Objective To develop methods of measuring the validity and utility of elect
ronic patient records in general practice.
Design A survey of the main functional areas of a practice and use of indep
endent criteria to measure the validity of the practice database.
Setting A fully computerised general practice in Skipton, north Yorkshire.
Subjects The records of all registered practice patients.
Main outcome measures Validity of the main functional areas of the practice
clinical system. Measures of the completeness, accuracy, validity, and uti
lity of the morbidity data for 15 clinical diagnoses using recognised diagn
ostic standards to confirm diagnoses and identify further cases. Developmen
t of a method and statistical toolkit to validate clinical databases in gen
eral practice.
Results The practice electronic patient records were valid, complete, and a
ccurate for prescribed items (99.7%), consultations (98.1%), laboratory tes
ts (100%), hospital episodes (100%), and childhood immunisations (97%). The
morbidity data for 15 clinical diagnoses were complete (mean sensitivity =
87%) and accurate (mean positive predictive value = 96%). The presence of
the Read codes for the 15 diagnoses was strongly indicative of the true pre
sence of those conditions (mean likelihood ratio = 3917). New interpretatio
ns of descriptive statistics are described that can be used to estimate bot
h the number of true cases that are unrecorded and quantify the benefits of
validating a clinical database for coded entries.
Conclusion This study has developed a method and toolkit for measuring the
validity and utility of general practice electronic patient records.