Digital psychosis monitoring system trial launches

However, signs are often missed or identified too late, and each patient’s Early Warning Signs are different, which up to now has made it difficult to design a system which can predict a relapse and open the door to time-sensitive, preventative treatment.

The remote digital data collection system designed by the research team sends regular prompts requesting the user complete a digital questionnaire at set times in the week, taking around 90 seconds to complete.

They system will also test whether data collected passively (via wearables and the Smartphone sensors), such as sleep disturbance, inactivity, social avoidance or sedentary behaviour, helps improve the predictive algorithm.

Machine learning methods will be used to detect complex high dimensional non-linear interactions to predict individual patient warning signs of relapse.

The Principal Investigator, Professor Sandra Bucci, said: “Psychosis is a common reason for contact with secondary care mental health services in the UK and a leading cause of disability worldwide.

Up to 80% of people who experience psychosis relapse within 5 years. Each relapse is associated with a higher risk of functional and clinical difficulties.

There is an urgent need to be able to efficiently predict relapse to enable timely intervention and a personalised treatment response.”

John Ainsworth, Professor of Health Informatics at The University of Manchester, said: “The system we will be developing at Manchester provides real-time and in-context patient-generated symptom data, obtained through our remote digital data collection system technology”.

Professor Bucci added: “The system has the exciting potential of providing advanced warning of the need for support and intervention. It also has the potential to give mental health teams a clearer picture of the ebb and flow of an individual’s mental health trajectory.

Our remote digital data collection system could be a crucial advance in the care of people with psychosis.”

Lynsey Bilsland, Head of Mental Health Translation at Wellcome, said: “There have been huge strides recently into improving the outcomes for patients with psychosis but we still need further research into better detection of the early warning signs. Our support recognises the potential of the CONNECT system to enable early identification of patients at risk of relapse. The insight gained could be transformative to how we manage psychosis.”

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