People diagnosed with personality disorder present a longstanding challenge in the development and delivery of effective healthcare services. However, clinical outcomes are poorly understood and treatments have yet to be personalised.
The Kings Fund (2008) estimates healthcare costs of personality disorder (PD) of £1.1 billion by 2026, 50% higher than 2007. There is also the emotional cost between clinicians and service users, often described as 'difficult patients', with few effective treatments requiring highly specialist training.
This study explores how advanced modelling with routine clinical data can identify areas of difficulty in the treatment pathway, to improve opportunities and optimise treatments. This will help patients better understand available treatments, and help clinicians decide optimal care pathways. Clinicians, service users and policy makers can benefit from the application of advanced modelling to routine data.
Our analysis could reduce costs associated with PD treatments, especially in primary to secondary care transition; improve service users lives; and optimise use of specialist clinicians’ time. Findings will be shared with clinicians and stakeholders so evidence for best practice(s) can be highlighted, and limitations of current pathways identified.