The framework is able to quantify demand, service capacities and costs across all care pathways for a range of different scenarios. The use of the developed framework is illustrated by parametrising it with published clinical data and local service level data from Wales, UK. The two simulation paradigms within the framework are connected to run synchronously to investigate the impact of depression progression on healthcare services and, conversely, how any limitations in access to services may impact clinical progression.
This paper presents a hybrid simulation modeling framework that is uniquely able to capture both disease progression, using Agent Based Modeling, and related care pathways, using a System Dynamics.
Considering both pathways and progression for depression are however rarely studied together in the literature. Clinical progression with depression can be equally complex and relates to whether or not a patient is seeking care, the care pathway they are on, and the ability for timely access to healthcare services. Care pathways for depression are complex and the demand across different parts of the healthcare system is often uncertain and not entirely understood.
Depression is a common mental health condition that affects millions of people worldwide.
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