本文以多因子群體歸因風險模式，衡量心臟血管疾病之改善效益。實證資料來源取自中央研究院之「竹東及朴子地區心臟血管疾病長期追蹤研究」(CVDFACTS)與國民健康保險資料庫。此模式可以估計出，若將數個心臟血管疾病之風險因子完全從群體中消除時，群體所能減少的醫療成本。本文認為，有別於單因子群體歸因風險模式只能估計改善單一風險因子的效益，若要估計群體同時改善多個風險因子所引起的經濟效益，為了避免醫療成本的重複估計，使用多因子群體歸因風險模式是比較適當的選擇。

This paper evaluates the improvement benefits of Cardiovascular Disease by a proposed multifactor of Population Attributable Risk (PAR) method. Data from the CVDFACTS project and NHI database are used for empirical analysis. The reduction of medical cost can be estimated when the risk factors are totally dispelled from the colony by the proposed multifactor PAR model. The single-factor PAR model can only estimate that improve benefit of the single risk factor and will repeat estimate the economic benefits of multiple risk factors. It is therefore plausible to conclude that the proposed multifactor PAR model can provide more accurate estimates of economic benefits than that of the single-factor PAR model.