Training Program
培训计划
基本信息
- 批准号:8382382
- 负责人:
- 金额:$ 2.7万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:
- 资助国家:美国
- 起止时间:至
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The overarching purpose of the Native People for Cancer Control (NPCC) Training Program is to prepare a
cadre of post-doctoral level American Indian and Alaska Native (AI/AN) scientists who will work to reduce
cancer health disparities in Al/ANs. Research by these scientists will be grounded in a community-based
participatory research approach. The ultimate goal is to Increase the number of AI/AN scientists capable of
conducting high-quality population research at the interface of cancer, health disparities, and culture. The
NPCC Training Program will provide training and mentorship to promising new researchers, as well as to the
new and eariy-career investigators who lead the Community Networks Project (CNP) Pilot Projects. We will
build on our 5 years of experience with the successful career development program that was a component of
CNP 1. That program, in turn, built on the strengths ofthe Native Investigator Development Program (NIDP)
The NPCC Training Program will use formal didactic sessions, workshops, mini-courses, regular meetings
and mentoring activities to help investigators of AI/AN heritage acquire the skills and knowledge necessary to
become Pis on NIH grants. Projects supported by the Program will address cancer health disparities at the
individual, family, provider, delivery system, and community levels. Thus, the Specific Aims of the Training
Program are to 1) increase the number of Al/ANs able to conduct community-based participatory research
pertinent to cancer disparities by augmenting each cohort ofthe NIDP with one additional AI/AN junior faculty
member, known as the CNP-Native Investigator; 2) initiate and maintain leaming and mentoring relationships
between established researchers and junior AI/AN investigators, thus extending NPCC's existing network of
well-trained, community-oriented investigators; 3) improve the analytic and methodological skills of AI/AN
scientists through participation in secondary data analyses (NIDP Training Projects) and enhance their
community engagement skills through primary data collection (NIDP Training Projects and CNP Pilot Projects);
4) publish manuscripts based on these Training Projects and 2 CNP Pilot Projects, and use these publications
as foundations for grant applications to reduce cancer health disparities. We will also link our activities to the
Fred Hutchinson Cancer Research Center/University of Washington Biobehavioral Cancer Prevention and
Control Training Program, and to the training opportunities offered by the University's Surgical Outcomes
Research Center. This continuation of our NPCC Training Program focused on AI/AN health inequities will
allow us to enhance a remarkably successful program that has already trained 28 Native researchers.
土著人控制癌症控制(NPCC)培训计划的总体目的是准备
博士后美国印第安人和阿拉斯加本地人(AI/AN)科学家的干部,他们将努力减少
Al/Ans的癌症健康差异。这些科学家的研究将基于社区
参与性研究方法。最终目标是增加能够
在癌症,健康差异和文化的界面进行高质量的人群研究。这
NPCC培训计划将为有前途的新研究人员提供培训和指导,以及
领导社区网络项目(CNP)试点项目的新的和耳边的调查员。我们将
以我们成功的职业发展计划的5年经验为基础,该计划是
CNP 1。该计划又基于本地调查员开发计划(NIDP)的优势
NPCC培训计划将使用正式的教义会议,讲习班,迷你演奏,定期会议
以及指导活动以帮助AI/AN遗产的调查人员获得必要的技能和知识
成为NIH赠款的PI。该计划支持的项目将解决癌症健康差异
个人,家庭,提供商,交付系统和社区级别。因此,培训的具体目标
计划为1)增加能够进行社区参与研究的AL/ANS数量
与癌症差异相关,通过增加NIDP的每个队列,并另外一个AI/一个初级教师
成员,被称为CNP-native研究者; 2)启动和维护融化和指导关系
在既定研究人员和初级AI/AN研究人员之间,从而扩展了NPCC现有的网络
训练有素,以社区为导向的研究人员; 3)提高AI/AN的分析和方法学技能
科学家通过参与二级数据分析(NIDP培训项目)并增强他们的
通过主要数据收集(NIDP培训项目和CNP试点项目)的社区参与技能;
4)根据这些培训项目和2个CNP试点项目发布手稿,并使用这些出版物
作为减少癌症健康差异的赠款申请的基础。我们还将将我们的活动与
弗雷德·哈钦森癌症研究中心/华盛顿大学生物行为预防癌症和
控制培训计划,以及大学外科成果提供的培训机会
研究中心。我们的NPCC培训计划的延续集中在AI/A A A/A AN NEVEN不平等方面
允许我们增强一项非常成功的计划,该计划已经培训了28位本地研究人员。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据
数据更新时间:2024-06-01
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Health Communication with American Indian Elders
与美洲印第安人长者的健康沟通
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Health Communication with American Indian Elders
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Health Communication with American Indian Elders
与美洲印第安人长者的健康沟通
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Health Communication with American Indian Elders
与美洲印第安人长者的健康沟通
- 批准号:72747287274728
- 财政年份:2005
- 资助金额:$ 2.7万$ 2.7万
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