ArticleInfection control and hospital epidemiology2023
Using clinical decision support to improve urine testing and antibiotic utilization.
Article in Infection control and hospital epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 12 citations in OpenAlex.
- Improving urine testing stewardship with a technology-leveraged urine testing guideline.Infection control and hospital epidemiology · 2026Article
- Urine Testing in Children with Viral Symptoms: A Nationwide Analysis of Ambulatory Visits, 2014-2019.The Journal of pediatrics · 2025Article
- Feasibility of Licensed Vocational Nurses Using a CDS App to Communicate Signs and Symptoms of a UTI.Nursing research and practice · 2025Article
- The impact of Boric Acid tubes on quantitative urinary bacterial cultures in hospitalized patients.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024Article
- A decade of clinical microbiology: top 10 advances in 10 years: what every infection preventionist and antimicrobial steward should know.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024Review
- Effect of automated identification of antimicrobial stewardship opportunities for suspected urinary tract infections.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveUrine cultures collected from catheterized patients have a high likelihood of false-positive results due to colonization. We examined the impact of a clinical decision support (CDS) tool that includes catheter information on test utilization and patient-level outcomes.
methodsThis before-and-after intervention study was conducted at 3 hospitals in North Carolina. In March 2021, a CDS tool was incorporated into urine-culture order entry in the electronic health record, providing education about indications for culture and suggesting catheter removal or exchange prior to specimen collection for catheters present >7 days. We used an interrupted time-series analysis with Poisson regression to evaluate the impact of CDS implementation on utilization of urinalyses and urine cultures, antibiotic use, and other outcomes during the pre- and postintervention periods.
resultsThe CDS tool was prompted in 38,361 instances of urine cultures ordered in all patients, including 2,133 catheterized patients during the postintervention study period. There was significant decrease in urine culture orders (1.4% decrease per month;
conclusionCDS tools can aid in optimizing urine culture collection practices and can serve as a reminder for removal or exchange of long-term indwelling urinary catheters at the time of urine-culture collection.
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.