Modeling dental service use among the elderly in the presence of endogenous selection into dental coverage

项目摘要 该项目的目标是更好地了解牙齿的健康和使用后果 不断变化的经济和社会卫生政策以及如何提高生活质量和健康成果 通过应用现代保健服务和计量经济学研究方法，在老年人中开展工作。我们的发现 将协助决策者制定适当的政府政策，包括与 《平价医疗法案》(ACA)、《医疗保险》和《医疗补助》。这个项目是多学科合作的成果。 研究团队，将使用医疗保健研究机构提供的MEPS数据进行 和质量。 指导这项研究的中心假设是，预防性牙科保健与 平均一般健康水平和较低的合并症和医疗服务利用水平。这项建议 该项目建立在本研究之前进行的几项合作研究的基础上，并是其延伸 一队。我们在这个项目中建议使用多年的医疗支出小组调查(MEP)来 使用预防性措施确定65岁及以上人口的社会经济和人口特征 与不使用牙科护理，或只使用基本或主要恢复性服务的人相比。我们会 然后联合评估预防性牙科护理以及基础和主要修复牙科的可能性 使用相关随机效应面板数据计量经济学的服务与多年的MEPS数据 控制内生自付价格、覆盖面和其他控制变量的方法。

Project Summary The goal of this project is to provide a better understanding of the dental health and utilization consequences of changing economic and social health policies and how to improve the quality of life and health outcomes among the elderly by applying contemporary health services and econometric research methods. Our findings will assist policy makers as they formulate suitable governmental policies, including those that relate to the Affordable Care Act (ACA), Medicare and Medicaid. This project is a collaborative effort of a multidisciplinary research team and will be conducted using MEPS data available from the Agency for Healthcare Research and Quality. The central hypothesis guiding this study is that preventive dental care is highly correlated with better-than- average general health and lower levels of comorbidity and utilization of medical services. This proposed project builds upon, and is an extension of, several collaborative studies previously conducted by this research team. We propose in this project to use multiple years of the Medical Expenditure Panel Survey (MEPS) to determine socio-economic and demographic characteristics of persons age 65 and older using preventive dental care compared to those using either no dental care, or only basic or major restorative services. We will then jointly estimate the probability of preventive dental care and both basic and major restorative dental services with the multiple years of MEPS data by using a correlated random effects panel data econometric method that controls for endogenous out-of pocket prices, coverage, and other control variables.