Arkansas Center for Health Disparities T32 Pre-doctoral Research Training Program
Arkansas Center for Health Disparities T32 Pre-doctoral Research Training Program
批准号:
10543151
负责人:
Jonathan Bona
金额:
$21.83万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-04-08 至 2024-12-31
中文摘要
项目概要/摘要
该提案旨在创建一个博士前培训计划“阿肯色州健康差异中心T32
卫生政策与管理系博士前研究培训项目(ARCHD-T32)
在阿肯色州大学医学科学(UAMS)。该计划建立在研究基础设施之上
国家少数民族健康和健康差异研究所(NIMHD)资助的阿肯色州健康中心
差异(ARCHD)卓越中心和公共学院的五个社会科学博士课程
健康,药学院和护理学院与生物医学系的支持
医学院信息学。ARCHD-T32提供了一个正式的结构,
通过教学和应用环境分析社会科学课程,重点是减少健康
根据国家营养和卫生管理局的优先事项,消除不平等和改善卫生公平。ARHD-T32参与者将
受益于ARCHD COE,因为它为两个研究项目提供资金,为新研究人员提供试点资金,
和社区参与的研究基础设施。ARCHD-T32利用UAMS的独特数据资产
数据仓库、外部合作伙伴和阿肯色州所有付款人索赔数据库,以解决三个具体的
目标:1)建立一个正式的结构,培训社会科学家进行不平等/健康公平研究,
先进的数据分析和团队科学方法; 2)开发正式的外部计划,
3)与ARCHD,翻译研究所,区域合作
计划,新成立的数字健康和创新研究所在UAMS和研究所先进的
阿肯色州大学的数据分析以及其他国家项目。正式组织
结构包括一个多项目主任计划,结合社会科学的专业知识,
分析,生物统计学和信息学被提议满足五个主要目标:招募一个多样化的群体,
具有定量背景/能力并对差异研究感兴趣的学员;
针对识别和消除医疗保健的高级分析的优质个性化培训计划
差异;增加阿肯色州和拥有先进分析能力的国家的劳动力,
有助于识别和消除医疗保健差异;促进基于以下方面的培训环境:
跨学科的专业知识和团队科学,以回应社区的需求;评估的广度,
培训计划的总体目标是创建一个多样化的培训计划,满足
国家和民族的需要。要求提供支持,以创建四个队列的两个博士前学生与
两年的培训承诺。利用UAMS和国家合作伙伴的技术和财政资源,
拟议的培训计划是利用先进的分析技术解决卫生公平问题的国家模式,
一个存在明显健康差异的环境。
英文摘要
PROJECT SUMMARY/ABSTRACT
This proposal seeks to create a pre-doctoral training program “Arkansas Center for Health Disparities T32
Pre-doctoral Research Training Program” (ARCHD-T32) in the Department of Health Policy and Management
at the University of Arkansas for Medical Sciences (UAMS). The program builds on the research infrastructure
of the National Institute on Minority Health and Health Disparities (NIMHD) funded Arkansas Center for Health
Disparities (ARCHD) Center of Excellence and five social science PhD programs across the College of Public
Health, the College of Pharmacy, and the College of Nursing with support from the Department of Biomedical
Informatics in the College of Medicine. ARCHD-T32 provides a formal structure for integrating advanced
analytics into social science programs through didactic and applied settings with a focus on reducing health
disparities and improving health equity consistent with the priorities of NIMHD. ARCHD-T32 participants will
benefit from the ARCHD COE as it provides funding for two research projects, pilot funds for new investigators,
and community-engaged research infrastructure. ARCHD-T32 leverages the unique data assets of the UAMS
data warehouse, external partners, and the Arkansas All Payer Claims Database to address three specific
aims: 1) Create a formal structure for training social scientists in disparities/health equity research using
advanced data analytics and a team science approach; 2) Develop formal externship programs with key
partners in the state; and 3) Collaborate with the ARCHD, the Translational Research Institute, Regional
Programs, the newly formed Institute for Digital Health and Innovation at UAMS and the Institute for Advanced
Data Analytics at the University of Arkansas, as well as other national programs. A formal organizational
structure including a Multiple Program Director plan that combines expertise from the social sciences,
analytics, biostatistics, and informatics is proposed to meet five primary objectives: to recruit a diverse group of
trainees with quantitative backgrounds/capabilities and an interest in disparities research; to develop a high-
quality, individualized training program in advanced analytics directed at identifying and eliminating healthcare
disparities; to increase the workforce in Arkansas and the nation that has advanced analytics capabilities and
can contribute to identifying and eliminating healthcare disparities; to foster a training environment based on
interdisciplinary expertise and team science that responds to community needs; to evaluate the breadth of the
training program with respect to the overarching goal of creating a diverse training program that meets the
needs of the state and the nation. Support is requested to create four cohorts of two predoctoral students with
two-year training commitments. With technical and financial resources from UAMS and state partners, the
proposed training program serves as a national model for addressing health equity using advanced analytics in
an environment with pronounced health disparities.
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