Integrating Genomic Risk Assessment for Chronic Disease Management in a Diverse Population
整合基因组风险评估以进行不同人群的慢性病管理
基本信息
- 批准号:10619261
- 负责人:
- 金额:$ 14.44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-07-01 至 2025-04-30
- 项目状态:未结题
- 来源:
- 关键词:AddressAfricanAfrican AmericanAfrican American populationAlabamaAsianAttitudeBioethicsBiomedical ResearchChronic DiseaseCommunicationCommunitiesDataDevelopmentDisadvantagedDiseaseDisease ManagementEarly InterventionEffectivenessElectronic Medical Records and Genomics NetworkEthnic groupEuropeanFocus GroupsFosteringFutureGenesGenetic ScreeningGenomic medicineGenomicsHealthHealth SciencesHealthcareHispanicHuman Genome ProjectHuman ResourcesIndividualInformation DisseminationInfrastructureInstitutionInterventionInvestigationJournalsMedicalMethodologyMinority GroupsMovementNative AmericansParticipantPatient RecruitmentsPeer ReviewPersonal Genetic InformationPersonsPopulationPopulation HeterogeneityPrivacyPublic HealthPublicationsRadioReligion and SpiritualityResearchResearch ProposalsRisk AssessmentRoleRuralSiteSocietiesSourceStigmatizationSurveysTechnologyTelevisionTestingTimeTrustUnderserved PopulationUnited Statescaucasian Americancontextual factorsdemographicsdistrustethical legal social implicationimprovedracial disparityrecruitresponsescreeningsocialsocial mediatargeted treatmenttrustworthiness
项目摘要
ABSTRACT
This bioethics focused research proposal builds upon pilot data gathered through
eMERGE site-specific ELSI research. That research compared rural and urban Alabama
Genomic Health Initiative (AGHI) participants from African and European ancestry on a number
of issues related to obstacles and attractions to participation in genomic research. Pilot data
suggested interesting and stark differences in trusted sources of information among these
populations, warranting deeper investigation. In this study, we will focus our investigation more
narrowly on trusted sources of information, while simultaneously expanding our recruitment to a
national audience.
Utilizing both qualitative focus group and quantitative survey data, we will explore key
sources of medical information trusted by individuals from White and African American racial
backgrounds, including the role of a variety of community leaders and spokespersons, as well as
the role of word-of-mouth, venues for dissemination of information, and effective messaging
platforms (e.g., religious organizations, social media, television or radio, etc.). In addition, we will
identify key contextual factors most salient in establishing trust for participation in genomic
screening within each population. Findings will be confirmed using a quantitative survey, which
will also look for regional contexts among both White and African American participants. Finally,
we will determine whether there are statistically significant differences in trusted sources of a)
medical and b) genomic screening information. We will do this through a quantitative survey
developed on the basis of preliminary focus group findings.
The results of this study will significantly enhance future genomic research by contributing
to the recruitment infrastructure necessary to fully diversify participant demographics. The data
from this study will result in two deliverables. First, data will be analyzed and disseminated to the
larger eMERGE consortium, as well as through publication in a peer-reviewed scientific journal.
Second, the data and methodology will provide a basis for development of an R21 or R01 seeking
to identify contextual factors influencing trusted sources of information among Asian, Hispanic,
Native American, and other demographic groups with specific cultural norms.
摘要
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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JAMES J CIMINO其他文献
JAMES J CIMINO的其他文献
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{{ truncateString('JAMES J CIMINO', 18)}}的其他基金
Integrating Genomic Risk Assessment for Chronic Disease Management in a Diverse Population
整合基因组风险评估以进行不同人群的慢性病管理
- 批准号:
10852376 - 财政年份:2023
- 资助金额:
$ 14.44万 - 项目类别:
Improving Electronic Health Record Usability and Usefulness with a Patient-Specific Clinical Knowledge Base
通过患者特定的临床知识库提高电子健康记录的可用性和实用性
- 批准号:
10155135 - 财政年份:2021
- 资助金额:
$ 14.44万 - 项目类别:
CRITICAL: Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning
关键:重症监护转化科学、信息学、综合分析和学习的协作资源
- 批准号:
10461229 - 财政年份:2021
- 资助金额:
$ 14.44万 - 项目类别:
CRITICAL: Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning
关键:重症监护转化科学、信息学、综合分析和学习的协作资源
- 批准号:
10673051 - 财政年份:2021
- 资助金额:
$ 14.44万 - 项目类别:
Improving Electronic Health Record Usability and Usefulness with a Patient-Specific Clinical Knowledge Base
通过患者特定的临床知识库提高电子健康记录的可用性和实用性
- 批准号:
10458471 - 财政年份:2021
- 资助金额:
$ 14.44万 - 项目类别:
CRITICAL: Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning
关键:重症监护转化科学、信息学、综合分析和学习的协作资源
- 批准号:
10300398 - 财政年份:2021
- 资助金额:
$ 14.44万 - 项目类别:
Integrating Genomic Risk Assessment for Chronic Disease Management in a Diverse Population
整合基因组风险评估以进行不同人群的慢性病管理
- 批准号:
10650794 - 财政年份:2020
- 资助金额:
$ 14.44万 - 项目类别:
Integrating Genomic Risk Assessment for Chronic Disease Management in a Diverse Population
整合基因组风险评估以进行不同人群的慢性病管理
- 批准号:
10207721 - 财政年份:2020
- 资助金额:
$ 14.44万 - 项目类别:
Integrating Genomic Risk Assessment for Chronic Disease Management in a Diverse Population
整合基因组风险评估以进行不同人群的慢性病管理
- 批准号:
10447819 - 财政年份:2020
- 资助金额:
$ 14.44万 - 项目类别:
Semantic and Machine Learning Methods for Mining Connections in the UMLS
UMLS 中挖掘连接的语义和机器学习方法
- 批准号:
7299922 - 财政年份:2007
- 资助金额:
$ 14.44万 - 项目类别:
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