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The reduction of the productivity burden of cardiovascular disease by improving the risk factor control Among Australians with type 2 diabetes: a 10-year dynamic analysis

Year: 2024
Type: article
Abstract: AIMS: To quantify the productivity burden of cardiovascular disease (CVD) in type 2 diabetes and the potential benefits of improved CVD risk factor control. METHODS AND RESULTS: We designed models to quantify the productivity burden (using the productivity-adjusted life-year; PALY) of CVD in Australians with type 2 diabetes aged 40-69 years from 2023-2032. PALYs were ascribed a financial value equivalent to gross domestic product (GDP) per full-time worker (AU$204 167 (€124 542)). The base-case model was designed to quantify the productivity burden of CVD in the target population. Then, other hypothetical scenarios were simulated to estimate the potential productivity gains resulting from improved control of risk factors. These scenarios included reductions in systolic blood pressure (SBP), number of smokers, total cholesterol, and incidence of type 2 diabetes. All future costs and outcomes were discounted at an annual rate of 5%. In the base-case (i.e. current projections), the estimated total PALYs lost due to CVD in type 2 diabetes were 1.21 million [95%CI (1.10-1.29 million)], contributing to an AU$258.93 (€157.94) billion [95%CI (AU$258.73-261.69 (€157.83-159.63) billion)] lost in the country's GDP. If there were reductions in SBP, number of smokers, total cholesterol, and incidence of type 2 diabetes, there would be gains of 7,889, 28,971, 7,117, and 320 124 PALYs, respectively. These improvements would also lead to economic gains of AU$1.72 (€1.05) billion, AU$6.21 (€3.79) billion, AU$1.55 billion (€947.33 million), and AU$68.34 (€41.69) billion, respectively. CONCLUSION: Targeted 'early lifestyle' strategies that can prevent CVD in Australians with type 2 diabetes are likely to positively impact Australian health and work productivity.
Language: English
Open Access status: hybrid
Estimated APC paid: $4,176
OpenAlex ID: W4402323185
FWCI: 2.17
Cites: 41
Cited by: 6
Related to: 10