多奈哌齐的两种剂型治疗阿尔茨海默病成本-效果分析
Cost-effectiveness analysis of two dosage forms of donepezil for Alzheimer's disease
赵荧荧 1居文祥 1张小涵 1路萝兰 1沈爱宗2
作者信息
- 1. 安徽中医药大学药学院,安徽 合肥 230012;安徽省药品临床综合评价技术中心,安徽 合肥 230001;公共健康社会治理安徽省哲学社会科学重点实验室,安徽 合肥 230032;精准药物制剂与临床药学安徽省重点实验室,安徽 合肥 230001
- 2. 安徽中医药大学药学院,安徽 合肥 230012;安徽省药品临床综合评价技术中心,安徽 合肥 230001;公共健康社会治理安徽省哲学社会科学重点实验室,安徽 合肥 230032;精准药物制剂与临床药学安徽省重点实验室,安徽 合肥 230001;中国科学技术大学附属第一医院/安徽省立医院药学部,安徽 合肥 230001
- 折叠
摘要
目的:从全社会角度评价多奈哌齐透皮贴剂对比片剂治疗阿尔茨海默病的经济性,为相关的卫生决策提供参考依据.方法:根据疾病发展进程建立轻、中、重度和死亡4种状态的Markov模型,进行成本-效果分析.以增量成本-效果比(incre-mental cost-effectiveness ratio,ICER)为指标评价多奈哌齐透皮贴剂对比片剂的经济性,并对结果进行敏感性分析.结果:多奈哌齐透皮贴剂对比片剂的ICER为590 606.15元/QALY,高于3倍2022年人均国内生产总值(GDP),多奈哌齐透皮贴剂不具有经济性.敏感性分析结果显示,重度状态效用值、多奈哌齐透皮贴剂成本、轻度状态效用值对结果的影响最大;在意愿支付阈值为3倍2022年人均GDP的情况下,多奈哌齐透皮贴剂具有经济性的概率为0.结论:从全社会角度来看,多奈哌齐透皮贴剂对比片剂治疗阿尔茨海默病不具有经济性.
Abstract
OBJECTIVE To evaluate the economics of transdermal donepezil patch(TDP)versus tablets for Alzheimer's disease(AD)from the perspective of the whole society and provide references for the relevant health decision-making.METHODS A Markov model with four states of mild,moderate,severe and death was developed on the basis of disease pro-gression.Cost-effectiveness analysis was performed.Incremental cost-effectiveness ratio(ICER)was utilized as an index for evaluating the economics of TDP as compared with tablets.And the results were analyzed for sensitivity.RESULTS ICER of TDP versus tablets was 590 606.15 yuan/QALY.It was much higher than 3 folds per capita gross domestic product(GDP)in 2022.TDP was not economical.Sensitivity analyses revealed that severe state utility value,cost of TDP and mild state utility value had the greatest impact on the results;with a willingness-to-pay threshold of 3 folds GDP per capita in 2022,the probability of TDP being economical was zero.CONCLUSION From the perspective of the whole society,TDP is not economical as com-pared with tablets for AD.
关键词
多奈哌齐/阿尔茨海默病/Markov模型/成本-效果分析Key words
donepezil/Alzheimer's disease/Markov model/cost-effectiveness analysis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据