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

doi:10.1177/00048674231172113

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 journal › Review Article › Research › peer-review

6 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 language	English
Pages (from-to)	1417-1427
Number of pages	11
Journal	Australian and New Zealand Journal of Psychiatry
Volume	57
Issue number	11
DOIs	https://doi.org/10.1177/00048674231172113
Publication status	Published - Nov 2023

Keywords

mental health planning
modelling
service delivery

UN SDGs

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

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10.1177/00048674231172113

Cite this

Whiteford, H., Bagheri, N., Diminic, S., Enticott, J., Gao, C. X., Hamilton, M., Hickie, I. B., Khanh-Dao Le, L., Lee, Y. Y., Long, K. M., McGorry, P., Meadows, G., Mihalopoulos, C., Occhipinti, J. A., Rock, D., Rosenberg, S., Salvador-Carulla, L., & Skinner, A. (2023). Mental health systems modelling for evidence-informed service reform in Australia. Australian and New Zealand Journal of Psychiatry, 57(11), 1417-1427. https://doi.org/10.1177/00048674231172113

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title = "Mental health systems modelling for evidence-informed service reform in Australia",

abstract = "Australia{\textquoteright}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.",

keywords = "mental health planning, modelling, service delivery",

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

note = "Publisher Copyright: {\textcopyright} The Royal Australian and New Zealand College of Psychiatrists 2023.",

year = "2023",

month = nov,

doi = "10.1177/00048674231172113",

language = "English",

volume = "57",

pages = "1417--1427",

journal = "Australian and New Zealand Journal of Psychiatry",

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Whiteford, H, Bagheri, N, Diminic, S, Enticott, J , Gao, CX , Hamilton, M, Hickie, IB, Khanh-Dao Le, L , Lee, YY , Long, KM, McGorry, P, Meadows, G , Mihalopoulos, C, Occhipinti, JA, Rock, D, Rosenberg, S, Salvador-Carulla, L & Skinner, A 2023, 'Mental health systems modelling for evidence-informed service reform in Australia', Australian and New Zealand Journal of Psychiatry, vol. 57, no. 11, pp. 1417-1427. https://doi.org/10.1177/00048674231172113

TY - JOUR

T1 - Mental health systems modelling for evidence-informed service reform in Australia

AU - Whiteford, Harvey

AU - Bagheri, Nasser

AU - Diminic, Sandra

AU - Enticott, Joanne

AU - Gao, Caroline X.

AU - Hamilton, Matthew

AU - Hickie, Ian B.

AU - Khanh-Dao Le, Long

AU - Lee, Yong Yi

AU - Long, Katrina M.

AU - McGorry, Patrick

AU - Meadows, Graham

AU - Mihalopoulos, Cathrine

AU - Occhipinti, Jo An

AU - Rock, Daniel

AU - Rosenberg, Sebastian

AU - Salvador-Carulla, Luis

AU - Skinner, Adam

PY - 2023/11

Y1 - 2023/11

N2 - 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.

AB - 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.

KW - mental health planning

KW - modelling

KW - service delivery

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U2 - 10.1177/00048674231172113

DO - 10.1177/00048674231172113

M3 - Review Article

C2 - 37183347

AN - SCOPUS:85159380824

SN - 0004-8674

VL - 57

SP - 1417

EP - 1427

JO - Australian and New Zealand Journal of Psychiatry

JF - Australian and New Zealand Journal of Psychiatry

IS - 11

ER -

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

Abstract

Keywords

UN SDGs

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