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Effect of automated identification of antimicrobial stewardship opportunities for suspected urinary tract infections.

Publication ,  Journal Article
Deri, CR; Moehring, RW; Turner, NA; Spivey, J; Advani, SD; Wrenn, RH; Yarrington, ME
Published in: Antimicrob Steward Healthc Epidemiol
2024

OBJECTIVE: We aimed to determine whether automated identification of antibiotic targeting suspected urinary tract infection (UTI) shortened the time to antimicrobial stewardship (AS) intervention. DESIGN: Retrospective before-and-after study. SETTING: Tertiary and quaternary care academic medical center. PATIENTS: Emergency department (ED) or admitted adult patients meeting best practice alert (BPA) criteria during pre- and post-BPA periods. METHODS: We developed a BPA to alert AS pharmacists of potential ASB triggered by the following criteria: ED or admitted status, antibiotic order with genitourinary indication, and a preceding urinalysis with ≤ 10 WBC/hpf. We evaluated the median time from antibiotic order to AS intervention and overall percent of UTI-related interventions among patients in pre-BPA (01/2020-12/2020) and post-BPA (04/15/2021-04/30/2022) periods. RESULTS: 774 antibiotic orders met inclusion criteria: 355 in the pre- and 419 in the post-BPA group. 43 (35 UTI-related) pre-BPA and 117 (94 UTI-related) post-BPA interventions were documented. The median time to intervention was 28 hours (IQR 18-65) in the pre-BPA group compared to 16 hours (IQR 2-34) in the post-BPA group (P < 0.01). Despite absent pyuria, there were six cases with gram-negative bacteremia presumably from a urinary source. CONCLUSIONS: Automated identification of antibiotics targeting UTI without pyuria on urinalysis reduced the time to stewardship intervention and increased the rate of UTI-specific interventions. Clinical decision support aided in the efficiency of AS review and syndrome-targeted impact, but cases still required AS clinical review.

Duke Scholars

Published In

Antimicrob Steward Healthc Epidemiol

DOI

EISSN

2732-494X

Publication Date

2024

Volume

4

Issue

1

Start / End Page

e158

Location

England
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Deri, C. R., Moehring, R. W., Turner, N. A., Spivey, J., Advani, S. D., Wrenn, R. H., & Yarrington, M. E. (2024). Effect of automated identification of antimicrobial stewardship opportunities for suspected urinary tract infections. Antimicrob Steward Healthc Epidemiol, 4(1), e158. https://doi.org/10.1017/ash.2024.437
Deri, Connor R., Rebekah W. Moehring, Nicholas A. Turner, Justin Spivey, Sonali D. Advani, Rebekah H. Wrenn, and Michael E. Yarrington. “Effect of automated identification of antimicrobial stewardship opportunities for suspected urinary tract infections.Antimicrob Steward Healthc Epidemiol 4, no. 1 (2024): e158. https://doi.org/10.1017/ash.2024.437.
Deri CR, Moehring RW, Turner NA, Spivey J, Advani SD, Wrenn RH, et al. Effect of automated identification of antimicrobial stewardship opportunities for suspected urinary tract infections. Antimicrob Steward Healthc Epidemiol. 2024;4(1):e158.
Deri, Connor R., et al. “Effect of automated identification of antimicrobial stewardship opportunities for suspected urinary tract infections.Antimicrob Steward Healthc Epidemiol, vol. 4, no. 1, 2024, p. e158. Pubmed, doi:10.1017/ash.2024.437.
Deri CR, Moehring RW, Turner NA, Spivey J, Advani SD, Wrenn RH, Yarrington ME. Effect of automated identification of antimicrobial stewardship opportunities for suspected urinary tract infections. Antimicrob Steward Healthc Epidemiol. 2024;4(1):e158.

Published In

Antimicrob Steward Healthc Epidemiol

DOI

EISSN

2732-494X

Publication Date

2024

Volume

4

Issue

1

Start / End Page

e158

Location

England