- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05670197
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)
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.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Emily Eisner, PhD
- Phone Number: 0161 306 0430
- Email: emily.eisner@manchester.ac.uk
Study Contact Backup
- Name: Sandra Bucci, ClinPsyD
- Email: sandra.bucci@manchester.ac.uk
Study Locations
-
-
-
Brighton, United Kingdom
- Recruiting
- University of Sussex
-
Contact:
- Evelin Vogel
- Email: evelin.vogel@spft.nhs.uk
-
Cardiff, United Kingdom
- Not yet recruiting
- Cardiff University
-
Contact:
- James Walters
-
Edinburgh, United Kingdom
- Recruiting
- University of Edinburgh
-
Contact:
- Laura Maclean
- Email: laura.maclean@ed.ac.uk
-
Glasgow, United Kingdom
- Recruiting
- University of Glasgow
-
Contact:
- Kathryn O'Hare
- Email: kathryn.ohare@glasgow.ac.uk
-
London, United Kingdom
- Not yet recruiting
- King's College London
-
Contact:
- Til Wykes
-
-
Greater Manchester
-
Manchester, Greater Manchester, United Kingdom, M13 9PL
- Recruiting
- University of Manchester
-
Contact:
- Emily Eisner, PhD
- Phone Number: 0161 276 0430
- Email: emily.eisner@manchester.ac.uk
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
SERVICE USER PARTICIPANTS
Inclusion Criteria:
- 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
Exclusion Criteria:
- Not sufficiently stable to take part in an interview
- Not sufficiently fluent in English to take part in an interview
STAFF PARTICIPANTS
Inclusion Criteria:
- Work within an adult NHS service providing mental health support to people who experience psychosis / severe mental health problems
- Ability to give informed consent
Exclusion Criteria:
- Not sufficiently fluent in English to take part in an interview
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Cross-Sectional
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Service users
Service users with experience of schizophrenia spectrum psychosis
|
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.
|
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
|
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.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Service user and staff views on complex digital remote monitoring
Time Frame: one hour
|
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 Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Demographics
Time Frame: one hour
|
Demographic questionnaire asking standard questions about participants' demographic characteristics - e.g.
age, gender, employment status.
|
one hour
|
Collaborators and Investigators
Collaborators
Investigators
- Study Chair: Sandra Bucci, ClinPsyD, University of Manchester
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- NHS001961
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
We will obtain opt in consent from participants to share their data with other researchers for secondary analysis in future related research studies. Participants will be fully informed of this before consenting. The de-identified dataset will be stored on a secure server at the University of Manchester for up to 20 years and then destroyed.
Researchers wishing to use the data for secondary analysis will be required to make a formal request to the study publication committee and chief investigator, including a statement of the specific research question they wish to address. In all cases, access will be given at the CI and publication committee's discretion. Approved researchers will be furnished with the de-identified dataset by the CI (or delegated individual). Files will be securely transferred to the approved researcher, who will sign a written agreement stating that they will not share the dataset with others.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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