Researchers highlight the need for more reliable methods to predict risk of relapse into depression
At least half of patients recovering from depression will experience a relapse, but there are currently no evidence-based tools to help GPs or other healthcare professionals to identify those at high risk.
A team of researchers are therefore calling for more reliable methods for predicting which patients areat high risk of relapsing into depression following a period of recovery.
The team,including researchers from Keele University s School of Medicine,the University of York, and the Hull York Medical School carried out a Cochrane review of all available evidence which aimed to develop prediction tools. The work was funded by a National Institute of Health Research (NIHR) Doctoral Research Fellowship, held by lead author Dr Andrew Moriarty from the University of York.