Analysis Core

分析核心

• 批准号: 10219128
• 负责人: Rachel M Werner
• 金额: $ 20.96万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 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 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10219128
• 关键词: Address; Aging; American; Communities; Data; Data Set; Economics; Elderly; Elements; Environment; Foundations; Goals; Health; Health Services; Health Services Research; Health system; Infrastructure; Institutes; Investments; Knowledge; Mentors; Mentorship; Methodology; Methods; Minority; Nature; Pennsylvania; Personal Satisfaction; Plant Roots; Population; Research; Research Infrastructure; Research Personnel; Research Support; Resources; Science; Scientist; Secure; Services; Solid; Talents; Time; Training; Training and Infrastructure; Underrepresented Populations; Universities; care delivery; career; career development; data resource; econometrics; education research; health care delivery; health economics; improved; large datasets; multidisciplinary; recruit; skills; success; tool

The proposed Resource Center for Minority Aging Research (RCMAR) at the University of Pennsylvania (Penn)—the Center for Improving Care Delivery for the Aging (CICADA)—has two overall aims: (1) to enhance the diversity of the aging research workforce by mentoring promising scientists from underrepresented groups for careers dedicated to improving health care delivery for the aging; and (2) to develop infrastructure to promote advances that improve the health, wellbeing, function, and independence of older Americans – particularly minority elders – through transformation in health care delivery for the aging. The Analysis Core is central to the second aim. The field of health services research (HSR) addresses critical knowledge gaps to improve the delivery of care in the nation’s health system. While HSR is by nature a multidisciplinary and collaborative field— bringing together diverse perspectives and approaches—its roots are in economics. Economics informs the questions HSR asks, the empirical approach it takes, and the methods it uses to rigorously answer questions using observational data. HSR, thus, requires that investigators have fundamental expertise in econometric and statistical methodologies. In addition, these questions are often answered best using existing large data sets in high-capacity computing environments. With these resources, health services researchers can rigorously answer empirical questions with evidence that will improve the delivery of health care for aging populations. However, gaining access to these resources is often difficult. The datasets and infrastructure required are expensive to build and maintain and can be difficult for early stage investigators to use effectively. Furthermore, the advanced methodological approaches needed to rigorously answer important questions about health care delivery that will improve the health and wellbeing of aging populations can present an “entry barrier” for new investigators. The goal of the Analysis Core is to lower these barriers to entry—it will leverage the significant investments Penn’s Leonard Davis Institute of Health Economics (LDI) has made in research infrastructure (data and expertise) to provide RCMAR Scientists and the RCMAR community with unparalleled access to these resources and the means to use them. Specifically, the Analytics Core will overcome trainee barriers to these resources – including time, knowledge, and financial constraints—to assure that RCMAR Scientists develop into productive independent investigators in aging HSR. With these unparalleled resources, CICADA will be able to recruit the most talented underrepresented researchers in the field for training and mentorship to address the health services issues confronting aging populations.

宾夕法尼亚大学拟建少数族裔老龄化研究资源中心 (RCMAR) （宾夕法尼亚大学）——改善老年人护理服务中心 (CICADA)——有两个总体目标：(1) 通过指导有前途的科学家来增强老龄化研究队伍的多样性 致力于改善老年人医疗保健服务的职业代表性不足的群体；以及 (2) 发展基础设施以促进改善健康、福祉、功能和 通过医疗保健改革实现美国老年人——尤其是少数族裔老年人——的独立 分析核心是第二个目标的核心。 卫生服务研究 (HSR) 领域解决了关键的知识差距，以改善医疗服务的提供 虽然 HSR 本质上是一个多学科和协作领域—— 汇集不同的观点和方法——其根源在于经济学。 HSR 提出的问题、采用的实证方法以及严格回答的方法 因此，使用 HSR 来提出问题需要研究人员具备以下方面的基本专业知识： 此外，计量经济学和统计方法通常可以最好地回答这些问题。 借助这些资源，医疗服务可以利用大容量计算环境中的现有大数据集。 研究人员可以通过证据严格回答实证问题，从而改善交付 老龄化人口的医疗保健。 然而，获取这些资源所需的数据集和基础设施通常很困难。 构建和维护成本高昂，并且早期研究人员很难有效使用。 此外，需要先进的方法论来严格回答重要的问题 关于改善老龄化人口健康和福祉的医疗保健服务的问题可以 为新研究者设置了“进入壁垒”。 分析核心的目标是降低这些进入壁垒——它将利用重要的 宾夕法尼亚大学伦纳德·戴维斯健康经济研究所 (LDI) 在研究方面的投资 基础设施（数据和专业知识），为 RCMAR 科学家和 RCMAR 社区提供 具体来说，分析核心将提供对这些资源的无与伦比的访问和使用它们的方式。 克服学员获取这些资源的障碍——包括时间、知识和财务限制—— 确保 RCMAR 科学家成为老化高铁领域富有成效的独立调查员。 这些无与伦比的资源，CICADA 将能够招募到最有才华的弱势群体 该领域的研究人员接受培训和指导，以解决面临的卫生服务问题 人口老龄化。