Ramsey Scott D, Blough David K, Sullivan Sean D
Fred Hutchinson Cancer Research Center, University of Washington, Seattle, Washington 98109, USA.
Med Care. 2008 May;46(5):542-8. doi: 10.1097/MLR.0b013e318160b479.
BACKGROUND/RATIONALE: Expected value of information (EVI) analyses allow researchers to estimate the returns to conducting research. We used EVI techniques to estimate the value of the National Emphysema Treatment Trial (NETT), a multicenter randomized trial of lung-volume-reduction surgery (LVRS) versus medical therapy (MT) for patients with severe emphysema, then compared that result to the trial cost.
We gathered information on costs and benefits of LVRS and MT before the trial and the costs of conducting the NETT, and compared these data with the results of the cost-effectiveness analysis conducted alongside the trial. We used 2 thresholds to represent the societal value of a quality-adjusted life year (QALY): USD 50,000 and USD100,000.
The cost effectiveness of LVRS versus MT using historical (nontrial) information was USD 305,000/QALY. Based on these data and the threshold incremental cost-effectiveness ratio values, the expected value of perfect information was USD 46 million and USD 670 million for thresholds USD 50,000 and USD 100,000 per QALY, respectively. The NETT was powered for 1,250 patients in each arm; ultimately approximately 600 patients in each arm were recruited. With 1,250 patients per arm, the expected value of sample information was USD 660 million for the threshold of USD100,000. The actual cost of the NETT was approximately USD 60 million. The expected net benefit of sampling was USD 600 million.
Given the difference between the cost of the trial and the economic benefits of the information, the EVI analyses suggest that federal investment in the NETT trial represented good value for money.
背景/基本原理:信息期望值(EVI)分析可让研究人员估计开展研究的回报。我们运用EVI技术估算了国家肺气肿治疗试验(NETT)的价值,这是一项针对重度肺气肿患者进行肺减容手术(LVRS)与药物治疗(MT)对比的多中心随机试验,然后将该结果与试验成本进行比较。
我们收集了试验前LVRS和MT的成本与效益信息以及开展NETT的成本,并将这些数据与试验同期进行的成本效益分析结果相比较。我们使用两个阈值来代表质量调整生命年(QALY)的社会价值:50,000美元和100,000美元。
利用历史(非试验)信息得出LVRS与MT相比的成本效益为每QALY 305,000美元。基于这些数据以及阈值增量成本效益比值,对于每QALY 50,000美元和100,000美元的阈值,完全信息的期望值分别为4600万美元和6.7亿美元。NETT计划每组纳入1250例患者;最终每组约招募了600例患者。每组1250例患者时,对于100,000美元的阈值,样本信息的期望值为6.6亿美元。NETT的实际成本约为6000万美元。抽样的预期净效益为6亿美元。
鉴于试验成本与信息的经济效益之间的差异,EVI分析表明联邦政府对NETT试验的投资物有所值。