Suppr超能文献

估计反事实情况:如果没有《平价医疗法案》,如今会有多少未参保成年人?

Estimating the Counterfactual: How Many Uninsured Adults Would There Be Today Without the ACA?

作者信息

Blumberg Linda J, Garrett Bowen, Holahan John

机构信息

Urban Institute, Washington, DC, USA.

Urban Institute, Washington, DC, USA

出版信息

Inquiry. 2016 Apr 13;53. doi: 10.1177/0046958016634991. Print 2016.

Abstract

Time lags in receiving data from long-standing, large federal surveys complicate real-time estimation of the coverage effects of full Affordable Care Act (ACA) implementation. Fast-turnaround household surveys fill some of the void in data on recent changes to insurance coverage, but they lack the historical data that allow analysts to account for trends that predate the ACA, economic fluctuations, and earlier public program expansions when predicting how many people would be uninsured without comprehensive health care reform. Using data from the Current Population Survey (CPS) from 2000 to 2012 and the Health Reform Monitoring Survey (HRMS) data for 2013 and 2015, this article develops an approach to estimate the number of people who would be uninsured in the absence of the ACA and isolates the change in coverage as of March 2015 that can be attributed to the ACA. We produce counterfactual forecasts of the number of uninsured absent the ACA for 9 age-income groups and compare these estimates with 2015 estimates based on HRMS relative coverage changes applied to CPS-based population estimates. As of March 2015, we find the ACA has reduced the number of uninsured adults by 18.1 million compared with the number who would have been uninsured at that time had the law not been implemented. That decline represents a 46% reduction in the number of nonelderly adults without insurance. The approach developed here can be applied to other federal data and timely surveys to provide a range of estimates of the overall effects of reform.

摘要

从长期的大型联邦调查中接收数据存在时间滞后,这使得对《平价医疗法案》(ACA)全面实施的覆盖效果进行实时评估变得复杂。快速周转的家庭调查填补了一些保险覆盖范围近期变化数据方面的空白,但它们缺乏历史数据,而这些历史数据能让分析人员在预测若无全面医疗改革会有多少人未参保时,考虑到ACA之前的趋势、经济波动以及早期公共项目扩张情况。本文利用2000年至2012年当前人口调查(CPS)的数据以及2013年和2015年的医疗改革监测调查(HRMS)数据,开发了一种方法来估计在没有ACA的情况下未参保的人数,并分离出截至2015年3月可归因于ACA的覆盖范围变化。我们针对9个年龄 - 收入组生成了没有ACA时未参保人数的反事实预测,并将这些估计值与基于将HRMS相对覆盖范围变化应用于基于CPS的人口估计值得出的2015年估计值进行比较。截至2015年3月,我们发现与若该法案未实施时本应未参保的人数相比,ACA已使未参保成年人数量减少了1810万。这一下降代表未参保非老年成年人数量减少了46%。此处开发的方法可应用于其他联邦数据和及时调查,以提供一系列改革总体效果的估计值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f308/5798725/0ff38aee20bb/10.1177_0046958016634991-fig1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验