Misclassification of Medicaid Participation by Dual Eligibles: Evidence From the Medicare Current Beneficiary Survey

Misclassification of Medicaid Participation by Dual Eligibles: Evidence From the Medicare Current Beneficiary Survey
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双重资格对医疗补助参与的错误分类:来自医疗保险当前受益人调查的证据

DOI:
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发表时间:
2019
影响因子:
2.5
通讯作者:
L. Sabik
L. Sabik
中科院分区:
医学3区
文献类型:
--
作者:
J. Mellor;M. McInerney;L. Sabik

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之前的研究表明,基于调查的医疗补助参与率报告存在误差,但之前没有研究检验过医疗补助人口的一个重要部分——参加医疗保险的低收入成年人的测量误差。使用医疗保险当前受益人调查,我们检查了受访者对医疗补助登记的自我报告是否与管理记录相符,并提出了几项关键发现。首先,在低收入医疗保险受益人中,当自我报告被解释为全额医疗补助时,假阴性率为 11.5%,当自我报告被解释为全额或部分医疗补助时,假阴性率为 3.7%。其次,假阴性报告的可能性与受访者特征系统相关。第三,系统测量误差导致根据自我报告定义的医疗补助参与模型中的系数估计存在偏差,并且当研究人员将自我报告解释为仅完全医疗补助覆盖时,偏差更加显着。研究人员在将调查报告解释为仅涉及完整的医疗补助覆盖范围时应谨慎行事。
Previous studies show that survey-based reports of Medicaid participation are measured with error, but no prior study has examined measurement error in an important segment of the Medicaid population—low-income adults enrolled in Medicare. Using the Medicare Current Beneficiary Survey, we examine whether respondent self-reports of Medicaid enrollment match administrative records and present several key findings. First, among low-income Medicare beneficiaries, the false negative rate is 11.5% when the self-report is interpreted as full Medicaid and 3.7% when the self-report is interpreted as full or partial Medicaid. Second, the likelihood of a false negative report is systematically associated with respondent traits. Third, systematic measurement error results in biased coefficient estimates in models of Medicaid participation defined from self-reports, and the bias is more significant when the researcher interprets self-reports as full Medicaid coverage only. Researchers should use caution when interpreting survey reports as pertaining to full Medicaid coverage only.