Virtual Reality for Urinary Incontinence in Women
NCT07070063
Female Urogenital Diseases, Female Urogenital Diseases and Pregnancy Complications
Wroclaw, Lower Silesian Voivodeship, Poland
View Trial DetailsNCT Number: NCT01479816
This study will analyse existing data to establish a clinically useful index to predict those women who are more likely to become incontinent. This would create significant opportunities for focused prevention and early intervention strategies.
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Notify Me55 year and older
Female
Observational
Oakland University, Rochester, Michigan, United States
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 2 years
Several risk factors identified can serve as an index in predicting the development of urinary incontinence in elderly women.
Time frame: 3 years
The urinary continence index developed in Outcome measure 1 will reliably predict the development of urinary incontinence in women when tested against existing datasets.
Ananias Diokno
Other
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