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

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

Research output: Contribution to journalReview articlepeer-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.

Original languageEnglish
Pages (from-to)1417-1427
Number of pages11
JournalAustralian and New Zealand Journal of Psychiatry
Volume57
Issue number11
Early online date14 May 2023
DOIs
Publication statusPublished - Nov 2023

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