METHODOLOGY, DATA MANAGEMENT AND ANALYSIS CORE
方法论、数据管理和分析核心
基本信息
- 批准号:8124916
- 负责人:
- 金额:$ 12.86万
- 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:AddressAgeAged, 80 and overAgingArchivesAreaBiometryCaringCensusesCessation of lifeCharacteristicsClientClinicalCommunitiesComputer softwareDataData CollectionData ReportingData SetData SourcesDatabasesDevelopmentDiseaseDrug KineticsEducational process of instructingElderlyEligibility DeterminationFacultyFoundationsFrail ElderlyFunctional disorderFundingFutureGenerationsGenomicsGeriatricsGerontologyHeadHealthImprove AccessIndividualInstitutesInstructionInternationalInterventionLeftLinkLiteratureLong-Term CareMaintenanceMeasurementMeasuresMedicaidMedicare claimMethodologyMethodsMichiganModelingNursing HomesOutcomeOutcomes ResearchParticipantPatternPersonal SatisfactionPersonsPhasePhenotypePoliciesPopulationPredisposing FactorRandomizedResearchResearch DesignResearch PersonnelResearch Project GrantsResourcesRetirementRoleSamplingSecondary toSelection BiasServicesSourceSurvey MethodologySurveysTechniquesTrainingTraining SupportUnited StatesUniversitiesVeteransVital StatisticsWorkage relatedbasecareercommunity based carecomputerizedcostdata managementdatabase designdesignend of lifeexperiencefrailtyhealth economicsimprovedindexinginstrumentinterestinvestigator traininglongitudinal analysismiddle ageoperationpatient home carepharmacodynamic modelprogramsresearch and developmentresearch studysocialsuccesstherapy designtool
项目摘要
The Methodology, Data Management and Analysis Core (MDMAC) will provide technical support and
training of investigators developing or performing intervention and other geriatric research projects
examining the aging phenotype and outcomes research. It will also develop new instruments, methodologies,
and data archives to enable future studies. Thus the MDMAC will both address techniques for appropriate
design and execution of current experiments and build the foundation for future research studies. Building on
our experience with the UM Pepper Center, the MDMAC will address the needs of OAIC investigators, and
especially junior investigators, for assistance in the design of intervention experiments, and maintenance,
analysis, and interpretation of their data.
We propose under this Core Development Project to create and maintain over a two year period a unique data
set detailing long-term care in the State of Michigan, as part of the OAIC Methodology, Data Management
and Analysis Core (MDMAC). The Michigan Master Long-Term Care Data Archive (MMDA), to be
developed in a phased plan over several years, will be available to the UM research community and
particularly to junior researchers in aging. It will link multiple disparate but critical data sources describing
long-term care (LTC), including longitudinal descriptions of individuals in institutional and community-based
care programs, with program eligibility, vital statistics, community characteristics, cost information, census
information, etc. The proposed MMDA will expand a successful four year partnership between the State of
Michigan and the UM Institute of Gerontology (IoG) which has demonstrated the value of the data sets
proposed as the core of the new archive. Thus, the funding of a core capability, including both data and
expertise, has the potential to encourage and improve research into clinical- and policy-relevant research in
the delivery of effective and efficient long-term care. As such, it can create a visible focal point within UM
for researchers involved in study of Michigan's publicly-funded LTC services and a model of how other
states can develop such archives and these data can be used nationally and internationally.
方法,数据管理和分析核心(MDMAC)将提供技术支持和
培训研究人员开发或执行干预和其他老年研究项目的培训
检查衰老表型和结果研究。它还将开发新的工具,方法论,
和数据档案以实现未来的研究。因此,MDMAC都将解决适当的技术
设计和执行当前的实验,并为未来的研究奠定基础。建立
我们在UM胡椒中心的经验,MDMAC将满足OAIC调查人员的需求,并
特别是初级研究人员,以帮助设计干预实验和维护,
分析和对数据的解释。
我们建议在这个核心开发项目下创建和维护两年的独特数据
作为OAIC方法的一部分,设置密歇根州的长期护理,数据管理
和分析核心(MDMAC)。密歇根州大师长期护理数据存档(MMDA),
在几年多年的分阶段计划中开发,将为UM研究社区和
特别是对于衰老的初级研究人员。它将链接多个不同但关键的数据源描述
长期护理(LTC),包括对机构和社区中个人的纵向描述
护理计划,计划资格,重要统计,社区特征,成本信息,人口普查
信息等。拟议的MMDA将在状态之间扩大成功的四年合作伙伴关系
密歇根州和UM老年研究所(IOG)证明了数据集的价值
提议为新档案的核心。因此,核心能力的资金,包括数据和
专业知识有可能鼓励和改善有关临床和政策与与政策相关的研究的研究
提供有效有效的长期护理。因此,它可以在UM内创建一个可见的焦点
对于参与密歇根州公共资助LTC服务的研究的研究人员以及其他如何
各州可以开发此类档案,这些数据可以在国内和国际上使用。
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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Andrzej T Galecki其他文献
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