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Effect of a Diagnostic Algorithm for Urinary Tract Infection in General Practice

NCT02698332 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1550

Last updated 2016-07-26

No results posted yet for this study

Summary

The aim of this study is to investigate the effect of diagnostic algorithm for urinary tract infection (UTI) on appropriate prescribing of antibiotics and use of diagnostics for patients with symptoms of urinary tract infection consulting their general practitioner.

70 general practices participating in an observational study regarding UTI are randomized to either receiving a diagnostic algorithm or not receiving anything additional.

The study is observational on the patient level and interventional on the practice level.

Conditions

Interventions

DEVICE

Algorithm for UTI

The algorithm consists of one sheet of laminated paper with instruction in how to diagnose UTI

Sponsors & Collaborators

  • University of Copenhagen

    lead OTHER

Principal Investigators

  • Anne Holm, MD · University of Copenhagen

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
DOUBLE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2016-03-31
Primary Completion
2016-06-30
Completion
2016-06-30

Countries

  • Denmark

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02698332 on ClinicalTrials.gov