The Mental Health Clustering Tool for people with severe intellectual disability

Abstract

Aims and method: We assessed 92% (117/127) of the patients in our community mental health learning disability team using the Mental Health Clustering Tool (MHCT) to establish whether their needs could be captured sufficiently well to enable assignment to a care cluster for payment by results in mental health.We explored the characteristics of those assigned to Cluster 0 to identify how they differed from those who could be assigned to Clusters 1-21. Results: As expected, nearly half of the case-load (48%) could not be assigned to any cluster except Cluster 0, the variance cluster, which is used when the needs of patients cannot be captured by the current 21 care clusters but a service is, or will be, provided. Clinical implications: The MHCT in its current form does not adequately capture the needs of people with more severe intellectual disability. An integrated mental health and learning disability clustering tool is in development. This is expected to include new rating scales and new clusters, however until the development is completed and validated it will not be possible to implement payment by results in mental health in learning disability services. Declaration of interest: None.