Service User and Staff Views on Digital Remote Monitoring for Psychosis
A Qualitative Study of Service User and Staff Views on Digital Remote Monitoring for Unusual Distressing Experiences (psychosis)
1 other identifier
observational
118
1 country
6
Brief Summary
Psychosis is a severe mental health problem. Symptoms of psychosis include hallucinations (e.g. hearing voices that others cannot hear) and delusions (unusual, often troubling beliefs). People who experience psychosis often have times when their symptoms are relatively stable. At other times, their symptoms may increase and become much more problematic (a 'relapse'). Helping people with psychosis to stay well (preventing relapses) is an important and time-consuming challenge for mental health services. Smartphones and other digital technologies are now widespread. This offers a solution to help tackle the overwhelming demand on services and to enable people with psychosis to access mental health support when they need it most (e.g. when relapsing). Research shows that people with psychosis are often willing to report their symptoms using a smartphone app. Apps like this can alert health professionals when someone needs extra support, but can be burdensome to use long-term. The investigators want to make a system that is less burdensome and is personalised to users' needs and experiences (a 'complex digital remote monitoring system'). Recent research shows that information gathered routinely by individuals' smartphones (e.g. GPS, step count) might help predict relapses of psychosis. The investigators want to use this method in a complex digital remote monitoring system. First, the investigators need to know what people with psychosis and mental health staff think about this idea. The investigators will interview around sixty adults with psychosis and around forty staff, recruited from UK mental health services (Manchester, Glasgow, Edinburgh, Cardiff, London, Sussex). These one-off, audio-recorded interviews will last up to 60 minutes. The interviewer will ask about participants' views on complex digital remote monitoring. The investigators will then systematically analyse the interviews. Findings will inform the design of the investigators' own complex digital remote monitoring system and future digital tools designed by other researchers. NIHR and Wellcome are funding this study.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Nov 2022
6 active sites
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Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 12, 2022
CompletedStudy Start
First participant enrolled
November 1, 2022
CompletedFirst Posted
Study publicly available on registry
January 4, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 30, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
January 30, 2024
CompletedNovember 13, 2024
February 1, 2024
1.2 years
September 12, 2022
November 11, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Service user and staff views on complex digital remote monitoring
Qualitative interviews will explore service users' and mental health staff members' views about using smartphones or wearable devices to manage mental health. In particular, we will seek their views about the use of 'complex digital remote monitoring' systems\*. The interview will follow a detailed topic guide. \*Complex digital remote monitoring systems in this context include a combination of active symptom monitoring, passive sensing technology, contextual data (GPS location/accelerometer) and/or machine learning algorithms.
one hour
Secondary Outcomes (1)
Demographics
one hour
Study Arms (2)
Service users
Service users with experience of schizophrenia spectrum psychosis
Mental health staff
Mental health staff who work within an adult NHS service providing mental health support to people who experience schizophrenia spectrum psychosis / severe mental health problems
Interventions
No intervention. Participants will take part in a one-off, audio-recorded qualitative interview, lasting up to 60 minutes. The interviewer will ask about participants' views on complex digital remote monitoring.
Eligibility Criteria
Participants are drawn from two populations: people with lived experience of schizophrenia spectrum psychosis who are in contact with secondary care mental health services and mental health staff who work in such services. Participants from both groups will be recruited from secondary care mental health services in six geographical locations: Manchester, Glasgow, Edinburgh, Cardiff, Sussex and London.
You may qualify if:
- Clinical diagnosis of schizophrenia spectrum disorder (ICD10 F20-29) OR meets the early Intervention for Psychosis Service entry criteria, operationally defined using the Positive and Negative Syndrome Scale (PANSS) and/or the psychosis transition criteria of the Comprehensive Assessment of At-Risk Mental States (CAARMS).
- In contact with mental health services
- Over 16 years of age
- Ability to give informed consent
You may not qualify if:
- Not sufficiently stable to take part in an interview
- Not sufficiently fluent in English to take part in an interview
- STAFF PARTICIPANTS
- Work within an adult NHS service providing mental health support to people who experience psychosis / severe mental health problems
- Ability to give informed consent
- \- Not sufficiently fluent in English to take part in an interview
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Manchester Academic Health Science Centrelead
- University of Glasgowcollaborator
- University of Edinburghcollaborator
- King's College Londoncollaborator
- Cardiff Universitycollaborator
- University of Sussexcollaborator
Study Sites (6)
University of Manchester
Manchester, Greater Manchester, M13 9PL, United Kingdom
University of Sussex
Brighton, United Kingdom
Cardiff University
Cardiff, United Kingdom
University of Edinburgh
Edinburgh, United Kingdom
University of Glasgow
Glasgow, United Kingdom
King's College London
London, United Kingdom
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Sandra Bucci, ClinPsyD
University of Manchester
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor Sandra Bucci
Study Record Dates
First Submitted
September 12, 2022
First Posted
January 4, 2023
Study Start
November 1, 2022
Primary Completion
January 30, 2024
Study Completion
January 30, 2024
Last Updated
November 13, 2024
Record last verified: 2024-02