Using same-hospital readmission rates to estimate all-hospital readmission rates

J Am Coll Surg. 2014 Oct;219(4):656-63. doi: 10.1016/j.jamcollsurg.2014.05.008. Epub 2014 May 27.

Abstract

Background: Since October of 2012, Medicare's Hospital Readmissions Reduction Program has fined 2,200 hospitals a total of $500 million. Although the program penalizes readmission to any hospital, many institutions can only track readmissions to their own hospitals. We sought to determine the extent to which same-hospital readmission rates can be used to estimate all-hospital readmission rates after major surgery.

Study design: We evaluated 3,940 hospitals treating 741,656 Medicare fee-for-service beneficiaries undergoing CABG, hip fracture repair, or colectomy between 2006 and 2008. We used hierarchical logistic regression to calculate risk- and reliability-adjusted rates of 30-day readmission to the same hospital and to any hospital. We next evaluated the correlation between same-hospital and all-hospital rates. To analyze the impact on hospital profiling, we compared rankings based on same-hospital rates with those based on all-hospital rates.

Results: The mean risk- and reliability-adjusted all-hospital readmission rate was 13.2% (SD 1.5%) and mean same-hospital readmission rate was 8.4% (SD 1.1%). Depending on the operation, between 57% (colectomy) and 63% (CABG) of hospitals were reclassified when profiling was based on same-hospital readmission rates instead of on all-hospital readmission rates. This was particularly pronounced in the middle 3 quintiles, where 66% to 73% of hospitals were reclassified.

Conclusions: In evaluating hospital profiling under Medicare's Hospital Readmissions Reduction Program, same-hospital rates provide unstable estimates of all-hospital readmission rates. To better anticipate penalties, hospitals require novel approaches for accurately tracking the totality of their postoperative readmissions.

Publication types

  • Comparative Study
  • Multicenter Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Female
  • Follow-Up Studies
  • Health Status Disparities
  • Healthcare Disparities / economics
  • Healthcare Disparities / statistics & numerical data*
  • Hospitals / statistics & numerical data*
  • Humans
  • Male
  • Medicare / statistics & numerical data
  • Patient Readmission / economics
  • Patient Readmission / statistics & numerical data*
  • Program Evaluation*
  • Retrospective Studies
  • Surgical Procedures, Operative / economics
  • Surgical Procedures, Operative / statistics & numerical data*
  • Time Factors
  • United States