Ad. Morris et al., THE DIABETES AUDIT AND RESEARCH IN TAYSIDE SCOTLAND (DARTS) STUDY - ELECTRONIC RECORD LINKAGE TO CREATE A DIABETES REGISTER, BMJ. British medical journal, 315(7107), 1997, pp. 524-528
Objectives: To identify all patients with diabetes in a community usin
g electronic record linkage of multiple data sources and to compare th
is method of case ascertainment with registers of diabetic patients de
rived from primary care.Design: Electronic capture-recapture linkage o
f records included data on all patients attending hospital diabetes cl
inics, all encashed prescriptions for diabetes related drugs and monit
oring equipment, all patients discharged from hospital, patients atten
ding a mobile unit for eye screening, and results for glycated haemogl
obin and plasma glucose concentrations from the regional biochemistry
database, Diabetes registers from primary care were from a random samp
le of eight Tayside general practices. A detailed manual study of rele
vant records for the 35 144 patients registered with these eight gener
al practices allowed for validation of the case ascertainment. Setting
: Tayside region of Scotland, population 391 274 on 1 January 1996. Ma
in outcome measures: Prevalence of diabetes; population of patients id
entified by different data sources; sensitivity and positive predictiv
e value of ascertainment methods. Results: Electronic record linkage i
dentified 7596 diabetic patients, giving a prevalence of known diabete
s of 1.94% (0.21% insulin dependent diabetes, 1.73% non-insulin depend
ent): 63% of patients had attended hospital diabetes clinics, 68% had
encashed diabetes related prescriptions, 72% had attended the mobile e
ye screening unit, and 48% had biochemical results diagnostic of diabe
tes. A further 701 patients had isolated hyperglycaemia (plasma glucos
e > 11.1 mmol/l) but were not considered diabetic by general practitio
ners. Validation against the eight general practices (636 diabetic pat
ients) showed electronic linkage to have a sensitivity of 0.96 and a p
ositive predictive value of 0.95 for ascertainment of known diabetes.
General practice lists had a sensitivity of 0.91 and a positive predic
tive value of 0.98. Conclusions: Electronic record linkage was more se
nsitive than general practice registers in identifying diabetic subjec
ts and identified an additional 0.18% of the population with a history
of hyperglycaemia who might warrant screening for undiagnosed diabete
s.