The ENTER study
General population recruitment and data integrity in online screening for psychosis risk
This study explores the practical challenges and opportunities of implementing clinical prediction tools in routine mental healthcare to support earlier detection and intervention.
The authors discuss the key factors that influence successful implementation, including clinical validation, usability, integration into existing healthcare systems and the importance of engaging healthcare professionals throughout the process. The study highlights that effective implementation requires more than accurate prediction models—it also depends on ensuring that digital tools are trusted, practical and accessible in real-world clinical settings.
By focusing on the translation of research into everyday practice, this work contributes to the growing field of implementation science and supports the development of scalable, evidence-based digital tools for preventive and personalised mental healthcare.