Optimizing Implementation in Cancer Control: OPTICC - Admin Core
Optimizing Implementation in Cancer Control: OPTICC - Admin Core
批准号:
10251177
负责人:
BRYAN J. WEINER
金额:
$33.63万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-20 至 2024-08-31
关键词:
AdministratorAdvisory CommitteesAreaCancer CenterCancer ControlCancer Control ResearchCommittee MembersCommunicationCommunitiesComputer softwareDevelopmentEducational StatusEducational workshopEnsureEnvironmentEvaluationFosteringFoundationsGoalsGrowthIndividualInstitutionLaboratoriesLanguageLeadMeasuresMentorsMethodological StudiesMethodologyMethodsMonitorOutcomeParticipantPathway interactionsPersonsPopulationPostdoctoral FellowResearchResearch PersonnelResourcesScienceScientistSpecialistStructureTimeLineTrainingTraining SupportUpdateexperiencegraduate studenthealth disparityimplementation scienceinnovationmassive open online coursesmeetingsmultidisciplinaryoperationoutreachpeer coachingprogramsrelational databaserepositoryskillsstudent mentoringsynergismtoolvirtual
中文摘要
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英文摘要
ADMINISTRATIVE CORE SUMMARY
The Administrative (Admin) Core will form the foundation of the Optimizing Implementation Science in Cancer
Control (OPTICC) Center. The overarching goal of the Admin Core is to maximize the OPTICC Center’s impact
on implementation science (IS) and cancer control through informing, supporting, and monitoring progress of
OPTICC’s research agenda. The Admin Core has four specific aims. Aim 1 is to maximize OPTICC’s operational
efficiency; the Admin Core will provide programmatic and administrative support for all Center investigators, the
Research Program Core, and the Implementation Laboratory. The Admin Core will facilitate communications
between the Cores. The Admin Core will support training in team science for all co-investigators and Study Leads
in order to foster integration among our multi-disciplinary collaborators. Aim 2 is to grow the capacity of
investigators to apply new IS optimization methods. We will market three different levels of training and mentoring
opportunities. The three levels of training will include 1) one-on-one peer mentoring for OPTICC Study Leads,
including structured support for follow-on proposals as these studies are completed, 2) training and technical
assistance for post-doctoral fellows, new investigators, and established investigators new to IS during proposal
development, and 3) general didactic sessions on IS methods for a broad audience, including graduate students.
We will also collaborate with other ISCCCs to foster a network of national mentoring opportunities. To increase
the OPTICC Center’s impact on reducing health disparities, we will encourage our trainees to develop IS
proposals that focus on reaching populations experiencing health disparities, partnering with institutions that
serve populations experiencing health disparities, or both. Aim 3 is to foster synergy across the ISCCCs, the IS
research community, and key stakeholders. The Admin Core will lead activities related to disseminating OPTICC
research findings to the research community and participating in and hosting ISCCC meetings and workshops.
The Admin Core will also develop a searchable centralized repository of methodological tools and resources
developed and refined through OPTICC studies, along with plain-language summaries of study findings with
evidence organized by OPTICC’s causal pathway diagrams and massive open on-line courses. Aim 4 is to
evaluate OPTICC’s impact. Each Core will have an evaluation plan with metrics specific to that Core’s aims and
goals. In addition, we will evaluate the value of participating in OPTICC among Center co-investigators, trainees,
staff, Implementation Laboratory Partners, and Scientific Advisory Board and Stakeholder Advisory Committee
members Collectively, the expected outcomes of the Admin Core are an environment of research excellence,
support for the innovative methodological studies proposed and yet to be developed by OPTICC investigators
and collaborators, and growth in research capacity and skills related to IS optimization methods in cancer control.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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海外基金