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Think Dry: Optimalisation of Diagnostic Process of Urinary Incontinence in Older People

Recruiting
Conditions
Incontinence, Urge
Incontinence Stress
Incontinence, Daytime Urinary
Incontinence, Nighttime Urinary
Registration Number
NCT04094753
Lead Sponsor
University Hospital, Ghent
Brief Summary

Urinary incontinence is an increasing medical and socio-economical problem. 44% of the elderly (\>65 years) women and 28% of the elderly men suffer from unwilling urine loss. Moreover, this percentages increase with age. Incontinence is a problem with multiple physical, psychological, and financial effects. In addition incontinence has a important impact on the family and healthcare professionals surrounding the elderly.

The problem of urinary incontinence is complex and multifactorial. Moreover, diagnostic guidelines are inconsistent leading to a high amount of technical interventions to diagnose and to specify the type of incontinence.

Aim of this study is to create a short form of necessary technical investigations to diagnose and evaluate urinary incontinence.

Detailed Description

Not available

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
202
Inclusion Criteria
  • >= 65 years
  • Every type of incontinence: stress, urge, mixed.
Exclusion Criteria
  • Patients with an indwelling urinary catheter are doing clean intermittent catheterization are excluded from the study protocol
  • Patients with dementia are excluded from the study, based on N-Cog evaluation

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Decreasing the amount of necessary technical investigations to diagnose incontinence1 month

Based on international guidelines different technical investigations are used and approved to observe the type of urinary incontinence individually. Nevertheless, based on expert opinion all technical investigations schould be done together. However this combination of different technical investigations (urodynamics, questionaires, voiding dairy and clinical examination) is not evidence based and time consuming. We want to develop a statistical model to decrease the need of technical investigations to obtain a correct diagnose of stress urinary incontinence, urge urinary incontinence or mixed incontinence.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Department of Urology, Ghent University Hospital

🇧🇪

Gent, Belgium

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