Resources for Planners

The impact of reducing psychiatric beds on suicide rates

Peer reviewed: Yes. Authors: Atkinson, Jo-An and Page, Andrew and Skinner, Adam and Heffernan, Mark and Prodan, Ante and Hickie, Ian B. Publication: Frontiers in Psychiatry. Year: 2019 DOI: https://doi.org/10.3389/fpsyt.2019.00448 Method: A systems dynamics model was developed for Western Sydney Primary Health Network. Message: Study findings suggest that i) not all reductions to psychiatric beds will result in increases in suicide deaths; ii) a threshold appears to exist beyond which cuts are likely to adversely impact suicides; and iii) the threshold can be significantly increased by strengthening community-based mental health services capacity.

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Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review

Peer reviewed: Yes Authors: Chung, Younjin and Bagheri, Nasser and Salinas-Perez, Jose Alberto and Smurthwaite, Kayla and Walsh, Erin and Furst, MaryAnne and Rosenberg, Sebastian and Salvador-Carulla, Luis Publication: International Journal of Information Management. Year: 2020 DOI: https://doi.org/10.1016/j.ijinfomgt.2019.04.012 Method: Scoping review. Message: Visual analytics is needed for mental healthcare systems research and policy. BibTeX: @article{ChungYRole2020U, title={Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review}, author={Chung, Younjin and Bagheri, Nasser and Salinas-Perez, Jose Alberto and Smurthwaite, Kayla and Walsh, Erin and Furst, MaryAnne and Rosenberg, Sebastian and Salvador-Carulla, Luis}, journal={International Journal of Information Management}, volume={50}, pages={}, year={2020}, publisher={Elsevier BV}}

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Causal modelling for supporting planning and management of mental health services and systems: a systematic review

Peer reviewed: Yes. Authors: Almeda, Nerea and García-Alonso, Carlos R and Salinas-Pérez, José A and Gutiérrez-Colosía, Mencía R and Salvador-Carulla, Luis. Publication: International Journal of Environmental Research and Public Health. Year: 2019 DOI: https://doi.org/10.3390/ijerph16030332 Method: A systematic review the use of causal modelling (a tool for decision-making based on identifying critical variables and their causal relationships) in mental health services and systems. Message: The papers included in the review showed very different objectives and subjects of study.

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Regional planning for meaningful person-centred care in mental health: context is the signal not the noise

Peer reviewed: Yes. Authors: Rock, D and Cross, SP Publication: Epidemiology and Psychiatric Sciences Year: 2020 DOI: doi:10.1017/S2045796020000153 Method: Editorial. Message: To ensure planned and provided care is most appropriate to more than merely the ‘average’ person requires a combination of (1) relevant, local and sophisticated data planning, collection and analysis systems, (2) more detailed person-centred service planning and delivery and (3) system accountability through co-design and transparent public reporting of health system performance in a manner that is understandable, relevant, and locally applicable.

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Simulation modelling in mental health: A systematic review

Peer reviewed: Yes Authors: Long, Katrina M and Meadows, Graham N Publication: Journal of Simulation Year: 2018 DOI: https://doi.org/10.1057/s41273-017-0062-0 Method: A systematic review the use of simulation modelling in mental healthcare. Message: There were widespread and innovative applications of simulation in the areas of medical decision making and epidemiology, with health system planning and optimisation relatively underrepresented. Markov modelling was the preferred method across area and illness. However, the literature is currently undermined by a lack of coherence and evidence of implementation, and there is an ongoing issue of accessing unpublished models from healthcare and government organisations.

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A modelling tool for policy analysis to support the design of efficient and effective policy responses for complex public health problems

Peer reviewed: Yes Authors: Atkinson, Jo-An and Page, Andrew and Wells, Robert and Milat, Andrew and Wilson, Andrew Publication: Implementation Science. Year: 2015 DOI: https://doi.org/10.1186/s13012-015-0221-5 Method: Commentary. Message: There is a strong case for inclusion of systems modelling in the analytic tool kit for identifying targeted investments likely to deliver efficient, effective & equitable impacts. BibTeX: @article{AtkinsonJA2015S, title={A modelling tool for policy analysis to support the design of efficient and effective policy responses for complex public health problems}, author={Atkinson, Jo-An and Page, Andrew and Wells, Robert and Milat, Andrew and Wilson, Andrew}, journal={Implementation Science}, volume={10}, pages={26}, year={2015}, publisher={Springer Science and Business Media LLC}}

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Resources for mental health: scarcity, inequity, and inefficiency

Peer reviewed: Yes. Authors: Saxena, Shekhar and Thornicroft, Graham and Knapp, Martin and Whiteford, Harvey. Publication: The Lancet. Year: 2007 DOI: https://doi.org/10.1016/S0140-6736(07)61239-2 Method: Narrative review and discussion of the international availability of resources for mental health, including policy and infrastructure within countries, mental health services, community resources, human resources, and funding. Message: Government spending on mental health in most of the relevant countries is far lower than is needed, based on the proportionate burden of mental disorders and the availability of cost-effective and affordable interventions.

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