Keys to Success with the SIR

Let’s talk p-value.

As far as the SIR goes…

The p-value is a statistical measure that tells us whether the number of observed infections is statistically significantly different than the number of predicted infections (i.e., whether the SIR is significantly different from 1.0).

If the p-value ≤ 0.05, we can conclude that the number of observed infections is statistically significantly different than the number of predicted infections.

If the p-value > 0.05, we conclude that the number of observed infections is not statistically significantly different than the number of predicted infections.

Presenting the Standardized Infection Ratio (SIR)!

SIR is equal to Observed HAIs divided by Predicted HAIs

If the SIR > 1.0, then more HAIs were observed than predicted, based on the 2015 national aggregate data.

If the SIR < 1.0, then fewer HAIs were observed than predicted, based on the 2015 national aggregate data.

If the SIR= 1.0, then the same number of HAIs were observed as predicted, based on the 2015 national aggregate data.

And how about that 95% Confidence Interval (CI)?

The 95% CI is a statistical range of values for which we have a high degree of confidence that the true SIR lies within that range.

If the CI does not include 1, then the SIR is significantly different than 1.0 (i.e., the number of observed infections is significantly different than the number predicted).
Example: 95% CI= (0.85, 0.92)

If the CI includes the value of 1, then the SIR is not significantly different than 1.0 (i.e., the number of observed infections is not significantly different than the number predicted).
Example: 95% CI= (0.85, 1.24)

If the SIR is 0.000 (i.e., the infection count is 0 and the number of predicted infections is ≥ 1.0), the lower bound of the 95% CI will not be calculated.

Remember

The SIR will not be calculated if the number of predicted infections is less than 1.0.

This rule was instituted to avoid the calculation and interpretation of statistically imprecise SIRs, which typically have extreme values.

Analysis Reports: Baseline Set 1 vs. Baseline Set 2

Baseline Set 2 reports include Device-Associated (DA) Module, Procedure-Associated (PA) Module, HAI Anticmicrobial Resistance (DA and PA Modules), Antimicobial Use and Resistance Module, MDRO/CDI Module-LABID Event Reporting, MDRO/CDI Module-Infection Surveillance, MDRO/CDI Module-Process Measures, MDRO/CDI Module-Outcome Measures, CMS Reports and TAP Reports. The Baseline Set 1 does not include all of these specific reports.

Name that Baseline!

Original models:
Data from December 31, 2016 and earlier

2015 Rebaseline models:
Data from January 1, 2017 and forward

*note: both original and 2015 baseline models are available for Jan 1, 2015 – Dec 31, 2016 data

Illustrates the years of data that can be analyzed according to the original and 2015 baseline models.

Additional Resources

Training

Newsletters / Members Meeting Updates

E-mail Updates

Health Department HAI/AR Programs