The UDI-6 is a likert scale based questionnaire that calculates the mean of the scores and multiplies that mean by 25 to scale the instrument to an "actual score" with a range of 0 - 100 with a questions specifically related to stress urinary incontinence. The higher the score the greater perceived negative impact on an individual's quality of life The MID represents a clinically significant improvement in self-reported symptomatology. Distribution-based methods rely on the distribution of scores within a population and relate clinical significance to a change in magnitude at least equal to a statistical parameter of group data such as standard deviation (SD). This is traditionally assessed by including the effect size and standard error of measurement (SEM). A medium effect (0.5 SD) and a small effect size (0.2SD). The MID is estimated as 1 SEM.

The UIQ-7 is a likert scale based questionnaire that calculates the mean of the scores and multiplies that mean by 25 to scale the instrument to an "actual score" with a range of 0 - 100. The higher the score the greater perceived negative impact on an individual's quality of life. The MID represents a clinically significant improvement in self-reported symptomatology. Anchor-based methods assess responsiveness in relation to an external event or rating to quantify the meaning of the particular degree of change. This is traditionally assessed by a moderate relationship noted using correlations between the negative score change and the external anchor. Participants will complete the UDI-6 at baseline and after 6 weeks. The MID will defined by the mean score change reported by women who indicate improvement on the Patient Global Impression of severity (PGI-S) and Improvement (PGI-I).

The UIQ-7 is a likert scale based questionnaire that calculates the mean of the scores and multiplies that mean by 25 to scale the instrument to an "actual score" with a range of 0 - 100. The higher the score the greater perceived negative impact on an individual's quality of life The MID represents a clinically significant improvement in self-reported symptomatology. Distribution-based methods rely on the distribution of scores within a population and relate clinical significance to a change in magnitude at least equal to a statistical parameter of group data such as standard deviation (SD). This is traditionally assessed by including the effect size and standard error of measurement (SEM). A medium effect (0.5 SD) and a small effect size (0.2SD). The MID is estimated as 1 SEM.