ArticleThe Journal of asthma : official journal of the Association for the Care of Asthma2019
Concordance between survey reported childhood asthma and linked Medicaid administrative records.
Article in The Journal of asthma : official journal of the Association for the Care of Asthma, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Ascertaining asthma status in epidemiologic studies: a comparison between administrative health data and self-report.BMC medical research methodology · 2023Article
- Comparing prevalence estimates of concussion/head injury in U.S. children and adolescents in national surveys.Annals of epidemiology · 2021Article
- Accuracy of Maternal Reports of Young Children's Dental Disease Status: Avon Longitudinal Study of Parents and Children.Dentistry journal · 2020Article
- Allergic diseases among Asian children in the United States.The Journal of allergy and clinical immunology · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
objectiveAgreement 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.
methodsMedicaid 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.
resultsPercent 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.
conclusionsThere 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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