Columbia University.
J Health Polit Policy Law. 2013 Dec;38(6):1183-92. doi: 10.1215/03616878-2373244. Epub 2013 Aug 23.
In 2008 Oregon allocated access to its Medicaid expansion program, Oregon Health Plan Standard, by drawing names from a waiting list by lottery. The lottery was chosen by policy makers and stakeholders as the preferred way to allocate limited resources. At the same time, it also gave rise to the Oregon Health Insurance Experiment: an unprecedented opportunity to do a randomized evaluation - the gold standard in medical and scientific research - of the impact of expanding Medicaid. In this article we provide historical context for Oregon's decision to conduct a lottery, discuss the importance of randomized controlled designs for policy evaluation, and describe some of the practical challenges in successfully capitalizing on the research opportunity presented by the Oregon lottery through public-academic partnerships. Since policy makers will always face tough choices about how to distribute scarce resources, we urge thoughtful consideration of the opportunities to incorporate randomization that can substantially improve the evidence available to inform policy decisions without compromising policy goals.
2008 年,俄勒冈州通过抽签的方式从候补名单中为其医疗补助扩展计划——俄勒冈健康计划标准——分配名额。政策制定者和利益相关者选择抽签作为分配有限资源的首选方式。与此同时,这也引发了俄勒冈健康保险实验:这是一个前所未有的机会,可以对扩大医疗补助的影响进行随机评估——这是医学和科学研究的金标准。在本文中,我们为俄勒冈州决定进行抽签提供了历史背景,讨论了随机对照设计对于政策评估的重要性,并描述了通过公共学术伙伴关系成功利用俄勒冈州抽签提供的研究机会所面临的一些实际挑战。由于政策制定者将始终面临如何分配稀缺资源的艰难选择,因此我们敦促他们认真考虑纳入随机化的机会,这可以在不影响政策目标的情况下,大大提高为决策提供信息的证据质量。