title: Stratifying medical and pharmaceutical administrative claims as a method to identify pediatric asthma patients in a Medicaid managed care organization.
abstract: Claims data are a problematic indicator of underlying clinical diagnosis. They are attractive because of their affordability, a criterion especially salient in resource-shy environments such as the Medicaid Managed Care Organization. This study tested the validity of administrative medical and pharmaceutical claims stratified by treatment modality to identify true pediatric asthma patients. Primary and secondary data were used. Secondary data consisted of 1997 medical and pharmaceutical claims. Primary data consisted of chart data collected through expert chart review. We stratified claims by treatment modality hypothesized to better identify true asthma patients. Claim patterns were analyzed for support of expectations. Expert chart review determined true asthma status on study sample. We found that claims are patterned in accordance with hypotheses about stratification groups. The combined use of both medical and pharmaceutical claims was more effective in identifying asthmatics than the use of either set of claims by itself. The Medicaid Managed Care Organization can begin to identify its asthma population using the stratification meth.
authors.affiliation: Department of Sociology, Anthropology and Social Work, Kansas State University, 204 Waters Hall, Manhattan, KS 66506, USA.
authors.forename: Joan E
authors.initials: JE
authors.lastname: Twiggs
authors.forename: Judith
authors.initials: J
authors.lastname: Fifield
authors.forename: Andrea J
authors.initials: AJ
authors.lastname: Apter
authors.forename: Eric A
authors.initials: EA
authors.lastname: Jackson
authors.forename: Robert A
authors.initials: RA
authors.lastname: Cushman
mesh_terms: D001249:Asthma / Q000188:drug therapy / Q000453:epidemiology*; D016009:Chi-Square Distribution; D002648:Child; D019468:Disease Management; D005260:Female; D006302:Health Services Research; D006801:Humans; D007345:Insurance Claim Review; D016015:Logistic Models; D008297:Male; D008329:Managed Care Programs; D008484:Medicaid; D015995:Prevalence