Complexity Theory

Mental health: build predictive models to steer policy

By Admin in RESOURCES FOR MODELLERS, RESOURCES FOR PLANNERS, PUBLICATIONS (MENTAL HEALTH POLICY), PUBLICATIONS (MODELLING METHODS)

September 26, 2021

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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The science of complex systems is needed to ameliorate the impacts of COVID-19 on mental health

By Admin in Publications (Modelling Methods), Publications (Mental Health Policy), Resources for Modellers, Resources for Planners

November 25, 2020

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.

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Factors affecting the implementation of simulation modelling in healthcare: A longitudinal case study evaluation

By Admin in Publications (Modelling Methods), Resources for Modellers, Resources for Planners

August 20, 2019

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.

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