Zerzan Judy, Griffith Katherine, Trudnak Tara, Fairbrother Gerry
Colorado Department of Health Care Policy and Financing.
AcademyHealth.
EGEMS (Wash DC). 2014 Jun 16;2(1):1061. doi: 10.13063/2327-9214.1061. eCollection 2014.
There are many benefits of multistate collaboratives or networks to states, but at the center is that they allow for the opportunity to learn from other states and experts about the practices and policies states have implemented without the significant time lag of published research. This commentary examines these benefits and illustrates the importance of quality improvement collaborations to decision-making in state Medicaid programs.
In 2007, the Medicaid Medical Directors Learning Network (MMDLN) began conducting quality improvement studies using their own state-level administrative data to better understand the major clinical issues facing the Medicaid populations and to work together on policies to improve outcomes.
The three issues selected by MMDs for quality improvement monitoring to date involved an important national problem - including both morbidity and cost - and were amenable to policy solutions. The studies examined the use of antipsychotic medication in children, hospital admissions and readmissions, and early elective deliveries (i.e., elective deliveries occurring before 39 weeks).
The multistate clinical quality projects conducted offer a key mechanism for achieving the goal of helping the Medicaid program deliver value-driven, high-quality, cost-effective health care in an efficient manner. These projects also provide the participating states with data to inform policies internally.
In order for the quality of health care to improve, the system needs to be structured as a learning health care system; one that is always accessing evidence, implementing a variation of it (i.e., with new data sources or tools such as electronic clinical data), assessing effectiveness, and sharing results for others to repeat the cycle.
多州合作组织或网络对各州有诸多益处,但其核心在于,它们为各州提供了一个机会,使其能够向其他州和专家学习已实施的实践和政策,而无需等待已发表研究的显著时间滞后。本评论探讨了这些益处,并阐述了质量改进合作对州医疗补助计划决策的重要性。
2007年,医疗补助医疗主任学习网络(MMDLN)开始利用其自身的州级行政数据开展质量改进研究,以更好地了解医疗补助人群面临的主要临床问题,并共同制定改善结果的政策。
医疗主任们迄今选择用于质量改进监测的三个问题涉及一个重要的全国性问题——包括发病率和成本——并且适合采用政策解决方案。这些研究考察了儿童抗精神病药物的使用、住院和再住院情况以及早期选择性分娩(即39周前的选择性分娩)。
所开展的多州临床质量项目提供了一个关键机制,有助于实现医疗补助计划以高效方式提供价值驱动、高质量、具有成本效益的医疗保健这一目标。这些项目还为参与州提供数据,以便在内部为政策提供信息。
为了提高医疗保健质量,该系统需要构建成一个学习型医疗保健系统;一个始终获取证据、实施其变体(即利用新数据源或工具,如电子临床数据)、评估有效性并分享结果以供他人重复该循环的系统。