title: [Classification of severely injured patients in the G-DRG System 2008].
abstract: BACKGROUND
  Since the introduction of a per-case reimbursement system in Germany (German Diagnosis-Related Groups, G-DRG), the correct reimbursement for the treatment of severely injured patients has been much debated. While the classification of a patient in a polytrauma DRG follows different rules than the usual clinical definition, leading to a high number of patients not grouped as severely injured by the system, the system was also criticized in 2005 for its shortcomings in financing the treatment of severely injured patients. The development of financial reimbursement will be discussed in this paper.
  
  
  METHODS
  167 patients treated in 2006 and 2007 due to a severe injury at the University-Hospital Münster and grouped into a polytrauma-DRG were included in this study. For each patient, cost-equivalents were estimated. For those patients treated in 2007 (n=110), exact costs were calculated following the InEK cost-calculation method. The reimbursement was calculated using the G-DRG-Systems of 2007, 2008 and 2009. Cost-equivalents/costs and clinical parameters were correlated.
  
  
  RESULTS
  A total of 167 patients treated in 2006 and 2007 for a severe injury at the Münster University Hospital and grouped into a polytrauma DRG were included in this study. Cost equivalents were estimated for each patient. For those patients treated in 2007 (n=110), exact costs were calculated following the InEK (Institute for the Hospital Remuneration System) cost calculation method. Reimbursement was calculated using the G-DRG systems of 2007, 2008 and 2009. Cost equivalents/costs and clinical parameters were correlated.
  
  
  CONCLUSIONS
  With the ongoing development of the G-DRG system, reimbursement for the treatment of severely injured patient has improved, but the amount of underfinancing remains substantial. As treatment of severely injured patients must be reimbursed using the G-DRG system, this system must be further adapted to better meet the needs of severely injured patients. Parameters such as total surgery time, injury severity score (ISS) and LOS in ICU could be used for this purpose. In future, data obtained in trauma networks can help optimize reimbursement for the treatment of these patients.
authors.affiliation: Klinik und Poliklinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum Münster, Münster, Germany. juhra@ukmuenster.de
authors.forename: C
authors.initials: C
authors.lastname: Juhra
authors.forename: D
authors.initials: D
authors.lastname: Franz
authors.forename: N
authors.initials: N
authors.lastname: Roeder
authors.forename: T
authors.initials: T
authors.lastname: Vordemvenne
authors.forename: M J
authors.initials: MJ
authors.lastname: Raschke
mesh_terms: D003953:Diagnosis-Related Groups / Q000191:economics* / Q000706:statistics & numerical data*; D005858:Germany / Q000453:epidemiology; D006801:Humans; D009104:Multiple Trauma / Q000145:classification* / Q000191:economics*