Projected New-Onset Cardiovascular Disease by Socioeconomic Group in Australia

Pharmacoeconomics. 2022 Apr;40(4):449-460. doi: 10.1007/s40273-021-01127-1. Epub 2022 Jan 17.

Abstract

Background: Socioeconomic status has an important effect on cardiovascular disease (CVD). Data on the economic implications of CVD by socioeconomic status are needed to inform healthcare planning.

Objectives: The aim of this study was to project new-onset CVD and related health economic outcomes in Australia by socioeconomic status from 2021 to 2030.

Methods: A dynamic population model was built to project annual new-onset CVD by socioeconomic quintile in Australians aged 40-79 years from 2021 to 2030. Cardiovascular risk was estimated using the Pooled Cohort Equation (PCE) from Australian-specific data, stratified for each socioeconomic quintile. The model projected years of life lived, quality- adjusted life-years (QALYs), acute healthcare medical costs, and productivity losses due to new-onset CVD. All outcomes were discounted by 5% annually.

Results: PCE estimates showed that 8.4% of people in the most disadvantaged quintile were at high risk of CVD, compared with 3.7% in the least disadvantaged quintile (p < 0.001). From 2021 to 2030, the model projected 32% more cardiovascular events in the most disadvantaged quintile compared with the least disadvantaged (127,070 in SE 1 vs. 96,222 in SE 5). Acute healthcare costs in the most disadvantaged quintile were Australian dollars (AU$) 183 million higher than the least disadvantaged, and the difference in productivity costs was AU$959 million. Removing the equity gap (by applying the cardiovascular risk from the least disadvantaged quintile to the whole population) would prevent 114,822 cardiovascular events and save AU$704 million of healthcare costs and AU$3844 million of lost earnings over the next 10 years.

Conclusion: Our results highlight the pressing need to implement primary prevention interventions to reduce cardiovascular health inequity. This model provides a platform to incorporate socioeconomic status into health economic models by estimating which interventions are likely to yield more benefits in each socioeconomic quintile.

MeSH terms

  • Australia / epidemiology
  • Cardiovascular Diseases* / epidemiology
  • Cardiovascular Diseases* / prevention & control
  • Health Care Costs
  • Humans
  • Quality-Adjusted Life Years
  • Socioeconomic Factors