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SIR Model Explorer
CLABSI, CAUTI, MRSA Bacteremia LabID, CDI LabID
CAUTI Risk Adjustment (LTACHs)
The number of predicted CAUTIs under the 2022 baseline is calculated using a negative binomial regression model and is risk adjusted based on the following variables found to be statistically significant predictors of CAUTI 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 |
| Intercept | -7.8086 | 0.2067 | <0.0001 |
| Average length of stay1: ≥22.2 and <27.8 days | 0.5783 | 0.2094 | 0.0058 |
| Average length of stay1: ≥27.8 days | 1.1001 | 0.1971 | <0.0001 |
| Average length of stay1: ≥1 and <22.2 days | REFERENT | – | – |
| Proportion of total beds that are ICU2: <0.103 | 0.3579 | 0.1097 | 0.0011 |
| Proportion of total beds that are ICU2: ≥0.103 | REFERENT | – | – |
1 Average length of stay is calculated as: total # of annual patient days / total # of annual admissions, as reported on the Annual LTACH Survey [PDF – 1MB].
2 Proportion of beds that are ICU is calculated as: # of ICU beds / total # of beds, as reported on the Annual LTACH Survey [PDF – 1MB].
