Skip to Content
Authors Lawson EH, Ko CY, Adams JL, Chow WB, Hall BL
Author Profile(s)
Journal Ann. Surg. Volume: 258 Issue: 6 Pages: 994-1000
Publish Date 2013 Dec
PubMed ID 23657082

To determine whether risk-adjusted colorectal SSI rates are statistically reliable as hospital quality measures.Policymakers use surgical site infections (SSI) for public reporting of hospital quality and pay-for-performance because they are a relatively common and costly cause of patient morbidity.Patients who underwent a colorectal procedure in 2009 were identified from the American College of Surgeons National Surgical Quality Improvement Program. We developed hierarchical multivariate logistic models for (1) superficial SSI, (2) deep/organ-space SSI, and (3) “any SSI” and compared how each model ranked hospital-level risk-adjusted performance. Statistical reliability of hospital quality measurements was estimated on a scale from 0 to 1; with 0 indicating that apparent variation between a hospital’s quality measurement and the average hospital is statistically unreliable, and 1 indicating that any observed variation is due to a real difference in performance.Mean reliability of hospital-level quality measurements was 0.650 for superficial, 0.404 for deep/organ-space, and 0.586 for “any SSI.” Lower reliability was accounted for by relatively little variation in risk-adjusted SSI rates between hospitals and insufficient numbers of colorectal cases submitted by individual hospitals. In 2009, we estimate that 22.1% of all US hospitals performed a sufficient number of colorectal cases to report superficial SSI rates at a high standard of statistical reliability and 1.0% did for deep/organ-space SSI.As currently constructed, colorectal SSI quality measures might not meet a high standard of statistical reliability for most hospitals, limiting their ability to confidently differentiate high and low performance. Despite an expectation of improving statistical power, combining superficial and deep/organ-space SSI into an “any SSI” measure worsens reliability. Copyright © 2017 The Board of Regents of the University of Wisconsin System