title: Childhood asthma: can computers aid detection in general practice?
abstract: BACKGROUND
  Childhood asthma remains underdiagnosed in general practice. Computers with a patient interface have the potential to screen children for asthma in a time-efficient manner.
  
  
  OBJECTIVE
  To develop a concise, validated self-report measure that calculates an 'asthma score' that predicts likelihood of asthma and its severity in childhood.
  
  
  METHODS
  Computerised questionnaire survey in general practitioners' (GPs') waiting rooms, followed by a written questionnaire and either bronchial challenge or skin allergy testing at the regional teaching hospital.
  
  
  METHODS
  Children between 18 months and 18 years old accompanied by a parent or guardian in five group practices in Newcastle in New South Wales, Australia.
  
  
  METHODS
  The responses from both the computerised questionnaire and the written questionnaire were compared with physician assessment of asthma, based on an existing validated questionnaire and clinical tests.
  
  
  RESULTS
  Six items were identified to be independently and significantly associated (at P < 0.05) with the presence of asthma and its severity: parent or self-reported asthma, previous diagnosis, wheeze in the past year, physical activity affected by symptoms, night cough in the past year, and visits to a GP in the past year. From the regression model a linear score was derived that indicates whether a child is likely to have asthma and its likely severity.
  
  
  CONCLUSIONS
  The asthma score is a valid indicator of asthma and its severity in children in general practice.
authors.affiliation: University of Newcastle, Locked Bag No 10, Wallsend NSW 2287 Australia. sheree.kable@newcastle.edu.au
authors.forename: S
authors.initials: S
authors.lastname: Kable
authors.forename: R
authors.initials: R
authors.lastname: Henry
authors.forename: R
authors.initials: R
authors.lastname: Sanson-Fisher
authors.forename: M
authors.initials: M
authors.lastname: Ireland
authors.forename: R
authors.initials: R
authors.lastname: Corkrey
authors.forename: J
authors.initials: J
authors.lastname: Cockburn
mesh_terms: D000293:Adolescent; D001249:Asthma / Q000175:diagnosis*; D002648:Child; D002675:Child, Preschool; D003936:Diagnosis, Computer-Assisted / Q000379:methods / Q000592:standards*; D005194:Family Practice / Q000458:organization & administration / Q000592:standards*; D006801:Humans; D007223:Infant; D009517:New South Wales; D011795:Surveys and Questionnaires