A digital health program for treatment of urinary incontinence: retrospective review of real-world user data

Real-World Evidence From a Digital Health Treatment Program for Female Urinary Incontinence: Observational Study of Outcomes Following User-Centered Product Design

BACKGROUND

Urinary incontinence (UI) affects millions of women with substantial health and quality-of-life impacts. Supervised pelvic floor muscle training (PFMT) is the recommended first-line treatment. However, multiple individual and institutional barriers impede women's access to skilled care. Evidence suggests that digital health solutions are acceptable and may be effective in delivering first-line incontinence treatment, although these technologies have not yet been leveraged at scale.

OBJECTIVE

The primary objective is to describe the effectiveness and safety of a prescribed digital health treatment program to guide PFMT for UI treatment among real-world users. The secondary objectives are to evaluate patient engagement following an updated user platform and identify the factors predictive of success.

METHODS

This retrospective cohort study of women who initiated device use between January 1, 2022, and June 30, 2023, included users aged ≥18 years old with a diagnosis of stress, urgency, or mixed incontinence or a score of >33.3 points on the Urogenital Distress Inventory Short Form (UDI-6). Users are prescribed a 2.5-minute, twice-daily, training program guided by an intravaginal, motion-based device that pairs with a smartphone app. Data collected by the device or app include patient-reported demographics and outcomes, adherence to the twice-daily regimen, and pelvic floor muscle performance parameters, including angle change and hold time. Symptom improvement was assessed by the UDI-6 score change from baseline to the most recent score using paired 2-tailed t tests. Factors associated with meeting the UDI-6 minimum clinically important difference were evaluated by regression analysis.

RESULTS

Of 1419 users, 947 met inclusion criteria and provided data for analysis. The mean baseline UDI-6 score was 46.8 (SD 19.3), and the mean UDI-6 score change was 11.3 (SD 19.9; P<.001). Improvement was reported by 74% (697/947) and was similar across age, BMI, and incontinence subtype. Mean adherence was 89% (mean 12.5, SD 2.1 of 14 possible weekly uses) over 12 weeks. Those who used the device ≥10 times per week were more likely to achieve symptom improvement. In multivariate logistic regression analysis, baseline incontinence symptom severity and maximum angle change during pelvic floor muscle contraction were significantly associated with meeting the UDI-6 minimum clinically important difference. Age, BMI, and UI subtype were not associated.

CONCLUSIONS

This study provides real-world evidence to support the effectiveness and safety of a prescribed digital health treatment program for female UI. A digital PFMT program completed with visual guidance from a motion-based device yields significant results when executed ≥10 times per week over a period of 12 weeks. The program demonstrates high user engagement, with 92.9% (880/947) of users adhering to the prescribed training regimen. First-line incontinence treatment, when implemented using this digital program, leads to statistically and clinically substantial symptom improvements across age and BMI categories and incontinence subtypes.

Use of a Digital Conversational Agent for the Management of Overactive Bladder

IMPORTANCE

Conservative therapy is effective for the treatment of overactive bladder (OAB) but may be limited by accessibility to care.

OBJECTIVE

The objective of this study was to evaluate the efficacy of a digital conversational agent (CeCe) for the treatment of OAB.

STUDY DESIGN

This was a prospective observational trial utilizing a digital conversational agent developed by Renalis University Hospitals (Cleveland, Ohio) for the treatment of OAB. Patients were given access to CeCe over an 8-week period and were instructed on how to perform bladder training and pelvic floor exercises and taught about bladder health. The primary outcome was a decrease in the International Consultation on Incontinence-Overactive Bladder Quality-of-Life Questionnaire (ICIQ-OAB-QoL) score from week 1 to week 8. Patients also completed the 36-item Short-Form Health Survey and Generalized Anxiety Disorder Questionnaire at the same intervals and voiding diaries at weeks 1, 4, and 8. A power analysis was performed and determined that a total of 30 patients would be needed to demonstrate a significant difference in symptom scores after use of CeCe with 80% power and an α error of 5%.

RESULTS

Twenty-nine patients completed all data collection. The ICIQ-OAB-QoL scores were significantly different between weeks 1 and 8 (62 [IQR], 49-75) vs 32 [IQR, 24-43]; P < 0.001). Patients also reported a decrease in frequency pretreatment and posttreatment (7 [IQR, 6-10] vs 5 [IQR, 4-7]; P = -0.04), nocturia (2 [IQR, 1-3] vs 1 [IQR, 1-2]; P = 0.03), and urge urinary incontinence (2 [IQR, 1-5] vs 0 [IQR, 0-3]; P = 0.04). Consumption of alcohol decreased from week 1 to week 8 (24 oz [IQR, 12-36 oz) to 14 oz (IQR, 9-22 oz]; P = 0.02).

CONCLUSION

The use of a digital conversational agent effectively reduced the severity of symptoms and improved quality of life in patients with OAB.

Digital Care Program for Urinary Incontinence in Females: A Large-Scale, Prospective, Cohort Study

Female urinary incontinence (UI) is highly prevalent in the US (>60%). Pelvic floor muscle training (PFMT) represents first-line care for UI; however, access and adherence challenges urge new care delivery models. This prospective cohort study investigates the feasibility and safety of a remote digital care program (DCP) combining education and PFMT with real-time biofeedback with an average duration of 10 weeks. The primary outcome was the change in the Urinary Impact Questionnaire-short form (UIQ-7) from baseline to program-end, calculated through latent growth curve analysis (LGCA). Secondary outcomes included the impact of pelvic conditions (PFIQ-7), depression (PHQ-9), anxiety (GAD-7), productivity impairment (WPAI), intention to seek additional healthcare, engagement, and satisfaction. Of the 326 participants who started the program, 264 (81.0%) completed the intervention. Significant improvement on UIQ-7 (8.8, 95%CI 4.7; 12.9, p < 0.001) was observed, corresponding to a response rate of 57.3%, together with improvements in all other outcomes and high satisfaction (8.9/10, SD 1.8). This study shows the feasibility and safety of a completely remote DCP with biofeedback managed asynchronously by a physical therapist to reduce UI-related symptoms in a real-world setting. Together, these findings may advocate for the exploration of this care delivery option to escalate access to proper and timely UI care.