Customized tools

For evaluations beyond those that can be retrieved from the above tools  or where the user prefers us to generate the findings, SHINE undertakes bespoke quantification of intervention impacts and other services:

  • Evaluations of primary and secondary preventative interventions.  The options are unlimited.  Evaluations will typically be specified in terms of:
    • An intervention module:
      • How the intervention leads to changes in risk factors, or changes in disease incidence/morbidity/case fatality rates directly
      • What the world looks like without the intervention (business-as-usual)
      • How many people are impacted by the intervention, for how long, with what attenuation
    • Scaling-down.  If the user is interested in comparing sub-populations, e.g. socioeconomic groups to determine inequality impacts, or disease risk strata (e.g. absolute risk of CVD event in the next five years) to determine the most (cost) effective sub-populations to intervene in.
    • Scaling-up.  If the user is interested in packages of interventions, and their total health and cost impacts.
    • Scaling-out.  If the use is interested in the same analysis being conducted across multiple states or territories, or multiple countries.
    • For a cost-effectiveness analysis, what the upfront and ongoing costs are of the intervention
    • The types of outputs required, including differences between intervention and BAU for:
      • Health adjusted life years (HALYs), including by time period into the future
      • Deaths averted in the first 10, 20 or so years
      • Health expenditure impacts (usually reduction) due to changes in future disease incidence, prevalence and mortality
      • Income gains due to a healthier working age population.  More specifically, the productivity gains from a human capital perspective, using linked disease-tax data from NZ purchase power parity adjusted to Australia.
      • Changes in future risk factor distributions
      • Changes in future disease incidence/prevalence/morbidity/mortality rates
  • Other services such as in-depth modelling of intervention options (e.g. as per our agent-based model for COVID-19), lifetable analyses to inform study power, and such like.