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

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Title: Mental health systems modelling for evidence-informed service reform in Australia.
Authors: Whiteford, Harvey (AUTHOR), Bagheri, Nasser (AUTHOR), Diminic, Sandra (AUTHOR), Enticott, Joanne (AUTHOR), Gao, Caroline X. (AUTHOR), Hamilton, Matthew (AUTHOR), Hickie, Ian B (AUTHOR), Khanh-Dao Le, Long (AUTHOR), Lee, Yong Yi (AUTHOR), Long, Katrina M (AUTHOR), McGorry, Patrick (AUTHOR), Meadows, Graham (AUTHOR), Mihalopoulos, Cathrine (AUTHOR), Occhipinti, Jo-An (AUTHOR), Rock, Daniel (AUTHOR), Rosenberg, Sebastian (AUTHOR), Salvador-Carulla, Luis (AUTHOR), Skinner, Adam (AUTHOR)
Source: Australian & New Zealand Journal of Psychiatry. Nov2023, Vol. 57 Issue 11, p1417-1427. 11p.
Subjects: Mathematical models, Evidence-based medicine, Public administration, Nursing services, Medical care, Health care reform, Theory, Decision making, Mental health services, Social responsibility
Geographic Terms: Australia
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. [ABSTRACT FROM AUTHOR]
Copyright of Australian & New Zealand Journal of Psychiatry is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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DbLabel: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
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  Data: Mental health systems modelling for evidence-informed service reform in Australia.
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  Data: <searchLink fieldCode="AR" term="%22Whiteford%2C+Harvey%22">Whiteford, Harvey</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bagheri%2C+Nasser%22">Bagheri, Nasser</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Diminic%2C+Sandra%22">Diminic, Sandra</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Enticott%2C+Joanne%22">Enticott, Joanne</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Caroline+X%2E%22">Gao, Caroline X.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hamilton%2C+Matthew%22">Hamilton, Matthew</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hickie%2C+Ian+B%22">Hickie, Ian B</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Khanh-Dao+Le%2C+Long%22">Khanh-Dao Le, Long</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Yong+Yi%22">Lee, Yong Yi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Long%2C+Katrina+M%22">Long, Katrina M</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McGorry%2C+Patrick%22">McGorry, Patrick</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meadows%2C+Graham%22">Meadows, Graham</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mihalopoulos%2C+Cathrine%22">Mihalopoulos, Cathrine</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Occhipinti%2C+Jo-An%22">Occhipinti, Jo-An</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rock%2C+Daniel%22">Rock, Daniel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rosenberg%2C+Sebastian%22">Rosenberg, Sebastian</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Salvador-Carulla%2C+Luis%22">Salvador-Carulla, Luis</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Skinner%2C+Adam%22">Skinner, Adam</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Australian+%26+New+Zealand+Journal+of+Psychiatry%22">Australian & New Zealand Journal of Psychiatry</searchLink>. Nov2023, Vol. 57 Issue 11, p1417-1427. 11p.
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Australian & New Zealand Journal of Psychiatry is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=173345989
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        Value: 10.1177/00048674231172113
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        Text: English
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        Type: general
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      – SubjectFull: Mental health services
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      – SubjectFull: Australia
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