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OpenTrials
Completed

NCT Number: NCT04408976

Implementation Study With Decision Support Based on Data

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.

Completed

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Key information

Age range

12 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Netherlands Institute for Health Services Research

Utrecht, Netherlands

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patients with a urinary tract infection in general practice
  • Age > 12 years.

Exclusion criteria

  • No.

Treatment and study plan

Primary outcomes

  1. Non-recurrent UTI

    Time frame: 28 days

    A subsequent period of time after treatment, in which no new UTI treatment was needed

Sponsors and collaborators

Lead sponsor

Leiden University Medical Center

Other

Collaborators

  • Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
  • Netherlands Instititute for Health Services Research
  • Pacmed BV
  • Zorgverzekeraar CZ
  • Zorgverzekeraar Menzis
  • Zorgverzekeraar Zilveren Kruis

Registry information

Official study title

Implementation Study With Machine Learning Based Decision Support Software for Treatment of Urinary Tract Infections in General Practice.

Important dates

Study start
2017
Primary completion
2018
Study completion
2018
First posted
Jun 1, 2020
Registry last updated
Jun 1, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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