Wrist fracture Rheumatoid arthritis Gonorrhea HIV infection
Conditions
Interventions
Group 1: Upload medical finding of disease with low stigmatization potential, acute time course in EHR without integrated privacy fact sheet.
Group 2: Upload medical finding of disease with low stigma
Sponsors
Technische Universität Berlin - Fachgebiet Arbeitswissenschaft
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Resident in Germany, German mother tongue
Exclusion criteria
Exclusion criteria: History of illness with the disease assigned to the test group (wrist fracture/gonorrhea/rheumatoid arthritis/HIV infection)
Design outcomes
Secondary
| Measure | Time frame |
|---|---|
| Survey of the model constructs of the mHealth Privacy Calculus Model (von Kalckreuth & Feufel, 2023) intention to use, perceived benefit, privacy concerns, social norms, trust in the provider, attitude towards privacy and perceived control over personal data. | — |
Primary
| Measure | Time frame |
|---|---|
| Survey of actual upload behavior to the electronic health record. | — |
Countries
Germany
Contacts
Public ContactNiklas von Kalckreuth
Technische Universität Berlin - Fachgebiet Arbeitswissenschaft
Outcome results
None listed