Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks
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...
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Veröffentlicht in: | American journal of public health (1971) 2014-07, Vol.104 (7), p.1187-1195 |
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description | 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. |
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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.</description><identifier>ISSN: 0090-0036</identifier><identifier>EISSN: 1541-0048</identifier><identifier>DOI: 10.2105/AJPH.2013.301816</identifier><identifier>PMID: 24832142</identifier><identifier>CODEN: AJPEAG</identifier><language>eng</language><publisher>Washington, DC: American Public Health Association</publisher><subject>Adolescent ; Adult ; Age ; Aged ; Air pollution ; Behavior ; Biological and medical sciences ; Blood Glucose ; Blood Pressure ; Body Mass Index ; Cardiovascular Disease ; Cardiovascular Diseases - prevention & control ; Cholesterol ; Chronic illnesses ; Community Health ; Computer Simulation ; Costs ; Diabetes ; Disease control ; Disease prevention ; Female ; Framing Health Matters ; General aspects ; Health Behavior ; Health care expenditures ; Health Promotion ; Humans ; Hyperlipidemia ; Intervention ; Lipids - blood ; Male ; Medical sciences ; Middle Aged ; Miscellaneous ; Mortality ; Outdoor air quality ; Poverty Areas ; Prevention ; Public Health ; Public Health Practice ; Public health. 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subjects | Adolescent Adult Age Aged Air pollution Behavior Biological and medical sciences Blood Glucose Blood Pressure Body Mass Index Cardiovascular Disease Cardiovascular Diseases - prevention & control Cholesterol Chronic illnesses Community Health Computer Simulation Costs Diabetes Disease control Disease prevention Female Framing Health Matters General aspects Health Behavior Health care expenditures Health Promotion Humans Hyperlipidemia Intervention Lipids - blood Male Medical sciences Middle Aged Miscellaneous Mortality Outdoor air quality Poverty Areas Prevention Public Health Public Health Practice Public health. Hygiene Public health. Hygiene-occupational medicine Regulation Risk Factors Risk Reduction Behavior Smoking Socioeconomic Factors Studies Taxes United States Young Adult |
title | Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks |
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