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

Harvey A. Whiteford, Nasser Bagheri, Sandra Diminic, Joanne Enticott, Caroline Gao, Matthew Hamilton, Ian B. Hickie, Long Khanh-Dao Le, Yong Yi Lee, Katrina M Long, Patrick D. McGorry, Graham Meadows, Cathrine Mihalopoulos, Jo-An Occhipinti, Daniel Rock, Sebastian Rosenberg, Luis Salvador-Carulla, Adam Skinner

    Research output: Contribution to journalArticlepeer-review

    4 Citations (Scopus)

    Abstract

    Australia’s Fifth National Mental Health Plan required governments to report, not only on the progress of changes to mental health service delivery, but to also plan for services that should be provided. Future population demand for treatment and care is challenging to predict and one solution involves modelling the uncertain demands on the system. Modelling can help decision-makers understand likely future changes in mental health service demand and more intelligently choose appropriate responses. It can also support greater scrutiny, accountability and transparency of these processes. Australia has an emerging national capacity for systems modelling in mental health which can enhance the next phase of mental health reform. This paper introduces concepts useful for understanding mental health modelling and identifies where modelling approaches can support health service planners to make evidence-informed decisions regarding planning and investment for the Australian population. © The Royal Australian and New Zealand College of Psychiatrists 2023.
    Original languageEnglish
    Pages (from-to)1417-1427
    Number of pages11
    JournalAustralian New Zealand Journal of Psychiatry
    Volume57
    Issue number11
    DOIs
    Publication statusPublished - 14 May 2023

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