ArticleBMC public health2020
Bringing new tools, a regional focus, resource-sensitivity, local engagement and necessary discipline to mental health policy and planning.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Participatory systems modelling to improve mental health systems in Bogotá, Colombia: stakeholders' perspectives, experiences and networks.International journal of mental health systems · 2026Article
- Conceptualising the value of simulation modelling for public engagement with policy: a critical literature review.Health research policy and systems · 2023Review
- Optimizing Strategies for Improving Mental Health in Victoria, Australia during the COVID-19 Era: A System Dynamics Modelling Study.International journal of environmental research and public health · 2022Article
- Fit for Purpose-Re-Designing Australia's Mental Health Information System.International journal of environmental research and public health · 2022Review
- Participatory Systems Modelling for Youth Mental Health: An Evaluation Study Applying a Comprehensive Multi-Scale Framework.International journal of environmental research and public health · 2022Article
- Suicide Mortality Rate as a Sustainable Development Goal (SDG): A Bibliometric Analysis.The Psychiatric quarterly · 2022Review
- Participatory Methods for Systems Modeling of Youth Mental Health: Implementation Protocol.JMIR research protocols · 2022Article
- Sound Decision Making in Uncertain Times: Can Systems Modelling Be Useful for Informing Policy and Planning for Suicide Prevention?International journal of environmental research and public health · 2022Article
- Presenting a comprehensive multi-scale evaluation framework for participatory modelling programs: A scoping review.PloS one · 2022Article
- Federal and state cooperation necessary but not sufficient for effective regional mental health systems: insights from systems modelling and simulation.Scientific reports · 2021Article
- Reducing youth suicide: systems modelling and simulation to guide targeted investments across the determinants.BMC medicine · 2021Article
- [Social Determinants of Mental Health: Public Policies Based on the Biopsychosocial Model in Latin American CountriesDeterminantes sociais da saúde mental: políticas públicas a partir do modelo biopsicossocial em países latino-americanos].Revista panamericana de salud publica = Pan American journal of public health · 2021Article
- Which Social, Economic, and Health Sector Strategies Will Deliver the Greatest Impacts for Youth Mental Health and Suicide Prevention? Protocol for an Advanced, Systems Modelling Approach.Frontiers in psychiatry · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhile reducing the burden of mental and substance use disorders is a global challenge, it is played out locally. Mental disorders have early ages of onset, syndromal complexity and high individual variability in course and response to treatment. As most locally-delivered health systems do not account for this complexity in their design, implementation, scale or evaluation they often result in disappointing impacts. DISCUSSION: In this viewpoint, we contend that the absence of an appropriate predictive planning framework is one critical reason that countries fail to make substantial progress in mental health outcomes. Addressing this missing infrastructure is vital to guide and coordinate national and regional (local) investments, to ensure limited mental health resources are put to best use, and to strengthen health systems to achieve the mental health targets of the 2015 Sustainable Development Goals. Most broad national policies over-emphasize provision of single elements of care (e.g. medicines, individual psychological therapies) and assess their population-level impact through static, linear and program logic-based evaluation. More sophisticated decision analytic approaches that can account for complexity have long been successfully used in non-health sectors and are now emerging in mental health research and practice. We argue that utilization of advanced decision support tools such as systems modelling and simulation, is now required to bring a necessary discipline to new national and local investments in transforming mental health systems.
conclusionSystems modelling and simulation delivers an interactive decision analytic tool to test mental health reform and service planning scenarios in a safe environment before implementing them in the real world. The approach drives better decision-making and can inform the scale up of effective and contextually relevant strategies to reduce the burden of mental disorder and enhance the mental wealth of nations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.