Methods to differentiate non-citizen immigrants & analysis of health insurance

区分非公民移民的方法

• 批准号: 7501226
• 负责人: Jennifer Novak
• 金额: $ 2.45万
• 依托单位: RAND CORPORATION
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-30 至 2009-12-11
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7501226
• 关键词: Methods; differentiate; non; citizen; immigrants

DESCRIPTION (provided by the applicant): This research develops a Bayesian methodology in order to differentiate between legal statuses of non-immigrant citizens (green-card holder, temporary lawful resident, and undocumented) in national data and uses the methodology to analyze key policy issues regarding access to public and employer-provided health insurance by non-citizen immigration status. The proposed research fulfills the AHRQ's strategic research goal of increased efficiency and reduced cost in health care services, and focuses directly on one of its priority populations, low-income and minority groups.

描述（由申请人提供）：本研究开发了贝叶斯方法，以区分国家数据中非移民公民（绿卡保持器，临时合法居民和无证）的法律的身份，并使用该方法分析非公民移民身份获得公共和雇主提供的医疗保险的关键政策问题。拟议的研究实现了AHRQ的战略研究目标，即提高医疗保健服务的效率和降低成本，并直接关注其优先人群之一，低收入和少数群体。