Incorporating Complexity and System Dynamics into Economic Modelling for Mental Health Policy and Planning

Paul Crosland (), Deborah A. Marshall, Seyed Hossein Hosseini, Nicholas Ho, Catherine Vacher, Adam Skinner, Kim-Huong Nguyen, Frank Iorfino, Sebastian Rosenberg, Yun Ju Christine Song, Apostolos Tsiachristas, Kristen Tran, Jo-An Occhipinti and Ian B. Hickie
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Paul Crosland: University of Sydney
Deborah A. Marshall: University of Calgary, Alberta Children’s Hospital Research Institute
Seyed Hossein Hosseini: University of Sydney
Nicholas Ho: University of Sydney
Catherine Vacher: University of Sydney
Adam Skinner: University of Sydney
Kim-Huong Nguyen: University of Sydney
Frank Iorfino: University of Sydney
Sebastian Rosenberg: University of Sydney
Yun Ju Christine Song: University of Sydney
Apostolos Tsiachristas: University of Oxford
Kristen Tran: University of Sydney
Jo-An Occhipinti: University of Sydney
Ian B. Hickie: University of Sydney

PharmacoEconomics, 2024, vol. 42, issue 12, No 1, 1315 pages

Abstract: Abstract Care as usual has failed to stem the tide of mental health challenges in children and young people. Transformed models of care and prevention are required, including targeting the social determinants of mental health. Robust economic evidence is crucial to guide investment towards prioritised interventions that are effective and cost-effective to optimise health outcomes and ensure value for money. Mental healthcare and prevention exhibit the characteristics of complex dynamic systems, yet dynamic simulation modelling has to date only rarely been used to conduct economic evaluation in this area. This article proposes an integrated decision-making and planning framework for mental health that includes system dynamics modelling, cost-effectiveness analysis, and participatory model-building methods, in a circular process that is constantly reviewed and updated in a ‘living model’ ecosystem. We describe a case study of this approach for mental health system policy and planning that synergises the unique attributes of a system dynamics approach within the context of economic evaluation. This kind of approach can help decision makers make the most of precious, limited resources in healthcare. The application of modelling to organise and enable better responses to the youth mental health crisis offers positive benefits for individuals and their families, as well as for taxpayers.

Date: 2024
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DOI: 10.1007/s40273-024-01434-3

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