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From Analysis to Action: Advancing Health Equity through Learning Health System Research

From Analysis to Action: Advancing Health Equity through Learning Health System Research
从分析到行动:通过学习卫生系统研究促进卫生公平
批准号:
10753013
负责人:
Erika Rose Cheng
金额:
$5.0万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-09-05 至 2024-08-31

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中文摘要
翻译
公众最近提高了对结构性种族主义和其他制度化的影响的认识 对医疗保健的提供和健康结果的压迫形式。解决健康问题 不平等将要求我们的医疗保健系统运作方式发生戏剧性的转变。“学习健康” 系统“(LHS)模型,其中内部数据和经验与外部系统集成 证据,并将知识付诸实践,是提供卫生保健的一种范式转变方法 作为促进反应更迅速和更公平的护理系统的一种方式,它有着很大的希望。然而,按照顺序, 为了取得成果,我们必须让学术和运营企业中的利益相关者具备 进行、实施和传播高质量和可操作的LHS研究的知识和技能 关注健康公平。因此,此应用程序请求为为期两天的研讨会提供支持 行动:通过学习卫生系统研究促进卫生公平“,旨在将受训者联系起来, 渴望将健康公平研究纳入LHS的科学家、教师和健康专业人员。这个 研讨会将于2023年11月9日至10日在印第安纳波利斯举行。我们研讨会的目的是:(1) 将主要利益相关者--研究人员和医疗保健专业人员聚集在一起,专注于改善公平 社区和人口健康,以及那些努力促进公平和劳动力多样性的人 改善医疗保健服务的交付-实现互联、协作,并提供多角度的推进 LHS中的卫生公平;(2)为研究人员和卫生专业人员提供整合的机会 通过展示公平的例子,将健康公平的原则融入LHS的研究能力和领域- 基于挑战和解决方案;(3)考虑历史上被排除的工作的伦理方面, 临床研究中代表性不足和边缘化的患者群体;以及(4)促进同行学习和 在研究和实践之间架起桥梁,同时在LHS内部工作,通过 以便利的方式传播和实施证据。我们将实现这些目标 通过演讲者计划、协调的网络和提供实践学习的分组会议 关于卫生公平和相关研究战略。我们的计划将为那些被驱使到 将高质量的医疗保健和医疗保健服务带给历史上被排斥、代表性不足和边缘化的人 患者群体,包括来自不同领域(例如,医学、公共卫生)和培训的研究人员 级别(即研究员、初级教员等)。重要的是,我们相信实现这些目标的工作是多方面的。 NIMHD认识到的关键感兴趣领域,包括:(1)结构性种族主义和 对少数群体健康和健康差距的歧视;(2)健康差距的数据科学;(3)患者- 初级保健中的临床医生沟通。
英文摘要
Public awareness has recently increased about the impacts of structural racism and other institutionalized forms of oppression on the delivery of health care and on health outcomes. Addressing issues of health inequity will require a dramatic transformation of how our health care systems function. The “learning health system” (LHS) model, in which internal data and experience are systematically integrated with external evidence, and that knowledge is put into practice, is a paradigm-shifting approach to the delivery of health care and holds great promise as a way to foster more responsive and equitable systems of care. However, in order to achieve results, we must equip stakeholders across the academic and operational enterprises with the knowledge and skills to conduct, implement, and disseminate high quality and actionable LHS research that focuses on health equity. Therefore, this application requests support for a two-day Symposium “From Analysis to Action: Advancing Health Equity through Learning Health System Research,” designed to connect trainees, scientists, faculty and health professionals who aspire to incorporate health equity research into the LHS. The symposium will be held in Indianapolis IN on November 9-10, 2023. The purpose of our symposium is to: (1) Bring together key stakeholders – researchers and health care professionals focused on improving equitable community and population health, as well as those striving to advance equity and workforce diversity to improve the delivery of health care – to connect, collaborate, and provide multiple perspectives on advancing health equity in the LHS; (2) Provide opportunities for researchers and health professionals to integrate principles of health equity into LHS research competencies and domains by showcasing examples of equity- based challenges and solutions; (3) Consider ethical aspects of working with historically excluded, underrepresented, and marginalized patient populations in clinical research; and (4) Foster peer learning and build bridges between research and practice while working within LHS to put research into practice through the dissemination and implementation of evidence in an expedient manner. We will accomplish these goals through a program of speakers, coordinated networking, and breakout sessions that provide practical learning about health equity and relevant research strategies. Our program will be designed for those who are driven to bring quality health care and health care services to historically excluded, underrepresented, and marginalized patient populations, including researchers from a variety of fields (e.g., medicine, public health) and training levels (i.e., fellows, junior faculty, etc.). Importantly, we believe the work to accomplish these goals spans critical areas of interest recognized by the NIMHD, including: (1) the impact of structural racism and discrimination on minority health and health disparities; (2) data science in health disparities; and (3) patient- clinician communication in primary care.
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