The Data, Evaluation, and Coordination Center (DECC) for Connecting Underrepresented Populations to Clinical Trials (CUSP2CT)
用于将代表性不足的人群与临床试验联系起来的数据、评估和协调中心 (DECC) (CUSP2CT)
基本信息
- 批准号:10597291
- 负责人:
- 金额:$ 55.44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-16 至 2027-08-31
- 项目状态:未结题
- 来源:
- 关键词:AdoptedAffectAwardBenchmarkingClinical DataClinical TrialsClinical Trials NetworkCollaborationsCommon Data ElementCommunicationCommunitiesConsensusDataData AnalyticsData CollectionData PoolingData ScienceDepartment of DefenseDevelopmentDisciplineEducation and OutreachEducational InterventionEthicsEvaluationFosteringGenerationsGoalsGrantHealthHumanIncidenceInfrastructureInterventionLeadershipLearningLogisticsMalignant NeoplasmsManuscriptsMeasuresMethodsMissionNational Center for Advancing Translational SciencesOncologyOutcomePoliciesPopulationPositioning AttributeProceduresProcessProgram EvaluationProtocols documentationPublicationsRecommendationReportingResearchResearch ActivityResearch DesignResearch PersonnelResearch SupportResourcesScienceSecureServicesSiteStandardizationStructureTerminologyUnderrepresented PopulationsWorkbaseblack mencancer carecancer health disparitydata exchangedata harmonizationdata managementdata sharingevidence basehealth disparityhealth equityimplementation strategyinteroperabilitymeetingsmembermortalityoperationprivacy preservationprogramssocial mediastatisticstoolweb portal
项目摘要
Project Summary
Despite the decline in overall mortality and incidence of cancer in the US population, disparities in cancer care
still largely exist within certain groups. One key barrier causing the lack of proportional representation of these
groups is the lack of dedicated efforts employing scientific rigorous approaches and implementation strategies
for increasing their proportional representation in clinical trials. The Connecting Underrepresented Populations
to Clinical Trials (CUSP2CT) program aims to implement and evaluate multilevel and culturally tailored outreach
and education interventions that will increase the accrual of underrepresented populations in clinical trials. To
support the CUSP2CT program, we are proposing to be the Data, Evaluation, and Coordination Center (DECC)
to support the data and evaluation activities and coordinate a learning collaborative towards mitigating the key
barriers of cancer disparity. Specifically, we will collaborate with the CUSP2CT U01 investigators and interact
with involved NCI staff members and with other stakeholders, as needed, to carry out the following activities: 1)
establish effective and efficient administrative processes and infrastructure through scientific leadership,
organizational processes, governance structure, effective oversight and operational procedures to achieve
optimal communication, collaboration, coordination, and dissemination of the CUSP2CT research, 2) facilitate
and coordinate data collection and management across the CUSP2CT program to facilitate evidence generation
and rapid dissemination of methods and tools, 3) organize and facilitate collaborative efforts on program
evaluation, engagement, and communication, and 4) foster a learning collaborative in leading and coordinating
trans-CUSP2CT research.
We are uniquely positioned to be the DECC for CUSP2T leveraging strong track record in: (i) implementing
health equity centers and consortia (e.g. Dr. Odedina is MPI on NCI CRCHD U54 CaRE2 Health Equity Center
and contact MPI for a newly awarded Department of Defense iCCaRE for Black Men Consortium); (ii) leading
statistics and data management coordinating center effort in cancer trials (e.g., Mayo is the Statistics and Data
Management Center of the Alliance for Clinical Trials in Oncology (Alliance) including both interventional and
NCORP grants); (ii) leading standardization and interoperability for practice and research (e.g., Mayo has been
contributing to the NCI Terminology Service Development Effort and part of the data harmonization efforts in the
NCATS Clinical Data to Health (CD2H)). Additionally, we have strong institutional priorities aligning with
CUSP2CT with existing infrastructure and resources supporting the CUSP2CT mission.
