Leveraging the national infrastructure of trusted organizations to increase representation of Latinos in dementia research
利用受信任组织的国家基础设施来增加拉丁裔在痴呆症研究中的代表性
基本信息
- 批准号:10407564
- 负责人:
- 金额:$ 80.69万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-06-01 至 2024-03-31
- 项目状态:已结题
- 来源:
- 关键词:AcademiaAddressAdministratorAlzheimer&aposs DiseaseCOVID-19ChurchCitiesClinicalClinical TrialsCollaborationsCommunitiesConsensusDementiaDiseaseEnrollmentFamilyFocus GroupsFosteringFundingGeographic LocationsGuidelinesHealthHispanicImmigrationInfrastructureInterdisciplinary StudyInterventionInterviewKnowledgeLanguageLatinoLatino PopulationLiteratureMalignant NeoplasmsModelingNursesParticipantPerceptionPopulationPrivatizationProcessPublic HealthRecruitment ActivityResearchResearch PersonnelResource AllocationResourcesRoleScienceSiteStructureTimeTrustUnderrepresented PopulationsUnited StatesWorkadvocacy organizationsbasecommunity cliniccommunity engagementcostethnic minorityexperiencehealth disparityimplementation scienceimprovedmembernovelracial and ethnicrecruitresearch study
项目摘要
Abstract
The underrepresentation of Latinos in dementia research is a public health issue because Latinos are one and
a half times as likely to have Alzheimer's disease than Whites, yet less then 1% of study participants in clinical
trials on dementia are Latino. This underrepresentation reduces the generalizability of findings and hinders the
understanding of the mechanisms of dementia, further widening health disparities. Specific efforts to recruit
Latinos in dementia research have leveraged community engagement strategies involving partnerships
between researchers and community-based organizations (CBOs). The involvement of trusted CBOs was
critical to foster trust in researchers. However, community engagement strategies take a long time to develop
and are limited to specific geographic areas (e.g., cities). A missed opportunity is the fact that many trusted
CBOs have national reach. Partnering with trusted CBOs that have national reach could potentially provide the
infrastructure needed to rapidly implement scalable recruitment strategies nationwide. To leverage the
infrastructures of trusted CBOs, we propose to establish a consortium driven by Latino stakeholders and
involving national-reach CBOs that are trusted within Latino communities. In preliminary studies we already
identified the National Association of Hispanic Nurses (NAHN) and the Alzheimer's Association (ALZ) as
relevant CBOs with national reach, that are well-trusted in Latino communities. In this new paradigm, the
synergistic endorsements of the NAHN and ALZ will foster Latinos' trust and participation in studies supported
by the consortium. We aim to establish a Consortium in 4 sites of a multi-site NIA-funded clinical trial drawing
upon the expertise of our multidisciplinary research team, which includes collaborators from the NAHN and the
ALZ, a Latino messaging designer and a Latino organizational consultant, plus researchers with expertise in
implementation science and community engagement strategies for recruitment in Latino communities. We will
use the Collective Impact conceptual model and the Ford et al. recruitment framework to guide our work. Our
research has 3 specific aims: 1) Finalize facilitators and barriers to establishing the recruitment consortium, 2)
Build and finalize the resources of the recruitment consortium and 3) Establish and evaluate the Consortium
recruitment intervention in a large clinical trial. The proposed project will help accelerate needed participation
of Latinos in dementia research. Its approach can be replicated in other sites nationwide and adapted to
accelerate recruitment of other racial/ethnic minorities and other underrepresented groups into dementia
research and in other domains.
摘要
项目成果
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CARL V HILL其他文献
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{{ truncateString('CARL V HILL', 18)}}的其他基金
Leveraging the national infrastructure of trusted organizations to increase representation of Latinos in dementia research
利用受信任组织的国家基础设施来增加拉丁裔在痴呆症研究中的代表性
- 批准号:
10606520 - 财政年份:2021
- 资助金额:
$ 80.69万 - 项目类别:
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