PsychosisENTERNCT05127278
E-Detection Tool for Emerging Mental Disorders
An observational study of Psychosis, run by King's College London at 2 sites in United Kingdom.
Trial summary
Psychosis is a severe mental disorder that involves abnormal experiences and altered behaviour. Although the onset of psychosis occurs in young people, most cases will only be identified later in the course of illness. The delayed detection is the main cause of significant negative long-term outcomes. Read more about this study
- Who is it for?
- Ages 12 to 35 yearsHealthy volunteers can take part
- Conditions the study is for
- Psychosis
- How many people
- 3,000 participants
- Where
- 2 sitesUnited Kingdom
- Study dates
- 20 Apr 2022to Dec 2025
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 12 to 35 years
- All sexes
- Healthy volunteers accepted
- Child, Adult
Study population: General Popualtion
Who may be able to join
- 12-35 years of age
- Informed consent
- Absence of previous psychotic disorders
Who cannot join
- <12 or >35 years of age
- An existing psychotic disorder
Trial locations and contacts
2 sites in 1 country. Contact the study team or a site near you to ask about taking part.
Peter Uhlhaas, MD PhD contact
United Kingdom2 sites, 2 recruiting
- Recruiting
Glasgow University
Glasgow
Peter Uhlhaas, Peter.Uhlhaas@glasgow.ac.uk
- Recruiting
King's College London
London, SE5 8AF
Paolo Fuasr Poli, paolo.fusar-poli@gmail.com
About this study
Psychosis is a severe mental disorder that involves abnormal experiences and altered behaviour. Although the onset of psychosis occurs in young people, most cases will only be identified later in the course of illness. The delayed detection is the main cause of significant negative long-term outcomes.
The current proposal will develop an innovative E-mental health detection tool to effectively improve the identification of young people with emerging psychosis. This tool will be implemented on digital platforms including websites, tablets and mobile phones. Young people will be asked to complete an online questionnaire and two short online-exercises and will then be invited for face-to-face assessments to further confirm whether they are experiencing an emerging psychosis. This digital approach leverages previous expertise by the research team and it is expected to provide novel avenues to enable the identification of young people with emerging psychosis.
Read the detailed description
The current proposal will develop an innovative E-DetectioN Tool for Emerging Mental DisoRders (ENTER). This tool will be implemented on a website and the Investigators will invite participants to the site via email-invitations, flyers as well as through advertisements on social media as in previous work byt he team. ENTER will be tested in young people who are experiencing potentially an emerging psychosis, specifically who may meet At Risk Mental State (ARMS) or First Episode Psychosis criteria. The proposed digital approach leverages previous expertise by the research team, and it is expected to provide novel avenues to enable the identification of young people with emerging psychosis. This will ultimately improve the mental health and the life of many young people.
The refined digital screening will enhance previous approaches by incorporating novel features beyond the standard PQ-16 questionnaire, which encompass three overarching domains:
Firstly the Investigators will assess robust epidemiologically-based environmental risk and protective factors that are predicting the onset of psychotic disorders. Some of these factors have already demonstrated prognostic utility, as highlighted by previous work in this area. The selection of these factors has been informed by robust evidence-based synthesis. Digital assessment of exposure to these factors is collected through a Polyrisk Prognostic Score (PPS). This self-rated questionnaire has previously shown to be feasible and non-distressing for young people, discriminating ARMS individuals from healthy. Since most of these factors have been shown to accumulate in ARMS participants, the Investigators expect that the addition of these environmental risk and protective factors will increase the prognostic accuracy of the tool.
Secondly, the Investigators will measure the frequent subthreshold features which characterise emerging psychotic disorders in terms of bipolar risk. To do so the Investigators will employ self-assessment tools that have recently been validated for young people such as the self-rated Bipolar Prodrome Symptom Scale for patients (BPPS-FP) - a brief self-report measure used to assess symptoms of the prodrome to bipolar disorder in order to screen and identify people for whom further evaluation is indicated.
Thirdly, the Investigators will build on recent evidence indicating that cognitive deficits and speech analysis can be used to better identify emerging psychosis. Impaired performance processing speed is one of the most robust indicators of cognitive impairment in psychosis and predicts transition to psychosis in ARMS populations. The Investigators therefore plan to use the self-rated digit symbol task (DST) to assess speed of processing. Moreover, subtle language abnormalities, such as in semantic features and syntactic complexity, can predict outcomes in ARMS populations. To test this the Investigators plan to acquire speech samples in response to Thematic Apperception Test (TAT) to assess speech anomalies.
ENTER will represent a new integrated, comprehensive, scalable, first-in-class e-detection tool that can be implemented in the community. This is particularly important as only 5% of FEP cases are detected through conventional detection strategies that mostly focus on mental health services. Following the validation of ENTER, the Investigators plan that the resulting tool will be implemented on phones and tablets to allow for testing of emerging psychosis in clinical and non-clinical settings.
- Conditions
- Psychosis
- Keywords
- Ultra High Risk for Psychosis, Clinical High Rish for Psychosis, At Risk Mental State
- Medical subject headings
- Psychotic Disorders
What is being measured
The primary outcome is the main question the study is designed to answer.
