The feasibility and implementation of the P Risk algorithm version 1.0

CPMS code:  53885

Lead Network: South West Central

Study 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.

The search files hosted on this website are based on the inclusion/exclusion criteria as described in the study protocol and have been built and tested with input from our GP Champion teams. Every effort is made to keep the search files  hosted here maintained and up-to-date. 

However, it is the responsibility of the Principal Investigator to review the search and make any practice specific amendments as deemed necessary*. 

Please DO NOT mail out to patients until you have confirmation and sign off ('green light') from the study team.

*You should advise the study team of any amendments you make to the search.

Disclaimer:

Please note the resources provided are designed to assist with the identification of potentially suitable patients and to appropriately code these patients if required.

These resources have been developed based on the criteria provided by the relevant study team and whilst every effort has been made to make them universally implementable they rely on read codes and the data stored in the individual practice's clinical system. These resources are intended to assist with identification but should be used in conjunction with clinical oversight and a clear understanding of the study parameters.

While we endeavor to keep the information, tools and resources provided up to date and correct, we make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability or availability with respect to the tools provided for any purpose. Any reliance you place on such information is therefore strictly at your own risk.

In no event will we be liable for any loss or damage including without limitation, indirect or consequential loss or damage, or any loss or damage whatsoever arising from loss of data or profits arising out of, or in connection with, the use of the tools provided.