Impact of Risk Adjustment for Socioeconomic Status on Risk-adjusted Surgical Readmission Rates

Ann Surg. 2016 Apr;263(4):698-704. doi: 10.1097/SLA.0000000000001363.

Abstract

Objective: To assess whether differences in readmission rates between safety-net hospitals (SNH) and non-SNHs are due to differences in hospital quality, and to compare the results of hospital profiling with and without SES adjustment.

Background: In response to concerns that quality measures unfairly penalizes SNH, NQF recently recommended that performance measures adjust for socioeconomic status (SES) when SES is a risk factor for poor patient outcomes.

Methods: Multivariate regression was used to examine the association between SNH status and 30-day readmission after major surgery. The results of hospital profiling with and without SES adjustment were compared using the CMS Hospital Compare and the Hospital Readmissions Reduction Program (HRRP) methodologies.

Results: Adjusting for patient risk and SES, patients admitted to SNHs were not more likely to be readmitted compared with patients in in non-SNHs (AOR 1.08; 95% CI:0.95-1.23; P = 0.23). The results of hospital profiling based on Hospital Compare were nearly identical with and without SES adjustment (ICC 0.99, κ 0.96). Using the HRRP threshold approach, 61% of SNHs were assigned to the penalty group versus 50% of non-SNHs. After adjusting for SES, 51% of SNHs were assigned to the penalty group.

Conclusions: Differences in surgery readmissions between SNHs and non-SNHs are due to differences in the patient case mix of low-SES patients, and not due to differences in quality. Adjusting readmission measures for SES leads to changes in hospital ranking using the HRRP threshold approach, but not using the CMS Hospital Compare methodology. CMS should consider either adjusting for the effects of SES when calculating readmission thresholds for HRRP, or replace it with the approach used in Hospital Compare.

Publication types

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

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Databases, Factual
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • New York
  • Patient Readmission / statistics & numerical data*
  • Postoperative Complications / epidemiology
  • Postoperative Complications / etiology
  • Postoperative Complications / therapy
  • Regression Analysis
  • Risk Adjustment*
  • Safety-net Providers / standards*
  • Safety-net Providers / statistics & numerical data
  • Social Class*
  • Surgical Procedures, Operative*