eaa777cd_CER_Inventory___CER_Inventory__Category
[Agency] AHRQ-Indian Health Service [Project Title] Optimal & Equitable Care: Medicaid Data Research Infrastructure [Institution] Morehouse School of Medicine [Amount] $0 [Summary] This is a Data Capacity-Building Project, to build a robust comparative effectiveness research infrastructure, agenda, and collaborative partnerships focused on eliminating health disparities. Specifically we will build a database comprised of all Medicaid enrollees and claims in the states that share in common both adverse minority health outcomes and the historical roots of racial health disparities in the South. Setting & Participants: Our CMS data request has already been approved and we have actually purchased (but not yet received) a 100% sample of four years (2004-07) of Medicaid Analytic Extract (MAX-file) data (plus Medicare-linked claims for dual-eligibles) from fourteen southern states, representing 3.8 to 5.4 million persons each year (one-third of all U.S. Medicaid enrollees, nearly half [48%] of African American and 21 % of Latino Medicaid enrollees in the U.S). This region is the epicenter of the black-white health disparities epidemic, and has also experienced a recent and rapid influx of Latino immigrants. Our HBCU-based team has previously had extensive experience training health services researchers (especially minority investigators) to use Medicaid claims data for research, but we currently lack the personnel and infrastructure support needed to efficiently organize and analyze these data to support minority investigators. Specific Alms: Using Medicaid Claims Data: 1. To build a Medicaid claims data set (including socio-economic, contextual, and geospatial analytic variables, NDC cross-walk data and therapeutic class codes, as well as certain Medicare data for dualeligibles) to support projects focused on the intersection between disparities research and comparative effectiveness research in clinically and socially complex patient populations. 2. To create an efficient process for assisting non-Morehouse investigators to develop research protocols, analysis plans, CMS data re-use requests, and analytic files for collaborative research. 3. To train, develop, cultivate, and support emerging minority investigators (especially at HBCUs and other minority-serving institutions) as independently-funded health services researchers who are increasingly proficient in multivariate analysis of Medicaid and Medicare claims data. 4. Cultivate comparative effectiveness and disparities research collaborations with Georgia Tech experts in mathematics, complexity science, simulation modeling, and interactive computing. [Completion/ Closing Date] 10/02/2010 [Link] link [Category] 
Data Infrastructure
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