Concordance between survey reported childhood asthma and linked Medicaid administrative records

Benjamin Zablotsky1, Lindsey I Black1

  • 1a National Center for Health Statistics , Hyattsville , MD , USA.

Insights

Parental reports of childhood asthma in surveys generally agree with Medicaid claims data. However, agreement decreased significantly for children with co-occurring conditions like allergies.

Area of Science:

  • Pediatric Health Research
  • Health Services Research
  • Data Linkage and Analysis

Background:

  • Parental reporting of childhood asthma is crucial but varies by condition.
  • Limited research exists on the concordance of parental asthma reports with administrative data.
  • Understanding data agreement is vital for accurate public health surveillance.

Purpose of the Study:

  • To assess the agreement between parent-reported asthma in the National Health Interview Survey (NHIS) and Medicaid administrative claims.
  • To identify factors influencing the concordance between survey and claims data for childhood asthma.
  • To investigate the impact of co-occurring conditions on data agreement.

Main Methods:

  • Linked National Health Interview Survey (NHIS) data (2001-2005) with Medicaid Analytic eXtract (MAX) data (2000-2005).
  • Calculated concordance measures (percent agreement, Cohen's kappa, prevalence-adjusted bias-adjusted kappa).
  • Employed structural equation modeling to analyze demographic, service utilization, and co-occurring condition factors.

Main Results:

  • High overall agreement (90% percent agreement, kappa=0.80) between NHIS parent reports and Medicaid claims.
  • Agreement varied based on demographics, service utilization, and presence of allergies.
  • Co-occurring conditions, particularly allergies, significantly reduced agreement between data sources.

Conclusions:

  • General agreement exists between parent-reported asthma (NHIS) and medical claims data.
  • Discordance in asthma reporting is most pronounced among children with co-occurring health conditions.
  • Findings highlight the need to consider data source limitations, especially for complex pediatric cases.
Abstract

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