title: Index of orthodontic treatment need as a predictor of orthodontic treatment uptake.
abstract: BACKGROUND
  The aim of this study was to evaluate whether the index of orthodontic treatment need (IOTN) could be weighted by using consumer-based sociodental measures to predict the uptake of orthodontic services.
  
  
  METHODS
  The sample consisted of 525 schoolchildren, 11 to 12 years old, from Greater Manchester, United Kingdom. Child-perceived IOTN aesthetic component (AC), examiner IOTN AC and dental health component, and child socioeconomic status (Townsend score) were recorded. Two consumer sociodental measures (utility and oral aesthetic subjective impact scale values) were recorded. Three years later, the proportion of the subjects who had received orthodontic treatment or were on a waiting list for orthodontic treatment was recorded, and the rate of service uptake was determined.
  
  
  RESULTS
  Sociodental indicators did not predict uptake of orthodontic services. A child with higher normative clinical treatment need was 3 times more likely to receive orthodontic treatment than a child with low clinical need (P < .05).
  
  
  CONCLUSIONS
  Consumer-based sociodental information does not predict future use of orthodontic services. Factors such as clinical IOTN and child-perceived IOTN AC will adequately predict use of orthodontic services.
authors.affiliation: Unit of Orthodontics, University Dental Hospital of Manchester, Higher Cambridge Street, Manchester M15 6FH, UK. Nicky@fs1.den.man.ac.uk
authors.forename: Nicky A
authors.initials: NA
authors.lastname: Mandall
authors.forename: Jean
authors.initials: J
authors.lastname: Wright
authors.forename: Frances
authors.initials: F
authors.lastname: Conboy
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Kay
authors.forename: Linda
authors.initials: L
authors.lastname: Harvey
authors.forename: Kevin D
authors.initials: KD
authors.lastname: O'Brien
mesh_terms: D000293:Adolescent; D002648:Child; D003753:Dental Health Surveys; D005260:Female; D005544:Forecasting; D006301:Health Services Needs and Demand / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008310:Malocclusion / Q000175:diagnosis* / Q000453:epidemiology* / Q000523:psychology; D009970:Orthodontics; D009971:Orthodontics, Corrective / Q000706:statistics & numerical data*; D012680:Sensitivity and Specificity; D012923:Social Class; D011795:Surveys and Questionnaires; D006113:United Kingdom; D000078329:Workforce