Evidence map›Paper›PMID 24799721›Full record

ArticleThe Canadian journal of hospital pharmacy2014

Urinary Tract Infections: Leading Initiatives in Selecting Empiric Outpatient Treatment (UTILISE).

Eric Landry, Linda Sulz, Ali Bell, Lane Rathgeber, Heather Balogh

Open access · bronzeAbstract read
In one paragraph

Article in The Canadian journal of hospital pharmacy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Antimicrobial stewardship programs in emergency departments: how do we measure antimicrobial use? A systematic review.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2021
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  9. Antimicrobial Stewardship in the Emergency Department.Infectious diseases and therapy · 2015
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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

5 authors at 2 institutions in 1 country.

Eric Landry, BSP, ACPR, was, at the time of this study, a pharmacy practice resident (2011/2012) with the Regina Qu'Appelle Health Region, Regina, Saskatchewan, and completed this project in partial fulfillment of the residency requirements. He is currently with the College of Pharmacy and Nutrition at the University of Saskatchewan, Saskatoon, Saskatchewan, as Coordinator of the Medication Assessment Centre.
Linda Sulz, BSP, PharmD, is with the Regina Qu'Appelle Health Region, Regina, Saskatchewan.
Ali Bell, MA, MSc, is with the Regina Qu'Appelle Health Region, Regina, Saskatchewan.
Lane Rathgeber, BSc, MD, CCFP(EM), is with the Regina Qu'Appelle Health Region, Regina, Saskatchewan.
Heather Balogh, BSP, is with the Regina Qu'Appelle Health Region, Regina, Saskatchewan.
Regina Qu'Appelle Health Region · CAUniversity of Saskatchewan · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOveruse of fluoroquinolone antibiotics is associated with outbreaks of methicillin-resistant Staphylococcus aureus and of Clostridium difficile-associated diarrhea and increasing resistance in gram-negative organisms. Over the past decade, resistance of Escherichia coli to ciprofloxacin has increased in the Regina Qu'Appelle Health Region. In August 2011, an exploratory audit of the Regina General Hospital (RGH) emergency department showed that 20% of new antibiotic orders were for fluoroquinolones, and 60% of these new fluoroquinolone orders were for ciprofloxacin. It was postulated that ciprofloxacin was predominantly prescribed for outpatients with urinary tract infection.

objectiveTo develop, implement, and evaluate a best-practice algorithm for the empiric treatment of uncomplicated urinary tract infection in the RGH emergency department, as part of an educational initiative for emergency physicians.

methodsA literature review was conducted and local antibiogram data were analyzed to establish a best-practice algorithm for treatment of uncomplicated urinary tract infection in outpatients seen in the emergency department. A chart review was conducted from January to March 2011 to establish a baseline of empiric antibiotic use. An educational strategy targeting emergency physicians described changes in antibiotic resistance patterns in the health region, principles of antimicrobial stewardship, drivers of resistance, and the results of a literature review of best practice for urinary tract infection in outpatients. A post-intervention audit was conducted from January to March 2012 to determine changes in practice.

resultsComparison of results from the post-intervention audit with baseline data showed that adherence to best practice increased significantly, from 41% (39/96) before the intervention to 66% (50/76) after the intervention (odds ratio [OR] 2.81, 95% confidence interval [CI] 1.51-5.25; p < 0.001). There was also a significant change in overall antibiotic selection (OR 0.25, 95% CI 0.11-0.58; p < 0.001). Further analysis suggested that this significant change was driven by a decrease in use of ciprofloxacin, from 32% (31/96) to 11% (8/76).

conclusionCreation of a best-practice algorithm and education focused on emergency physicians significantly increased adherence to best practice and optimized antibiotic prescribing for outpatients with uncomplicated urinary tract infection by limiting overuse of fluoroquinolones, primarily ciprofloxacin.

Indexed as

emergency departmentempiric treatmentEscherichia coli resistancefluoroquinolonesurinary tract infection

Identifiers

PMID24799721
PMCPMC4006756
OpenAlexW2165942100

What OpenQuestion holds

Textmetadata
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.