A new study into the recovery of people with psychosis will use the open-source RADAR-base data platform developed by RADAR-CNS

The UNFOLD study will identify the processes involved in developing an identity as a person in recovery, and how recovery from mental ill health may ‘unfold’ over time. 

The study will also consider the uptake, experience and effectiveness of remote measurement technology for mental health. It will measure participants’ wellbeing, level of contact with social groups and satisfaction with that contact. Through repeated sampling, participants will receive regular questions on their phones. This data will be processed through the open source RADAR-base platform.

Recruitment of participants begins shortly, and data will be collected over nine months during next year.

The study is being carried out by Emilia Deakin, a PhD student at the University of Nottingham, UK. Emilia worked as an occupational therapist before beginning her research, which is funded by the NIHR Nottingham Biomedical Research Centre. The principal investigator is her co-supervisor, Professor Mike Slade.

She said: “Identity change is a component of the recovery process for people who have suffered mental ill health. By applying the social model of identity, which suggests that our social groups create our identity, to data processed in RADAR-base, I hope UNFOLD will lead to a better understanding of recovery.”

Michael Craven, Senior Research Fellow at NIHR MindTech MedTech Co-operative and Emilia’s PhD co-supervisor at the University of Nottingham, said: “Through my existing involvement in the RADAR-CNS project, I was pleased to introduce Emilia to RADAR-base. As a tool designed for regular data collection on mobile devices, we hope it will help make UNFOLD a great success. Furthermore, using the RADAR-base platform in UNFOLD promises to be an additional demonstration of its effectiveness and will provide useful information for future users.”

The RADAR-base platform was launched in April 2018 to facilitate mobile health research in a range of health and disease areas. It is already being used in an atrial fibrillation study as part of the IMI2 BigData@Heart, and in Alzheimer’s Disease in the RADAR-AD project.