Bi-stability and critical transitions in mental health care systems: a model-based analysis

Adam Skinner; Jo-An Occhipinti; Ante Prodan; Yun Ju Christine Song; Ian B Hickie

doi:10.1186/s13033-023-00573-y

Bi-stability and critical transitions in mental health care systems: a model-based analysis

Int J Ment Health Syst. 2023 Mar 24;17(1):5. doi: 10.1186/s13033-023-00573-y.

Authors

Adam Skinner¹, Jo-An Occhipinti^{2

3}, Ante Prodan^{3

4}, Yun Ju Christine Song², Ian B Hickie²

Affiliations

¹ Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia. adam.skinner@sydney.edu.au.
² Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
³ Computer Simulation and Advanced Research Technologies (CSART), Sydney, Australia.
⁴ School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, Australia.

Abstract

Background: Delayed initiation and early discontinuation of treatment due to limited availability and accessibility of services may often result in people with mild or moderate mental disorders developing more severe disorders, leading to an increase in demand for specialised care that would be expected to further restrict service availability and accessibility (due to increased waiting times, higher out-of-pocket costs, etc.).

Methods: We developed a simple system dynamics model of the interaction of specialised services capacity and disease progression to examine the impact of service availability and accessibility on the effectiveness and efficiency of mental health care systems.

Results: Model analysis indicates that, under certain conditions, increasing services capacity can precipitate an abrupt, step-like transition from a state of persistently high unmet need for specialised services to an alternative, stable state in which people presenting for care receive immediate and effective treatment. This qualitative shift in services system functioning results from a 'virtuous cycle' in which increasing treatment-dependent recovery among patients with mild to moderate disorders reduces the number of severely ill patients requiring intensive and/or prolonged treatment, effectively 'releasing' services capacity that can be used to further reduce the disease progression rate. We present an empirical case study of tertiary-level child and adolescent mental health services in the Australian state of South Australia demonstrating that the conditions under which such critical transitions can occur apply in real-world services systems.

Conclusions: Policy and planning decisions aimed at increasing specialised services capacity have the potential to dramatically increase the effectiveness and efficiency of mental health care systems, promoting long-term sustainability and resilience in the face of future threats to population mental health (e.g., economic crises, natural disasters, global pandemics).

Keywords: Australia; Bifurcation; Disease progression; Mental health services; Nonlinear dynamics; System dynamics.