https://deploy-preview-11--acumen-mh.netlify.app/ Recent content on Acumen - Alliance for Mental Health Systems Models Hugo -- gohugo.io en-us Sun, 14 May 2023 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2023/05/13/first-paper/ Sat, 13 May 2023 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2023/05/13/first-paper/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/08/28/motivation/ Sun, 28 Aug 2022 21:13:14 -0500 https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/08/28/motivation/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/07/04/smhealthcarelecture_melbourne_2020/ Sat, 04 Jul 2020 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/07/04/smhealthcarelecture_melbourne_2020/ Year: 2020 Type: Lecture. Presenters: Long, Katrina and Meadows, Graham and McDermott, Fiona and Atkison, Jo-An. Institution: Department of Psychiatry, Monash University. Topic: A high-level, simplified overview of simulation modelling in health care written and presented for healthcare professionals completing the Masters of Psychiatry at Monash University. Duration: 0 hours, 21 minutes. > https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/08/28/access_open_data/ Sun, 28 Aug 2022 21:13:14 -0500 https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/08/28/access_open_data/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2023/05/14/whitefordh2022/ Sun, 14 May 2023 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2023/05/14/whitefordh2022/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2023/02/06/salinas-perezjpatterns2023u/ Mon, 06 Feb 2023 04:44:23 +0000 https://deploy-preview-11--acumen-mh.netlify.app/blog/2023/02/06/salinas-perezjpatterns2023u/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/08/22/open-data/ Mon, 22 Aug 2022 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/08/22/open-data/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/08/22/open-code/ Mon, 22 Aug 2022 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/08/22/open-code/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/08/22/nmhpft/ Mon, 22 Aug 2022 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/08/22/nmhpft/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/08/22/youthu/ Mon, 22 Aug 2022 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/08/22/youthu/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/01/28/occhipintijsound2022s/ Fri, 28 Jan 2022 02:59:55 +0000 https://deploy-preview-11--acumen-mh.netlify.app/blog/2022/01/28/occhipintijsound2022s/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2021/11/23/zabellt2021/ Tue, 23 Nov 2021 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2021/11/23/zabellt2021/ Peer reviewed: Yes. Authors: Zabell, Thea Simone and Long, Katrina M and Scott, Debbie and Hope, Judith and McLoughlin, Ian and Enticott, Joanne. Publication: Frontiers in Health Services. Year: 2021 DOI: https://doi.org/10.3389/frhs.2021.644831 Method: A systematic review on simulation modelling studies with a health outcome which engaged stakeholders in model design. Message: There is a large gap in the current literature of formal evaluation of simulation modelling stakeholder engagement, and a lack of consensus about the processes required for effective simulation modelling stakeholder engagement. https://deploy-preview-11--acumen-mh.netlify.app/blog/2021/09/26/occhipintijmental2021s/ Sun, 26 Sep 2021 14:07:10 +0000 https://deploy-preview-11--acumen-mh.netlify.app/blog/2021/09/26/occhipintijmental2021s/ Peer reviewed: Yes Authors: Occhipinti, Jo-An and Skinner, Adam and Doraiswamy, P. Murali and Fox, Cameron and Herrman, Helen and Saxena, Shekhar and London, Elisha and Song, Yun Ju Christine and Hickie, Ian B. Publication: Nature. Year: 2021 DOI: https://doi.org/10.1038/d41586-021-02581-9 Method: Commentary. Message: Systems modelling has potential to assist global decision-makers to make proactive economic, social, public health, and health system investments to arrest the COVID pandemic’s impacts on mental health. https://deploy-preview-11--acumen-mh.netlify.app/blog/2021/08/31/skinneraregional2021q/ Tue, 31 Aug 2021 05:35:05 +0000 https://deploy-preview-11--acumen-mh.netlify.app/blog/2021/08/31/skinneraregional2021q/ Peer reviewed: Yes Authors: Skinner, Adam and Occhipinti, Jo-An and Song, Yun Ju Christine and Hickie, Ian B. Publication: BJPsych Open. Year: 2021 DOI: https://doi.org/10.1192/bjo.2021.989 Method: A systems dynamics model for 10 Primary Health Networks (PHNs) in New South Wales that serve regions that vary in terms of population size, geographic area, population density, levels