Enhancing the NHANES CMS Medicaid Linked Data with Multiple Imputation

• Activity Number: 593 - Multiple Imputation for Complex Health Survey Data
• Type: Invited
• Date/Time: Thursday, August 3, 2017 : 8:30 AM to 10:20 AM
• Sponsor: Government Statistics Section
• Author(s): Jennifer R Rammon* and Jennifer Parker and Yulei He
• Companies: National Center for Health Statistics and National Center for Health Statistics and National Center for Health Statistics
• Keywords: Multiple Imputation ; Data Linkage ; NHANES ; Medicaid ; children

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 status due to linkage refusals in linked NHANES-Medicaid data using linkages of 1999-2004 NHANES survey years. By examining multiple outcomes and subgroups among children, the analyses compares the utility of a multi-purpose dataset from a single MI model to that of individualized models. Outcomes examined here include obesity, untreated dental caries, attention deficit hyperactivity disorder (ADHD), and exposure to second hand smoke.