Bibliographic Details
| 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] |
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| Database: |
Psychology and Behavioral Sciences Collection |