of disadvantage and suicide rates. Message: There is potential for substantial variation in projected reductions in suicide mortality if implementing a standardised state-based suicide prevention strategy versus a regionally driven approach. https://deploy-preview-11--acumen-mh.netlify.app/blog/2021/05/21/occhipintij2021a/ Fri, 21 May 2021 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2021/05/21/occhipintij2021a/ Peer reviewed: Yes Authors: Occhipinti, Jo-An and Skinner, Adam and Carter, Samantha and Heath, Jacinta and Lawson, Kenny and McGill, Katherine and McClure, Rod and Hickie, Ian B. Publication: Scientific Reports. Year: 2021 DOI: https://doi.org/10.1038/s41598-021-90762-x Method: A system dynamics model of pathways between psychological distress, the mental health care system, suicidal behaviour and their drivers was developed, tested, and validated for a large, geographically diverse region of New South Wales; the Hunter New England and Central Coast Primary Health Network. https://deploy-preview-11--acumen-mh.netlify.app/blog/2021/03/12/occhipintij2021/ Fri, 12 Mar 2021 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2021/03/12/occhipintij2021/ Peer reviewed: Yes. Authors: Occhipinti, Jo-An and Skinner, Adam and Iorfino, Frank and Lawson, Kenny and Sturgess, Julie and Burgess, Warren and Davenport, Tracey and Hudson, Danica and Hickie, Ian. Publication: BMC Medicine. Year: 2021 DOI: https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-021-01935-4 Method: Using a participatory approach, and informed by a range of national, state, and local datasets, a system dynamics model was developed, tested, and validated for a regional population catchment. The model incorporated defined pathways from social determinants of mental health to psychological distress, mental health care, and suicidal behaviour. https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/11/25/atkinsonj2020/ Wed, 25 Nov 2020 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/11/25/atkinsonj2020/ Peer reviewed: Yes. Authors: Atkinson, Jo-An and Song, Yun Ju Christine and Merikangas, Kathleen R and Skinner, Adam and Prodan, Ante and Iorfino, Frank and Freebairn, Louise and Rose, Danya and Ho, Nicholas and Crouse, Jacob and Zipunnikov, Vadim and Hickie, Ian. Publication: Frontiers in Psychiatry. Year: 2020 DOI: https://doi.org/10.3389/fpsyt.2020.606035 Method: Editorial. Message: Applications of systems modeling in mental health research and practice have already demonstrated value in providing improved decision support capability and a better understanding of the different ways even “evidence-based” interventions can play out in diverse systems and settings. https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/11/02/whitefordh2020/ Mon, 02 Nov 2020 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/11/02/whitefordh2020/ Peer reviewed: Yes. Authors: Whiteford, Harvey and Diminic, Sandra. Publication: Australian and New Zealand Journal of Psychiatry Year: 2020 DOI: https://doi.org/10.1177/0004867420963723 Method: Descriptive account of the background and application of the National Mental Health Service Planning Framework. Message: Decentralised regional planning requires the application of a planning framework that sets targets for the same level of care for all Australians with equivalent needs, accounting for the specific characteristics and needs of local populations and the existing services and barriers to care. https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/06/17/atkinsonj2020b/ Wed, 17 Jun 2020 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/06/17/atkinsonj2020b/ Peer reviewed: Yes. Authors: Atkinson, Jo-An and Skinner, Adam and Hackney, Sue and Mason, Linda and Heffernan, Mark and Currier, Dianne and King, Kylie and Pirkis, Jane. Publication: Australian and New Zealand Journal of Psychiatry. Year 2020 DOI: https://doi.org/10.1177/0004867420932639 Method: A system dynamics model for the rural and remote population catchment of Western New South Wales was developed. The model was based on defined pathways to mental health care and suicidal behaviour and reproduced historic trends in the incidence of attempted suicide (self-harm hospitalisations) and suicide deaths in the region. https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/05/14/covid-sky/ Thu, 14 May 2020 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/05/14/covid-sky/ Year: 2020 Type: Webinar Presenters: Hickie, Ian and Occhipinti, Jo-An and Sturgess, Julie and Iorfino, Frank and Lawson, Kenny and Hamilton, Matthew. Institution: Brain