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.
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.
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.
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.
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.
Peer reviewed: Yes. Authors: Atkinson, Jo-An and Song, Yun Ju Christine and Merikangas, Kathleen R and Skinner, Adam and Prodan, Ante and Iorfino, Frank and Freebairn, Louise and Rose, Danya and Ho, Nicholas and Crouse, Jacob and Zipunnikov, Vadim and Hickie, Ian. Publication: Frontiers in Psychiatry. Year: 2020 DOI: https://doi.org/10.3389/fpsyt.2020.606035 Method: Editorial. Message: Applications of systems modeling in mental health research and practice have already demonstrated value in providing improved decision support capability and a better understanding of the different ways even “evidence-based” interventions can play out in diverse systems and settings.
The National Mental Health Service Planning Framework: Where has it come from and what is its future?
Peer reviewed: Yes. Authors: Whiteford, Harvey and Diminic, Sandra. Publication: Australian and New Zealand Journal of Psychiatry Year: 2020 DOI: https://doi.org/10.1177/0004867420963723 Method: Descriptive account of the background and application of the National Mental Health Service Planning Framework. Message: Decentralised regional planning requires the application of a planning framework that sets targets for the same level of care for all Australians with equivalent needs, accounting for the specific characteristics and needs of local populations and the existing services and barriers to care.
Experts’ perceptions on the use of visual analytics for complex mental healthcare planning: an exploratory study
Peer reviewed: Yes. Authors: Walsh, Erin I and Chung, Younjin and Cherbuin, Nicolas and Salvador-Carulla, Luis. Publication: BMC Medical Research Methodology Year: 2020 DOI: https://doi.org/10.1186/s12874-020-00986-0 Method: Online survey of an international pool of policy-makers, health agency directors, and researchers with extensive and direct experience of using visual analytics tools for complex mental healthcare systems planning. Message: Preliminary findings indicated that, despite a clear need to extract information from highly complex data, experts tend to utilise visualisations that are most familiar to them, widely understood, and not necessarily the most appropriate.
Peer reviewed: Yes Authors: Furst, Mary Anne and Bagheri, Nasser and Salvador-Carulla, Luis} Publication: BJPsych International Year: 2020 DOI: https://doi.org/10.1192/bji.2020.24 Method: Descriptive summary of mental health ecosystems methods. Message: Mental health ecosystems research is an emerging discipline which takes a whole-systems approach to mental healthcare, facilitating analysis of the complex environment and context of mental health systems, and translation of this knowledge into policy and practice. Evidence from the local context is needed in the analysis of complex interventions and of geographic variations in the outcomes of care.
Factors affecting the implementation of simulation modelling in healthcare: A longitudinal case study evaluation
Peer reviewed: Yes Authors: Long, Katrina M and McDermott, F and Meadows, Graham N Publication: Journal of the Operational Research Society Year: 2020 DOI: https://doi.org/10.1080/01605682.2019.1650624 Method: A qualitative, longitudinal case study approach, grounded in Pragmatism, complexity theory, and the critical incident approach exploring implementation of simulation modelling in healthcare. Message: Twenty-three critical incidents were identified, including changes in government policy and funding, organisational context, intervention activities, project management, and staffing. The analysis revealed a complex adaptive system, where the role of specific implementation factors changed over time, and through interaction with each other.