- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04408976
Implementation Study With Decision Support Based on Data
May 26, 2020 updated by: Tn Bonten, Leiden University Medical Center
Implementation Study With Machine Learning Based Decision Support Software for Treatment of Urinary Tract Infections in General Practice.
This study evaluates the implementation of a machine learning based clinical decision support system for treatment of patients presenting with an urinary tract infection in general practice.
The software was developed to support general practitioners in the choice of antibiotic regimen.
Study Overview
Status
Completed
Conditions
Study Type
Observational
Enrollment (Actual)
16824
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Utrecht, Netherlands
- Netherlands Institute for Health Services Research
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
12 years and older (Child, Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Patients with a urinary tract infection diagnosed by the general practitioner
Description
Inclusion Criteria:
- Patients with a urinary tract infection in general practice
- Age > 12 years.
Exclusion Criteria:
- No.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Software practices
Patients with urinary tract infection in practices using the clinical decision support software
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Control practices
Patients with urinary tract infection in practices not using the clinical decision support software
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Non-recurrent UTI
Time Frame: 28 days
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A subsequent period of time after treatment, in which no new UTI treatment was needed
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28 days
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Study Director: Willem Herter, Leiden University Medical Center
- Principal Investigator: Tobias Bonten, Leiden University Medical Center
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
November 13, 2017
Primary Completion (Actual)
May 16, 2018
Study Completion (Actual)
May 16, 2018
Study Registration Dates
First Submitted
May 26, 2020
First Submitted That Met QC Criteria
May 26, 2020
First Posted (Actual)
June 1, 2020
Study Record Updates
Last Update Posted (Actual)
June 1, 2020
Last Update Submitted That Met QC Criteria
May 26, 2020
Last Verified
May 1, 2020
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- P1746
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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-
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-
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