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SSI in Adult Patients, 2017

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Published by:
California Department of Public Health
Last updated:
November 25, 2024
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This table shows the incidence of surgical site infections (SSI) reported by California general acute care hospitals for 28 operative procedures performed on adult patients (procedures listed in the Data Dictionary). SSI incidence is presented using the Centers for Disease Control and Prevention National Healthcare Safety Network (NHSN) risk adjusted standardized infection ratios (SIR) for SSI. The SIR is calculated by dividing the number of observed infections by the number of predicted infections. The number of predicted infections is calculated using SSI probabilities estimated from multivariate logistic regression models constructed from 2016 NHSN data, which represents a reference population (baseline) for each procedure type. SIRs are based on procedure date, not the date of the infection event. All procedure and infection data for surgical procedures performed between January 1, 2017, and December 31, 2017, were downloaded from NHSN in 12, 2018. The SIR reported in this table include only complex SSI (deep incisional and organ/space) identified during hospital Admission or Readmission to the same hospital. NHSN calculates an SIR only if the number of observed is at least 1 to meet a minimum precision criterion. CDPH calculated an SIR if the predicted number of infections was less than 1 and greater than or equal to 0.2; these SIRs and comparisons are not as precise as SIRs based on a larger number of predicted infections, but provide more hospitals with a published interpretation of their data. For a detailed explanation, please see the Technical Notes. Each hospital's reported procedure and infection counts are displayed along with an SIR, the 95 percent confidence interval for the SIR, and the statistical comparison as follows: • Better - lower or fewer infections than predicted, • Same - no difference in number of observed and predicted infections, or • Worse - higher or more infections than predicted.

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