Understanding and Informing Community Emergency Cardiovascular Disease Preparedness during the COVID-19 Pandemic: Stroke Ready

Abstract

IntroductionAcute stroke and acute myocardial infarction (AMI) treatments are time sensitive. Early data revealed a decrease in presentation and an increase in pre-hospital delay for acute stroke and AMI during the coronavirus disease 2019 (COVID-19) pandemic. Thus, we set out to understand community members’ perception of seeking acute stroke and AMI care during the COVID-19 pandemic to inform strategies to increase cardiovascular disease preparedness during the pandemic. MethodsGiven the urgency of the clinical and public health situation, through a community-based participatory research partnership, we utilized a rapid assessment approach. We developed an interview guide and data collection form guided by the Theory of Planned Behavior (TPB). Semi-structured interviews were recorded and conducted via phone and data was collected on structured collection forms and real time transcription. Direct content analysis was conducted guided by the TPB model and responses for AMI and stroke were compared. ResultsWe performed 15 semi-structured interviews. Eighty percent of participants were Black Americans; median age was 50; 73% were women. Participants reported concerns about coronavirus transmission in the ambulance and at the hospital, hospital capacity and ability to triage, and quality of care. Change in employment and childcare also impacted participants reported control over seeking emergent cardiovascular care. Based on these findings, our community and academic team co-created online materials to address the community-identified barriers, which has reached over 8,600 users and engaged almost 600 users. ConclusionsWe found that community members’ attitudes and perceived behavioral control to seek emergent cardiovascular care were impacted by the COVID-19 pandemic. Community-informed, health behavior theory-based public health messaging that address these constructs may decrease prehospital delay.