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Simulation modelling in mental health: A systematic review

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  • Katrina M. Long
  • G. N. Meadows

Abstract

While mental illness is one of the leading causes of international disease burden, within fifteen identified reviews of healthcare simulation only three included papers are in mental health. Here we systematically review the use of simulation modelling in mental healthcare, identifying 160 papers. There were widespread and innovative applications of simulation in the areas of medical decision making and epidemiology, with health system planning and optimisation relatively underrepresented. Markov modelling was the preferred method across area and illness. However, the literature is currently undermined by a lack of coherence and evidence of implementation, and we acknowledge an ongoing issue of accessing unpublished models from healthcare and government organisations. To advance, the field requires a shared knowledge base. We propose that this may be facilitated by the use of existing epidemiological models as the basis of modelling in all other areas.

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  • Katrina M. Long & G. N. Meadows, 2018. "Simulation modelling in mental health: A systematic review," Journal of Simulation, Taylor & Francis Journals, vol. 12(1), pages 76-85, January.
    • Handle: RePEc:taf:tjsmxx:v:12:y:2018:i:1:p:76-85
    DOI: 10.1057/s41273-017-0062-0
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    Cited by:

    1. Grace Yeeun Lee & Ian Bernard Hickie & Jo-An Occhipinti & Yun Ju Christine Song & Salvador Camacho & Adam Skinner & Kenny Lawson & Samuel J. Hockey & Adriane Martin Hilber & Louise Freebairn, 2022. "Participatory Systems Modelling for Youth Mental Health: An Evaluation Study Applying a Comprehensive Multi-Scale Framework," IJERPH, MDPI, vol. 19(7), pages 1-18, March.
    2. Mohammad Reza Davahli & Waldemar Karwowski & Redha Taiar, 2020. "A System Dynamics Simulation Applied to Healthcare: A Systematic Review," IJERPH, MDPI, vol. 17(16), pages 1-27, August.

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