The feasibility and implementation of the P Risk algorithm version 1.0
Research type
Research Study
Full title
The feasibility and implementation of a psychosis risk prediction algorithm (P Risk) for use in primary care.
IRAS ID
315320
Contact name
Sarah Sullivan
Contact email
Sponsor organisation
University of Bristol
Clinicaltrials.gov Identifier
22/NW/0289 , NW Manchester East REC
Duration of Study in the UK
1 years, 1 months, 29 days
Research summary
Psychosis is a serious, long-lasting mental illness. Symptoms include hallucinations and strange, fixed thoughts, called delusions. Treating psychosis costs the NHS about £2 billion per year. Psychosis can be devastating for sufferers and their families and outcomes are often poor with many people becoming ill again after recovery. The best way to improve outcomes is to ensure that people who are at risk of psychosis receive specialist care quickly. Most people enter specialist mental health care via their GP, but GPs report difficulties in detecting the warning signs of psychosis. Also, people do not always see the same GP when they visit their surgery and so small changes in their mental health can be missed. The research team used a very large data set of GP records, provided by the Clinical Research Practice Datalink and held at the University of Bristol, to teach the computer to spot who is likely to develop psychosis. We have called this tool P risk. We already know that P Risk is accurate and can predict who will get psychosis about 80% of the time. However, we do not yet know if it will work in the real world on GP computers, or what patients, their families, GPs and mental health staff think about it. We need this information before P Risk can be used in GP surgeries.
In this study we will: WP 1 Demonstrate that P Risk can be implemented in primary care data systems. WP 2 Collect baseline values of the outcome WP3 investigate the accuracy of P Risk and WP4 investigate the acceptability of P Risk.REC name
North West - Greater Manchester East Research Ethics Committee
REC reference
22/NW/0289
Date of REC Opinion
3 Oct 2022
REC opinion
Favourable Opinion