Compelling Case Project – Phase 2
Project title: Dynamic simulation modelling to support investment decisions across the common risk factors for lifestyle-related chronic disease
Start date: November 2018
Estimated end date: November 2020
What is the issue?
Despite many major chronic diseases being largely preventable through changes to health behaviours (including poor diet, physical inactivity, tobacco use, harmful alcohol consumption and obesity), only 1.3% of all health spending is currently directed towards prevention programs.
In an effort to establish a compelling argument for investment in prevention and to determine how best to target strategies for maximum impact, the Prevention Centre previously supported the Compelling Case Project Phase 1.
How is the project addressing the issue?
The first phase of the Compelling Case project delivered a proof of concept national system dynamics model of six interacting lifestyle-related risk factors, their related health burden, and several intervention archetypes capable of demonstrating net benefits over the short and long term. It also demonstrated the value of using more textured agent-based models for specific issues at the state and regional level and how these models could interact with the national model to track impacts on local and national performance.
The second phase of this work aims to:
- Develop the proof of concept national systems dynamics model into a customised, validated, robust decision support tool to inform national strategies for lifestyle-related chronic disease prevention in Australia
- Engage key decision makers in the customisation of the tool and, where possible, build embedded capacity within health departments to use and maintain the tool and generate insights useful for informing policy and planning over the longer term
- Integrate and exercise the agent-based models developed during the first phase (particularly the tobacco and alcohol models) to generate inputs for the national model and derive insights for policy, planning, advocacy, communications and publication in the scientific literature.
Like all of our dynamic simulation modelling projects, we are using a participatory approach that builds on knowledge translation methods and brings multidisciplinary stakeholders together to collaborate and explore policy and health service scenarios. The participatory methods place the key stakeholder at the centre of the process.
Relevance for policy and practice
This project will demonstrate to our policy partners that they can apply the national model to support their decision making. We will show that the model can be updated as new data becomes available, making it a long-term decision support asset for best buys in chronic disease prevention and burden reduction.
In addition, the national model will be able to be customised and made applicable to different population levels, such as at state and territory level, in the future.
We are committed to building internal capacity within state, territory and Commonwealth health departments to improve understanding of the value of these decision support tools and build confidence and competence in interacting with them and their supporting infrastructure.
What are the expected outcomes?
The outputs will be:
- A model that allows scenario testing and forecasting of the impact of single and multiple interventions and the cost-effectiveness of different combinations of interventions
- A range of insights briefs, publications and other visual communications to disseminate the work
- A model user guide.
Associate Professor Jo-An Atkinson, Sax Institute
Professor Rob Carter, Deakin University
Danielle Currie, Sax Institute
Paul Crosland, Deakin University
Jacqueline Davison, Sax Institute
Kurt Krueger, Krueger Consulting
Andrew Page, Western Sydney University
Geoff McDonnell, Adaptive Care Systems
Mark Heffernan, Dynamic Operations
Michael Lambert, Sax Institute
This project is funded by the NHMRC, Australian Government Department of Health, ACT Health, Cancer Council Australia, NSW Ministry of Health, South Australia Department for Health and Wellbeing, Tasmanian Department of Health, and VicHealth.
- The research team have developed a conceptual diagram of the proposed model structure. This diagram will be a useful tool for explaining the complexity of the systems dynamics model for phase 2 when engaging with policy makers and other stakeholders.
- Crosland P. Economic cost of preventable disease Australia: systematic review of estimates and methods. Public Health Association of Australia Prevention Conference. Melbourne, 12-14 June, 2019.
- Local ABC Radio, interview with Paul Crosland on the systematic review of the health burden of preventable disease in Australia, March 2019.