Effect of a Diagnostic Algorithm for Urinary Tract Infection in General Practice
Primary Purpose
Urinary Tract Infection
Status
Completed
Phase
Not Applicable
Locations
Denmark
Study Type
Interventional
Intervention
Algorithm for UTI
Sponsored by
About this trial
This is an interventional diagnostic trial for Urinary Tract Infection
Eligibility Criteria
Inclusion Criteria:
- All patients presenting in general practice with symptoms of UTI who has not formerly participated in the study.
Exclusion Criteria:
- Acute admission to hospital.
Sites / Locations
- General Practice Copenhagen Region
Arms of the Study
Arm 1
Arm 2
Arm Type
Active Comparator
No Intervention
Arm Label
Algorithm for UTI
Control
Arm Description
Practices in this groups receives a diagnostic algorithm for UTI by post
Practices in this group does not receive anything in addition to instructions in the observational registration.
Outcomes
Primary Outcome Measures
Difference in appropriate primary choice of treatment in the two groups.
Difference in price of point-of-care diagnostics used in the two groups
Secondary Outcome Measures
Difference in appropriate final choice of treatment in the two groups.
Difference in appropriate choice of treatment on the day of consultation (day 1) in the two groups
Difference in appropriate choice of treatment on the day after consultation (day ) in the two groups
Difference in correct decision to treat on the day of consultation (day 1) in the two groups
Difference in correct decision to treat on the day after consultation (day 2) in the two groups
Number of diagnostics used in the two groups
Practice satisfaction with participation in the project in the two groups
All participating practices received an online questionnaire after participation evaluating satisfaction with participation, the diagnostic algorithm and the smart-phone integrated web-page. Being "very satisfied" and being "very likely" to participate in a similar project or use the algorithm in the future was considered a positive response.
Practice acceptance of the algorithm in the intervention group
All participating practices received an online questionnaire after participation evaluating satisfaction with participation, the diagnostic algorithm and the smart-phone integrated web-page. Being "very satisfied" and being "very likely" to participate in a similar project or use the algorithm in the future was considered a positive response.
Full Information
NCT ID
NCT02698332
First Posted
February 23, 2016
Last Updated
July 25, 2016
Sponsor
University of Copenhagen
1. Study Identification
Unique Protocol Identification Number
NCT02698332
Brief Title
Effect of a Diagnostic Algorithm for Urinary Tract Infection in General Practice
Official Title
Effect of a Diagnostic Algorithm for Urinary Tract Infection on Appropriate Use of Antibiotics and Diagnostics in General Practice - a Cluster Randomized Trial
Study Type
Interventional
2. Study Status
Record Verification Date
July 2016
Overall Recruitment Status
Completed
Study Start Date
March 2016 (undefined)
Primary Completion Date
June 2016 (Actual)
Study Completion Date
June 2016 (Actual)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
University of Copenhagen
4. Oversight
Data Monitoring Committee
No
5. Study Description
Brief 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.
Detailed Description
STUDY DESIGN AND SETTING Cluster randomized controlled single blinded study of a diagnostic aid in general practice RECRUITMENT OF GENERAL PRACTICES Recruitment of general practices was done through online advertisement in email newsletters for general practice, invitation by post of 200 practices and invitation of 44 general practices already participating in a medical audit project regarding UTI (ref til Gloria). Only practices in the Capital Region of Denmark could participate.
RANDOMIZATION AND BLINDING Randomization was performed using an online random number generator and an employee not part of the investigation team sent out the diagnostic algorithm to the intervention group. The practices were asked not to reveal their allocation to the investigators in case of contact. Allocation was concealed to the investigators until after analysis of the primary outcomes.
INTERVENTION AND CONTROLS The practices in the intervention group received a laminated diagnostic algorithm by post and got access to a smart-phone integrated web-page, which could calculate post-test probabilities based on pre-test probabilities and accuracy of diagnostic tests .The diagnostic algorithm consists of three parts, one about urine dipstick, one about point-of-care microscopy and one about urine culture . The practices were instructed, use of the algorithm was voluntary. Control practices did not receive a diagnostic algorithm and did not have access to the smart-phone integrated web-page.
RECRUITMENT OF PATIENTS The practices were told to register diagnostics and treatment on the first 20-40 patients presenting in general practice with symptoms of UTI regardless of age, sex and comorbidity. For each patient, the practice sent a urine sample to the microbiological department as reference.
INCLUSION AND EXCLUSION CRITERIA Inclusion criteria were all patients with symptoms of UTI who had not formerly participated in the study and where urinalysis was performed. The only exclusion criterion was acute admission to hospital.
DATA COLLECTION AND MANAGEMENT On the patient-level, the study was observational and anonymous. The practices registered clinical history, diagnostics and treatment using a case-report form where data on all patients fit into one sheet of paper. On day one (the day of consultation), clinical history, diagnostics, diagnosis and treatment were registered. On day two (the day after the consultation), result of the point-of-care urine culture, if such was performed, and the subsequent diagnosis and treatment were registered. The result of the reference urine culture was registered when the result was reported back to the practice on day 4-6. The intervention group could use the algorithm as they saw fit.
