help button home button JAMIA Hate scrolling?
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH

First published April 25, 2007 as JAMIA PrePrint; doi:10.1197/jamia.M2372
Journal of the American Medical Informatics Association 2007;14(4):497-506
© 2007 American Medical Informatics Association


A more recent version of this article appeared on July 1, 2007
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
M2372v1
14/4/497    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Andrews, J. E.
Right arrow Articles by Krischer, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Andrews, J. E.
Right arrow Articles by Krischer, J.

Submitted on January 10, 2007
Accepted on April 9, 2007

Variation of SNOMED CT Coding of Clinical Research Concepts among Coding Experts

James E. Andrews PhD1*, Rachel L. Richesson PhD, MPH2, and Jeffrey Krischer PhD3

Affiliation of the authors: 1 School of Library and Information Science, University of South Florida, Tampa, FL ; 2 Epidemiology Center, University of South Florida, Tampa, FL ; 3 Pediatrics Epidemiology Center, University of South Florida, Tampa, FL

* To whom correspondence should be addressed.

Objective To compare consistency of coding among professional SNOMED CT coders representing three commercial providers of coding services when coding clinical research concepts with SNOMED CT.

Design A sample of clinical research questions from case report forms (CRFs) generated by the NIH-funded Rare Disease Clinical Research Network (RDCRN) were sent to three coding companies with instructions to code the core concepts using SNOMED CT. The sample consisted of 319 question/answer pairs from 15 separate studies. The companies were asked to select SNOMED CT concepts (in any form, including post-coordinated) that capture the core concept(s) reflected in the question. Also, they were asked to state their level of certainty, as well as how precise they felt their coding was.

Measurements Basic frequencies were calculated to determine raw level agreement among the companies and other descriptive information. Krippendorff's alpha was used to determine a statistical measure of agreement among the coding companies for several measures (semantic, certainty, and precision).

Results No significant level of agreement among the experts was found.

Conclusion There is little semantic agreement in coding of clinical research data items across coders from 3 professional coding services, even using a very liberal definition of agreement.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 1994 by the American Medical Informatics Association.