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Supporting the improvement and management of prescribing for urinary tract infections (SIMPle): protocol for a cluster randomized trial

Overview of attention for article published in Trials, December 2013
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Title
Supporting the improvement and management of prescribing for urinary tract infections (SIMPle): protocol for a cluster randomized trial
Published in
Trials, December 2013
DOI 10.1186/1745-6215-14-441
Pubmed ID
Authors

Sinead Duane, Aoife Callan, Sandra Galvin, Andrew W Murphy, Christine Domegan, Eamon O’Shea, Martin Cormican, Kathleen Bennett, Martin O’Donnell, Akke Vellinga

Abstract

The overuse of antimicrobials is recognized as the main selective pressure driving the emergence and spread of antimicrobial resistance in human bacterial pathogens. Urinary tract infections (UTIs) are among the most common infections presented in primary care and empirical antimicrobial treatment is currently recommended. Previous research has identified that a substantial proportion of Irish general practitioners (GPs) prescribe antimicrobials for UTIs that are not in accordance with the Guidelines for Antimicrobial Prescribing in Primary Care in Ireland. The aim of this trial is to design, implement and evaluate the effectiveness of a complex intervention on GP antimicrobial prescribing and adult (18 years of age and over) patients' antimicrobial consumption when presenting with a suspected UTI.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Ireland 1 <1%
Unknown 150 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 16%
Student > Ph. D. Student 23 15%
Student > Master 22 14%
Student > Bachelor 11 7%
Student > Doctoral Student 8 5%
Other 24 16%
Unknown 40 26%
Readers by discipline Count As %
Medicine and Dentistry 43 28%
Nursing and Health Professions 14 9%
Pharmacology, Toxicology and Pharmaceutical Science 12 8%
Social Sciences 11 7%
Computer Science 4 3%
Other 20 13%
Unknown 48 32%