Implementation of a diagnostic stewardship intervention to improve blood-culture utilization in 2 surgical ICUs: Time for a blood-culture change

Author:

Seidelman Jessica L.ORCID,Moehring RebekahORCID,Gettler ErinORCID,Krishnan JayORCID,McGugan LynnORCID,Jordan Rachel,Murphy Margaret,Pena Heather,Polage Christopher R.ORCID,Alame Diana,Lewis Sarah,Smith Becky,Anderson DeverickORCID,Mehdiratta Nitin

Abstract

Abstract Objective: We compared the number of blood-culture events before and after the introduction of a blood-culture algorithm and provider feedback. Secondary objectives were the comparison of blood-culture positivity and negative safety signals before and after the intervention. Design: Prospective cohort design. Setting: Two surgical intensive care units (ICUs): general and trauma surgery and cardiothoracic surgery Patients: Patients aged ≥18 years and admitted to the ICU at the time of the blood-culture event. Methods: We used an interrupted time series to compare rates of blood-culture events (ie, blood-culture events per 1,000 patient days) before and after the algorithm implementation with weekly provider feedback. Results: The blood-culture event rate decreased from 100 to 55 blood-culture events per 1,000 patient days in the general surgery and trauma ICU (72% reduction; incidence rate ratio [IRR], 0.38; 95% confidence interval [CI], 0.32–0.46; P < .01) and from 102 to 77 blood-culture events per 1,000 patient days in the cardiothoracic surgery ICU (55% reduction; IRR, 0.45; 95% CI, 0.39–0.52; P < .01). We did not observe any differences in average monthly antibiotic days of therapy, mortality, or readmissions between the pre- and postintervention periods. Conclusions: We implemented a blood-culture algorithm with data feedback in 2 surgical ICUs, and we observed significant decreases in the rates of blood-culture events without an increase in negative safety signals, including ICU length of stay, mortality, antibiotic use, or readmissions.

Publisher

Cambridge University Press (CUP)

Subject

Infectious Diseases,Microbiology (medical),Epidemiology

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