SIR Model Explorer

CLABSI, CAUTI, MRSA Bacteremia LabID, CDI LabID

CLABSI Risk Adjustment for Neonatal Intensive Care Units (Level II/III, Level III, and Level IV NICU locations in ACHs)

The number of predicted CLABSIs under the 2022 baseline for NICUs in ACHs is calculated using a negative binomial regression model and is risk adjusted based on the following variables found to be statistically significant predictors of CLABSI incidence. Information about the statistical properties of NHSN risk adjustment models, including how the number of predicted events is calculated, is available in NHSN’s Guide to the SIR (2022 baseline) [PDF – 1MB].

Parameter Parameter Estimate Standard Error P-value
The number of predicted CLABSIs under the 2022 baseline for NICUs in ACHs is calculated using a negative binomial regression model and is risk adjusted based on the following variables found to be statistically significant predictors of CLABSI incidence. Information about the statistical properties of NHSN risk adjustment models, including how the number of predicted events is calculated, is available in NHSN’s Guide to the SIR (2022 baseline).
Intercept -7.7658 0.0887 <.0001
Birthweight A: ≤750 grams 1.3132 0.0836 <.0001
Birthweight B: 751-1000 grams 0.8392 0.0958 <.0001
Birthweight C:  1001-1500 grams 0.2747 0.1038 0.0081
Birthweight D and E: 1501-2500 grams and >2500 grams REFERENT
Number of ICU beds1: <56 0.3514 0.0936 0.0002
Number of ICU beds1: ≥56 REFERENT
Average length of stay2: ≥4.9 days 0.1957 0.0760 0.0100
Average length of stay2: <4.9 days REFERENT

 

Footnotes: 

1 Number of ICU beds is reported on the .
Average length of stay is calculated as # annual patient days / # annual admissions, as reported on the .