To introduce Acumen, members pooled their expertise to draft an article about the role of systems modelling in Australian mental health reform processes. The article provides an overview of current and previous mental health reform plans in Australia, identifies and describes different modelling approaches and the types of topics they are particularly well suited to addressing and discusses challenges and opportunities for planners and policymakers relating to the commissioning, development and use of model based tools.
There are many benefits to sharing model code and data in open access repositories. These benefits include helping to: demonstrate study reproducibility; improve model transparency; elicit feedback; identify errors; increase impact; and reduce duplication of effort across the mental health modelling field. However, there are also practical barriers to sharing model code and data in an appropriate manner. These barriers can include: concerns about data confidentiality and privacy; confusion about licensing; the need to identify appropriate storage and dissemination platforms; the time and effort required to prepare, document and curate content for public release; and lack of technical knowledge.
1. Objectives On completion of this tutorial you should be able to: Understand basic concepts relating to the Australian Mental Health Systems Models Dataverse Collection; and Have the ability to search for, download and ingest files contained in Dataverse Datasets that are linked to by the Australian Mental Health Systems Models Dataverse Collection using two alternative approaches; Using a web based interface; and Using R commands. 2. Prerequisites You can complete most of this tutorial without any specialist skills or software other than having a web-browser connected to the Internet.
Peer reviewed: Yes. Authors: Whiteford, Harvey and Bagheri, Nasser and Diminic, Sandra and Enticott, Joanne and Gao, Caroline X and Hamilton, Matthew and Hickie, Ian and Le, Long K and Lee, Yong Y and Long, Katrina M and McGorry, Patrick and Meadows, Graham and Mihalopoulos, Cathrine and Occhipinti, Jo-An and Rock, Daniel and Rosenberg, Sebastian and Salvador-Carulla, Luis and Skinner, Adam. Publication: PsyArXiv Year: 2023 DOI: https://doi.org/10.1177/00048674231172113 Method: Descriptive overview of the role of modelling in mental health policy and system design, explanation of concepts useful for understanding mental health modelling and overview of how ta new network of modellers and planners hopes to support the development of better and more useful mental health systems models.
Patterns of mental healthcare provision in rural areas: A demonstration study in Australia and Europe
Peer reviewed: Yes Authors: Salinas-Perez, Jose A. and Gutierrez-Colosia, Mencia R. and Garcia-Alonso, Carlos R. and Furst, Mary Anne and Tabatabaei-Jafari, Hossein and Kalseth, Jorid and Perkins, David and Rosen, Alan and Rock, Daniel and Salvador-Carulla, Luis Publication: Frontiers in Psychiatry. Year: 2023 DOI: https://doi.org/10.3389/fpsyt.2023.993197 Method: Mental health services in three countries were described and classified using the Description and Evaluation of Services and Directories of Long Term Care mapping tool.
To facilitate the sharing of model data by the Australian mental health modelling community, Acumen curates an open access data repository. The data repository is the Australian Mental Health Systems Models Dataverse. If you have data from a mental health modelling project that you would like to share via this repository, check out this tutorial about how to do so.
To facilitate the sharing of model code by the Australian mental health modelling community, Acumen curates an open access code repository. The code repository is the Australian Mental Health Systems Models Zenodo Community. Linked to this repository is Acumen’s GitHub organisation. Currently our GitHub organisation is just used to host the source code for this website, but over time we aim to use it to share brief code snippets that may not be appropriate for archiving in our Zenodo repository.
Purpose: To estimate need and expected demand for mental health care and the level and mix of mental health services required for a given population. Type: Tableau user interface to a needs based planning model. Release status: Production release (V4.0). Intended users: Mental health planners working in licensed organisations (typically State and Territory Government departments, Local Hospital Networks and Primary Health Networks). Who can access it?: Intended users in licensed organisations can apply to be trained on using NMHSPF-PST.
Purpose: To map measures routinely collected in youth mental health services to Quality Adjusted Life Years (QALYs). Type: R package. Release status: Development release. Development releases should be viewed as “experimental” and have yet to complete all of the verification and validation checks expected of production releases. Intended users: Mental health planners and researchers with at least basic skills in using statistical software. Users must have an up to date version of the R statistical software installed on their machine to install and use the youthu R package.
Sound Decision Making in Uncertain Times: Can Systems Modelling Be Useful for Informing Policy and Planning for Suicide Prevention?
Peer reviewed: Yes Authors: Occhipinti, Jo-An and Rose, Danya and Skinner, Adam and Rock, Daniel and Song, Yun Ju C. and Prodan, Ante and Rosenberg, Sebastian and Freebairn, Louise and Vacher, Catherine and Hickie, Ian B. Publication: International Journal of Environmental Research and Public Health. Year: 2022 DOI: https://doi.org/10.3390/ijerph19031468 Method: A systems dynamics model for Western Australia was run for multiple competing scenarios. Message: Systems models can inform robust decision making despite uncertainty about the trajectories of population mental health outcomes.