Linthicum Mark T, Gonzalez Yuri Sanchez, Mulligan Karen, Moreno Gigi A, Dreyfus David, Juday Timothy, Marx Steven E, Lakdawalla Darius N, Edlin Brian R, Brookmeyer Ron
Precision Health Economics, 11100 Santa Monica Blvd, Suite 500, Los Angeles, CA 90025. E-mail:
Am J Manag Care. 2016 May;22(6 Spec No.):SP227-35.
To investigate the value of expanding screening and treatment for hepatitis C virus (HCV) infection in the United States.
Discrete-time Markov model.
We modeled HCV progression and transmission to analyze the costs and benefits of investment in screening and treatment over a 20-year time horizon. Population-level parameters were estimated using National Health and Nutrition Examination Survey data and published literature. We considered 3 screening scenarios that vary in terms of clinical guidelines and physician awareness of guidelines. For each screening scenario, we modeled 3 approaches to treatment, varying the fibrosis stage of treatment initiation. Net social value was the key model outcome, calculated as the value of benefits from improved quality-adjusted survival and reduced transmission minus screening, treatment, and medical costs.
Expanded screening policies generated the largest value to society. However, this value is constrained by the availability of treatment to diagnosed patients. Screening all individuals in the population generates $0.68 billion in social value if diagnosed patients are treated in fibrosis stages F3-F4 compared with $824 billion if all diagnosed patients in stages F0-F4 are treated. Moreover, increased screening generates cumulative net social value by year 8 to 9 under expanded treatment policies compared with 20 years if only patients in stages F3-F4 are treated.
Although increasing screening for HCV may generate some value to society, only when paired with expanded access to treatment at earlier disease stages will it produce considerable value. Such a "test and treat" strategy is likely to entail higher short-term costs but also yield the greatest social benefits.
探讨扩大美国丙型肝炎病毒(HCV)感染筛查和治疗的价值。
离散时间马尔可夫模型。
我们对HCV的进展和传播进行建模,以分析20年时间跨度内筛查和治疗投资的成本与效益。使用美国国家健康与营养检查调查数据及已发表文献估计人群水平参数。我们考虑了3种筛查方案,这些方案在临床指南以及医生对指南的知晓程度方面存在差异。对于每种筛查方案,我们对3种治疗方法进行建模,改变开始治疗时的纤维化阶段。净社会价值是关键的模型结果,计算方法为质量调整生存改善和传播减少带来的效益价值减去筛查、治疗和医疗成本。
扩大筛查政策为社会创造了最大价值。然而,这一价值受到确诊患者可获得治疗情况的限制。如果在纤维化F3 - F4阶段治疗确诊患者,对人群中的所有人进行筛查可产生6.8亿美元的社会价值;如果对F0 - F4阶段的所有确诊患者进行治疗,则为8240亿美元。此外,与仅治疗F3 - F4阶段患者时20年产生累积净社会价值相比,在扩大治疗政策下,增加筛查在第8至9年即可产生累积净社会价值。
虽然增加HCV筛查可能为社会带来一定价值,但只有在更早疾病阶段扩大治疗可及性的情况下,才会产生可观价值。这种“检测并治疗”策略可能会带来更高的短期成本,但也会产生最大的社会效益。