inContAlert: Identifying Adoption Factors and Design Principles Affecting the Intention of Incontinent Patients to Adopt Mobile Health Applications

• Conditions: rinary incontinence as well as similar functional and sensory disorders of the urinary bladder; R32; N39.3; N39.4; F98.0; N31; N32.8; G95.8; Unspecified urinary incontinence; Stress incontinence

• Registration Number: DRKS00021103
• Lead Sponsor: niversität Bayreuth, Projektgruppe Wirtschaftsinformatik des Fraunhofer FIT, Kernkompetenzzentrum FIM

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2020-05-12
• Study Completion: 2020-09-10
• Last Update Posted: 19 August 2024

Recruitment & Eligibility

• Status: Complete
• Sex: All
• Target Recruitment: 419

Inclusion Criteria

Urinary incontinence;
majority age

Exclusion Criteria

No urinary incontinence;
exclusive fecal incontinence;
no majority age

Study & Design

• Study Type: observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
We identified adoption factors of urinary incontinence patients regarding the adoption of mHealth solutions and derived design principles regarding the development of such mHealth. We focused on factors that foster the adoption by patients. Finally, we developed an adoption model and a catalog of specific design principles.

Secondary Outcome Measures

Name	Time	Method
Furthermore, we developed a sensor system that noninvasively determines the filling level of the urinary bladder and displays the filling level to a digital end device.