REFERENCE CULTURE Urine for the microbiological department was incubated in a standardized boric-acid container (Urine-Monovette®, Sarstedt) and collected by a transport service from the microbiological departments. At the microbiological laboratories (Herlev and Hvidovre), urine sample were analyzed on Inoqul A™ Bi-plate (CHROMagar and blood agar) with 10 μL on each half of the agar. The susceptibility pattern was determined on Mueller Hinton agars with disks containing mecillinam, trimethoprim, nitrofurantoin and sulfamethizol. Significant growth was defined as growth of ≥103 cfu/mL for E. coli and S. saprophyticus, ≥104 cfu/mL for other typical uropathogens and ≥105 cfu/ml for possible uropathogens in accordance with European consensus[21]. Plates with significant growth of more than two uropathogens were labeled as mixed cultures (inconclusive). The result was sent to practices within 4-5 workdays electronically and practices registered the result of the culture and susceptibility against mecillinam, trimethoprim, nitrofurantoin and sulfamethizol on the case-report.
ETHICS AND PATIENT SAFETY The study was presented to the ethical committee of Copenhagen and did not require ethical approval since the study was purely observational on the patient level and did not interfere with patient-treatment. Registration of patient data was done anonymously and did not require approval from the Danish data protection agency.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Urinary Tract Infection
7. Study Design
Primary Purpose
Diagnostic
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
InvestigatorOutcomes Assessor
Allocation
Randomized
Enrollment
1550 (Actual)
8. Arms, Groups, and Interventions
Arm Title
Algorithm for UTI
Arm Type
Active Comparator
Arm Description
Practices in this groups receives a diagnostic algorithm for UTI by post
Arm Title
Control
Arm Type
No Intervention
Arm Description
Practices in this group does not receive anything in addition to instructions in the observational registration.
Intervention Type
Device
Intervention Name(s)
Algorithm for UTI
Intervention Description
The algorithm consists of one sheet of laminated paper with instruction in how to diagnose UTI
Primary Outcome Measure Information:
Title
Difference in appropriate primary choice of treatment in the two groups.
Time Frame
3 months
Title
Difference in price of point-of-care diagnostics used in the two groups
Time Frame
3 months
Secondary Outcome Measure Information:
Title
Difference in appropriate final choice of treatment in the two groups.
Time Frame
3 months
Title
Difference in appropriate choice of treatment on the day of consultation (day 1) in the two groups
Time Frame
3 months
Title
Difference in appropriate choice of treatment on the day after consultation (day ) in the two groups
Time Frame
3 months
Title
Difference in correct decision to treat on the day of consultation (day 1) in the two groups
Time Frame
3 months
Title
Difference in correct decision to treat on the day after consultation (day 2) in the two groups
Time Frame
3 months
Title
Number of diagnostics used in the two groups
Time Frame
3 months
Title
Practice satisfaction with participation in the project in the two groups
Description
All participating practices received an online questionnaire after participation evaluating satisfaction with participation, the diagnostic algorithm and the smart-phone integrated web-page. Being "very satisfied" and being "very likely" to participate in a similar project or use the algorithm in the future was considered a positive response.
Time Frame
4 months
Title
Practice acceptance of the algorithm in the intervention group
Description
All participating practices received an online questionnaire after participation evaluating satisfaction with participation, the diagnostic algorithm and the smart-phone integrated web-page. Being "very satisfied" and being "very likely" to participate in a similar project or use the algorithm in the future was considered a positive response.
Time Frame
4 months
Other Pre-specified Outcome Measures:
Title
Association between use of microscopy and appropriate use of antibiotics on the day of consultation
Description
Outside randomization (embedded cohort study)
Time Frame
3 months
Title
Association between use of microscopy and appropriate use of antibiotics on the day after consultation
Description
Outside randomization (embedded cohort study)
Time Frame
3 months
Title
Association between use of point-of care culture and appropriate use of antibiotics on the day of consultation
Description
Outside randomization (embedded cohort study)
Time Frame
3 months
Title
Association between use of point-of care culture and appropriate use of antibiotics on the day after consultation
Description
Outside randomization (embedded cohort study)
Time Frame
3 months
10. Eligibility
Sex
All
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria:
All patients presenting in general practice with symptoms of UTI who has not formerly participated in the study.
Exclusion Criteria:
Acute admission to hospital.
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Anne Holm, MD
Organizational Affiliation
University of Copenhagen
Official's Role
Principal Investigator
Facility Information:
Facility Name
General Practice Copenhagen Region
City
Copenhagen
ZIP/Postal Code
1014
Country
Denmark
12. IPD Sharing Statement
Plan to Share IPD
No
Citations:
PubMed Identifier
33419902
Citation
Holm A, Siersma V, Cordoba GC. Diagnosis of urinary tract infection based on symptoms: how are likelihood ratios affected by age? a diagnostic accuracy study. BMJ Open. 2021 Jan 8;11(1):e039871. doi: 10.1136/bmjopen-2020-039871.
Results Reference
derived
PubMed Identifier
33356665
Citation
Holm A, Siersma V, Bjerrum L, Cordoba G. Availability of point-of-care culture and microscopy in general practice - does it lead to more appropriate use of antibiotics in patients with suspected urinary tract infection? Eur J Gen Pract. 2020 Dec;26(1):175-181. doi: 10.1080/13814788.2020.1853697.
Results Reference
derived
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Effect of a Diagnostic Algorithm for Urinary Tract Infection in General Practice
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