The study, which is the largest controlled trial of its kind, involved data from more than 2,000 mental health patients treated across multiple NHS Trusts in England.
PCMIS developed Outcome Feedback technology in partnership with an international team of researchers from UK, German and Dutch Universities, led by Dr Jaime Delgadillo.
Outcome Feedback uses patient feedback to rapidly identify patients at risk of deterioration by tracking their symptoms and monitoring their response to treatment.
The team behind the technology have now received a grant from the Wellcome Trust to implement Outcome Feedback across NHS IAPT services, with the aim of improving the quality of psychological care. The grant will enable PCMIS and partners to develop an e-learning programme to train NHS therapists to use the technology effectively.
Dr Delgadillo, who conducted the research study while at the Department of Health Sciences, University of York.
The technology uses data from weekly patient questionnaires which measure the frequency and intensity of typical depression and anxiety symptoms; such as lethargy, low mood, disrupted sleep cycle, loss of appetite, restlessness, constant worry and difficulty relaxing.
The therapist enters this information into PCMIS, which plots a graph showing changes in the patient's level of symptoms from week to week.
PCMIS searches for other patients with similar symptoms to assess if the current patient is responding to treatment in a typical way, flagging up 'atypical' cases that are not on track. Therapists can then intervene and adapt their treatment plans, while continuing to track the patient's progress using the feedback technology.
PCMIS have received a grant from the Wellcome Trust to implement Outcome Feedback across NHS IAPT services, with the aim of improving the quality of psychological care. To support this an e-learning programme is currently in development, to train NHS therapists to use the technology effectively.