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

抽象的 宾夕法尼亚州立大学及其分包商正在提交此提案，以回应 “ RFA-AG-18-012认知变化的移动监控”（称为M2C2）。数据和统计 拟议项目的分析核心将确保数据互操作性，安全数据访问并维护 统一的数据结构，允许数据共享和监督数据隐私问题。意义和 该项目的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M2C2基础设施和（2）对两者的认知测试的可靠性和有效性进行严格评估 人际关系和人际研究设计。数据核心将通过追求两个来为M2C2项目服务 主要目的，每个目标都有多个子iams。 AIM 1：操作中央数据存储库。为M2C2数据开发和操作中央数据存储库， 包括由移动设备和面对面，自我报告，设备元数据收集的认知测试（例如设备 型号，OS版本）和由智能手机传感器（例如，环境噪声，GPS位置）被动收集的数据。 目标2：进行分析以评估移动认知的心理测量特性和有效性 测试。提供M2C2项目的所有分析的监督，并对既定的结果进行评估 基准测试，确保对心理测试属性的评估正确对由广义造成的偏差正确 通过分层分析和统计控制的年龄效应，并评估跨年龄，性别和 种族类别以建立人口亚组有效性。 AIM 2的重点是进行统计分析以评估测试的心理测量特性 项目中开发的仪器。这包括通过检查短期来评估测试可靠性 测试性能的稳定性，评估构造的候选移动测试的有效性针对金标准 措施（例如NIH工具箱），并通过检查移动认知测试的纵向有效性 检测短期和长期认知变化的敏感性。在项目的后期阶段，数据 核心将在独立的，全国代表性的样本中复制可靠性和有效性， 并为基线测试绩效创建全国代表性的规范，并为测试性能的变化 （纵向规范）。 1