Core F: Training and Quality Assurance Core

核心 F：培训和质量保证核心

• 批准号: 10555695
• 负责人: Boon Lead Tee
• 金额: $ 26.95万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2028-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10555695
• 关键词: Adopted; Alzheimer' s Disease; American; Asian; Assessment tool; Big Data; Biological Markers; Certification; Chinese; Clinical; Cognitive; Collaborations; Copyright; Data; Data Analyses; Data Collection; Educational process of instructing; Educational workshop; Electronics; Ensure; Feedback; Future; Infrastructure; International; Interview; Koreans; Language; Life Style; Manuals; Measures; Minority Groups; Modeling; Monitor; Neuropsychology; Participant; Periodicals; Population; Population Heterogeneity; Positioning Attribute; Predisposition; Procedures; Process; Protocols documentation; Publishing; Qualifying; Quality Control; Questionnaires; Research; Risk; Scientist; Site; Standardization; Structure; Surveys; Training; Training Programs; Training and Education; Underrepresented Populations; Video Recording; Vietnamese; Work; cohort; data management; data standards; efficacy evaluation; health care disparity; meetings; member; outreach; prevent; programs; quality assurance; recruit; response; social health determinants; user-friendly; web site

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.

ACAD培训和质量保证核心 摘要 ACAD培训和质量保证（TQA）核心的任务是建立精确和统一的 数据收集和管理程序。TQA核心强调1）质量保证 (QA)，其重点是制定和执行防止数据收集错误的措施， 2）质量控制（QC），重点是建立基础设施，以有效地识别 并纠正错误。为了实现其目标，TQA核心将建立QA程序，以教育和培训 ACAD团队成员并制定多项QC措施，例如双重评分和识别 异常值来识别和纠正错误。通过以标准化方式可靠地收集和管理数据， ACAD将产生高质量的可协调的数据，这些数据可以产生可复制的科学发现。在 此外，TQA核心计划调查ACAD测量的人群特异性误差敏感性 使用定量和定性分析。最后，通过制作ACAD管理培训教材， 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。