ArticleHealth research policy and systems2017
Knowledge mobilisation for policy development: implementing systems approaches through participatory dynamic simulation modelling.
Article in Health research policy and systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
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Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Application of group model building in implementation research: A systematic review of the public health and healthcare literature.PloS one · 2023Pooled it
- Engaging Healthcare Staff and Stakeholders in Healthcare Simulation Modeling to Better Translate Research Into Health Impact: A Systematic Review.Frontiers in health services · 2021Pooled it
- Participatory systems modelling to improve mental health systems in Bogotá, Colombia: stakeholders' perspectives, experiences and networks.International journal of mental health systems · 2026Article
- Towards socially robust policy modelling: scoping review of public involvement in computational policy modelling.Health research policy and systems · 2026Article
- Building Bridges: Establishing a Multiple Sclerosis Rehabilitation Research and Clinical Knowledge Mobilization Strategy.NeuroRehabilitation · 2025Article
- Participatory systems modelling for youth mental health: agility and adaptiveness to enhance stakeholder engagement and knowledge sharing.International journal of mental health systems · 2025Article
- The involvement of stakeholders in computational model development to support decision-making in public health: a scoping review.BMC public health · 2025Article
- Promoting sustained access to cognitive behavioral therapy for insomnia in Australia: a system-level implementation program.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Article
- Insights from a codesigned dynamic modelling study of child and adolescent obesity in Australia.BMJ public health · 2025Article
- Early COVID-19 Pandemic Preparedness: Informing Public Health Interventions and Hospital Capacity Planning Through Participatory Hybrid Simulation Modeling.International journal of environmental research and public health · 2024Article
- A competency framework on simulation modelling-supported decision-making for Master of Public Health graduates.Journal of public health (Oxford, England) · 2024Review
- Conceptualising the value of simulation modelling for public engagement with policy: a critical literature review.Health research policy and systems · 2023Review
- Combining public health evidence, policy experience and communications expertise to inform preventive health: reflections on a novel method of knowledge synthesis.Health research policy and systems · 2023Article
- Global issues, local action: exploring local governments use of research in "tackling climate change and its impacts on health" in Victoria, Australia.BMC health services research · 2023Article
- Cohort Profile Update: The 45 and Up Study.International journal of epidemiology · 2023Article
- Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review.International journal of health policy and management · 2023Article
- Can participatory processes lead to changes in the configuration of local mental health networks? A social network analysis.Frontiers in public health · 2023Article
- Applying systems approaches to stakeholder and community engagement and knowledge mobilisation in youth mental health system modelling.International journal of mental health systems · 2022Article
- Participatory Methods for Systems Modeling of Youth Mental Health: Implementation Protocol.JMIR research protocols · 2022Article
- Reducing youth suicide: systems modelling and simulation to guide targeted investments across the determinants.BMC medicine · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEvidence-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.
objectiveThis 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.
conclusionParticipatory 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.