Randomised crossover trial comparing the performance of Clinical Terms Version 3 and Read Codes 5 byte set coding schemes in general practice.
OBJECTIVE
To determine whether Clinical Terms Version 3 provides greater accuracy and consistency in coding electronic patient records than the Read Codes 5 byte set.


METHODS
Randomised crossover trial. Clinicians coded patient records using both schemes after being randomised in pairs to use one scheme before the other.


METHODS
10 general practices in urban, suburban, and rural environments in Norfolk.


METHODS
10 general practitioners.


METHODS
Concepts were collected from records of 100 patient encounters.


METHODS
Percentage of coded choices ranked as being exact representations of the original terms; percentage of cases where coding choice of paired general practitioners was identical; length of time taken to find a code.


RESULTS
A total of 995 unique concepts were collected. Exact matches were more common with Clinical Terms (70% (95% confidence interval 67% to 73%)) than with Read Codes (50% (47% to 53%)) (P < 0.001), and this difference was significant for each of the 10 participants individually. The pooled proportion with exact and identical matches by paired participants was greater for Clinical Terms (0.58 (0.55 to 0.61)) than Read Codes (0.36 (0.33 to 0.39)) (P < 0.001). The time taken to code with Clinical Terms (30 seconds per term) was not significantly longer than that for Read Codes.


CONCLUSIONS
Clinical Terms Version 3 performed significantly better than Read Codes 5 byte set in capturing the meaning of concepts. These findings suggest that improved coding accuracy in primary care electronic patient records can be achieved with the use of such a clinical terminology.
Brown
Philip J B
PJ
School of Information Systems, University of East Anglia, Norwich NR4 7TJ. Pjbb@hicomm.demon.co.uk
Warmington
Victoria
V
Laurence
Michael
M
Prevost
A Toby
AT
D000328:Adult; D002965:Classification; D018592:Cross-Over Studies; D005194:Family Practice; D005260:Female; D006801:Humans; D008297:Male; D016347:Medical Records Systems, Computerized; D008875:Middle Aged; D012423:Rural Health; D012680:Sensitivity and Specificity; D018881:Suburban Health