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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

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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