Measuring complexity and quantity of community caseloads
evidence and practice    

Measuring complexity and quantity of community caseloads

Krisztian Korasz Specialty doctor, Oxleas NHS Foundation Trust, London, England
Maggie Miller Head of nursing in Bexley, Oxleas NHS Foundation Trust, London, England
Philip Steadman Consultant psychiatrist, Oxleas NHS Foundation Trust, London, England
Munyaradzi Mangundu Locality manager, Oxleas NHS Foundation Trust, London, England
Joan Omosola-Ladenegan Team manager, Oxleas NHS Foundation Trust, London, England

The caseloads of members of community mental health teams are growing in size and complexity due to an increased emphasis on community-based care.

This article describes a complex quality improvement project consisting of a series of group meetings and workshops over a period of six months. The authors outline the rationale and development of the project, the philosophy and values that underlie it, the processes and strategies adopted, and the activities they and the team engaged in.

They developed a multifunctional caseload weighting tool to facilitate the referral process, case allocation, equalising caseloads, caseload management and discharge planning of mental health service users in a London borough. The tool also includes a ‘step up’ function that enables service users who develop worsening mental health to be allocated to a care coordinator.

This quality improvement project can be used as a model for other community mental health teams that want to improve the management of their caseloads.

Mental Health Practice. doi: 10.7748/mhp.2018.e1278

Citation

Korasz K, Miller M, Steadman P et al (2018) Measuring complexity and quantity of community caseloads. Mental Health Practice. doi: 10.7748/mhp.2018.e1278

Peer review

This article has been subject to external double-blind peer review and has been checked for plagiarism using automated software

Correspondence

krisztian.korasz@nhs.net

Conflict of interest

None declared

Published online: 30 August 2018

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