Relapse Evaluation using Smartphone Technology (REST)
Research type
Research Study
Full title
Relapse Evaluation using Smartphone Technology (REST): A feasibility study of predicting relapse using digital phenotyping
IRAS ID
245218
Contact name
Alisa Anokhina
Contact email
Sponsor organisation
University College London
Clinicaltrials.gov Identifier
Z6364106/2018/06/146 , UCL Data Protection Registration
Duration of Study in the UK
2 years, 0 months, 1 days
Research summary
The purpose of this study is to evaluate the feasibility of using a smartphone health application to detect relapse in people with severe mental illness (SMI). This is done by passively recording physical movement, swiping patterns, and social meta-data which will translate into giving a picture of mood, cognition and behavioural markers.
The first aim is to demonstrate the acceptability of the app (Discovery by Mindstrong) for UK patients treated in a community context and the percentage of patients presenting to services who have the motivation, physical resources and mental capacity to participate in the programme. Secondly, to demonstrate that data from smartphones can be linked into NHS Electronic Health Records. Thirdly, to develop a better understanding of how the application can be used to differentiate stable mental states from those which are indicative of imminent relapse. Finally, we intend to perform an initial test of the hypothesis that the data could act as an early warning sign for patient relapse in crisis teams or indeed another part of the service.
In this study, particular attention will be paid to how Crisis Resolution and home Treatment teams (CRTs) are deployed in the context of relapse. Relapse will be defined as: admission to CRTs, crisis houses, day hospitals or inpatient wards within 12-months of joining the study. Patients will be recruited from the Camden & Islington NHS Foundation Trust, North East London NHS Foundation Trust, Cambridgeshire and Peterborough NHS Foundation Trust and Barnet, Enfield & Haringey Mental Health Trust. The goal of the smartphone application is to develop predictive models that can be used alongside standard care to reduce the time it takes to receive the appropriate level of care when symptoms first appear.
REC name
London - Dulwich Research Ethics Committee
REC reference
18/LO/2031
Date of REC Opinion
12 Mar 2019
REC opinion
Further Information Favourable Opinion