Evidence map›Paper›PMID 38871878›Full record

ArticleScientific reports2024

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

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 and 29 more

4 registry-linked trialsAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04679584 recruitingnot on this map

COVIDOM: Longterm Morbidity of SARS-CoV-2 Infection and COVID-19 Disease - Consequences for Health Status and Quality of Life (NAPKON-POP)

TypeobservationalSponsorUniversity Hospital Schleswig-HolsteinRan2020 to 2030Enrolled2,000ConditionsCOVID-19ArmsObservation of different courses of SARS-CoV-2 infection in different phases (acute vs. post-acute) and settings
NCT04747366 unknown statusnot on this map

National Pandemic Cohort Network - High-resolution Platform (HAP) Analysis of the Pathophysiology and Pathology of Coronavirus Disease 2019 (COVID-19), Including Chronic Morbidity

Typeobservational_patient_registrySponsorCharite University, Berlin, GermanyRan2020 to 2025Enrolled750ConditionsCovid19
NCT04768998 unknown statusnot on this map

Intersectoral Platform (SÜP) of the National Pandemic Cohort Network (NAPKON)

TypeobservationalSponsorGoethe UniversityRan2020 to 2023Enrolled6,550ConditionsSevere Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)ArmsObservational of different courses of SARS-CoV-2 infection in different phases (acute vs. post-acute) and settings
NCT07553650 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Master Study Protocol for the Cohort of the Specialist Network Stroke (SN Stroke) (Stroke-CORE)

Typeobservational_patient_registrySponsorCharite University, Berlin, GermanyRan2026 to 2030Enrolled12,750ConditionsIntracerebral Haemorrhage, Paediatric Stroke, Stroke Acute, Stroke
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

39 authors.

Katharina S AppelGoethe 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.
Chin Huang LeeUniversity of Cologne, Faculty of Medicine and University Hospital of Cologne, Department I for Internal Medicine, Cologne, Germany.
Susana M Nunes de MirandaUniversity of Cologne, Faculty of Medicine and University Hospital of Cologne, Department I for Internal Medicine, Cologne, Germany.
Daniel MaierGoethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Theodor-Stern-Kai 7, 60596, Frankfurt, Germany.
Jens-Peter ReeseUniversity of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany.
Gabriele AntonMedical School OWL, Bielefeld University, Bielefeld, Germany.
Thomas BahmerInternal Medicine Department I, Pneumology Section, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Sabrina BallhausenInternal Medicine Department I, Pneumology Section, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Beate BalzuweitCharité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany.
Carla BellinghausenDepartment I of Internal Medicine, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt, Germany.
Arne BlumentrittIndependent Trusted Third Party of the University Medicine Greifswald, Ellernholzstraße 1-2, 17475, Greifswald, Germany.
Markus BrechtelUniversity of Cologne, Faculty of Medicine and University Hospital of Cologne, Department I for Internal Medicine, Cologne, Germany.
Irina Chaplinskaya-SobolDepartment of Medical Informatics at the University Medical Center Göttingen, Göttingen, Germany.
Johanna ErberTUM School of Medicine and Health, Department of Clinical Medicine, Clinical Department for Internal Medicine II, Technical University of Munich, University Medical Center, Munich, Germany.
Karin FiedlerGoethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Theodor-Stern-Kai 7, 60596, Frankfurt, Germany.
Ramsia GeislerGoethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Theodor-Stern-Kai 7, 60596, Frankfurt, Germany.
Ralf HeyderCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NUM Coordination Office, Charitéplatz 1, 10117, Berlin, Germany.
Thomas IlligHannover Medical School, Hannover Unified Biobank, Hannover, Germany.
Mirjam KohlsUniversity of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany.
Jenny KollekCharité - 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.
Lilian KristInstitute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Roberto LorbeerDeutsches Herzzentrum der Charité, Institute of Computer-Assisted Cardiovascular Medicine, Berlin, Germany.
Olga MiljukovUniversity of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany.
Lazar MitrovUniversity 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.
Carolin NürnbergerUniversity of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany.
Christian PapeDepartment of Medical Informatics at the University Medical Center Göttingen, Göttingen, Germany.
Christina PleyCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Clinical Trial Office, Berlin, Germany.
Christian SchäferInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Jens SchallerDeutsches Herzzentrum der Charité, Institute of Computer-Assisted Cardiovascular Medicine, Berlin, Germany.
Mario SchattschneiderInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Margarete SchererGoethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Theodor-Stern-Kai 7, 60596, Frankfurt, Germany.
Nick SchulzeGoethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Theodor-Stern-Kai 7, 60596, Frankfurt, Germany.
Dana StahlIndependent Trusted Third Party of the University Medicine Greifswald, Ellernholzstraße 1-2, 17475, Greifswald, Germany.
Hans Christian StubbeDepartment of Medicine II, University Hospital, LMU Munich, Munich, Germany.
Thalea TammingaInternal Medicine Department I, Pneumology Section, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Johannes Josef TebbeHospital Lippe, Department of Gastroenterology and Infectious Diseases, Lippe, Germany.
Maria J G T VehreschildGoethe University Frankfurt, University Hospital Frankfurt, Department II of Infectious Diseases, Frankfurt, Germany.
Silke WiedmannCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NUM Coordination Office, Charitéplatz 1, 10117, Berlin, Germany.
Jörg Janne VehreschildGoethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Theodor-Stern-Kai 7, 60596, Frankfurt, Germany. j.vehreschild@med.uni-frankfurt.de.

Funding

German Federal Ministry of Education and Research (BMBF) 01KX2021German Federal Ministry of Education and Research (BMBF) 01KX2121
6 · The paper itself

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 .

Indexed as

Cost-Benefit AnalysisCohort StudiesCOVID-19GermanyHumansReimbursement MechanismsClinical studiesCOVID-19Funding allocationGermanyPerformance-based reimbursementResearch infrastructure

Identifiers

PMID38871878
PMCPMC11176345

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.