title: [Extent and causes of coding problems for total compensation on the basis of Diagnosis-Related Groups].
abstract: BACKGROUND AND QUESTION: In contrast to the per-day-reimbursement specific data like diagnoses, procedures and demographic data of the patient is needed for a per case reimbursement with Diagnosis Related Groups (DRG). Coding errors can have great impact on the height of the reimbursement. A review of the extent and the causes of coding problems does not exist at present.
  
  
  METHODS
  A systematic search in Medline using the search words >>coding<< and >>error<< and >>hospital<< was performed. Only articles with quantitative evaluation, written in English or German, were included. Literature cited in the articles was included as well.
  
  
  RESULTS
  A total of 33 studies (53 113 cases) were identified. An average of 23 % of cases was showing coding problems. Eighteen percent of the cases were assigned to a wrong DRG. Regarding the date of publication no effect in the extent of the coding accuracy could be detected.
  
  
  CONCLUSIONS
  An appreciable rate of cases with coding problems should be anticipated when introducing DRG. Training to improve coding accuracy is recommended. Whether coding should be a task of the ward or the management of the hospital could not be decided here, but it should be noted that this assignment of the coding task has major impact on the allocation of competence in the long run.
authors.affiliation: Institut für Gesundheitsökonomie und Klinische Epidemiologie, Universität zu Köln. Markus.Luengen@medizin.uni-koeln.de
authors.forename: M
authors.initials: M
authors.lastname: Lüngen
authors.forename: K W
authors.initials: KW
authors.lastname: Lauterbach
mesh_terms: D003953:Diagnosis-Related Groups / Q000145:classification / Q000191:economics*; D005377:Financial Management, Hospital / Q000379:methods / Q000592:standards*; D005568:Forms and Records Control / Q000145:classification / Q000592:standards; D005858:Germany; D006751:Hospital Information Systems; D006801:Humans; D007344:Insurance Claim Reporting / Q000145:classification / Q000592:standards*; D016239:MEDLINE; D008330:Management Audit; D008499:Medical Records / Q000145:classification* / Q000191:economics / Q000592:standards; D011786:Quality Control