项目摘要
尽管美国人口的总死亡率和癌症发病率有所下降,但癌症护理方面的差距
在很大程度上仍然存在于某些群体中。造成这些国家缺乏比例代表制的一个关键障碍
小组的问题是缺乏采用科学、严格的方法和执行战略的专注努力
以提高他们在临床试验中的比例代表性。联系在一起的代表不足的人口
临床试验(CUSP2CT)计划旨在实施和评估多层次和文化定制的推广
以及教育干预措施,这将增加临床试验中代表性不足人群的收益。至
支持CUSP2CT计划,我们计划成为数据、评估和协调中心(DECC)
支持数据和评估活动,并协调合作学习,以减轻关键
癌症差异的障碍。具体地说,我们将与CUSP2CT U01调查人员合作并互动
必要时与NCI相关工作人员和其他利益攸关方合作开展以下活动:1)
通过科学领导建立有效和高效的行政程序和基础设施,
组织流程、治理结构、有效监督和业务程序以实现
CUSP2CT研究的最佳沟通、协作、协调和传播,2)促进
并协调整个CUSP2CT计划的数据收集和管理,以促进证据生成
方法和工具的快速传播,3)组织和促进方案的协作工作
评估、参与和沟通,以及4)在领导和协调方面促进学习协作
跨CUSP2CT研究。
我们具有独一无二的优势,能够成为CUSP2T的DECC,在以下方面利用强大的跟踪记录:(I)实施
卫生公平中心和联盟(例如,Odedina博士是NCI CRCHD U54 Care2卫生公平中心的MPI
并联系MPI以获得新授予的国防部黑人联合会(ICCaRE For Black Man Consortium);(Ii)领导
癌症试验中的统计和数据管理协调中心的工作(例如,Mayo是统计和数据
肿瘤学临床试验联盟(联盟)管理中心,包括介入和
NCORP赠款);(2)实践和研究的领先标准化和互操作性(例如,Mayo已
促进NCI术语服务开发工作和数据协调工作的一部分
NCATS临床健康数据(CD2H))。此外,我们有强大的机构优先事项,以符合
CUSP2CT以及支持CUSP2CT任务的现有基础设施和资源。
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)
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HONGFANG LIU其他文献
HONGFANG LIU的其他文献
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{{ truncateString('HONGFANG LIU', 18)}}的其他基金
Learning Precision Medicine for Rare Diseases Empowered by Knowledge-driven Data Mining
通过知识驱动的数据挖掘学习罕见疾病的精准医学
- 批准号:
10732934 - 财政年份:2023
- 资助金额:
$ 55.44万 - 项目类别:
Secondary use of EMRs for surgical complication surveillance
EMR 二次用于手术并发症监测
- 批准号:
10202598 - 财政年份:2015
- 资助金额:
$ 55.44万 - 项目类别:
Secondary use of EMRs for surgical complication surveillance
EMR 二次用于手术并发症监测
- 批准号:
10001498 - 财政年份:2015
- 资助金额:
$ 55.44万 - 项目类别:
Secondary use of EMRs for surgical complication surveillance
二次使用 EMR 进行手术并发症监测
- 批准号:
9251814 - 财政年份:2015
- 资助金额:
$ 55.44万 - 项目类别:
Secondary use of EMRs for surgical complication surveillance
EMR 二次用于手术并发症监测
- 批准号:
10471838 - 财政年份:2015
- 资助金额:
$ 55.44万 - 项目类别:
Semi-structured Information Retrieval in Clinical Text for Cohort Identification
用于队列识别的临床文本中的半结构化信息检索
- 批准号:
8928647 - 财政年份:2014
- 资助金额:
$ 55.44万 - 项目类别:
Semi-structured Information Retrieval in Clinical Text for Cohort Identification
用于队列识别的临床文本中的半结构化信息检索
- 批准号:
8811565 - 财政年份:2014
- 资助金额:
$ 55.44万 - 项目类别:
Natural language processing for clinical and translational research
用于临床和转化研究的自然语言处理
- 批准号:
9033918 - 财政年份:2013
- 资助金额:
$ 55.44万 - 项目类别:
Natural language processing for clinical and translational research
用于临床和转化研究的自然语言处理
- 批准号:
8920720 - 财政年份:2013
- 资助金额:
$ 55.44万 - 项目类别:
Natural language processing for clinical and translational research
用于临床和转化研究的自然语言处理
- 批准号:
8640959 - 财政年份:2013
- 资助金额:
$ 55.44万 - 项目类别:
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