With a growing number of people seeking treatment for mental health problems, mental health services are consequently coming under increased pressure resulting in longer waiting times and worsening of mental health problems. Service underfunding, overworked staff, and the looming threat of further demand due to the COVID-19 pandemic only add to the concerns. Hence it is imperative the efficiencies of these services are maximised to allow better access to quality treatment. We created a Discrete Event Simulation model to replicate the current clinical approach taken in an adult psychology clinic in the U.K.'s National Health Service. The model identifies bottlenecks in the service, and provides results on how different staffing scenarios could alleviate challenges.

No abstract