Reducing Health Disparities Through Informatics
Reducing Health Disparities Through Informatics
批准号:
10826719
负责人:
SUZANNE BAKKEN
金额:
$6.84万
依托单位国家:
美国
项目类别:
财政年份:
2002
资助国家:
美国
项目状态:
未结题
起止时间:
2002-08-01 至 2027-06-30
中文摘要
项目摘要
哥伦比亚大学护理学院一直是准备护士科学家进行
跨学科信息学研究了近二十年,通过减少健康差距,
信息学(RHeaDI)前和博士后培训计划(T32NR007969)和相关资金来源。
此外,RHeaDI的领导者,导师和学员进行了跨学科的信息学研究,
拥有先进的护理科学和健康公平。RHeaDI的目标和培训活动在这个竞争激烈的
更新建立在其19年的资助的实质性成就,并与
国家护理研究所(NINR)致力于支持护理科学,重点是(a)
(B)制定和实施
针对整个生命周期的社会决定因素的干预措施;以及(c)制定和推进
在整个生命周期中创新的整体和精确的健康。建立在RHeaDI的独特和历史性的基础上,
信息学和数据科学的优势,以及在过去的竞争中对精确健康方法的关注,
更新,竞争性更新的重点是克服每个人健康的结构性障碍-
不论种族、民族、性别或收入。鉴于我们成功地招募了一批多元化的护士,
RHeaDI和计划成果,我们要求4个博士前和4个博士后职位。具体
RHeaDI在21 - 25年竞争性更新的目标是:1)维持一个行政结构,
支持护士的跨学科研究培训,重点是信息学和数据科学的使用
促进卫生公平、全面和精确卫生的方法,并促进以证据为基础的实践,
服务不足的人群; 2)招聘和培训来自不同背景的合格的多样化护士骨干,
文化,经验和观点进行跨学科研究,重点是利用信息学和
数据科学方法,以促进健康公平,全面和精确的健康,并促进基于证据的
在服务不足的人群中。3)提高博士前和博士后的知识和技能
护理实习生在信息学,数据科学和少数民族健康的理论和方法的整合
和健康差距研究,以促进健康公平,整体和精确的健康,并促进证据-
在服务不足的人群中进行基于实践的培训;以及4)评估培训计划的结构,过程,
持续和每年的成果。需要护士科学家培训,以实现重点的
RHeaDI的目标比以往任何时候都要大,哥伦比亚大学护理学院以其特殊的资源,
唯一有资格领导这个创新的培训计划。
英文摘要
PROJECT SUMMARY
Columbia University School of Nursing has been the leader in preparing nurse scientists to conduct
interdisciplinary informatics research for nearly two decades through the Reducing Health Disparities Through
Informatics (RHeaDI) Pre and Postdoctoral Training Program (T32NR007969) and related funding sources.
Moreover, RHeaDI leaders, preceptors, and trainees have conducted interdisciplinary informatics research that
has advanced nursing science and health equity. RHeaDI aims and training activities in this competitive
renewal build upon the substantial achievements of its 19 years of funding and are well-aligned with the
National Institute of Nursing Research (NINR) commitment to supporting nursing science that focuses on (a)
dismantling structures that perpetuate racism and impede health equity; (b) developing and implementing
interventions that address social determinants across the lifespan; and (c) developing and advancing
innovative holistic and precision health across the lifespan. Building upon RHeaDI’s unique and historic
strengths in informatics and data science and the focus on precision health approaches in the last competitive
renewal, the competitive renewal focuses on overcoming structural obstacles to health for everyone ---
regardless of race, ethnicity, gender, or income. Given our success in recruiting a diverse cadre of nurses for
RHeaDI and the program outcomes, we are requesting 4 predoctoral and 4 postdoctoral positions. The specific
aims of RHeaDI for the competitive renewal for Years 21-25 are to: 1) Maintain an administrative structure to
support interdisciplinary research training for nurses focused on the use of informatics and data science
approaches to advance health equity, holistic and precision health, and facilitate evidence-based practice in
underserved populations; 2) Recruit and train a qualified diverse cadre of nurses from different backgrounds,
cultures, experiences, and perspectives to conduct interdisciplinary research focused on using informatics and
data science approaches to advance health equity, holistic and precision health, and facilitate evidence-based
practice in underserved populations. 3) Enhance the knowledge and skills of predoctoral and postdoctoral
nurse trainees in the integration of theories and methods from informatics, data science, and minority health
and health disparities research to advance health equity, holistic and precision health, and facilitate evidence-
based practice in underserved populations; and 4) Evaluate the training program structures, processes, and
outcomes on an ongoing and annual basis. The need for nurse scientists trained to achieve the focus of the
RHeaDI aims is greater than ever and Columbia University School of Nursing with its exceptional resources is
uniquely qualified to lead this innovative training program.
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DOI:
10.1016/j.jana.2017.06.009
发表时间:
2017-11
期刊:
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作者:
[Stonbraker S, Arcia A, Halpern M, Larson E]
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Larson E
DOI:
10.1097/nnr.0000000000000586
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2022-07-01
期刊:
NURSING RESEARCH
影响因子:
2.5
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[Song, Jiyoun, Ojo, Marietta, Bowles, Kathryn H., McDonald, Margaret V., Cato, Kenrick, Rossetti, Sarah Collins, Adams, Victoria, Chae, Sena, Hobensack, Mollie, Kennedy, Erin, Tark, Aluem, Kang, Min-Jeoung, Woo, Kyungmi, Barron, Yolanda, Sridharan, Sridevi, Topaz, Maxim]
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Topaz, Maxim
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2012
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NI 2012 : 11th International Congress on Nursing Informatics, June 23-27, 2012, Montreal, Canada. International Congress in Nursing Informatics (11th : 2012 : Montreal, Quebec)
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多米尼加城市女性的癌症担忧:一项定性研究。
DOI:
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发表时间:
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期刊:
Journal of transcultural nursing : official journal of the Transcultural Nursing Society
影响因子:
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