SynthesisBMC infectious diseases2025
The effects of information technology interventions for optimizing antibiotic prescribing in urinary tract infections: a systematic review.
Synthesis in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesInformation technology (IT) solutions can facilitate evidence-based decision-making for antibiotic use by delivering timely information directly to clinicians at the point of care. This study aimed to evaluate the effects of IT interventions in optimizing antibiotic prescribing for urinary tract infections (UTIs).
methodsA comprehensive search was performed in Medline (through PubMed), Web of Science, and Scopus databases from inception to June 2024. The study included randomized controlled trials (RCTs) and cluster randomized controlled trials (CRCTs) that investigated the effects of IT interventions on optimizing antibiotic prescribing for UTI patients. Participants were patients with UTI. IT interventions were used for improving antibiotic prescribing. Two researchers independently extracted data from studies on study characteristics, intervention details, and intended outcomes.
resultsTen eligible studies (5 RCTs and 5 CRCTs) were included. Clinical decision support systems (CDSS) were the most common intervention type (50% of studies), often integrated with electronic health records (EHRs). Results showed mixed effects across patient-related, prescriber-related, and economic outcomes. While patient outcomes, typically measured as secondary endpoints, showed no statistically significant differences, prescriber-related outcomes showed more promising results. Four studies reported significant reductions in overall antibiotic prescribing rates, and two studies demonstrated significant increases in antibiotic appropriateness. Additionally, some studies showed decreased laboratory test orders and reduced emergency department visit durations. However, economic outcomes remained largely unaffected.
conclusionThe review suggests that IT interventions, especially those focusing on prescriber behavior, hold significant promise for optimizing antibiotic prescribing practices in UTI management. However, further research is needed to explore their effect on patient outcomes and cost-effectiveness. The findings underscore the potential of IT interventions as valuable tools for combating antibiotic resistance in UTI treatment. CLINICAL TRIAL: Not applicable.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.