本文引用旅行成本法（travel cost method）的概念，運用截斷式負二項模型 (truncated negative binomial model) 估計含有健康指標 (血壓值、膽固醇值、血糖值、肥胖值) 的醫療照護需求函數，並藉由觀察醫療照護需求的變化，探討改善心血管疾病的風險因子 (高血壓，高膽固醇、糖尿病、肥胖) 時，所能產生的經濟效益。
實證結果顯示，以台閩地區而言，在考量患者的直接及間接醫療成本時，分別改善心血管疾病罹病者的血壓值、膽固醇值、血糖值、肥胖值狀況至平常人的水準，則健康指標改善總效益分別為
360 億元、355 億元、309 億元、241 億元。只考量直接醫療成本時，健康指標改善總效益分別為317 億元、313 億元、272 億元、212 億元。若考量健康指標降到臨界值之健康指標改善效益，健康指標改善總效益分別為125 億元、242 億元、145 億元、97 億元。

This paper uses the Travel Cost Method (TCM) to evaluate the benefits from ameliorating cardiovascular disease. Data from the
CVDFACTS project and NHI are used for the empirical analysis.
Results using the truncated negative binomial regression model show that if we can ameliorate risk factors, such as hypertension, cholesterol, diabetes and obesity, among cardiovascular disease sufferers so that the risk levels are no higher than found in the general population the Benefits of Ameliorating Disease are cost of medical service can be reduced NT＄ 36.0, 35.5, 30.9 and 24.1 billion respectively. It is believed that research the benefits from ameliorating cardiovascular disease researcher and policy executor for caring about should have reference value.