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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.
Objective:
Agreement between administrative and survey data has been shown to vary by the condition of interest and there is limited research dedicated to parental report of asthma among children. The current study assesses the concordance between parent-reported asthma from the National Health Interview Survey (NHIS) with Medicaid administrative claims data among linkage eligible children from the NHIS.
Methods:
Medicaid Analytic eXtract (MAX) files from the Centers for Medicare & Medicaid Services (CMS) (years 2000-2005) were linked to participants of the NHIS (years 2001-2005). Concordance measures were calculated to assess overall agreement between a claims-based asthma diagnosis and a survey-based asthma diagnosis. Structural equation modeling was used to assess the association between demographic, service utilization, and co-occurring conditions factors and agreement.
Results:
Percent agreement between the two data sources was high (90%) with a prevalence-adjusted bias-adjusted kappa of 0.80 and Cohen's kappa of 0.55. Agreement varied by demographic characteristics, service utilization characteristics, and the presence of allergies and other health conditions. Structural equation modeling results found the presence of a series of co-occurring conditions, namely allergies, resulted in significantly lower agreement after controlling for demographics and service utilization.
Conclusions:
There was general agreement between asthma diagnoses reported in the NHIS when compared to medical claims. Discordance was greatest among children with co-occurring conditions.
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