Data Collection at CRHTTs – Oxleas NHS Foundation Trust – NCCMH

The CRHTTs at this trust have managed to establish a method of data collection that is effective and engenders a positive culture around collecting outcomes for all those involved in the process. The outcomes measures that the teams use apply to all clinical diagnoses (and to people without any diagnosis) and are focused on psychological and social functioning and experience:

Co-Production

  • From start: No
  • During process: Yes
  • In evaluation: No

Evaluation

  • Peer: Yes
  • Academic: No
  • PP Collaborative: No

Find out more

The CRHTTs at this trust have managed to establish a method of data collection that is effective and engenders a positive culture around collecting outcomes for all those involved in the process. The outcomes measures that the teams use apply to all clinical diagnoses (and to people without any diagnosis) and are focused on psychological and social functioning and experience:

  • a clinical scale (CORE-10) for people to describe their mental health state
  • a social scale (Camberwell Assessment of Need, Short Appraisal Schedule – CANSAS) to find out about individuals’ employment, relationships, education, childcare, finances, accommodation and other social aspects potentially influencing their presentation and engagement with crisis services, their wellbeing and recovery
  • an experience measure.

These tools have been digitalised, which enables the teams to use them on their electronic tablets in any environment. Digitising the outcomes measures, and their ‘pan-diagnostic’ nature, means that a person’s record of recovery can be taken with them to different mental health services and the history of these records can be accessed and reviewed by the person and their care professionals. Collecting data in this way means that the service can easily monitor people’s recovery and experiences of care both individually and collectively. The service can use the collected data to look at patterns of care provision to address any problems with service design and delivery of care.

The trust has also ensured that the principles behind data collection are emphasised to people completing the outcomes measures as well as the staff administering the tools, including how outcomes measures are used to personalise and improve their care, as well as enhancing the service for others. The trust found that most people were very happy to complete these measures because they felt more involved in their own care and felt that they were being better understood.

After digitising outcomes measures and ensuring consistent data collection, the service has seen:

  • an improvement in people’s involvement and understanding of their own care
  • increased staff positivity about people’s care and workload, and greater reflection on what works for people and their needs
  • further growth and development of the service based on collected feedback.
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