title: The diabetes audit and research in Tayside Scotland (DARTS) study: electronic record linkage to create a diabetes register. DARTS/MEMO Collaboration.
abstract: OBJECTIVE
  To identify all patients with diabetes in a community using electronic record linkage of multiple data sources and to compare this method of case ascertainment with registers of diabetic patients derived from primary care.
  
  
  METHODS
  Electronic capture-recapture linkage of records included data on all patients attending hospital diabetes clinics, all encashed prescriptions for diabetes related drugs and monitoring equipment, all patients discharged from hospital, patients attending a mobile unit for eye screening, and results for glycated haemoglobin and plasma glucose concentrations from the regional biochemistry database. Diabetes registers from primary care were from a random sample of eight Tayside general practices. A detailed manual study of relevant records for the 35,144 patients registered with these eight general practices allowed for validation of the case ascertainment.
  
  
  METHODS
  Tayside region of Scotland, population 391,274 on 1 January 1996.
  
  
  METHODS
  Prevalence of diabetes; population of patients identified by different data sources; sensitivity and positive predictive value of ascertainment methods.
  
  
  RESULTS
  Electronic record linkage identified 7596 diabetic patients, giving a prevalence of known diabetes of 1.94% (0.21% insulin dependent diabetes, 1.73% non-insulin dependent): 63% of patients had attended hospital diabetes clinics, 68% had encashed diabetes related prescriptions, 72% had attended the mobile eye screening unit, and 48% had biochemical results diagnostic of diabetes. A further 701 patients had isolated hyperglycaemia (plasma glucose > 11.1 mmol/l) but were not considered diabetic by general practitioners. Validation against the eight general practices (636 diabetic patients) showed electronic linkage to have a sensitivity of 0.96 and a positive predictive value of 0.95 for ascertainment of known diabetes. General practice lists had a sensitivity of 0.91 and a positive predictive value of 0.98.
  
  
  CONCLUSIONS
  Electronic record linkage was more sensitive than general practice registers in identifying diabetic subjects and identified an additional 0.18% of the population with a history of hyperglycaemia who might warrant screening for undiagnosed diabetes.
authors.affiliation: University Department of Medicine, Ninewells Hospital and Medical School, Dundee.
authors.forename: A D
authors.initials: AD
authors.lastname: Morris
authors.forename: D I
authors.initials: DI
authors.lastname: Boyle
authors.forename: R
authors.initials: R
authors.lastname: MacAlpine
authors.forename: A
authors.initials: A
authors.lastname: Emslie-Smith
authors.forename: R T
authors.initials: RT
authors.lastname: Jung
authors.forename: R W
authors.initials: RW
authors.lastname: Newton
authors.forename: T M
authors.initials: TM
authors.lastname: MacDonald
mesh_terms: D003920:Diabetes Mellitus / Q000453:epidemiology*; D005260:Female; D006801:Humans; D008297:Male; D008498:Medical Record Linkage; D016347:Medical Records Systems, Computerized; D008875:Middle Aged; D015995:Prevalence; D012042:Registries; D012606:Scotland / Q000453:epidemiology; D012680:Sensitivity and Specificity