Impact of Digital Technology on the Health-related Quality of Life

Recruiting

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

• Registration Number: DRKS00024151
• Lead Sponsor: niversität Bayreuth, Projektgruppe Wirtschaftsinformatik des Fraunhofer FIT, Kernkompetenzzentrum FIM

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2021-01-25
• Last Update Posted: 19 August 2024

Recruitment & Eligibility

• Status: Recruiting
• Sex: All
• Target Recruitment: 150

Inclusion Criteria

Bladder dysfunction or assistant to a person with bladder dysfunction;
majority age;
declaration of consent

Exclusion Criteria

Illiteracy or insufficient knowledge of English or German;
missing declaration of consent;
participant neither suffers from bladder dysfunction nor experiences them as an assistant to a patient

Study & Design

• Study Type: observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
The aim of the study is to validate the extended HRQOL model and to investigate the impact of inContAlert on the quality of life of individuals with bladder dysfunction. For this purpose, we conduct a survey and use PLS-SEM to analyze the data obtained. The target criteria are the path coefficients and their significance. Hence, our study enables for a quantitative evaluation of the model. The PLS-SEM results show whether digital technologies influence the quality of life. Specifically, this study allows us to assess whether the use of inContAlert is associated with positive, negative, or no effects on the quality of life and its determinants.

Secondary Outcome Measures

Name	Time	Method
In addition, we use common quality criteria to evaluate the measurement models in terms of validity and reliability.