title: Comparing a diagnosis list with a survey method to identify children with chronic conditions in an urban health center.
abstract: OBJECTIVE
  To compare a diagnosis list to the Questionnaire for Identifying Children with Chronic Conditions (QuICCC) to assess their relative usefulness as measures for identifying children with chronic conditions.
  
  
  METHODS
  Comparison of health encounter data and survey data for a cohort of 304 children aged 0-18 years at an urban health center affiliated with a teaching hospital. We used 2 strategies to identify children with a chronic condition: 1) identification by the existence of an encounter with an International Classification of Diseases, Ninth Revision code indicating a chronic condition and 2) identification by the QuICCC. We compared the characteristics of children identified by the diagnosis list with those of children identified by the QuICCC.
  
  
  RESULTS
  This population had high rates of chronic conditions, with 44% identified by the diagnosis list and 36% identified by the QuICCC. These 2 methods jointly identified 66% of children, yet only half (53%) of the children who had a diagnosis of a chronic condition in the encounter data were identified by the QuICCC. Asthma, anorexia, developmental delay, and adjustment reaction were among the common chronic conditions for children identified by the diagnosis list approach only.
  
  
  CONCLUSIONS
  We found only moderate concordance among the children identified as having chronic conditions by a diagnosis list and by the QuICCC in this high-risk urban population. These different results indicate that encounter data and survey approaches do not serve as simple substitutes for identifying children with chronic conditions for clinical or monitoring purposes.
authors.affiliation: Center for Child and Adolescent Health Policy, MassGeneral Hospital for Children, 50 Staniford St, Suite 901, Boston, MA 02114, USA. kkuhlthau@partners.org
authors.forename: Karen A
authors.initials: KA
authors.lastname: Kuhlthau
authors.forename: Anne C
authors.initials: AC
authors.lastname: Beal
authors.forename: Timothy G
authors.initials: TG
authors.lastname: Ferris
authors.forename: James M
authors.initials: JM
authors.lastname: Perrin
mesh_terms: D000293:Adolescent; D002648:Child; D002662:Child Health Services / Q000706:statistics & numerical data*; D002675:Child, Preschool; D002908:Chronic Disease / Q000145:classification / Q000453:epidemiology*; D003430:Cross-Sectional Studies; D019988:Children with Disabilities / Q000145:classification / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008403:Mass Screening / Q000379:methods*; D008499:Medical Records; D009511:New England / Q000453:epidemiology; D015588:Observer Variation; D012680:Sensitivity and Specificity; D011795:Surveys and Questionnaires; D019037:Urban Health Services / Q000706:statistics & numerical data*