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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04299269
Other study ID # 1617/2019
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date February 28, 2020
Est. completion date February 2023

Study information

Verified date April 2022
Source Medical University of Vienna
Contact Nikola Schütz, Dr.med.univ.
Phone 004314040019640
Email nikola.schuetz@meduniwien.ac.at
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The aim of this project is to identify a variable that discerns patients who are interested in their disease (atrial fibrillation/atrial flutter) from patients who show no interest and furthermore test this theory in a questionnaire survey. This should help distinguish between patients who are interested in shared decision making and patients who are not (further projects planned).


Recruitment information / eligibility

Status Recruiting
Enrollment 130
Est. completion date February 2023
Est. primary completion date November 2022
Accepts healthy volunteers No
Gender All
Age group 18 Years to 99 Years
Eligibility Inclusion Criteria: - Current atrial fibrillation/flutter - >18 years of age - sufficient knowledge of the german language to fill out the questionnaire Exclusion Criteria: - < 18 years of age - insufficient knowledge of the german language to fill out the questionnaire - Hemodynamic instability

Study Design


Related Conditions & MeSH terms


Intervention

Other:
Questionnaire
Questionnaire including questions about Quality of life, symptoms and general informations

Locations

Country Name City State
Austria AKH Wien Vienna

Sponsors (1)

Lead Sponsor Collaborator
Medical University of Vienna

Country where clinical trial is conducted

Austria, 

Outcome

Type Measure Description Time frame Safety issue
Primary Preferences for autonomy measured with questionnaire Potential predictors of the outcome are clinical symptoms. Additional covariables will be patient characteristics including age and gender and disease characteristics. Regression analysis will be used as the main statistical method. Descriptive statistics and graphs and inferential statistics will be used as appropriate. through study completion, an average of 1 year
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