Evidence map›Paper›PMID 39563917›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2024

Development and validation of an antimicrobial stewardship clinical decision-support tool to improve the management of urinary tract infections versus asymptomatic bacteriuria in hospitalized patients.

Mayan Gilboa, Renata Boatwright, Veronica Salazar, Julio C Simon, Brianna North, Christine Vu, Ana Vega, Kailynn Jennings Deronde, Rossana Rosa, Lilian M Abbo

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Mayan GilboaFaculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel.ORCID https://orcid.org/0000-0003-1754-7750
Renata BoatwrightDepartment of Pharmacy, Jackson Health System, Miami, FL, USA.
Veronica SalazarDepartment of Pharmacy, Jackson Health System, Miami, FL, USA.
Julio C SimonDepartment of Pharmacy, Jackson Health System, Miami, FL, USA.ORCID https://orcid.org/0009-0009-3415-9558
Brianna NorthDepartment of Pharmacy, Jackson Health System, Miami, FL, USA.ORCID https://orcid.org/0009-0001-6585-4694
Christine VuDepartment of Pharmacy, Jackson Health System, Miami, FL, USA.ORCID https://orcid.org/0000-0003-0162-5101
Ana VegaDepartment of Pharmacy, Jackson Health System, Miami, FL, USA.
Kailynn Jennings DerondeDepartment of Pharmacy, Jackson Health System, Miami, FL, USA.ORCID https://orcid.org/0000-0003-2133-3368
Rossana RosaDepartment of Infection prevention and control, Jackson Health System, Miami, FL, USA.
Lilian M AbboDepartment of Infection prevention and control, Jackson Health System, Miami, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the effectiveness of a 3-question decision-support tool to guide the diagnosis and treatment of urinary tract infections (UTIs) in acute care hospitalized patients as an antibiotic and diagnostic stewardship initiative. Design: Retrospective cohort study. Setting: Four acute care hospitals within the same health system in Miami, FL. Patients: 124, admitted from the emergency department and hospitalized adult patients, treated with antibiotics for the indication of a UTI between March and April 2023. Intervention: We developed a 3-step clinical decision-support tool (CDST) to evaluate the appropriateness of urine cultures and antibiotic treatment. The tool's recommendations when deciding to prescribe antibiotics were compared with the actual need for treatment throughout the hospitalization, up to the time of patient discharge. Results: Overall, 31% of antibiotics prescribed for UTIs were inappropriate and met the criteria for asymptomatic bacteriuria (ASB) based on the CDST. Prospective implementation of the decision-support tool could potentially reduce antibiotic use by 33.6%, corresponding to 265 days of unnecessary therapy. The sensitivity and specificity of the tool were calculated to be 98.6% and 100%, respectively, indicating high accuracy in identifying the need for antibiotic treatment. Urinalysis alone was insufficient to differentiate between symptomatic UTIs and ASB, with leukocyturia present in 95.3% of UTI cases and 94.6% of ASB cases ( Conclusions: Implementing a 3-question CDST may reduce unnecessary laboratory work-up and treatment for ASB improving the diagnostic and antimicrobial stewardship of UTIs.

Identifiers

PMID39563917
PMCPMC11574593

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.