REGIONAL PLANNING

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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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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Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review

Peer reviewed: Yes Authors: Chung, Younjin and Bagheri, Nasser and Salinas-Perez, Jose Alberto and Smurthwaite, Kayla and Walsh, Erin and Furst, MaryAnne and Rosenberg, Sebastian and Salvador-Carulla, Luis Publication: International Journal of Information Management. Year: 2020 DOI: https://doi.org/10.1016/j.ijinfomgt.2019.04.012 Method: Scoping review. Message: Visual analytics is needed for mental healthcare systems research and policy. BibTeX: @article{ChungYRole2020U, title={Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review}, author={Chung, Younjin and Bagheri, Nasser and Salinas-Perez, Jose Alberto and Smurthwaite, Kayla and Walsh, Erin and Furst, MaryAnne and Rosenberg, Sebastian and Salvador-Carulla, Luis}, journal={International Journal of Information Management}, volume={50}, pages={}, year={2020}, publisher={Elsevier BV}}

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A decision support system for assessing management interventions in a mental health ecosystem: The case of Bizkaia (Basque Country, Spain)

Peer reviewed: Yes Authors: García-Alonso, Carlos R. and Almeda, Nerea and Salinas-Pérez, José A. and Gutiérrez-Colosía, Mencía R. and Uriarte-Uriarte, José J. and Salvador-Carulla, Luis Publication: PLOS ONE. Year: 2019 DOI: https://doi.org/10.1371/journal.pone.0212179 Method: A Monte-Carlo simulation combined with a fuzzy inference engine was used to examine the Relative Technical Efficiency (RTE) of three proposed intervention scenarios. Message: Decision makers can use information from this approach to design new interventions and policies.

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A modelling tool for policy analysis to support the design of efficient and effective policy responses for complex public health problems

Peer reviewed: Yes Authors: Atkinson, Jo-An and Page, Andrew and Wells, Robert and Milat, Andrew and Wilson, Andrew Publication: Implementation Science. Year: 2015 DOI: https://doi.org/10.1186/s13012-015-0221-5 Method: Commentary. Message: There is a strong case for inclusion of systems modelling in the analytic tool kit for identifying targeted investments likely to deliver efficient, effective & equitable impacts. BibTeX: @article{AtkinsonJA2015S, title={A modelling tool for policy analysis to support the design of efficient and effective policy responses for complex public health problems}, author={Atkinson, Jo-An and Page, Andrew and Wells, Robert and Milat, Andrew and Wilson, Andrew}, journal={Implementation Science}, volume={10}, pages={26}, year={2015}, publisher={Springer Science and Business Media LLC}}

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