Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks
Hirsch, G., Homer, J., Trogdon, J., Wile, K., & Orenstein, D. (2014). Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks. American Journal of Public Health, 104(7), 1187-1195. https://doi.org/10.2105/AJPH.2013.301816
Abstract
The Prevention Impacts Simulation Model (PRISM) projects the multiyear impacts of 22 different interventions aimed at reducing risk of cardiovascular disease. We grouped these into 4 categories: clinical, behavioral support, health promotion and access, and taxes and regulation. We simulated impacts for the United States overall and also for a less-advantaged county with a higher death rate. Of the 4 categories of intervention, taxes and regulation reduce costs the most in the short term (through 2020) and long term (through 2040) and reduce deaths the most in the long term; they are second to clinical interventions in reducing deaths in the short term. All 4 categories combined were required to bring costs and deaths in the less-advantaged county down to the national level. (Am J Public Health. Published online ahead of print May 15, 2014: e1-e9. doi:10.2105/AJPH.2013.301816)
To contact an RTI author, request a report, or for additional information about publications by our experts, send us your request.