Embedding Preventive Cardiac Screening in Supermarkets: A Qualitative Study of Stakeholder Perspectives on Atrial Fibrillation Detection

Background: Atrial fibrillation (AF) often remains undetected due to its asymptomatic nature and limited screening opportunities outside clinical settings. Expanding screening beyond traditional healthcare environments is crucial for improving early detection and outcomes. This study explores the feasibility and acceptability of supermarket-based AF screening from the perspectives of pharmacists and store managers involved in the initiative. Methods: A qualitative study was conducted using semi-structured interviews with pharmacists (n=4), pharmacy technicians (n=4), and store managers (n=7) from four supermarket-based pharmacies in the United Kingdom. Data were analysed using Braun and Clarke’s thematic analysis framework to identify key themes and patterns. Findings: Three key themes were identified: (1) Perceptions of involvement – Participants supported the initiative as an extension of pharmacists’ preventive healthcare role and a civic contribution by supermarkets. (2) Operational successes and challenges – Effective communication facilitated success, but logistical issues such as environmental noise, inconsistent staff communication, and lack of training in pulse assessment were highlighted. (3) Implementation considerations – Suggestions included automating follow-up processes, providing structured training for pharmacists, and ensuring free access to maintain health equity and engagement. Conclusions: Supermarket-based AF screening was viewed as feasible and valuable, with minimal disruption to store operations and positive engagement from staff and customers. Addressing logistical barriers and strengthening pharmacist training are critical for broader implementation. The findings highlight the potential for supermarkets to serve as community health hubs, increasing public access to cardiovascular screening and contributing to early detection and management of chronic conditions. Expanding such models could reduce healthcare inequities and improve population-level health outcomes.