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ABSTRACT: Background and aim
Suicide is a global public health issue disproportionately impacting equity-deserving groups. Recent advances in Artificial Intelligence and increased access to a variety of digital data sources have enabled the development of novel and personalized suicide prevention strategies. However, standards on how to harness these data in a comprehensive and equitable way remain unclear. The primary aim of this study is to identify considerations for the collection and use of digital health data for suicide prevention and care. The results will inform the development of a data governance framework for a multinational suicide prevention mHealth platform.Method
We used a modified Cochrane Rapid Reviews Method. Inclusion criteria focused on primary studies published
SUBMITTER: Bennett-Poynter L
PROVIDER: S-EPMC11848906 | biostudies-literature | 2025 Jan-Dec
REPOSITORIES: biostudies-literature