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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
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% |