为各州医疗补助计划提供创新解决方案,以利用其数据,建立其分析能力,并制定基于证据的政策

Lauren Adams, Susan A Kennedy, L. Allen, Andrew J Barnes, Tom Bias, D. Crane, P. Lanier, Rachel G. Mauk, Shamis Mohamoud, Nathan Pauly, J. Talbert, C. Woodcock, K. Zivin, J. Donohue
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引用次数: 12

摘要

随着各州接受了额外的灵活性来改变医疗补助服务的覆盖范围和支付方式,他们也面临着提供高价值医疗服务的更高期望。为满足这些新期望而做出的努力增加了对严格的、基于证据的政策的需求,但各州可能面临寻找满足这一需求的资源、能力和专业知识的挑战。通过描述20多个州的州立大学合作伙伴关系,本评论为那些希望利用自己的数据、建立分析能力和制定循证政策的州描述了创新的解决方案。从改善长期护理的综合网络系统到评估永久性支持性住房安置对医疗补助利用和支出的影响,这些州的合作伙伴关系为其州医疗补助计划提供了重要支持。2017年,这些合作伙伴共同创建了一个支持多状态分析的分布式研究网络。医疗补助结果分布式研究网络(MODRN)使用一个通用的数据模型来检查各州的医疗补助数据,从而提高医疗补助政策评估的分析严密性,并有助于建立一个功能齐全的医疗补助创新实验室。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovative Solutions for State Medicaid Programs to Leverage Their Data, Build Their Analytic Capacity, and Create Evidence-Based Policy
As states have embraced additional flexibility to change coverage of and payment for Medicaid services, they have also faced heightened expectations for delivering high-value care. Efforts to meet these new expectations have increased the need for rigorous, evidence-based policy, but states may face challenges finding the resources, capacity, and expertise to meet this need. By describing state-university partnerships in more than 20 states, this commentary describes innovative solutions for states that want to leverage their own data, build their analytic capacity, and create evidence-based policy. From an integrated web-based system to improve long-term care to evaluating the impact of permanent supportive housing placements on Medicaid utilization and spending, these state partnerships provide significant support to their state Medicaid programs. In 2017, these partnerships came together to create a distributed research network that supports multi-state analyses. The Medicaid Outcomes Distributed Research Network (MODRN) uses a common data model to examine Medicaid data across states, thereby increasing the analytic rigor of policy evaluations in Medicaid, and contributing to the development of a fully functioning Medicaid innovation laboratory.
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