To map the current evidence on digital mental health interventions for suicide prevention include assessment, monitoring, and intervention. The scoping review was conducted following the Arksey and O’Malley framework refined by Levac, with reporting according to PRISMA-ScR. A literature search was conducted in Scopus, PubMed, and CINAHL. The PCC criteria were used for study selection. Eligible articles were extracted using a standardized form and synthesized descriptively thematically without risk of bias assessment. Identified designs included quantitative observational studies, randomized controlled trials and pilot trials, prospective longitudinal studies, qualitative studies, and comparative or descriptive analyses. We found 12 articles included. Digital assessments through web-based screening and computerized tools improve risk detection and connect with services. Real-time monitoring based on ecological momentary assessment, mobile sensing, and machine learning models can predict daily risk fluctuations, although external validation and translation of signals into clinical decisions are limited. Digital and telehealth interventions have been shown to improve depressive symptoms, increase readiness to seek help, and improve service efficiency, particularly in resource-constrained settings. Key challenges include user engagement and retention, privacy protection, algorithmic transparency, and limited long-term evidence of meaningful clinical outcomes. Digital interventions have the potential to be an integral component of suicide prevention through a complementary value chain from identification to treatment. Maximizing impact requires integration into clinical workflows, structured human support, robust data governance, and financing policies and infrastructure that support hybrid care models.
Yosep et al. (Wed,) studied this question.