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

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 interv...

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Bibliographic Details
Published in:PharmacoEconomics 2024-12, Vol.42 (12), p.1301-1315
Main Authors: Crosland, Paul, Marshall, Deborah A., Hosseini, Seyed Hossein, Ho, Nicholas, Vacher, Catherine, Skinner, Adam, Nguyen, Kim-Huong, Iorfino, Frank, Rosenberg, Sebastian, Song, Yun Ju Christine, Tsiachristas, Apostolos, Tran, Kristen, Occhipinti, Jo-An, Hickie, Ian B.
Format: Article
Language:English
Subjects:
Accountability
Clinical decision making
Computer simulation
Cost analysis
Disease prevention
Funding
Health Administration
Health care expenditures
Health care policy
Health Economics
Health services
Intervention
Labor force
Leading
Leading Article
Medicine
Medicine & Public Health
Mental disorders
Mental health
Pharmacoeconomics and Health Outcomes
Productivity
Public Health
Quality of Life Research
Young adults
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Summary: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.
ISSN:1170-7690
1179-2027
1179-2027
DOI:10.1007/s40273-024-01434-3