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

Author

Listed:
  • Paul Crosland

    (University of Sydney
    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
    Global Brain Health Institute, Trinity College Dublin
    The University of Queensland)

  • Frank Iorfino

    (University of Sydney)

  • Sebastian Rosenberg

    (University of Sydney
    University of Canberra)

  • Yun Ju Christine Song

    (University of Sydney)

  • Apostolos Tsiachristas

    (University of Oxford
    University of Oxford)

  • Kristen Tran

    (University of Sydney)

  • Jo-An Occhipinti

    (University of Sydney)

  • Ian B. Hickie

    (University of Sydney)

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.

Suggested Citation

  • 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 & Apostolo, 2024. "Incorporating Complexity and System Dynamics into Economic Modelling for Mental Health Policy and Planning," PharmacoEconomics, Springer, vol. 42(12), pages 1301-1315, December.
    • Handle: RePEc:spr:pharme:v:42:y:2024:i:12:d:10.1007_s40273-024-01434-3
    DOI: 10.1007/s40273-024-01434-3
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    References listed on IDEAS

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    1. Claire Oliveira & Makeila Saka & Lauren Bone & Rowena Jacobs, 2023. "The Role of Mental Health on Workplace Productivity: A Critical Review of the Literature," Applied Health Economics and Health Policy, Springer, vol. 21(2), pages 167-193, March.
    2. Alan Brennan & Stephen E. Chick & Ruth Davies, 2006. "A taxonomy of model structures for economic evaluation of health technologies," Health Economics, John Wiley & Sons, Ltd., vol. 15(12), pages 1295-1310, December.
    3. Penny R. Breeze & Hazel Squires & Kate Ennis & Petra Meier & Kate Hayes & Nik Lomax & Alan Shiell & Frank Kee & Frank de Vocht & Martin O’Flaherty & Nigel Gilbert & Robin Purshouse & Stewart Robinson , 2023. "Guidance on the use of complex systems models for economic evaluations of public health interventions," Health Economics, John Wiley & Sons, Ltd., vol. 32(7), pages 1603-1625, July.
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