Project HEAL (Health through Early Awareness and Learning) is an evidence-based intervention rooted in health behavior change theory and aiming to increase cancer awareness and early detection through African American faith-based organizations. This study explored the potential for broader scale-up and dissemination of Project HEAL through the team's participation in a training program called Speeding Research-tested INTerventions (SPRINT). The SPRINT training was framed using tools from the Business Model Canvas and the Value Proposition Canvas to guide trainees in designing (1) compelling value propositions, (2) a minimal viable product, and (3) questions to gain critical insight from various stakeholders during a process called Customer Discovery. We report on our experiences in the SPRINT training and insights on intervention scale-up that we gained from the training, including key findings from 41 discovery interviews conducted with various stakeholders of the church ecosystem. We learned several valuable lessons from the discovery interviews, including the realization that scale-up will likely be more incremental than immediate. Additional refinement will be needed to scale up the intervention for “real world” application, including making our technology more user-friendly and including additional health topics beyond cancer. The SPRINT training helped our team consider broader scale-up and dissemination in a constituent-informed way. We discuss how insights from the training helped to refine our plans for future intervention scale-up.

Citation Format: Laundette P. Jones, Jimmie L. Slade, Felicia Davenport, Sherie Lou Z. Santos, Cheryl L. Holt. Planning for scale-up of an evidence-based intervention in community settings: Project HEAL insights from the SPRINT Initiative [abstract]. In: Proceedings of the Eleventh AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2018 Nov 2-5; New Orleans, LA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl):Abstract nr A024.