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.
Study Type
OBSERVATIONAL
Enrollment
702
Oakland University
Rochester, Michigan, United States
William Beaumont Hospital
Royal Oak, Michigan, United States
Index Estimation for Urinary Incontinence Prediction
Several risk factors identified can serve as an index in predicting the development of urinary incontinence in elderly women.
Time frame: 2 years
Predictive Reliability of Urinary Incontinence Index and its Validation
The urinary continence index developed in Outcome measure 1 will reliably predict the development of urinary incontinence in women when tested against existing datasets.
Time frame: 3 years
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