Use of Medicare claims to identify US hospitals with a high rate of surgical site infection after hip arthroplasty

Infect Control Hosp Epidemiol. 2013 Jan;34(1):31-9. doi: 10.1086/668785. Epub 2012 Nov 20.


Objective: To assess the ability of Medicare claims to identify US hospitals with high rates of surgical site infection (SSI) after hip arthroplasty.

Design: Retrospective cohort study.

Setting: Acute care US hospitals.

Participants: Fee-for-service Medicare patients 65 years of age and older who underwent hip arthroplasty in US hospitals from 2005 through 2007.

Methods: Hospital rankings were derived from claims codes suggestive of SSI, adjusted for age, sex, and comorbidities, while using generalized linear mixed models to account for hospital volume. Medical records were obtained for validation of infection on a random sample of patients from hospitals ranked in the best and worst deciles of performance. We then calculated the risk-adjusted odds of developing a chart-confirmed SSI after hip arthroplasty in hospitals ranked by claims into worst- versus best-performing deciles.

Results: Among 524,892 eligible Medicare patients who underwent hip arthroplasty at 3,296 US hospitals, a patient who underwent surgery in a hospital ranked in the worst-performing decile based on claims-based evidence of SSI had 2.9-fold higher odds of developing a chart-confirmed SSI relative to a patient with the same age, sex, and comorbidities in a hospital ranked in the best-performing decile (95% confidence interval, 2.2-3.7).

Conclusions: Medicare claims successfully distinguished between hospitals with high and low SSI rates following hip arthroplasty. These claims can identify potential outlier hospitals that merit further evaluation. This strategy can also be used to validate the completeness of public reporting of SSI.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Arthroplasty, Replacement, Hip / adverse effects*
  • Benchmarking / statistics & numerical data*
  • Data Collection / methods*
  • Female
  • Humans
  • Insurance Claim Review / statistics & numerical data
  • Linear Models
  • Male
  • Medicare / statistics & numerical data*
  • Reproducibility of Results
  • Retrospective Studies
  • Risk Adjustment
  • Surgical Wound Infection / epidemiology*
  • United States / epidemiology