Resources for Planners

Using systems modelling for evidence-informed mental health reform in Australia.

To introduce Acumen, members pooled their expertise to draft an article about the role of systems modelling in Australian mental health reform processes. The article provides an overview of current and previous mental health reform plans in Australia, identifies and describes different modelling approaches and the types of topics they are particularly well suited to addressing and discusses challenges and opportunities for planners and policymakers relating to the commissioning, development and use of model based tools.

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Simulation modelling in health care lecture.

Year: 2020 Type: Lecture. Presenters: Long, Katrina and Meadows, Graham and McDermott, Fiona and Atkison, Jo-An. Institution: Department of Psychiatry, Monash University. Topic: A high-level, simplified overview of simulation modelling in health care written and presented for healthcare professionals completing the Masters of Psychiatry at Monash University. Duration: 0 hours, 21 minutes. >

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Mental health systems modelling for evidence-informed service reform in Australia

Peer reviewed: Yes. Authors: Whiteford, Harvey and Bagheri, Nasser and Diminic, Sandra and Enticott, Joanne and Gao, Caroline X and Hamilton, Matthew and Hickie, Ian and Le, Long K and Lee, Yong Y and Long, Katrina M and McGorry, Patrick and Meadows, Graham and Mihalopoulos, Cathrine and Occhipinti, Jo-An and Rock, Daniel and Rosenberg, Sebastian and Salvador-Carulla, Luis and Skinner, Adam. Publication: PsyArXiv Year: 2023 DOI: https://doi.org/10.1177/00048674231172113 Method: Descriptive overview of the role of modelling in mental health policy and system design, explanation of concepts useful for understanding mental health modelling and overview of how ta new network of modellers and planners hopes to support the development of better and more useful mental health systems models.

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Patterns of mental healthcare provision in rural areas: A demonstration study in Australia and Europe

Peer reviewed: Yes Authors: Salinas-Perez, Jose A. and Gutierrez-Colosia, Mencia R. and Garcia-Alonso, Carlos R. and Furst, Mary Anne and Tabatabaei-Jafari, Hossein and Kalseth, Jorid and Perkins, David and Rosen, Alan and Rock, Daniel and Salvador-Carulla, Luis Publication: Frontiers in Psychiatry. Year: 2023 DOI: https://doi.org/10.3389/fpsyt.2023.993197 Method: Mental health services in three countries were described and classified using the Description and Evaluation of Services and Directories of Long Term Care mapping tool.

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National Mental Health Service Planning Framework - Planning Support Tool

Purpose: To estimate need and expected demand for mental health care and the level and mix of mental health services required for a given population. Type: Tableau user interface to a needs based planning model. Release status: Production release (V4.0). Intended users: Mental health planners working in licensed organisations (typically State and Territory Government departments, Local Hospital Networks and Primary Health Networks). Who can access it?: Intended users in licensed organisations can apply to be trained on using NMHSPF-PST.

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youthu - Youth Outcomes To Health Utility

Purpose: To map measures routinely collected in youth mental health services to Quality Adjusted Life Years (QALYs). Type: R package. Release status: Development release. Development releases should be viewed as “experimental” and have yet to complete all of the verification and validation checks expected of production releases. Intended users: Mental health planners and researchers with at least basic skills in using statistical software. Users must have an up to date version of the R statistical software installed on their machine to install and use the youthu R package.

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Sound Decision Making in Uncertain Times: Can Systems Modelling Be Useful for Informing Policy and Planning for Suicide Prevention?

Peer reviewed: Yes Authors: Occhipinti, Jo-An and Rose, Danya and Skinner, Adam and Rock, Daniel and Song, Yun Ju C. and Prodan, Ante and Rosenberg, Sebastian and Freebairn, Louise and Vacher, Catherine and Hickie, Ian B. Publication: International Journal of Environmental Research and Public Health. Year: 2022 DOI: https://doi.org/10.3390/ijerph19031468 Method: A systems dynamics model for Western Australia was run for multiple competing scenarios. Message: Systems models can inform robust decision making despite uncertainty about the trajectories of population mental health outcomes.

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Engaging Healthcare Staff and Stakeholders in Healthcare Simulation Modelling for Research Translation: A Systematic Review

Peer reviewed: Yes. Authors: Zabell, Thea Simone and Long, Katrina M and Scott, Debbie and Hope, Judith and McLoughlin, Ian and Enticott, Joanne. Publication: Frontiers in Health Services. Year: 2021 DOI: https://doi.org/10.3389/frhs.2021.644831 Method: A systematic review on simulation modelling studies with a health outcome which engaged stakeholders in model design. Message: There is a large gap in the current literature of formal evaluation of simulation modelling stakeholder engagement, and a lack of consensus about the processes required for effective simulation modelling stakeholder engagement.

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Mental health: build predictive models to steer policy

Peer reviewed: Yes Authors: Occhipinti, Jo-An and Skinner, Adam and Doraiswamy, P. Murali and Fox, Cameron and Herrman, Helen and Saxena, Shekhar and London, Elisha and Song, Yun Ju Christine and Hickie, Ian B. Publication: Nature. Year: 2021 DOI: https://doi.org/10.1038/d41586-021-02581-9 Method: Commentary. Message: Systems modelling has potential to assist global decision-makers to make proactive economic, social, public health, and health system investments to arrest the COVID pandemic’s impacts on mental health.

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Regional suicide prevention planning: a dynamic simulation modelling analysis

Peer reviewed: Yes Authors: Skinner, Adam and Occhipinti, Jo-An and Song, Yun Ju Christine and Hickie, Ian B. Publication: BJPsych Open. Year: 2021 DOI: https://doi.org/10.1192/bjo.2021.989 Method: A systems dynamics model for 10 Primary Health Networks (PHNs) in New South Wales that serve regions that vary in terms of population size, geographic area, population density, levels of disadvantage and suicide rates. Message: There is potential for substantial variation in projected reductions in suicide mortality if implementing a standardised state-based suicide prevention strategy versus a regionally driven approach.

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