Validation of online Screener
Validate self report online screener for psychosis by verification with gold standard
Measured: 2 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted19 Nov 2021
- Study start20 Apr 2022
- Primary completionDec 2025 (estimated)
- Study completionDec 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for PsychosisStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Ecologic or community
- Time perspective
- Prospective
- Enrolment
- 3,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- King's College London
- Sponsor type
- University, hospital or other
- Collaborators
- University of Glasgow
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05127278
- Sponsor's protocol ID
- 885
- Other IDs
- 215793/Z/19/Z
- Acronym
- ENTER
- Status last verified
- Nov 2024
- First submitted
- 9 Nov 2021
- Last updated
- 29 Nov 2024
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 29 Nov 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- E-Detection Tool for Emerging Mental Disorders
- ClinicalTrials.gov ID
- NCT05127278
- Acronym / sponsor ID
- ENTER / 885
- Conditions
- Psychosis
- Keywords
- Ultra High Risk for Psychosis, Clinical High Rish for Psychosis, At Risk Mental State
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 3,000 participants (estimated)
- Lead sponsor
- King's College LondonUniversity, hospital or other
- Collaborators
- University of Glasgow
- Study start
- 20 Apr 2022 (actual)
- Primary completion
- Dec 2025 (estimated)
- Study completion
- Dec 2025 (estimated)
- First posted
- 19 Nov 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Psychosis is a severe mental disorder that involves abnormal experiences and altered behaviour. Although the onset of psychosis occurs in young people, most cases will only be identified later in the course of illness. The delayed detection is the main cause of significant negative long-term outcomes.
The current proposal will develop an innovative E-mental health detection tool to effectively improve the identification of young people with emerging psychosis. This tool will be implemented on digital platforms including websites, tablets and mobile phones. Young people will be asked to complete an online questionnaire and two short online-exercises and will then be invited for face-to-face assessments to further confirm whether they are experiencing an emerging psychosis. This digital approach leverages previous expertise by the research team and it is expected to provide novel avenues to enable the identification of young people with emerging psychosis.
Detailed description
The current proposal will develop an innovative E-DetectioN Tool for Emerging Mental DisoRders (ENTER). This tool will be implemented on a website and the Investigators will invite participants to the site via email-invitations, flyers as well as through advertisements on social media as in previous work byt he team. ENTER will be tested in young people who are experiencing potentially an emerging psychosis, specifically who may meet At Risk Mental State (ARMS) or First Episode Psychosis criteria. The proposed digital approach leverages previous expertise by the research team, and it is expected to provide novel avenues to enable the identification of young people with emerging psychosis. This will ultimately improve the mental health and the life of many young people.
The refined digital screening will enhance previous approaches by incorporating novel features beyond the standard PQ-16 questionnaire, which encompass three overarching domains:
Firstly the Investigators will assess robust epidemiologically-based environmental risk and protective factors that are predicting the onset of psychotic disorders. Some of these factors have already demonstrated prognostic utility, as highlighted by previous work in this area. The selection of these factors has been informed by robust evidence-based synthesis. Digital assessment of exposure to these factors is collected through a Polyrisk Prognostic Score (PPS). This self-rated questionnaire has previously shown to be feasible and non-distressing for young people, discriminating ARMS individuals from healthy. Since most of these factors have been shown to accumulate in ARMS participants, the Investigators expect that the addition of these environmental risk and protective factors will increase the prognostic accuracy of the tool.
Secondly, the Investigators will measure the frequent subthreshold features which characterise emerging psychotic disorders in terms of bipolar risk. To do so the Investigators will employ self-assessment tools that have recently been validated for young people such as the self-rated Bipolar Prodrome Symptom Scale for patients (BPPS-FP) - a brief self-report measure used to assess symptoms of the prodrome to bipolar disorder in order to screen and identify people for whom further evaluation is indicated.
Thirdly, the Investigators will build on recent evidence indicating that cognitive deficits and speech analysis can be used to better identify emerging psychosis. Impaired performance processing speed is one of the most robust indicators of cognitive impairment in psychosis and predicts transition to psychosis in ARMS populations. The Investigators therefore plan to use the self-rated digit symbol task (DST) to assess speed of processing. Moreover, subtle language abnormalities, such as in semantic features and syntactic complexity, can predict outcomes in ARMS populations. To test this the Investigators plan to acquire speech samples in response to Thematic Apperception Test (TAT) to assess speech anomalies.
ENTER will represent a new integrated, comprehensive, scalable, first-in-class e-detection tool that can be implemented in the community. This is particularly important as only 5% of FEP cases are detected through conventional detection strategies that mostly focus on mental health services. Following the validation of ENTER, the Investigators plan that the resulting tool will be implemented on phones and tablets to allow for testing of emerging psychosis in clinical and non-clinical settings.
Study design
- Observational model
- Ecologic or community
- Time perspective
- Prospective
Who may qualify
- Ages
- 12 to 35 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult
- Study population
- General Popualtion
Key inclusion criteria (3 listed)
- 12-35 years of age
- Informed consent
- Absence of previous psychotic disorders
Key exclusion criteria (2 listed)
- <12 or >35 years of age
- An existing psychotic disorder
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Validation of online Screener
Time frame: 2 years
Validate self report online screener for psychosis by verification with gold standard
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 29 Nov 2024.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Peter Uhlhaas, MD PhD contact
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Psychosis, run by King's College London at 2 sites in United Kingdom.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 29 Nov 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in United Kingdom. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Paolo Fuasr Poli, MD PhD (+442078480900, paolo.fusar-poli@kcl.ac.uk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Validation of online Screener (time frame: 2 years). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 29 Nov 2024.