Background The Dapagliflozin and Prevention of Adverse Outcomes in Heart Failure (DAPA-HF) trial demonstrated that dapagliflozin reduced heart failure hospitalisations and mortality in patients with established heart failure, regardless of diabetic status. Purpose To assess the cost-effectiveness of dapagliflozin in addition to standard care versus standard care alone in patients with chronic heart failure, from the perspective of the Australian public healthcare system. Methods A Markov model populated with 1000 hypothetical individuals was constructed based on the DAPA-HF trial to assess the clinical outcomes and costs of patients with established heart failure and reduced ejection fraction over a lifetime time horizon. The model consisted of three health states: “Alive and event-free”, “Alive after non-fatal hospitalisation for heart failure” or “Dead”. Costs and utilities were estimated from published sources. Outcomes of interest were the incremental cost-effectiveness ratios (ICERs) in terms of cost per quality-adjusted life year (QALY) gained and cost per year of life saved (YoLS). All outcomes were discounted at a rate of 5% annually. Results Over a lifetime analysis, addition of dapagliflozin to standard care in patients with chronic heart failure prevented 88 acute heart failure hospitalisations (including readmission), and saved 416 (discounted) years of life and 288 (discounted) QALYs, at an additional cost of A$3,692,440 or €2,263,204 (discounted). This resulted in ICERs of A$8,875 (€5,439) per YoLS and A$12,482 (€7,650) per QALY gained, well below the Australian arbitrary willingness-to-pay threshold of A$50,000 (€30,645). Conclusion From the Australian public healthcare perspective, dapagliflozin is cost-effective when used as an adjunct therapy to standard care compared to standard care alone for the treatment of chronic heart failure with reduced ejection fraction. Funding Acknowledgement Type of funding source: None
Background Coronary heart disease (CHD) is the highest individual disease burden in Australia and associated with productivity losses through unplanned absence from work, reduced output while at work and early labour force withdrawal. Approximately eighty per cent of CHD cases in Australia are preventable, suggesting the potential benefit of employing preventive strategies addressing populations at risk of CHD. Purpose To determine the preventable productivity burden attributable to CHD over the next ten years, using the novel productivity measure: the “productivity-adjusted life year” (PALY). Methods A dynamic life table model was constructed for the total Australian population, separated by CHD status. Analysis was limited to the Australian working-age population (15–69 years) over ten years (2020–2029). Australian age- and sex-specific prevalence, incidence, migration and mortality data was employed, and productivity estimates were sourced from the literature. The PALY was ascribed a financial value in terms of gross domestic product (GDP) per equivalent full-time worker. The total number of years lived, total PALYs, and total economic burden (in terms of cost of PALYs) were estimated for each year. The model simulation was repeated assuming incidence was reduced, and the differences represented the preventable productivity burden attributable to CHD. All outcomes beyond the first year were discounted by 5% per annum. Results Over the next ten years, the total projected years lived and PALYs among the Australian working-age population (with and without CHD) were approximately 132 million and 83 million, respectively, amounting to A$17.2 trillion (€10.5 trillion) in GDP. We predicted nearly 40,000 new (incident) CHD cases over this ten-year period. If, however, we could prevent these new cases of CHD, a total of 14,000 deaths could be averted, resulting in more than 8,000 years of life saved and 100,000 PALYs gained, equivalent to A$21 billion (€12.9 billion) in GDP. Conclusion Prevention of CHD will prolong both years of life lived and productive life years, resulting in substantial economic benefit. Policy makers and employers are encouraged to engage in preventive measures addressing CHD. Funding Acknowledgement Type of funding source: None
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