Urinary 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
Conditions
Interventions
Group 1: In this study, we aim at developing an adoption model and hence deriving design principles to support the adoption of mHealth solutions by chronic disease patients, such as urinary incontinen
Sponsors
Universität Bayreuth, Projektgruppe Wirtschaftsinformatik des Fraunhofer FIT, Kernkompetenzzentrum FIM
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Urinary incontinence; majority age
Exclusion criteria
Exclusion criteria: No urinary incontinence; exclusive fecal incontinence; no majority age
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 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
| Measure | Time frame |
|---|---|
| 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. | — |
Countries
Germany
Contacts
Public ContactMichael Burkard
Universität Bayreuth, Projektgruppe Wirtschaftsinformatik des Fraunhofer FIT, Kernkompetenzzentrum FIM
Outcome results
None listed