Ambulatory Methods for Measuring Cognitive Change

测量认知变化的流动方法

• 批准号: 10426146
• 负责人: Scott Thomas Yabiku
• 金额: $ 261.55万
• 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 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10426146
• 关键词: Attention; Behavioral; Cellular Phone; Cognitive; Cognitive aging; Communities; Computer software; Consensus; Data; Data Analyses; Data Collection; Data Security; Data Set; Development; Devices; Diagnostic; Early Intervention; Ecological momentary assessment; Ensure; Event; Failure; Family; Health Care Costs; Impaired cognition; Infrastructure; Interview; Laboratories; Lead; Life; Location; Maintenance; Measurement; Measures; Methods; Modeling; Neurologic; Participant; Personal Computers; Persons; Population; Prevention; Preventive measure; Procedures; Protocols documentation; Quality of life; Research; Research Design; Research Personnel; Research Project Grants; Respondent; Risk; Risk Factors; Running; Sampling; Secure; Standardization; Surveys; Symptoms; System; Tablets; Technology; Text; Time; Work; base; clinical practice; cognitive change; cognitive function; cognitive testing; cost; cost effective; data infrastructure; design; effective therapy; experience; flexibility; handheld mobile device; high standard; human old age (65+); improved; innovation; interoperability; mobile application; mobile computing; modifiable risk; next generation; operation; participant retention; patient engagement; prevent; prospective; research facility; response; sensor; sensor technology; smartphone Application; study population

Project Summary Smartphones bring tremendous new opportunities to collect data. These technologies offer capabilities that allow researchers to overcome many limitations and weaknesses in prior modes of data collection. However, smartphone data collection has distinct challenges that other data collection modes do not, particularly for deploying cognitive assessments, which requires stricter standardization than administration of survey questions. Challenges include participants using their own devices, data security, development costs, participant engagement, and representative study populations. Researchers have used surveys, interviews, and diagnostic assessments for decades, but with mobile device research, most of the approaches have not yet been codified and shared. Many high quality solutions exist, but researchers have independently developed these procedures, sometimes with duplication of effort and without interoperability beyond a single team. For conducting research with mobile devices, the field of cognitive aging research urgently needs a model platform that integrates the tremendous innovations in the field over the past decade and provides a unified solution to the research community. The Technical Core delivers this solution through the following aims. Aim 1: Augment an existing Android app and build an iOS app that permits researchers to a conduct a variety of cognitive tests (both graphical and text-based), securely store responses from participants, and securely transmit responses to a data infrastructure for processing, analysis, and distribution. Aim 2: Build upon an existing infrastructure to develop a system that administers smartphone data collection, aggregates and prepares datasets, and allows researchers to query datasets in real time or download data for analysis. Smartphone data collection administration includes receiving responses from devices as well as pushing out new measures to participants' devices in response to previous responses. Aim 3: Execute an operation plan for running and maintaining this integrated smartphone and data infrastructure system. This plan includes procedures for handling routine maintenance, backups, and unexpected events (network or hardware failures). The operation plan will support not only the research project outlined in this proposal, but it is also designed to be a platform for projects from other researchers in the cognitive aging field. The significance of this Technical Core is that it synthesizes many of the innovative solutions cognitive aging researchers have developed to use mobile devices in research, and it makes these solutions available to the entire research community. The innovation is that these solutions are open, flexible, and user-centered: these features maximize engagement from both researchers and study participants. The impact upon the field is through the deliverable product: a suite of mobile apps and robust server software for conducting cognitive aging research.

项目摘要 智能手机带来了收集数据的巨大新机会。这些技术提供了 使研究人员能够克服以往数据收集模式中的许多限制和弱点。然而， 智能手机的数据收集面临着其他数据收集模式所没有的明显挑战，尤其是在 部署认知评估，这需要比调查管理更严格的标准化 问题。挑战包括参与者使用自己的设备、数据安全、开发成本、 参与者参与度和代表性研究人群。研究人员使用了调查、访谈、 和诊断评估，但随着移动设备的研究，大多数方法都没有 但却被编纂和分享了。存在许多高质量的解决方案，但研究人员已经独立开发了 这些程序有时会重复工作，并且不能超越单个团队的互操作性。 对于使用移动设备进行研究，认知老化研究领域迫切需要一个模型 平台集成了过去十年来该领域的巨大创新，并提供了统一的 为研究界提供解决方案。技术核心通过以下目标交付此解决方案。目标 1：扩展现有的Android应用程序，并构建一款iOS应用程序，允许研究人员进行各种 认知测试(图形化和基于文本)，安全地存储参与者的回答 将响应传输到数据基础设施以进行处理、分析和分发。目标2：建立在 现有基础设施，以开发管理智能手机数据收集、聚合和 准备数据集，并允许研究人员实时查询数据集或下载数据进行分析。 智能手机数据收集管理包括从设备接收响应以及推送 针对之前的回应，对参与者的设备采取新措施。目标3：执行行动计划 运行和维护这一集成的智能手机和数据基础设施系统。该计划包括 处理日常维护、备份和意外事件(网络或硬件故障)的程序。 业务计划不仅将支持本提案中概述的研究项目，而且还旨在 为认知老化领域的其他研究人员的项目提供平台。 这一技术核心的意义在于它综合了许多认知老化的创新解决方案 研究人员已经开发出在研究中使用移动设备，它使这些解决方案可供 整个研究界。创新之处在于这些解决方案是开放、灵活和以用户为中心的： 这些功能最大限度地提高了研究人员和研究参与者的参与度。对这一领域的影响是 通过可交付产品：一套移动应用程序和用于进行认知的强大服务器软件 老龄化研究。