The diabetes audit and research in Tayside Scotland (darts) study: electronic record linkage to create a diabetes register
Authors: A. D Morris, D. I. Boyle, R. MacAlpine, A. Emslie-Smith, R. T Jung, R. W Newton, T. M MacDonald
Journal: BMJ (1997)

<h3>Abstract</h3> <b>Objectives:</b> 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. <b>Design:</b> 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. <b>Setting:</b> Tayside region of Scotland, population 391 274 on 1 January 1996. <b>Main outcome measures:</b> Prevalence of diabetes; population of patients identified by different data sources; sensitivity and positive predictive value of ascertainment methods. <b>Results:</b> 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 &gt;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. <b>Conclusions:</b> 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. <h3>Key messages</h3> It has been recommended that regional registers of patients with diabetes are established in order to facilitate effective monitoring and treatment of diabetes In Tayside we created a diabetes register by record linkage of multiple data sources: 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 This register identified 7596 patients with diabetes in Tayside, giving a prevalence of diabetes of 1.94% Record linkage was more sensitive than general practice registers in ascertaining cases of known diabetes A unique patient identifier, the community health number, was fundamental for successful record linkage