Skip to content

The feasibility and implementation of the Psychosis Risk Prediction Algorithm

The feasibility and implementation of a Psychosis Risk Prediction Algorithm (P Risk) for use in primary care

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ISRCTN
Registry ID
ISRCTN14087654
Enrollment
1064068
Registered
2024-01-03
Start date
2023-03-16
Completion date
Unknown
Last updated
2026-03-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Early Identification of people at risk of psychosis in Primary Care Services Mental and Behavioural Disorders

Interventions

This is a multi-centre observational study. The study aims to: i) demonstrate whether P Risk can be implemented in primary care data systems
ii) investigate the accuracy of P Risk using real-world primary care data systems
and iii) investigate the acceptability of P Risk to practitioners, patients, and carers. Study design: Work package 1: Conversion of the P Risk statistical algorithm into a code that is compatible wi

Sponsors

University of Bristol
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Work package 1: 1. GP practices which use EMIS clinical records software 2. All GP practices in the Bristol, North Somerset and South Gloucestershire CCG (BNSSGCCG) region use EMIS software Work package 3: GP practices which use EMIS clinical records software. Work package 4: 1. GPs from BNSSG and the London area 2. Clinicians from the Early Intervention Services within Avon and Wiltshire NHS Foundation Trust and the London area, who provide assessments for people at risk of psychosis 3. Patients who consulted their GP within the last six months for non-psychotic mental health problems 4. Patients' carers

Exclusion criteria

Exclusion criteria: Work package 1: There are no participant exclusion criteria Work package 3: Any patient with an existing coded diagnosis of psychosis either in primary or secondary care EHRs or any recorded prescription for anti-psychotic medication at a dosage appropriate for psychosis Work package 4: Inability to provide informed consent

Design outcomes

Primary

MeasureTime frame
1. Coded incident diagnosis of First Episode Psychosis (FEP) or an At-Risk Mental State (ARMS) recorded in primary and/or secondary care EHRs measured using medical records at one timepoint 2. Patients' and clinicians' views on the acceptability and potential value and implications of using P Risk in general practice measured using interviews with GPs and focus groups/individuals at one timepoint

Secondary

MeasureTime frame
1. Whether the P Risk threshold for high, medium or low is optimal 2. Calibration in two subsamples of patients measured using a coded diagnosis of psychosis at one time point: 2.1. Afro-Caribbean ethnicity 2.2 Older women (50-65 years of age)), where there is evidence that they are at increased risk

Countries

England, United Kingdom

Contacts

Public ContactSarah Sullivan
sarah.sullivan@bristol.ac.uk+44 (0)117 331 0074

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Mar 20, 2026