Pei Pamela P, Weinstein Milton C, Li X Cynthia, Hughes Michael D, Paltiel A David, Hou Taige, Parker Robert A, Gaynes Melanie R, Sax Paul E, Freedberg Kenneth A, Schackman Bruce R, Walensky Rochelle P
Medical Practice Evaluation Center, Massachusetts General Hospital , Boston, USA.
HIV Clin Trials. 2015 Nov;16(6):207-18. doi: 10.1080/15284336.2015.1123942. Epub 2015 Dec 11.
Value of Information (VOI) analysis examines whether to acquire information before making a decision. We introduced VOI to the HIV audience, using the example of generic antiretroviral therapy (ART) in the US.
We used a mathematical model and probabilistic sensitivity analysis (PSA) to generate probability distributions of survival (in quality-adjusted life years, QALYs) and cost for three potential first-line ART regimens: three-pill generic, two-pill generic, and single-pill branded. These served as input for a comparison of two hypothetical two-arm trials: three-pill generic versus single-pill branded; and two-pill generic versus single-pill branded. We modeled pre-trial uncertainty by defining probability distributions around key inputs, including 24-week HIV-RNA suppression and subsequent ART failure. We assumed that, without a trial, patients received the single-pill branded strategy. Post-trial, we assumed that patients received the most cost-effective strategy. For both trials, we quantified the probability of changing to a generic-based regimen upon trial completion and the expected VOI in terms of improved health outcomes and costs. Assuming a willingness to pay (WTP) threshold of $100 000/QALY, the three-pill trial led to more treatment changes (84%) than the two-pill trial (78%). Estimated VOI was $48 000 (three-pill trial) and $35 700 (two-pill trial) per future patient initiating ART.
A three-pill trial of generic ART is more likely to lead to post-trial treatment changes and to provide more value than a two-pill trial if policy decisions are based on cost-effectiveness. Value of Information analysis can identify trials likely to confer the greatest impact and value for HIV care.
信息价值(VOI)分析旨在探讨在做决策前是否获取信息。我们以美国通用抗逆转录病毒疗法(ART)为例,将VOI引入到艾滋病领域。
我们使用数学模型和概率敏感性分析(PSA)来生成三种潜在一线ART方案的生存概率分布(以质量调整生命年,即QALY计)和成本:三联通用片、二联通用片和单片品牌药。这些数据作为两个假设双臂试验比较的输入:三联通用片与单片品牌药;二联通用片与单片品牌药。我们通过定义关键输入(包括24周HIV-RNA抑制及后续ART失败)的概率分布来模拟试验前的不确定性。我们假设,在没有试验的情况下,患者接受单片品牌药策略。试验后,我们假设患者接受最具成本效益的策略。对于这两个试验,我们量化了试验完成后改用基于通用片方案的概率以及在改善健康结果和成本方面的预期信息价值。假设支付意愿(WTP)阈值为100000美元/QALY,三联片试验导致的治疗方案改变(84%)比二联片试验(78%)更多。每位开始接受ART治疗的未来患者的估计信息价值为三联片试验48000美元,二联片试验35700美元。
如果政策决策基于成本效益,三联通用片ART试验比二联片试验更有可能导致试验后治疗方案的改变,并提供更多价值。信息价值分析可以识别出可能对艾滋病护理产生最大影响和价值的试验。