SHINE Research

Research Overview

For researchers wanting to collaborate with SHINE

We envisage a paradigm change in the next decade in how researchers summarize their findings in research papers and policy briefs.  At the moment, researchers usually stop at the point of estimating some change in an intermediary health outcome – such as change in blood pressure of change in disease incidence rates.  But to be more useful for policy prioritisation, and prioritisation of future research, we believe these results should and could be taken one step further: to estimate the health adjusted life years (HALYs) gained implied by research outputs.  For example, if a research project estimates a 1.5 mmHg change in blood pressure for some intervention, SHINE infrastructure offers the ability to extend this to what it means for HALYs gained and other metrics, and compare this to other interventions.

Research groups often reach out to biostatisticians for assistance in power calculations, study design and analyses.  SHINE can assist researchers in parallel ways, including:

  • ‘is it worth it’ scenario analyses before embarking on a new research project.  For example, in addition to statistical power calculations, if the intervention you are studying will gain society so little health gain, or at such poor likely cost effectiveness, why proceed?  Conversely, if the intervention you are proposing to study has the potential for large health gains that are highly cost effective (or even cost saving), quantifying the general scope of benefits early in the research process can both strengthen funding applications and help prioritize next steps in research.
  • ‘what is the next research priority?’. From a decision making perspective, the next best research to conduct is that which reduces uncertainty about cost effectiveness.  By using probabilistic uncertainty analyses and ‘tornado plots’, SHINE modelling can identify those inputs that if we have better data on would have a large influence of how decision-makers weight up policy.

Last but not least, other researchers may be interested in a traditional collaboration – with Chief Investigators and Associate Investigators from SHINE on funding proposals, weaving in SHINE research approaches.

For more information, please email population-interventions@unimelb.edu.au.

Case studies:

Please see these case studies of SHINE evaluations:

  • COVID-19 policy options
  • Tobacco control interventions
  • Dietary interventions
  • Housing interventions

Research Publications

Please see the main SHINE page for Research Outputs

Research Projects

This Research Group doesn't currently have any projects


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