This research redefines digital health literacy for an AI-driven world, emphasizing the alignment between users and technology. Using a Delphi method, it identifies three core components—knowledge, skills, and context. The resulting framework guides the design of digital health tools that better support behavior change by adapting to users’ real-world needs.

Digital health expanded during COVID-19, but many services exclude people seeking support for alcohol and drug use. This research uses inclusive design, interviews, and workshops with people with lived experience to identify barriers, reduce stigma, improve usability, and guide industry toward creating accessible, equitable digital care for all.