MULTIPLE IMPUTATION FOR MISSINGNESS DUE TO NONLINKAGE AND PROGRAM CHARACTERISTICS

Details

• Journal Article:
  J Surv Stat Methodol
• Personal Author:
  ZHANG, GUANGYU ; PARKER, JENNIFER D. ; SCHENKER, NATHANIEL
• Description:
  Record linkage is a valuable and efficient tool for connecting information from different data sources. The National Center for Health Statistics (NCHS) has linked its population-based health surveys with administrative data, including Medicare enrollment and claims records. However, the linked NCHS-Medicare files are subject to missing data; first, not all survey participants agree to record linkage, and second, Medicare claims data are only consistently available for beneficiaries enrolled in the Fee-for-Service (FFS) program, not in Medicare Advantage (MA) plans. In this research, we examine the usefulness of multiple imputation for handling missing data in linked National Health Interview Survey (NHIS)-Medicare files. The motivating example is a study of mammography status from 1999 to 2004 among women aged 65 years and older enrolled in the FFS program. In our example, mammography screening status and FFS/MA plan type are missing for NHIS survey participants who were not linkage eligible. Mammography status is also missing for linked participants in an MA plan. We explore three imputation approaches: (i) imputing screening status first, (ii) imputing FFS/MA plan type first, (iii) and imputing the two longitudinal processes simultaneously. We conduct simulation studies to evaluate these methods and compare them using the linked NHIS-Medicare files. The imputation procedures described in our paper would also be applicable to other public health-related research using linked data files with missing data issues arising from program characteristics (e.g., intermittent enrollment or data collection) reflected in administrative data and linkage eligibility by survey participants.
• Keywords:
  Imputation Missing Data Record Linkage
• Source:
  J Surv Stat Methodol. 4(3):316-338
• DOI:
  http://dx.doi.org/10.1093/jssam/smw002
• Pubmed ID:
  30949519
• Pubmed Central ID:
  PMC6444366
• Document Type:
  Text ; Journal Article
• Funding:
  CC999999/Intramural CDC HHSUnited States/
• Genre:
  Journal Article
• Volume:
  4
• Issue:
  3
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:7fb65af2da5e2d7a1d7157c70ca25a8093dee5fe07cf9fed139ab4030512a0d372c1c24e2e67e6b95332570157bae2e56c483d1858f3707127f60fde455b934d
• Download URL:
  https://stacks.cdc.gov/view/cdc/77409/cdc_77409_DS1.pdf
• File Type:
  [PDF - 696.86 KB ]