Validation of computerized diagnostic information in a clinical database from a national equine clinic network

Table 4 Logistic regression analysis

Explanatory variable	Odds ratio	95% CI
Baseline
Type of visit: First visit	3.8	1.4, 10
Follow up visit	baseline
Explicit diagnostic code present in the VCR: yes	32	7.2, 146
No code present	baseline
System Skin and Hooves	0.6	0.1, 2.9
System Respiration	1.0	0.2, 4.6
System Skeletal	1.5	0.3, 8.1
System Other	1.8	0.2, 17
System Whole body	13	2.7, 63
System Joints	baseline

Modelling the effect of different fixed effects on the outcome correctness¹, results from the multivariable logistic regression model based on one observation per visit (n = 396) in a sample of visits at 18 horse clinics in Sweden during 2002.
¹ Defined as the proportion of recorded disease events in the database that truly happened according to the veterinary clinical records (which were considered as the gold standard)

ISSN: 1751-0147