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Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Updated: Jun 24, 2025

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

Katharina S Appel1,2, Chin Huang Lee3, Susana M Nunes de Miranda3

  • 1Goethe 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.

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|June 13, 2024
PubMed
Summary

A new performance-based reimbursement model (PBRM) offers a transparent and flexible solution for funding multi-centre clinical studies, outperforming traditional fixed-rate and up-front allocation models.

Keywords:
COVID-19Clinical studiesFunding allocationGermanyPerformance-based reimbursementResearch infrastructure

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Area of Science:

  • Health Economics
  • Clinical Trial Management
  • Health Services Research

Background:

  • Fair funding allocation in multi-centre clinical studies is complex.
  • Existing models like fixed-rate (FRM) and up-front allocation (UFAM) in Germany lack transparency and adaptability to centre performance variations.

Purpose of the Study:

  • To develop and evaluate a performance-based reimbursement model (PBRM) for multi-centre clinical studies.
  • To compare the PBRM's cost-efficiency against FRM and UFAM using data from the National Pandemic Cohort Network (NAPKON).

Main Methods:

  • Developed a PBRM with automated calculation of conducted activities based on validated study protocol data.
  • Applied the PBRM to NAPKON cohorts within the Network of University Medicine (NUM).
  • Compared PBRM outputs and evaluated cost-efficiency against FRM and UFAM.

Main Results:

  • Centre case recruitment varied significantly (1 to 164 cases).
  • Mean case reimbursements differed across cohorts and centres, often below expectations.
  • PBRM demonstrated higher cost-efficiency than FRM and UFAM, particularly for centres with low recruitment.

Conclusions:

  • A transparent, accurate, and flexible PBRM has been developed.
  • PBRM is suitable for multi-centre collaborations with expected heterogeneity, addressing performance discrepancies effectively.