and Mind Centre, University of Sydney Topic: An overview of a number of modelling projects to help identify appropriate policy responses to the anticipated mental health impacts of the COVID-19 pandemic. Duration: 1 hour, 12 minutes https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/05/14/whatisamhsm/ Thu, 14 May 2020 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/05/14/whatisamhsm/ A mental health systems model is a mathematical representation of the systems (economic, environmental, service, social and technical) that shape population mental health. These mathematical representations can be succinct (a brief mathematical formula) or highly detailed (complex networks of linked equations expressed as large bodies of computer code). When applied to relevant data, these models can produce insights to help planners and policy makers address a range of decision problems. https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/05/07/walshe2020/ Thu, 07 May 2020 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/05/07/walshe2020/ Peer reviewed: Yes. Authors: Walsh, Erin I and Chung, Younjin and Cherbuin, Nicolas and Salvador-Carulla, Luis. Publication: BMC Medical Research Methodology Year: 2020 DOI: https://doi.org/10.1186/s12874-020-00986-0 Method: Online survey of an international pool of policy-makers, health agency directors, and researchers with extensive and direct experience of using visual analytics tools for complex mental healthcare systems planning. Message: Preliminary findings indicated that, despite a clear need to extract information from highly complex data, experts tend to utilise visualisations that are most familiar to them, widely understood, and not necessarily the most appropriate. https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/03/24/furstm2021/ Tue, 24 Mar 2020 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2020/03/24/furstm2021/ Peer reviewed: Yes Authors: Furst, Mary Anne and Bagheri, Nasser and Salvador-Carulla, Luis} Publication: BJPsych International Year: 2020 DOI: https://doi.org/10.1192/bji.2020.24 Method: Descriptive summary of mental health ecosystems methods. Message: Mental health ecosystems research is an emerging discipline which takes a whole-systems approach to mental healthcare, facilitating analysis of the complex environment and context of mental health systems, and translation of this knowledge into policy and practice. Evidence from the local context is needed in the analysis of complex interventions and of geographic variations in the outcomes of care. https://deploy-preview-11--acumen-mh.netlify.app/blog/2019/08/20/longk2020/ Tue, 20 Aug 2019 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2019/08/20/longk2020/ Peer reviewed: Yes Authors: Long, Katrina M and McDermott, F and Meadows, Graham N Publication: Journal of the Operational Research Society Year: 2020 DOI: https://doi.org/10.1080/01605682.2019.1650624 Method: A qualitative, longitudinal case study approach, grounded in Pragmatism, complexity theory, and the critical incident approach exploring implementation of simulation modelling in healthcare. Message: Twenty-three critical incidents were identified, including changes in government policy and funding, organisational context, intervention activities, project management, and staffing. The analysis revealed a complex adaptive system, where the role of specific implementation factors changed over time, and through interaction with each other. https://deploy-preview-11--acumen-mh.netlify.app/blog/2019/07/02/atkinsonj2021/ Tue, 02 Jul 2019 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2019/07/02/atkinsonj2021/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2019/05/10/chungyrole2020u/ Fri, 10 May 2019 17:27:23 +0000 https://deploy-preview-11--acumen-mh.netlify.app/blog/2019/05/10/chungyrole2020u/ 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}} https://deploy-preview-11--acumen-mh.netlify.app/blog/2019/02/14/garc%C3%ADa-alonsoca2019u/ Thu, 14 Feb 2019 18:37:24 +0000 https://deploy-preview-11--acumen-mh.netlify.app/blog/2019/02/14/garc%C3%ADa-alonsoca2019u/ Peer reviewed: Yes Authors: García-Alonso, Carlos R. and Almeda, Nerea and Salinas-Pérez, José A. and Gutiérrez-Colosía, Mencía R. and Uriarte-Uriarte, José J. and Salvador-Carulla, Luis Publication: PLOS ONE. Year: 2019 DOI: https://doi.org/10.1371/journal.pone.0212179 Method: A Monte-Carlo simulation combined with a fuzzy inference engine was used to examine the Relative Technical Efficiency (RTE) of three proposed intervention scenarios. Message: Decision makers can use