P-808. Nudging Strategies in Microbiology Laboratory Reports: An Updated Systematic Review
Esther Jeong, Bradley J Langford, Elizabeth Leung, Jenna Wong, Vaishnav Sivakumar, Glyneva Bradley-Ridout, Larissa Matukas

TL;DR
This paper reviews how changes in microbiology lab reports can guide better antibiotic use by clinicians.
Contribution
An updated systematic review of nudging strategies in microbiology reports and their impact on antimicrobial prescribing.
Findings
Selective antimicrobial reporting was the most common nudging strategy used.
Nudging was associated with improved or reduced antibiotic prescribing in 74% of studies.
Most studies were conducted in inpatient settings with adult patients.
Abstract
Nudging strategies in microbiology laboratory reports can influence decision-making by helping clinicians make more appropriate antimicrobial prescribing choices. We aimed to update a 2019 scoping review to evaluate the existing literature on nudging in microbiology laboratory reports and its association with antimicrobial prescribing.Figure 1:PRISMA Diagram PRISMA Diagram In alignment with PRISMA reporting guidance, a comprehensive search was conducted across databases including Ovid MEDLINE, Embase, EBSCO CINAHL, Cochrane, and clinical trial registries, with no restrictions on language or start date. Key search terms targeted concepts of nudging, decision-making and behaviour, and microbiology. Eligible studies involved the use of nudging strategies in microbiology reports for all human populations in any healthcare setting, excluding non-interventional and simulated studies. The…
Click any figure to enlarge with its caption.
Figure 1Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBacterial Identification and Susceptibility Testing · Antibiotic Use and Resistance · Meta-analysis and systematic reviews
