The Stroke Warning Information and Faster Treatment Study (SWIFT)


Phase 2 Results


Synopsis of the results to date in the Stroke Survivor SWIFT Study (AIMs): We have successfully completed AIM 1 with an enrollment of about 1200 stroke and TIA participants which was to develop a health literate, culturally appropriate stroke preparedness intervention. We have randomized over 600 stroke/TIA patients to intervention and 600 to usual care. To that end we have begun to analyze our data to evaluate the efficacy of the SWIFT intervention in terms of an increase in 30 day and 1 year knowledge surrounding stroke preparedness as specified in AIM 2. As part of AIM 2 we are in the process of following the participants to document stroke knowledge change and competency at 30 days and 1 year post stroke. We have had more that 1400 follow-up encounters. Our AIM 3 is to evaluate differences in time to arrival in recurrent events among those randomized to intervention versus usual care control. Indeed we have documented over 180 reported outcome events and our lost to follow-up is less than 5 %. However, we were powered to detect a change in time to arrival among an estimated 250 stroke/TIA events over 5 years with an average of 2.8 to 3 years of follow-up and our follow-up is only 1.9 years. SWIFT- stroke survivor cohort demographic: Female: 49% Male: 51%% Race/Ethnicity distribution: Black: 21% White: 30% Asian: 2% Hispanic: 47% * SWIFT Community (stroke free community members): In addition to evaluating the efficacy of the SWIFT intervention in Stroke and TIA survivors, another goal of the SWIFT proposal was to evaluate the efficacy of a Community focused intervention, targeting stroke free subjects. Our goal was to identify and enroll about 1200 stroke free participants through existing community groups, CBO's and other organizational structures. Community enrollment efforts began in January, 2009. To date, we have enrolled over 300 participants, and continue our effort to reach our goal of 1200 before September 2010. SWIFT community cohort demographic: Female: 77% Male: 23% Race/Ethnicity distribution: Black: 26.8% White: 47.6% Asian: 0.7% Hispanic: 24.1%