Key result
Control charts of monthly surgical site infection rates showed moderate agreement (weighted κ = 0.401) with risk-adjusted outlier status, predicting nonworsening performance with 92.9% specificity.
Why the study?
Do control charts using surgical site infection rates predict changes in outlier status for risk-adjusted SSI rates?
Observational (n=100)
Yes
Do control charts using surgical site infection rates predict changes in outlier status for risk-adjusted SSI rates?
Effect estimate: weighted κ = 0.401
Control charts and risk-adjusted outlier status are complementary tools for monitoring surgical site infection performance, each with unique strengths and weaknesses.
Control charts are used in industry to monitor performance and are being used increasingly in hospitals as a quality improvement tool. The authors' objective was to determine if control charts using surgical site infection (SSI) rates predict changes in outlier status for risk-adjusted SSI rates using data from a surgical registry, the American College of Surgeons National Surgical Quality Improvement Program. Control charts of monthly SSI rates for 100 hospitals were analyzed for indicators of a performance change in 2009 (vs 2008) using standard rules. Hospitals also were classified as having better, worse, or no change in outlier status for risk-adjusted SSI rates in 2009 (vs 2008). There was moderate agreement between these methods (weighted κ = 0.401). Control charts predicted nonworsening performance well (specificity = 92.9%) and identified changes in SSI performance sooner; however, they failed to identify 31.2% of hospitals with worsened outlier status. This study demonstrates that these quality measurement tools have unique strengths and weaknesses and are complementary uses of the same clinical data source.
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Lawson et al. (2012) conducted an observational in Surgical site infection (n=100). Control charts of monthly surgical site infection rates vs. Risk-adjusted surgical site infection rates outlier status was evaluated on Agreement in predicting changes in outlier status for risk-adjusted surgical site infection rates (weighted κ = 0.401). Control charts of monthly surgical site infection rates showed moderate agreement (weighted κ = 0.401) with risk-adjusted outlier status, predicting nonworsening performance with 92.9% specificity.
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