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

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00024151

Enrollment

150

Registered

2021-01-25

Start date

2021-01-21

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Urinary 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

Interventions

Group 1: We collect data of patients with bladder dysfunction and their assistants through an online survey. Within the survey, we introduce the concept of a wearable specially developed for bladder m

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

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

Exclusion criteria

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

Design outcomes

Primary

Measure	Time frame
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.	—

Measure

Time frame

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

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

Countries

Australia, Austria, Canada, Germany, Ireland, New Zealand, United Kingdom, United States

Contacts

Public ContactKatrin Huff

Universität Bayreuth, Projektgruppe Wirtschaftsinformatik des Fraunhofer FIT, Kernkompetenzzentrum FIM

katrin.huff@fim-rc.de+49 170 4659455

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026