CHIME Analysis Core (AnC)

RCMAR CHIME分析核心项目摘要 CHIME分析核心（AnC）的主要使命是提供数据收集和分析支持， RCMAR科学家和促进新的调查路线，将解决我们的主题“发展， 调整和评估干预措施，以改善少数民族老年人的健康”， RFA的两个科学重点领域：i）旨在理解和修改组织或 与晚年积极和消极健康结果相关的个人行为，包括组织 和卫生保健系统中的个人干预措施，以及ii）对影响人口老龄化的因素的研究， 以及人口老龄化的后果。AnC的三个具体目标是：1）提供 为CHIME RCMAR科学家提供全面的方法和统计支持，包括定性数据 方法（例如，焦点小组和认知访谈）和定量数据方法， 实施、分析和传播组织和个人行为干预措施，2）提供 接触用于分析二手数据的科学分析方法和方法， 了解影响人口老龄化的因素，特别是少数民族，3）协助RCMAR科学家使用 或修改现有的措施，或开发新的行为或社会测量工具， 特别是那些社会经济地位低下或处于其他社会不利地位的人。的 AnC将RCMAR科学家与兰德帕迪研究生院的新方法中心联系起来， 在线UCSF实施科学课程，以及由AnC共同领导的定性数据分析课程， 主任格里瑞安博士;其中每一个将支持解决两个重点领域的研究发展（一） 及（ii）。此外，AnC将为所有RCMAR科学家提供支持，以解决确定的测量问题， 和方法问题，通过匹配核心和/或咨询教师与RCMAR科学家的基础上的具体 教师的方法论专业知识和试点研究的需要。Anc还将提供援助 提供所需的数据管理、统计和方案编制支助， 研究中心的主题。

Project Summary for the RCMAR CHIME Analysis Core The primary mission of the CHIME analysis core (AnC) is to provide data collection and analysis support to RCMAR Scientists and to promote new lines of investigation that will address our theme of “Developing, Adapting and Evaluating Interventions to Improve the Health of Minority Elders”, which incorporates elements of two of the RFA areas of scientific focus: i) research aimed at understanding and modifying organizational or individual behaviors associated with positive and negative health outcomes in later life, including organizational and individual interventions in the health care system, and ii) research on factors that affect population aging, as well as the consequences of population aging.The three specific aims of the AnC are to: 1) Provide comprehensive methodological and statistical support to CHIME RCMAR Scientists including qualitative data methods (e.g., focus groups and cognitive interviews) and quantitative data methods for developing, implementing, analyzing, and disseminating organizational and individual behavioral interventions, 2) Provide exposure to state-of-the-science analytic methods and approaches for the analysis of secondary data to understand factors that affect population aging, particularly for minorities, 3) Assist RCMAR Scientists with use or modification of existing measures, or developing new behavioral or social measurement tools for use in mid- life or elderly populations, particularly those of low socio-economic status or other societal disadvantages. The AnC will connect RCMAR Scientists with the new Methods Centers at the RAND Pardee Graduate School, the online UCSF Implementation Science Curriculum, and a qualitative data analysis course led by AnC co- director Dr. Gery Ryan; each of which will support the development of research addressing both focus areas (i) and (ii). In addition, the AnC will provide support to all RCMAR Scientists in addressing identified measurement and methods issues, by matching Core and/or consulting faculty with RCMAR Scientists based on the specific methodologic expertise of the faculty and the needs of the pilot studies. The AnC will also provide assistance with data management and statistical and programming support as needed, in order to facilitate high-quality research adressing the Center theme.