Ambulatory Methods for Measuring Cognitive Change

测量认知变化的流动方法

• 批准号: 10213642
• 负责人: Vernon M Chinchilli
• 金额: $ 59.04万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10213642
• 关键词: Address; Age; Behavioral; Benchmarking; Categories; Cellular Phone; Cognitive; Communities; Computer software; Data; Data Analyses; Data Reporting; Data Security; Data Set; Development; Devices; Early Intervention; Ensure; Evaluation; Family; Gender; Gold; Health Care Costs; Impaired cognition; Infrastructure; Laboratories; Life; Location; Measurement; Measures; Medicine; Metadata; Methods; Modeling; Monitor; Neurologic; Noise; Patient Self-Report; Pennsylvania; Performance; Persons; Phase; Population; Prevention; Preventive measure; Probability; Procedures; Process; Property; Psychometrics; Quality of life; Questionnaires; Recommendation; Research; Research Design; Research Personnel; Risk Factors; Sampling; Secure; Series; Statistical Data Interpretation; Subgroup; Symptoms; Testing; United States National Institutes of Health; Universities; Validity and Reliability; Work; age effect; base; clinical practice; cognitive change; cognitive function; cognitive testing; college; cost effective; data access; data acquisition; data collection site; data de-identification; data infrastructure; data interoperability; data management; data privacy; data repository; data sharing; data standards; data structure; data submission; demographics; design; effective therapy; evaluation/testing; handheld mobile device; human old age (65+); improved; indexing; individual variation; innovation; instrument; iterative design; mobile application; mobile computing; modifiable risk; next generation; novel; performance tests; prevent; prognostic value; psychosocial; quality assurance; response; sensor; sensor technology; stability testing; standard measure

ABSTRACT The Pennsylvania State University, along with its subcontractors, is submitting this proposal in response to “RFA-AG-18-012 Mobile Monitoring of Cognitive Change” (denoted as M2C2). The Data and Statistical Analysis Core for the proposed Project will ensure data interoperability, secure data access, and maintain a uniform data structure, permit data sharing, and oversee data privacy concerns. The significance and innovation of the Data Core for this Project lies in providing (1) a secure data repository for managing data from the M2C2 infrastructure and (2) a rigorous evaluation of reliability and validity of cognitive tests for both between-person and within-person study designs. The Data Core will serve the M2C2 Project by pursuing two primary aims, each of which has multiple sub-aims. Aim 1: Operate a Central Data Repository. Develop and operate a central data repository for the M2C2 data, including cognitive tests collected by mobile devices and in-person, self-report, device meta-data (e.g., device model, OS version), and data passively collected by smartphone sensors (e.g., ambient noise, GPS location). Aim 2: Conduct analyses to evaluate the psychometric properties and validity of mobile cognitive tests. Provide oversight of all analytics for the M2C2 project and evaluate results against established benchmarks, ensure that evaluations of psychometric test properties correct for bias caused by generalized age effects through stratified analysis and statistical control, and evaluate invariance across age, gender and racial categories to establish validity for population subgroups. The focus of Aim 2 is the conduct of statistical analyses to evaluate the psychometric properties for the test instruments developed in the Project. This includes the evaluation of test reliability by examining the short-term stability of test performance, assess construct validity of candidate mobile tests against gold-standard measures (e.g., NIH Toolbox), and evaluate longitudinal validity of mobile cognitive tests by examining sensitivity for detecting both short-term and long-term cognitive change. In later phases of the Project, the Data Core will replicate reliability and validity in an independent, nationally representative probability based sample, and create nationally representative norms for baseline test performance, and for change in test performance (longitudinal norms). 1

摘要 宾夕法尼亚州立大学与其分包商沿着提交本提案，以回应 “RFA-AG-18-012认知变化的移动的监测”（表示为M2 C2）。数据和统计 拟议项目的分析核心将确保数据互操作性，安全的数据访问，并保持 统一数据结构，允许数据共享，并监督数据隐私问题。的意义和 本项目数据核心的创新在于提供（1）用于管理数据的安全数据存储库 从M2 C2基础设施和（2）严格评估的可靠性和有效性的认知测试， 人与人之间的研究设计。数据核心将通过以下两个方面服务于M2 C2项目： 主要目标，每个目标又有多个子目标。 目标1：操作中央数据存储库。为M2 C2数据开发和运行中央数据存储库， 包括由移动的设备收集的认知测试和亲自、自我报告、设备元数据（例如，装置 型号、OS版本），以及由智能手机传感器被动收集的数据（例如，环境噪声、GPS定位）。 目的2：对移动的认知的心理测量学特性和效度进行分析 试验.对M2 C2项目的所有分析进行监督，并根据既定的 基准，确保对心理测量测试属性的评估纠正由广义 通过分层分析和统计控制的年龄影响，并评估年龄、性别和 种族类别，以建立人口亚组的有效性。 目标2的重点是进行统计分析，以评估测试的心理测量特性 项目中开发的工具。这包括通过检查短期的测试可靠性的评估 测试性能稳定性，评估候选移动的测试相对于金标准的结构效度 测量（例如，通过检验移动的认知测验的纵向效度， 检测短期和长期认知变化的灵敏度。在项目后期，数据 核心将在一个独立的、具有全国代表性的基于概率的样本中复制可靠性和有效性， 并为基线测试性能和测试性能的变化创建具有全国代表性的规范 （纵向标准）。 1