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Applying the standardized infection ratio for reporting surgical site infections in Australian healthcare facilities.

Authors :
Tanamas SK
Lim LL
Bull AL
Malloy MJ
Cheng AC
Worth LJ
Source :
Antimicrobial stewardship & healthcare epidemiology : ASHE [Antimicrob Steward Healthc Epidemiol] 2023 Nov 16; Vol. 3 (1), pp. e211. Date of Electronic Publication: 2023 Nov 16 (Print Publication: 2023).
Publication Year :
2023

Abstract

Objective: We explored the utility of the standardized infection ratio (SIR) for surgical site infection (SSI) reporting in an Australian jurisdiction.<br />Design: Retrospective chart review.<br />Setting: Statewide SSI surveillance data from 2013 to 2019.<br />Patients: Individuals who had cardiac bypass surgery (CABG), colorectal surgery (COLO), cesarean section (CSEC), hip prosthesis (HPRO), or knee prosthesis (KPRO) procedures.<br />Methods: The SIR was calculated by dividing the number of observed infections by the number of predicted infections as determined using the National Healthcare Safety Network procedure-specific risk models. In line with a minimum precision criterion, an SIR was not calculated if the number of predicted infections was <1.<br />Results: A SIR >0 (≥1 observed SSI, predicted number of SSI ≥1, no missing covariates) could be calculated for a median of 89.3% of reporting quarters for CABG, 75.0% for COLO, 69.0% for CSEC, 0% for HPRO, and 7.1% for KPRO. In total, 80.6% of the reporting quarters, when the SIR was not calculated, were due to no observed infections or predicted infections <1, and 19.4% were due to missing covariates alone. Within hospitals, the median percentage of quarters during which zero infections were observed was 8.9% for CABG, 20.0% for COLO, 25.4% for CSEC, 67.3% for HPRO, and 71.4% for KPRO.<br />Conclusions: Calculating an SIR for SSIs is challenging for hospitals in our regional network, primarily because of low event numbers and many facilities with predicted infections <1. Our SSI reporting will continue to use risk-indexed rates, in tandem with SIR values when predicted number of SSI ≥1.<br />Competing Interests: All authors report no conflicts of interest relevant to this article.<br /> (© The Author(s) 2023.)

Details

Language :
English
ISSN :
2732-494X
Volume :
3
Issue :
1
Database :
MEDLINE
Journal :
Antimicrobial stewardship & healthcare epidemiology : ASHE
Publication Type :
Academic Journal
Accession number :
38156237
Full Text :
https://doi.org/10.1017/ash.2023.478