title: Financial impact of introducing the Swiss-DRG reimbursement system on potentially avoidable readmissions at a university hospital.
abstract: OBJECTIVE
  Thirty-day readmissions can be classified as potentially avoidable (PARs) or not avoidable (NARs) by following a specific algorithm (SQLape®). We wanted to assess the financial impact of the Swiss-DRG system, which regroups some readmissions occurring within 18 days after discharge within the initial hospital stay, on PARs at our hospital.
  
  
  METHODS
  First, PARs were identified from all hospitalisations recorded in 2011 at our university hospital. Second, 2012 Swiss-DRG readmission rules were applied, regrouped readmissions (RR) were identified, and their financial impact computed. Third, RRs were classified as potentially avoidable (PARRs), not avoidable (NARRs), and others causes (OCRRs). Characteristics of PARR patients and stays were retrieved, and the financial impact of PARRS was computed.
  
  
  RESULTS
  A total of 36,777 hospitalisations were recorded in 2011, of which 3,140 were considered as readmissions (8.5%): 1,470 PARs (46.8%) and 1,733 NARs (53.2%). The 2012 Swiss-DRG rules would have resulted in 910 RRs (2.5% of hospitalisations, 29% of readmissions): 395 PARRs (43% of RR), 181 NARRs (20%), and 334 OCRRs (37%). Loss in reimbursement would have amounted to CHF 3.157 million (0.6% of total reimbursement). As many as 95% of the 395 PARR patients lived at home. In total, 28% of PARRs occurred within 3 days after discharge, and 58% lasted less than 5 days; 79% of the patients were discharged home again. Loss in reimbursement would amount to CHF 1.771 million.
  
  
  CONCLUSIONS
  PARs represent a sizeable number of 30-day readmissions, as do PARRs of 18-day RRs in the 2012 Swiss DRG system. They should be the focus of attention, as the PARRs represent an avoidable loss in reimbursement.
authors: Institute of Health Economics and Management, University of Lausanne, Switzerland, and Medical Directorate, University Hospital of Lausanne (CHUV), Switzerland.
authors: Jean-Blaise
authors: JB
authors: Wasserfallen
authors: Institute of Health Economics and Management, University of Lausanne, Switzerland.
authors: Jade
authors: J
authors: Zufferey
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D003953:Diagnosis-Related Groups / Q000191:economics*; D005260:Female; D006785:Hospitals, University / Q000191:economics; D006801:Humans; D007902:Length of Stay / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D010351:Patient Discharge / Q000706:statistics & numerical data; D010359:Patient Readmission / Q000191:economics* / Q000706:statistics & numerical data*; D012052:Reimbursement, Incentive / Q000191:economics*; D013557:Switzerland; D013997:Time Factors; D055815:Young Adult