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在国家健康与营养检查调查-医疗保险与医疗补助服务中心(NHANES-CMS)关联数据中,采用多重填补法处理不符合关联条件的情况:通用模型与特定主题填补模型的比较

Multiple imputation to account for linkage ineligibility in the NHANES-CMS Medicaid linked data: General use versus subject specific imputation models.

作者信息

Rammon Jennifer, He Yulei, Parker Jennifer D

机构信息

Division of Research and Methodology, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.

出版信息

Stat J IAOS. 2019 Aug 26;35(3):443-456. doi: 10.3233/sji-180470.

Abstract

Data from the National Health and Nutrition Examination Survey (NHANES) have been linked to the Center for Medicare and Medicaid Services' Medicaid Enrollment and Claims Files. As not all survey participants provide sufficient information to be eligible for record linkage, linked data often includes fewer records than the original survey data. This project presents an application of multiple imputation (MI) for handling missing Medicaid/CHIP status due to linkage refusals in linked NHANES-Medicaid data using the linked 1999-2004 NHANES data. By examining multiple outcomes and subgroups among children, the analyses compare the results from a multi-purpose dataset produced from a single MI model to that of individualized MI models. Outcomes examined here include obesity, untreated dental caries, attention deficit hyperactivity disorder (ADHD), and exposure to second hand smoke.

摘要

来自美国国家健康与营养检查调查(NHANES)的数据已与医疗保险和医疗补助服务中心的医疗补助登记及索赔档案相链接。由于并非所有调查参与者都能提供足够信息以符合记录链接的条件,因此链接后的数据记录数量通常少于原始调查数据。本项目展示了多重填补(MI)在处理因链接拒绝而导致的NHANES与医疗补助链接数据中缺失的医疗补助/儿童健康保险计划(CHIP)状态方面的应用,使用的是1999 - 2004年链接的NHANES数据。通过检查儿童中的多个结果和亚组,分析将单一MI模型生成的多用途数据集的结果与个体化MI模型的结果进行了比较。此处检查的结果包括肥胖、未经治疗的龋齿、注意力缺陷多动障碍(ADHD)以及接触二手烟的情况。

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CHIP reporting in the CPS.CPS中的CHIP报告。
Medicare Medicaid Res Rev. 2012 Jul 31;2(3). doi: 10.5600/mmrr.002.03.b01. eCollection 2012.
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A longitudinal view of child enrollment in Medicaid.儿童在医疗补助计划中的纵向入学情况。
Pediatrics. 2013 Oct;132(4):656-62. doi: 10.1542/peds.2013-1544. Epub 2013 Sep 23.

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