title: Association between occurrence of a postoperative complication and readmission: implications for quality improvement and cost savings.
abstract: OBJECTIVE
  To estimate the effect of preventing postoperative complications on readmission rates and costs.
  
  
  BACKGROUND
  Policymakers are targeting readmission for quality improvement and cost savings. Little is known regarding mutable factors associated with postoperative readmissions.
  
  
  METHODS
  Patient records (2005-2008) from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) were linked to Medicare inpatient claims. Risk factors, procedure, and 30-day postoperative complications were determined from ACS-NSQIP. The 30-day postoperative readmission and costs were determined from Medicare. Occurrence of a postoperative complication included surgical site infections and cardiac, pulmonary, neurologic, and renal complications. Multivariate regression models predicted the effect of reducing complication rates on risk-adjusted readmission rates and costs by procedure.
  
  
  RESULTS
  The 30-day postoperative readmission rate was 12.8%. Complication rates for readmitted and nonreadmitted patients were 53% and 16% (P < 0.001). Patients with a postoperative complication had higher predicted probability of readmission and cost of readmission than patients without a complication. For the 20 procedures accounting for the greatest number of readmissions, reducing ACS-NSQIP complication rates by a relative 5% could result in prevention of 2092 readmissions per year and a savings to Medicare of $31.0 million per year. Preventing all ACS-NSQIP complications for these procedures could result in prevention of 41,846 readmissions per year and a savings of $620.3 million per year.
  
  
  CONCLUSIONS
  This study provides substantial evidence that efforts to reduce postoperative readmissions should begin by focusing on postoperative complications that can be reliably and validly measured. Such an approach will not eliminate all postoperative readmissions but will likely have a major effect on readmission rates.
authors.affiliation: Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA. elawson@mednet.ucla.edu
authors.forename: Elise H
authors.initials: EH
authors.lastname: Lawson
authors.forename: Bruce Lee
authors.initials: BL
authors.lastname: Hall
authors.forename: Rachel
authors.initials: R
authors.lastname: Louie
authors.forename: Susan L
authors.initials: SL
authors.lastname: Ettner
authors.forename: David S
authors.initials: DS
authors.lastname: Zingmond
authors.forename: Lein
authors.initials: L
authors.lastname: Han
authors.forename: Michael
authors.initials: M
authors.lastname: Rapp
authors.forename: Clifford Y
authors.initials: CY
authors.lastname: Ko
mesh_terms: D000368:Aged; D016009:Chi-Square Distribution; D017046:Cost Savings / Q000191:economics*; D005260:Female; D006801:Humans; D008297:Male; D017063:Outcome Assessment, Health Care; D010359:Patient Readmission / Q000191:economics*; D011183:Postoperative Complications / Q000191:economics* / Q000517:prevention & control*; D058996:Quality Improvement / Q000191:economics*; D012042:Registries; D012044:Regression Analysis; D012307:Risk Factors; D014481:United States