
  • Wiedmann S; Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
  • Vehreschild JJ; Deutsches Herzzentrum der Charité, Institute of Computer-Assisted Cardiovascular Medicine, Berlin, Germany.
Sci Rep ; 14(1): 13607, 2024 06 13.
Article de En | MEDLINE | ID: mdl-38871878
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 .
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse coût-bénéfice Limites: Humans Pays/Région comme sujet: Europa Langue: En Journal: Sci Rep Année: 2024 Type de document: Article Pays d'affiliation: Allemagne Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse coût-bénéfice Limites: Humans Pays/Région comme sujet: Europa Langue: En Journal: Sci Rep Année: 2024 Type de document: Article Pays d'affiliation: Allemagne Pays de publication: Royaume-Uni