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Optimal & Equitable Care: Medicaid Data Research Infrastructure

最佳的

基本信息

批准号：
8016135
负责人：
GEORGE S RUST
金额：
$ 99.41万
依托单位：
MOREHOUSE SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-09-30 至 2012-09-29
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8016135
关键词：
Optimal Equitable Care Medicaid Data

项目摘要

DESCRIPTION (provided by applicant): Purpose: 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. PUBLIC HEALTH RELEVANCE: Medicaid patients are characterized by clinical and social complexity - the very characteristics that often exclude them from clinical trials and yet drive health disparities. This Medicaid based data set will populate studies that help us understand how local-area, provider-level, and patient-level differences in treatment (natural experiments in comparative effectiveness) influence clinical and economic outcomes. Variation implies that disparities are not inevitable. The comparative impact of this natural variation can be measured in meaningful outcomes such as emergency department visits, hospital admissions, inpatient bed-days, deaths, and total Medicaid expenditures, as well as community-level disparity rate-ratios. Medicaid data allow us to follow a complex patient (e.g., co-morbid diabetes and schizophrenia or COPD and CHF) from treatment to outcomes through every billable service in the healthcare system {i.e., from doctor's visit to lab tests to prescriptions to emergency room visits or hospital admissions). Morehouse School of Medicine has a unique ability to develop a new cadre of minority investigators to conduct and interpret the results of health services research with a racially-sensitive, culturally-competent perspective.

描述（由申请人提供）：目的：这是一个数据能力建设项目，旨在建立健全的比较有效性研究基础设施、议程和合作伙伴关系，重点消除健康差距。具体来说，我们将建立一个数据库，包括所有医疗补助计划的参保者和各州的索赔人，这些人都有共同的不利的少数民族健康结果和南方种族健康差异的历史根源。

项目成果

期刊论文数量（13）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Diversity in academic medicine no. 3 struggle for survival among leading diversity programs.

学术医学的多样性没有。

DOI：
10.1002/msj.20081
发表时间：
2008
期刊：
The Mount Sinai journal of medicine, New York
影响因子：
0
作者：
Strelnick,AHal;Taylor,VeraS;Williams,Beverly;Lee-Rey,Elizabeth;Herbert-Carter,Janice;Fry-Johnson,YvonneW;Smith,QuentinT;Rust,George;Kondwani,Kofi
通讯作者：
Kondwani,Kofi

Racial/ethnic disparities, social support, and depression: examining a social determinant of mental health.

种族/民族差异、社会支持和抑郁：检查心理健康的社会决定因素。