Diabetes mellitus is a significant global health challenge, requiring innovative strategies to improve management and mitigate complications. Digital health technologies offer promising solutions to enhance diabetes self-care by providing real-time feedback, improving communication and supporting data-driven decision-making. Despite the increasing adoption of digital self-care interventions, there is a lack of comprehensive synthesis of evidence on their impact, accessibility and integration into healthcare systems. This scoping review aims to map existing research on digital self-care solutions for diabetes management, identify knowledge gaps and highlight best practices and key factors influencing adoption.

The review will follow Arksey and O’Malley’s framework and adhere to Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines. A systematic search will be conducted in Medline, Scopus, Embase, CINAHL and Google Scholar, focusing on studies published from January 2004 to December 2024 in English, French, Arabic, Portuguese, Spanish, Italian, Czech, Slovak and Chinese. Studies reporting on digital self-care solutions for diabetes management will be included, covering experimental and quasi-experimental study designs. Data extraction will cover study and participant characteristics, digital solution features, and barriers and facilitators to adoption. Ethical and equity considerations will also be analysed using established frameworks. Two reviewers will independently screen studies, with discrepancies resolved by a third reviewer.

This scoping review will provide a comprehensive understanding of digital self-care solutions for diabetes management, offering insights to inform future research and enhance self-care practices globally. Findings will be disseminated through peer-reviewed publications, conferences and interest holder engagements to inform clinical practice and policy development. As this study involves the review of existing literature, ethical approval is not required.