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本文引用的文献

1
Data Processing Improvements for Estimates of Health Insurance Coverage in the Current Population Survey Annual Social and Economic Supplement.数据处理改进对当前人口调查年度社会经济补充健康保险覆盖范围估计的影响。
Med Care Res Rev. 2022 Apr;79(2):308-316. doi: 10.1177/10775587211000812. Epub 2021 Mar 23.
2
Improvements in Uninsurance Estimates for Fully Imputed Cases in the Current Population Survey Annual Social and Economic Supplement.《当前人口调查年度社会经济补充调查中完全推算案例的未参保估计数的改进》
Inquiry. 2020 Jan-Dec;57:46958020923554. doi: 10.1177/0046958020923554.
3
Effects of improvements in the CPS on the estimated prevalence of medical financial burdens.CPS 改进对医疗财务负担估算患病率的影响。
Health Serv Res. 2019 Aug;54(4):920-929. doi: 10.1111/1475-6773.13158. Epub 2019 Apr 29.
4
The Effect of ACA State Medicaid Expansions on Medical Out-of-Pocket Expenditures.ACA 州医疗补助扩张对医疗自付支出的影响。
Med Care Res Rev. 2020 Feb;77(1):19-33. doi: 10.1177/1077558718768895. Epub 2018 May 10.
5
The Effects of Household Medical Expenditures on Income Inequality in the United States.美国家庭医疗支出对收入不平等的影响。
Am J Public Health. 2018 Mar;108(3):351-354. doi: 10.2105/AJPH.2017.304213. Epub 2018 Jan 18.
6
Understanding the New Current Population Survey Health Insurance Questions.理解当前人口调查中的新医疗保险问题。
Health Serv Res. 2016 Feb;51(1):240-61. doi: 10.1111/1475-6773.12312. Epub 2015 Apr 19.
7
The financial burden of medical spending: estimates and implications for evaluating the impact of ACA reforms.医疗支出的财务负担:评估《平价医疗法案》改革影响的估计与启示
Med Care Res Rev. 2015 Apr;72(2):187-99. doi: 10.1177/1077558714563173. Epub 2014 Dec 18.
8
A Review of Hot Deck Imputation for Survey Non-response.调查无应答的热卡填充法综述
Int Stat Rev. 2010 Apr;78(1):40-64. doi: 10.1111/j.1751-5823.2010.00103.x.
9
Understanding the current population survey's insurance estimates and the Medicaid 'undercount'.了解当前人口调查的保险估计数和医疗补助的“漏报”。
Health Aff (Millwood). 2009 Nov-Dec;28(6):w991-1001. doi: 10.1377/hlthaff.28.6.w991. Epub 2009 Sep 10.
10
Financial burden of health care, 2001-2004.2001 - 2004年医疗保健的经济负担
Health Aff (Millwood). 2008 Jan-Feb;27(1):188-95. doi: 10.1377/hlthaff.27.1.188.

重新设计的当前人口调查中的自付医疗支出:评估数据处理的改进。

Out-of-Pocket Medical Expenditures in the Redesigned Current Population Survey: Evaluating Improvements to Data Processing.

机构信息

University of Maryland, College Park, USA.

U.S. Census Bureau, Suitland, MD, USA.

出版信息

Med Care Res Rev. 2023 Oct;80(5):548-557. doi: 10.1177/10775587231170951. Epub 2023 May 13.

DOI:10.1177/10775587231170951
PMID:37178015
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10524916/
Abstract

Household surveys are an important source of information on medical spending and burden. We examine how recently implemented post-processing improvements to the Current Population Survey Annual Social and Economic Supplement (CPS ASEC) affected estimates of medical expenditures and medical burden. The revised data extraction and imputation procedures mark the second stage of the CPS ASEC redesign and the beginning of a new time series for studying household medical expenditures. Using data for the calendar year 2017, we find that median family medical expenditures are not statistically different from legacy methods; however, updated processing does significantly reduce the percentage of families estimated to have a high medical burden (medical expenses are at least 10% of family income). The updated processing system also changes the characteristics of families with high medical spending and is primarily driven by changes in imputation of health insurance and medical spending.

摘要

家庭调查是了解医疗支出和负担的重要信息来源。我们研究了最近对当前人口调查年度社会经济补充调查(CPS ASEC)进行的后期处理改进如何影响医疗支出和医疗负担的估计。修订的数据提取和插补程序标志着 CPS ASEC 重新设计的第二阶段,也是研究家庭医疗支出的新时间序列的开始。使用 2017 日历年的数据,我们发现家庭医疗支出中位数与传统方法没有统计学差异;然而,更新的处理确实显著降低了估计有高医疗负担的家庭比例(医疗费用至少占家庭收入的 10%)。更新的处理系统还改变了高医疗支出家庭的特征,主要是由于医疗保险和医疗支出的插补变化所致。