Actively Recruiting
E-Detection Tool for Emerging Mental Disorders
Led by King's College London · Updated on 2024-11-29
3000
Participants Needed
2
Research Sites
188 weeks
Total Duration
On this page
Sponsors
K
King's College London
Lead Sponsor
U
University of Glasgow
Collaborating Sponsor
AI-Summary
What this Trial Is About
Psychosis is a severe mental disorder that involves abnormal experiences and altered behaviour. Although the onset of psychosis occurs in young people, most cases will only be identified later in the course of illness. The delayed detection is the main cause of significant negative long-term outcomes. The current proposal will develop an innovative E-mental health detection tool to effectively improve the identification of young people with emerging psychosis. This tool will be implemented on digital platforms including websites, tablets and mobile phones. Young people will be asked to complete an online questionnaire and two short online-exercises and will then be invited for face-to-face assessments to further confirm whether they are experiencing an emerging psychosis. This digital approach leverages previous expertise by the research team and it is expected to provide novel avenues to enable the identification of young people with emerging psychosis.
CONDITIONS
Official Title
E-Detection Tool for Emerging Mental Disorders
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Between 12 and 35 years of age
- Able to provide informed consent
- No history of previous psychotic disorders
You will not qualify if you...
- Younger than 12 or older than 35 years
- Has an existing psychotic disorder
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 2 locations
1
Glasgow University
Glasgow, United Kingdom
Actively Recruiting
2
King's College London
London, United Kingdom, SE5 8AF
Actively Recruiting
Research Team
P
Paolo Fuasr Poli, MD PhD
CONTACT
P
Peter Uhlhaas, MD PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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