Analysis Core

宾夕法尼亚大学的少数民族老龄化研究资源中心（RCMAR） （Penn）-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， 代表性不足的群体，致力于改善老年人的医疗保健服务;以及（2） 发展基础设施，以促进改善健康，福祉，功能的进步， 通过医疗保健改革，美国老年人，特别是少数族裔老年人的独立性 为老年人接生。分析核心是第二个目标的核心。 卫生服务研究领域（HSR）解决了关键的知识差距，以改善 在国家的医疗体系中。虽然高铁本质上是一个多学科和合作的领域- 汇集了不同的观点和方法-它的根源是经济学。经济学通知 HSR提出的问题，它采取的实证方法，以及它用来严格回答的方法 使用观察数据的问题。因此，HSR要求调查人员具备以下方面的基本专业知识： 计量经济学和统计学方法。此外，这些问题的最佳答案往往是使用 大容量计算环境中现有的大型数据集。有了这些资源， 研究人员可以用证据来严格回答经验问题， 老年人的医疗保健。 然而，获得这些资源往往是困难的。所需的数据集和基础设施 构建和维护成本昂贵，并且对于早期阶段的调查人员来说可能难以有效地使用。 此外，需要采用先进的方法， 有关医疗保健提供的问题，将改善老年人的健康和福祉， 为新的调查人员设置了“进入壁垒”。 分析核心的目标是降低这些进入门槛-它将利用重要的 宾夕法尼亚大学的伦纳德戴维斯卫生经济研究所（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 这些资源和使用这些资源的手段是无与伦比的。具体而言，分析核心将 克服学员获得这些资源的障碍--包括时间、知识和财务限制， 确保RCMAR科学家发展成为老化HSR领域富有成效的独立研究者。与 这些无与伦比的资源，CICADA将能够招募最有才华的代表性不足 该领域的研究人员进行培训和指导，以解决面临的卫生服务问题 人口老龄化。

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.