Depression Clinical Trial
Official title:
Real-world Evaluation of a Recommender System for Mental Health Self-management
Mental health concerns are a growing global concern, but support can still be difficult to access. Digital health technologies can help people access support, but with over 10,000 mental health apps available, it can be difficult to choose one that is safe, effective, and personalised. Syndi is a digital health platform that uses a machine learning system to provide personalised recommendations of mental health apps. This study aims to examine the impact of Syndi and its recommendations on the mental health and well-being of people with mental health concerns. The investigators will use the standard National Health Service (NHS) Talking Therapies measures of anxiety and depression, as well as additional measures of wellbeing and functional impairment to look at the impact of Syndi on patients' mental well-being. The investigators will also look at user experience with Syndi using a survey. Users' engagement with Syndi and its recommended apps will be assessed using a short survey and some participants will be randomly selected for an interview so the investigators can get a better understanding of what people liked and disliked about using the platform and why. The investigators expect that the project will show that using Syndi helps improve mental well-being in people with mental health concerns. If the study shows this positive impact, this will provide evidence to support the use of Syndi to improve the accessibility of mental health support in clinical pathways. The investigators will publish the results of the study in academic journals as well as in more accessible platforms.
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