Measurement Error in Public Health Insurance Reporting in the American Community Survey: Evidence from Record Linkage

Michel H. Boudreaux, Kathleen Thiede Call, Joanna Turner, Brett Fried, Brett O'Hara

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Objective Examine measurement error to public health insurance in the American Community Survey (ACS). Data Sources/Study Setting The ACS and the Medicaid Statistical Information System (MSIS). Study Design We tabulated the two data sources separately and then merged the data and examined health insurance reports among ACS cases known to be enrolled in Medicaid or expansion Children's Health Insurance Program (CHIP) benefits. Data Collection/Extraction Methods The two data sources were merged using protected identification keys. ACS respondents were considered enrolled if they had full benefit Medicaid or expansion CHIP coverage on the date of interview. Principal Findings On an aggregated basis, the ACS overcounts the MSIS. After merging the data, we estimate a false-negative rate in the 2009 ACS of 21.6 percent. The false-negative rate varies across states, demographic groups, and year. Of known Medicaid and expansion CHIP enrollees, 12.5 percent were coded to some other coverage and 9.1 percent were coded as uninsured. Conclusions The false-negative rate in the ACS is on par with other federal surveys. However, unlike other surveys, the ACS overcounts the MSIS on an aggregated basis. Future work is needed to disentangle the causes of the ACS overcount.

Original languageEnglish (US)
Pages (from-to)1973-1995
Number of pages23
JournalHealth services research
Volume50
Issue number6
DOIs
StatePublished - Dec 1 2015

Bibliographical note

Publisher Copyright:
© Health Research and Educational Trust.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Keywords

  • American Community Survey
  • CHIP
  • Medicaid
  • survey methods

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