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      Knowledge mobilisation for policy development: implementing systems approaches through participatory dynamic simulation modelling

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          Abstract

          Background

          Evidence-based decision-making is an important foundation for health policy and service planning decisions, yet there remain challenges in ensuring that the many forms of available evidence are considered when decisions are being made. Mobilising knowledge for policy and practice is an emergent process, and one that is highly relational, often messy and profoundly context dependent. Systems approaches, such as dynamic simulation modelling can be used to examine both complex health issues and the context in which they are embedded, and to develop decision support tools.

          Objective

          This paper reports on the novel use of participatory simulation modelling as a knowledge mobilisation tool in Australian real-world policy settings. We describe how this approach combined systems science methodology and some of the core elements of knowledge mobilisation best practice. We describe the strategies adopted in three case studies to address both technical and socio-political issues, and compile the experiential lessons derived. Finally, we consider the implications of these knowledge mobilisation case studies and provide evidence for the feasibility of this approach in policy development settings.

          Conclusion

          Participatory dynamic simulation modelling builds on contemporary knowledge mobilisation approaches for health stakeholders to collaborate and explore policy and health service scenarios for priority public health topics. The participatory methods place the decision-maker at the centre of the process and embed deliberative methods and co-production of knowledge. The simulation models function as health policy and programme dynamic decision support tools that integrate diverse forms of evidence, including research evidence, expert knowledge and localised contextual information. Further research is underway to determine the impact of these methods on health service decision-making.

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          Most cited references55

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          Modelling with stakeholders☆

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            Making research relevant: if it is an evidence-based practice, where's the practice-based evidence?

            L Green (2008)
            The usual search for explanations and solutions for the research-practice gap tends to analyze ways to communicate evidence-based practice guidelines to practitioners more efficiently and effectively from the end of a scientific pipeline. This examination of the pipeline looks upstream for ways in which the research itself is rendered increasingly irrelevant to the circumstances of practice by the process of vetting the research before it can qualify for inclusion in systematic reviews and the practice guidelines derived from them. It suggests a 'fallacy of the pipeline' implicit in one-way conceptualizations of translation, dissemination and delivery of research to practitioners. Secondly, it identifies a 'fallacy of the empty vessel' implicit in the assumptions underlying common characterizations of the practitioner as a recipient of evidence-based guidelines. Remedies are proposed that put emphasis on participatory approaches and more practice-based production of the research and more attention to external validity in the peer review, funding, publication and systematic reviews of research in producing evidence-based guidelines.
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              Is Open Access

              How Can We Support the Use of Systematic Reviews in Policymaking?

              John Lavis (2009)
              John Lavis discusses how health policymakers and their stakeholders need research evidence, and the best ways evidence can be synthesized and packaged to optimize its use.
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                Author and article information

                Contributors
                louise.freebairn@act.gov.au
                lucie.rychetnik@nd.edu.au
                Jo-An.Atkinson@saxinstitute.org.au
                paul.kelly@act.gov.au
                gmcdonne@bigpond.net.au
                nrobe@doh.health.nsw.gov.au
                chwhi@doh.health.nsw.gov.au
                sally.redman@saxinstitute.org.au
                Journal
                Health Res Policy Syst
                Health Res Policy Syst
                Health Research Policy and Systems
                BioMed Central (London )
                1478-4505
                2 October 2017
                2 October 2017
                2017
                : 15
                : 83
                Affiliations
                [1 ]ACT Government, Health Directorate, GPO Box 825, Canberra, ACT 2601 Australia
                [2 ]ISNI 0000 0004 0601 4585, GRID grid.474225.2, The Australian Prevention Partnership Centre, Sax Institute, ; PO Box K617, Haymarket, NSW 1240 Sydney, Australia
                [3 ]ISNI 0000 0004 0402 6494, GRID grid.266886.4, School of Medicine, , University of Notre Dame, ; PO Box 944, Broadway, NSW 2007 Sydney, Australia
                [4 ]ISNI 0000 0004 1936 834X, GRID grid.1013.3, Sydney Medical School, University of Sydney, ; Sydney, NSW 2006 Australia
                [5 ]ISNI 0000 0001 2180 7477, GRID grid.1001.0, The Australian National University, ; Canberra, ACT 2601 Australia
                [6 ]Adaptive Care Systems, Sydney, NSW 2052 Australia
                [7 ]ISNI 0000 0001 0753 1056, GRID grid.416088.3, NSW Ministry of Health, ; LMB 961 North, Sydney, NSW 2059 Australia
                Author information
                http://orcid.org/0000-0002-7434-870X
                Article
                245
                10.1186/s12961-017-0245-1
                5629638
                28969642
                2f75c7b7-9b79-43b9-9212-96af76fc1606
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 31 March 2017
                : 5 September 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: GNT9100001
                Categories
                Opinion
                Custom metadata
                © The Author(s) 2017

                Health & Social care
                participatory dynamic simulation modelling,decision support,knowledge mobilisation,childhood obesity,alcohol,diabetes in pregnancy

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