Please note, this study is no longer open to recruitment.
Information for clinicians working in the Early Intervention Teams (EIT)
Psychosis is difficult to predict because many of the early signs are non-specific. We have therefore developed a risk algorithm, called P Risk, to help GPs detect the early warning signs of psychosis. The P Risk algorithm uses predictors which are stored in the electronic medical records of patients, such as previous consultations for other non-psychotic mental health conditions such as depression and anxiety and problems sleeping are used, along with sociodemographic variables such as age, sex and ethnicity, to make a risk prediction. The aim is that this risk prediction can be used, along with clinical decision making, to decide whether to refer the patient for a psychosis assessment in secondary care.
Whilst we know that the P Risk algorithm works well statistically, we do not yet know if it will work in a real-life clinical situation. Therefore, we would like to interview GPs, mental health staff and patients and carers to seek their views and opinions about the P Risk. We would be very grateful if you would consider taking part in this study.
If you decide to participate, we will ask you to take part in a 30-minute interview with a study researcher. The interview will be conducted on a virtual meeting platform, such as Teams or Zoom. We aim to interview around six EI clinicians. Interviews will explore your views of the P-risk prediction tool, how GPs should communicate results to patients and practitioners, what referral thresholds should be, what might hinder and facilitate the use of P Risk in practice and how patients identified as being at risk should be managed and supported. EI teams will be reimbursed for each of their clinicians interviewed.
For further information about taking part, please read the EI information sheet.