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
项目摘要/摘要
该提案旨在创建一个博士前培训计划,名为“阿肯色州健康差异中心T32”
卫生政策和管理部博士前研究培训计划“(ArchD-T32)
在阿肯色大学医学科学(UAMS)。该计划建立在研究基础设施的基础上
国家少数民族健康和健康差距研究所(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项目
在生物医学系的支持下,健康学院、药学学院和护理学院
医学院的信息学。ArchD-T32为集成高级
通过教学和应用环境将分析纳入社会科学项目,重点是减少健康
差距和改善卫生公平符合NIMHD的优先事项。ArchD-T32参与者将
受益于ArchD COE,因为它为两个研究项目提供资金,为新调查人员提供试点资金,
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要解决三个具体问题
目标:1)建立一个正式的结构,培训社会科学家进行差异/健康公平研究
高级数据分析和团队科学方法;2)开发正式的外部项目
该州的合作伙伴;以及3)与地区翻译研究所ArchD合作
计划,在UAMS新成立的数字健康与创新研究所和高级
阿肯色大学的数据分析以及其他国家项目。正式的组织机构
结构包括一个结合了社会科学专业知识的多项目主任计划,
分析学、生物统计学和信息学是为了满足五个主要目标而提出的:招募不同的
具有量化背景/能力并对差异研究感兴趣的受训人员;发展高度的-
旨在识别和消除医疗保健的高质量、个性化的高级分析培训计划
差距;增加阿肯色州和拥有先进分析能力和
有助于识别和消除医疗保健差距;培养基于以下方面的培训环境
响应社区需求的跨学科专业知识和团队科学;评估
与创建满足以下要求的多样化培训方案的总体目标有关的培训方案
国家和民族的需要。要求支持创建四个队列,其中两名博士前学生具有
为期两年的培训承诺。在UAMS和国家合作伙伴的技术和财政资源的帮助下,
拟议的培训计划是使用先进的分析方法解决卫生公平问题的国家模式
存在明显健康差距的环境。
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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