Study type

Study topic

Disease /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Drug utilisation

Data collection methods

Primary data collection
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Name of medicine

PRADAXA

Medical condition to be studied

Atrial fibrillation
Population studied

Short description of the study population

Patients aged 18 years and older with non-valvular atrial fibrillation (AF) in South East Asia South Korea (SEASK) with a current Vitamin K Antagonist (VKA) therapy and subsequent initiation of Pradaxa® (Cohort A) OR patients being newly diagnosed with AF and initiated on Pradaxa® or VKA (Cohort B).

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Special population of interest

Other

Special population of interest, other

Atrial fibrillation patients

Estimated number of subjects

1385
Study design details

Main study objective

Describe the atrial fibrillation patient´s treatment perception by using the PACT-Q at three time-points at baseline, during initiation period and during the continuation period.

Outcomes

Primary outcomeFor Cohort A (switcher):- Mean PACT-Q2 scores at second and last assessment compared tobaseline assessmentFor Cohort B (newly initiated):- Mean PACT-Q2 scores at second and last assessment between treatment groups, Secondary outcome:For Cohort A (switcher):- Mean PACT-Q2 score at last assessment compared to second assessmentFor Cohort B (newly initiated):- Description of PACT-Q1 items at baseline

Data analysis plan

Baseline data will be analyzed using a descriptive approach. Data from the longitudinal follow-up will be summarized descriptively. For Cohort A, mean differences in PACT-Q2 scores between assessments will be assessed using paired t-tests. For Cohort B, mean differences in PACT-Q2 scores between Pradaxa® and VKA patients will be assessed using propensity score matched analysis.Due to the nature of this non-interventional study, there is no (confirmatory) hypothesis testing foreseen in a strict statistical sense. Analyses are descriptive in nature and confidence intervals and p-values from statistical models are used for exploratory purposes.