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The article discusses evidence from an Oregon study as of 2017 which shows that expansion of uninsured Medicaid coverage increased prescription medication use, specially those on chronic conditions like diabetes and mental health. It states that Medicaid increases primary and preventive care use and emergency department and hospital presentations, and that it eliminated the use of original prescription medications. Also noted is the Medicaid expansion's potential impact on the opioid epidemic.

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. [ABSTRACT FROM AUTHOR]