Core F: Training and Quality Assurance Core
Core F: Training and Quality Assurance Core
批准号:
10555695
负责人:
Boon Lead Tee
金额:
$26.95万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-07-01 至 2028-06-30
关键词:
AdoptedAlzheimer&aposs DiseaseAmericanAsianAssessment toolBig DataBiological MarkersCertificationChineseClinicalCognitiveCollaborationsCopyrightDataData AnalysesData CollectionEducational process of instructingEducational workshopElectronicsEnsureFeedbackFutureInfrastructureInternationalInterviewKoreansLanguageLife StyleManualsMeasuresMinority GroupsModelingMonitorNeuropsychologyParticipantPeriodicalsPopulationPopulation HeterogeneityPositioning AttributePredispositionProceduresProcessProtocols documentationPublishingQualifyingQuality ControlQuestionnairesResearchRiskScientistSiteStandardizationStructureSurveysTrainingTraining ProgramsTraining and EducationUnderrepresented PopulationsVideo RecordingVietnameseWorkcohortdata managementdata standardsefficacy evaluationhealth care disparitymeetingsmemberoutreachpreventprogramsquality assurancerecruitresponsesocial health determinantsuser-friendlyweb site
中文摘要
ACAD培训和质量保证核心
摘要
ACAD培训和质量保证(TQA)的核心任务是建立精确和统一的
数据收集和管理中的程序。TQA核心强调1)质量保证
(Qa),其重点是制定和执行措施,以防止数据收集和
管理和2)质量控制(QC),其重点是建立基础设施以有效地确定
并改正错误。为实现其目标,TQA核心将建立QA程序以进行教育和培训
ACAD团队成员,并制定多项QC措施,如双重评分和识别
用于识别和纠正错误的离群值。通过以标准化方式可靠地收集和管理数据,
ACAD将产生高质量、可协调的数据,这些数据可以产生可复制的科学发现。在……里面
此外,TQA核心打算调查ACAD措施的总体特定误差易感性
采用定量和定性分析相结合的研究方法。最后,通过制作ACAD培训材料供管理人员使用
对于合格的临床医生和研究科学家可用的认知测量,ACAD TQA核心将
增加不同人群对研究的参与,减少医疗保健差距。
英文摘要
ACAD Training and Quality Assurance Core
ABSTRACT
The ACAD Training and Quality Assurance (TQA) core is tasked with building precise and uniform
procedures in the collection of data and its management. The TQA core emphasizes 1) Quality Assurance
(QA), which concentrates on developing and enforcing measures to prevent errors in data collection and
management and 2) Quality Control (QC), which focuses on building infrastructure to effectively identify
and correct errors. To accomplish its aims, the TQA core will establish QA procedures to educate and train
ACAD team members and develop multiple QC measures such as double scoring and identification of
outliers to identify and rectify errors. By reliably collecting and managing data in a standardized manner,
ACAD will produce high-quality harmonizable data that can generate replicable scientific findings. In
addition, the TQA core intends to investigate population-specific error susceptibilities of ACAD measures
using quantitative and qualitative analyses. Finally, by making ACAD training materials for administration
of cognitive measures available to qualified clinicians and research scientists, the ACAD TQA core will
increase participation of diverse populations in research and reduce healthcare disparities.
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