Synthesized economic evidence on the cost-effectiveness of screening familial hypercholesterolemia.

IF 4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Mengying Wang, Shan Jiang, Boyang Li, Bonny Parkinson, Jiao Lu, Kai Tan, Yuanyuan Gu, Shunping Li
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引用次数: 0

Abstract

Background: Familial hypercholesterolemia (FH) is a prevalent genetic disorder with global implications for severe cardiovascular diseases. Motivated by the growing recognition of the need for early diagnosis and treatment of FH to mitigate its severe consequences, alongside the gaps in understanding the economic implications and equity impacts of FH screening, this study aims to synthesize the economic evidence on the cost-effectiveness of FH screening and to analyze the impact of FH screening on health inequality.

Methods: We conducted a systematic review on the economic evaluations of FH screening and extracted information from the included studies using a pre-determined form for evidence synthesis. We synthesized the cost-effectiveness components involving the calculation of synthesized incremental cost-effectiveness ratios (ICERs) and net health benefit (NHB) of different FH screening strategies. Additionally, we applied an aggregate distributional cost-effectiveness analysis (DCEA) to assess the impact of FH screening on health inequality.

Results: Among the 19 studies included, over half utilized Markov models, and 84% concluded that FH screening was potentially cost-effective. Based on the synthesized evidence, cascade screening was likely to be cost-effective, with an ICER of $49,630 per quality-adjusted life year (QALY). The ICER for universal screening was $20,860 per QALY as per evidence synthesis. The aggregate DCEA for six eligible studies presented that the incremental equally distributed equivalent health (EDEH) exceeded the NHB. The difference between EDEH and NHB across the six studies were 325, 137, 556, 36, 50, and 31 QALYs, respectively, with an average positive difference of 189 QALYs.

Conclusions: Our research offered valuable insights into the economic evaluations of FH screening strategies, highlighting significant heterogeneity in methods and outcomes across different contexts. Most studies indicated that FH screening is cost-effective and contributes to improving overall population health while potentially reducing health inequality. These findings offer implications that policies should promote the implementation of FH screening programs, particularly among younger population. Optimizing screening strategies based on economic evidence can help identify the most effective measures for improving health outcomes and maximizing cost-effectiveness.

关于筛查家族性高胆固醇血症成本效益的综合经济证据。
背景:家族性高胆固醇血症(FH家族性高胆固醇血症(FH)是一种普遍存在的遗传性疾病,对严重的心血管疾病具有全球性影响。越来越多的人认识到需要对家族性高胆固醇血症进行早期诊断和治疗,以减轻其严重后果,同时对家族性高胆固醇血症筛查的经济意义和公平影响的认识也存在差距,因此本研究旨在综合有关家族性高胆固醇血症筛查成本效益的经济证据,并分析家族性高胆固醇血症筛查对健康不平等的影响:我们对 FH 筛查的经济评估进行了系统性回顾,并使用预先确定的证据综合表格从纳入的研究中提取信息。我们对成本效益部分进行了综合,包括计算不同 FH 筛查策略的综合增量成本效益比 (ICER) 和净健康效益 (NHB)。此外,我们还采用了综合分布成本效益分析(DCEA)来评估房颤筛查对健康不平等的影响:结果:在纳入的 19 项研究中,超过半数采用了马尔可夫模型,84% 的研究认为房颤筛查具有潜在的成本效益。根据综合证据,逐级筛查可能具有成本效益,每质量调整生命年(QALY)的ICER为49,630美元。根据证据综述,普遍筛查的 ICER 为每质量调整生命年 20,860 美元。六项合格研究的综合 DCEA 显示,平均分配等效健康增量(EDEH)超过了 NHB。六项研究的 EDEH 与 NHB 之差分别为 325、137、556、36、50 和 31 QALYs,平均正差为 189 QALYs:我们的研究为血脂过高筛查策略的经济评估提供了宝贵的见解,突出了不同情况下筛查方法和结果的显著异质性。大多数研究表明,先天性心脏病筛查具有成本效益,有助于改善整体人口健康状况,同时有可能减少健康不平等现象。这些研究结果表明,政策应促进低密度脂蛋白血症筛查计划的实施,尤其是在年轻人群中。根据经济学证据优化筛查策略有助于确定最有效的措施,以改善健康结果并最大限度地提高成本效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Global Health Research and Policy
Global Health Research and Policy Social Sciences-Health (social science)
CiteScore
12.00
自引率
1.10%
发文量
43
审稿时长
5 weeks
期刊介绍: Global Health Research and Policy, an open-access, multidisciplinary journal, publishes research on various aspects of global health, addressing topics like health equity, health systems and policy, social determinants of health, disease burden, population health, and other urgent global health issues. It serves as a forum for high-quality research focused on regional and global health improvement, emphasizing solutions for health equity.
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