Cost-effectiveness and return on investment of hepatitis C virus elimination in China: A modelling study

医学 投资回报率 投资(军事) 中国 病毒学 乙型肝炎病毒 内科学 经济 病毒 宏观经济学 政治学 政治 法学 生产(经济)
作者
Mei-Yu Wu,Jing Ma,Xuehong Wang,Sini Li,Chongqing Tan,Ouyang Xie,Andong Li,Aaron G. Lim,Xiaomin Wan
出处
期刊:Clinical and molecular hepatology [Korean Association for the Study of the Liver]
被引量:2
标识
DOI:10.3350/cmh.2024.0664
摘要

The WHO set the goal of eliminating hepatitis C virus (HCV) by 2030, with 80% and 65% reductions in HCV incidence and mortality rates, respectively. We aimed to evaluate the health benefits, cost-effectiveness and return on investment (ROI) of HCV elimination. Using an HCV transmission compartmental model, we evaluated the benefits and costs of different strategies combining screening and treatment for Chinese populations. We identified strategies to achieve HCV elimination and calculated the incremental cost-effectiveness ratios (ICERs) per disability-adjusted life year (DALY) averted for 2022-2030 to identify the optimal elimination strategy. Furthermore, we estimated the ROI by 2050 by comparing the required investment with the economic productivity gains from reduced HCV incidence and deaths. The strategy that results in the most significant health benefits involves conducting annual primary screening at a rate of 14%, re-screening people who inject drugs (PWID) annually and the general population every five years, and treating 95% of those diagnosed (P14-R4-T95), preventing approximately 5.75 and 0.44 million HCV infections and deaths, respectively, during 2022-2030. At a willingness-to-pay threshold of $12,615, the P14-R4-T95 strategy is the most cost-effective, with an ICER of $5,449/DALY. By 2050, this strategy would have a net benefit of $120,997 million (ROI=0.868). Achieving HCV elimination in China by 2030 will require significant investment in large-scale universal screening and treatment, but it will yield substantial health and economic benefits and is cost effective.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
科研牛马完成签到 ,获得积分10
刚刚
1秒前
彭于晏应助焦星辰采纳,获得10
2秒前
2秒前
2秒前
熟睡的妻子完成签到,获得积分10
4秒前
4秒前
qianzi完成签到 ,获得积分10
4秒前
NN应助JiangZhi采纳,获得10
6秒前
斯文败类应助四维穿梭采纳,获得10
6秒前
7秒前
骆西西发布了新的文献求助10
8秒前
蟹黄包发布了新的文献求助10
8秒前
卫子善发布了新的文献求助10
9秒前
无私夏之完成签到,获得积分10
10秒前
pancake发布了新的文献求助10
11秒前
爆杀小白鼠完成签到,获得积分10
12秒前
高兴致远发布了新的文献求助10
12秒前
12秒前
FashionBoy应助lulufighting采纳,获得10
13秒前
隐形曼青应助卫子善采纳,获得10
13秒前
dzyg6发布了新的文献求助10
13秒前
芝麻糊了发布了新的文献求助10
14秒前
15秒前
Meng完成签到,获得积分20
15秒前
完美世界应助胍基采纳,获得10
16秒前
16秒前
17秒前
Mu丶tou完成签到,获得积分10
19秒前
卫子善完成签到,获得积分20
20秒前
Michael完成签到,获得积分10
20秒前
恶毒的婆婆完成签到,获得积分10
20秒前
郑雨霏发布了新的文献求助10
22秒前
科目三应助xudaniel采纳,获得10
23秒前
25秒前
Nole应助dzyg6采纳,获得10
25秒前
MONSTER发布了新的文献求助10
27秒前
NN应助不喝牛奶的猫采纳,获得10
27秒前
无限的鸡翅完成签到,获得积分10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7624124
求助须知:如何正确求助?哪些是违规求助? 9199281
关于积分的说明 19722241
捐赠科研通 7195342
什么是DOI,文献DOI怎么找? 3273475
关于科研通互助平台的介绍 2435663
邀请新用户注册赠送积分活动 2269253