Study on Using a Prediction Model for UTI Antibiotic Treatment
This study is looking at how a special prediction model, called a Decision Aid-prediction model, can help doctors decide when to prescribe antibiotics for urinary tract infections (UTIs) in the emergency room. This model helps determine if you are likely to have a positive urine culture (meaning bacteria are present). If the model suggests a high likelihood, you would receive antibiotics. The study is for women over 18 who have been discharged from the emergency room with a UTI diagnosis and a prescription for antibiotics. The main goal is to see if using this model leads to more antibiotic-free days for patients. The current status of this study is unclear, and it plans to enroll 47 participants.
- Study design
- This interventional study plans to include 47 adult women. It is not specified if the study is randomized or blinded.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your medical records will be reviewed for up to 2 weeks after discharge to measure antibiotic-free days.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Application of a Prediction Model for Directing Antibiotic Use in the Treatment of Urinary Tract Infection in an Ambulatory Setting
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- David Sheyn, MD · PRINCIPAL_INVESTIGATOR · University Hospitals Cleveland Medical Center
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Number of antibiotic free days as measured by medical record review.Up to 2 weeks