information from this approach to design new interventions and policies. https://deploy-preview-11--acumen-mh.netlify.app/blog/2019/01/25/almeda2019/ Fri, 25 Jan 2019 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2019/01/25/almeda2019/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2017/12/01/rockd2020/ Fri, 01 Dec 2017 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2017/12/01/rockd2020/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2017/12/01/longk2018/ Fri, 01 Dec 2017 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2017/12/01/longk2018/ 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. https://deploy-preview-11--acumen-mh.netlify.app/blog/2015/03/02/atkinsonja2015s/ Mon, 02 Mar 2015 04:45:45 +0000 https://deploy-preview-11--acumen-mh.netlify.app/blog/2015/03/02/atkinsonja2015s/ 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}} https://deploy-preview-11--acumen-mh.netlify.app/blog/2010/09/30/gilbertk2010/ Thu, 30 Sep 2010 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2010/09/30/gilbertk2010/ Peer reviewed: Yes Authors: Gibert, Karina and García-Alonso, Carlos and Salvador-Carulla, Luis Publication: Health research policy and systems Year: 2010 DOI: https://doi.org/10.1186/1478-4505-8-28 Method: Descriptive introduction of a new hybrid methodology Expert-based Cooperative Analysis (EbCA), which incorporates explicit prior expert knowledge in data analysis methods, and elicits implicit or tacit expert knowledge to improve decision support in healthcare systems. EbCA was compared to classical procedures using qualitative explicit prior knowledge in two case examples: 1) Bench-marking of small mental health areas based on technical efficiency estimated by EbCA-Data Envelopment Analysis (EbCA-DEA), and 2) Case-mix of schizophrenia based on functional dependency using Clustering Based on Rules (ClBR). https://deploy-preview-11--acumen-mh.netlify.app/blog/2007/12/01/saxenas2007/ Sat, 01 Dec 2007 21:29:20 +0200 https://deploy-preview-11--acumen-mh.netlify.app/blog/2007/12/01/saxenas2007/ 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. https://deploy-preview-11--acumen-mh.netlify.app/contact/ Mon, 01 Jan 0001 00:00:00 +0000 https://deploy-preview-11--acumen-mh.netlify.app/contact/ How to contact us If you would like to contact us, you can do so by post at the address provided in the side panel or by email at info@qcmhr.uq.edu.au. Please note that as we are currently an alliance sustained by the voluntary time commitments of our members we may be slow to respond to contacts. https://deploy-preview-11--acumen-mh.netlify.app/members/ Mon, 01 Jan 0001 00:00:00 +0000 https://deploy-preview-11--acumen-mh.netlify.app/members/ Acumen comprises experts in mental health modelling, service planning and policy from across Australia. Monash University Health Economics Group – Professor Cathy Mihalopoulos, Dr Yong Yi Lee, Dr Long Le and Matthew Hamilton Orygen – Professor Patrick McGorry, Vivienne Brown and Dr Caroline Gao The Queensland Centre for Mental Health Research (QCMHR) – Professor Harvey Whiteford and Dr Sandra Diminic Southern Synergy – Professor Graham Meadows, Dr Joanne Enticott and Dr Katrina Long https://deploy-preview-11--acumen-mh.netlify.app/purpose/ Mon, 01 Jan 0001 00:00:00 +0000 https://deploy-preview-11--acumen-mh.netlify.app/purpose/ Acumen aims to improve population mental health through ensuring mental health system planners have access to the highest quality decision aids and to provide policymakers with the tools to better addres the social determinants of mental ill-health. Acumen will do this by: Creating a national alliance to identify opportunities for collaboration and data sharing in mental health systems modelling; Providing a central national reference point for expert advice and best practice in evidence-based modelling for mental health policy and services; https://deploy-preview-11--acumen-mh.netlify.app/supportus/ Mon, 01 Jan 0001 00:00:00 +0000 https://deploy-preview-11--acumen-mh.netlify.app/supportus/ Currently, the work of Acumen is principally advanced through the vouluntary contribution of time and effort from Acumen members. We believe that to further develop the mental health modelling field and to improve access for mental health planners to the highest quality decision support tools will require ongoing centralised resourcing of training, data infrastructure and quality-assurance tools. We will therefore welcome approaches from potential philanthropic funders to explore how we can partner to improve mental health outcomes in Australia (see how to contact us).