A model for undertaking effectiveness and cost-effectiveness analyses of primary preventive strategies in cardiovascular disease. |
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| Authors: | Danny Liew Stephen S Lim Melanie Bertram John J McNeil Theo Vos |
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| Affiliation: | NHMRC Centre for Clinical Research Excellence in Therapeutics, Department of Epidemiology and Preventive Medicine, Monash University Medical School, Alfred Hospital, Melbourne, Australia. danny.liew@med.monash.edu.au |
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| Abstract: | BACKGROUND: Clinical trials generally provide strong evidence of the efficacy of cardiovascular preventive strategies, but poor evidence of their 'real-life' utility, in terms of effectiveness and cost-effectiveness. DESIGN AND METHODS: The Cardiovascular Disease Prevention Model is presented, which represents a means of extrapolating the results of clinical trials to a broader, more relevant context. The model is configured as a decision-analysis tree, and underpinned by life-course analysis and Markov processes. Uncertainty and sensitivity analyses are undertaken by Monte Carlo simulation. RESULTS: The results of effectiveness and cost-effectiveness analyses of a hypothetical preventive intervention are presented to demonstrate the outputs of the model. The potential impact and efficiency of the intervention are made obvious. CONCLUSIONS: The Cardiovascular Disease Prevention Model offers a means to translate the results of trials of cardiovascular preventive interventions, in order to inform clinical and public health practice, as well as health policy. |
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