ABSTRACT Aim This perspective proposes evidence‐informed strategies to advance health literacy equity for migrant domestic workers (MDWs) globally, integrating research findings and outlining nursing‐led policy directions for sustainable change. Background MDWs face language barriers, precarious employment conditions, social isolation, and systemic discrimination that restrict healthcare access and preventive care. Digital exclusion further limits their ability to navigate health information and services effectively. Sources of Evidence The analysis synthesizes evidence from scoping reviews, mixed‐methods and quasi‐experimental intervention studies, chronic disease health literacy surveys, artificial intelligence guidance literature, and qualitative research on MDWs’ technology use and peer health information‐sharing practices. Discussion Mobile health applications, culturally tailored social media campaigns, and AI‐powered chatbots can deliver accessible health education when co‐designed with MDWs and supported by community health workers. Critical policy actions include bridging the digital divide, embedding health literacy in orientation programs, guaranteeing paid medical leave, ensuring professional interpretation, and establishing accountability mechanisms. Conclusion Digitally supported interventions grounded in culturally responsive approaches can reduce health literacy disparities among MDWs. Sustainable impact requires coordinated cross‐sector collaboration spanning health, labor, education, and technology sectors. Implications for Nursing Practice Nurses should lead participatory co‐design of digital health tools with MDWs, adopt universal health literacy precautions, and integrate teach‐back methods and visual aids into routine clinical practice. Implications for Nursing Policy Policy frameworks must mandate health literacy standards, establish language access requirements, allocate resources for multilingual materials and professional interpretation services, support digital inclusion initiatives, and integrate MDW health literacy indicators into routine monitoring systems.
Cheong et al. (2026) studied this question.