摘要
目的探讨数据包络分析(DEA)在2型糖尿病不同医疗方案经济学评价中的应用。方法采用临床随机试验的方法,将入组的2型糖尿病患者分为不同的医疗方案组进行治疗,然后进行随访观察。对各随访期内的成本和医疗后果进行测量,然后使用DEA对不同医疗方案的投入和产出进行综合评价。结果常规治疗组和强化治疗组1年例均总费用分别为1403.78元和1460.83元,差异无统计学意义(P>0.05);强化治疗组的各临床疗效优于常规治疗组,且获得了比常规治疗组更多的质量调整生命年(QALYs)(P<0.05)。与常规治疗方案相比,强化治疗方案为DEA有效,其投入和产出达到了最优。结论DEA可作为2型糖尿病不同医疗方案经济学评价的有效手段,强化治疗方案比常规治疗方案具有更好的经济学效果。
Objective To explore application of data envelopment analysis（DEA） in economic evaluation of the elderly with type 2 diabetes mellitus（T2DM） with different treatment regimens. Methods The patients with T2DM grouped according to different treatment regimens with clinical randomized trial were followed up. The cost and medical outcomes in different time were measured to evaluate generally the inputs and outputs of each treatment regimen. Results Total expenses yearly of routine treatment and of intensive treatment group were 1 403.78 and 1 460.83 RMB without significant difference（P 〉 0. 05）. The clinical therapeutic effect of intensive treatment group were better than those of routine treatment group; and intensive treatment group had more quality-adjusted life years （QALYs） and more effective DEA than routine treatment group（P 〈0.05）, achieving the best inputs and outputs ratio. Conclusions DEA could serve as the effective way of economic evaluation of the elderly with T2DM with different treatment regimens; the intensive treatment had better economic effect than routine treatment.
出处
《中国老年学杂志》
CAS
CSCD
北大核心
2005年第8期871-874,共4页
Chinese Journal of Gerontology
基金
国家"十五"科技攻关项目(2001BA70205)
关键词
2型糖尿病
经济学评价
数据包络分析
Type 2 diabetes mellitus（ T2DM ）
Economic evaluation
Data envelopment analysis （DEA）
作者简介
杨土保（1962-），男，教授，主要从事卫生服务管理流行病学和生物统计学研究。
孙振球（1942-），男，教授，博士生导师，从事医学综合评价、生物统计学和卫生管理学研究。通讯作者
