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First published July 27, 2005 as JAMIA PrePrint; doi:10.1197/jamia.M1841
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J Am Med Inform Assoc. 2005;12:618-629. DOI 10.1197/jamia.M1841.
© 2005 American Medical Informatics Association


Research Paper

Generating a Reliable Reference Standard Set for Syndromic Case Classification

Wendy W. Chapman, PhD, John N. Dowling, MD, MS and Michael M. Wagner, MD, PhD

Affiliations of the authors: RODS Laboratory, Center for Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA.

Correspondence and reprints: Wendy W. Chapman, PhD, Center for Biomedical Informatics, University of Pittsburgh, Suite 8084, Forbes Tower, 200 Lothrop Street, Pittsburgh, PA 15213-2582; e-mail: <chapman{at}cbmi.pitt.edu>.

Received for publication: 03/31/05; accepted for publication: 06/07/05.

Objective To generate and measure the reliability for a reference standard set with representative cases from seven broad syndromic case definitions and several narrower syndromic definitions used for biosurveillance.

Design From 527,228 eligible patients between 1990 and 2003, we generated a set of patients potentially positive for seven syndromes by classifying all eligible patients according to their ICD-9 primary discharge diagnoses. We selected a representative subset of the cases for chart review by physicians, who read emergency department reports and assigned values to 14 variables related to the seven syndromes.

Measurements (1) Positive predictive value of the ICD-9 diagnoses; (2) prevalence of the syndromic definitions and related variables; (3) agreement between physician raters demonstrated by {kappa}, {kappa} corrected for bias and prevalence, and Finn's r; and (4) reliability of the reference standard classifications demonstrated by generalizability coefficients.

Results Positive predictive value for ICD-9 classification ranged from 0.33 for botulinic to 0.86 for gastrointestinal. We generated between 80 and 566 positive cases for six of the seven syndromic definitions. Rash syndrome exhibited low prevalence (34 cases). Agreement between physician raters was high, with {kappa} > 0.70 for most variables. Ratings showed no bias. Finn's r was >0.70 for all variables. Generalizability coefficients were >0.70 for all variables but three.

Conclusion Of the 27 syndromes generated by the 14 variables, 21 showed high enough prevalence, agreement, and reliability to be used as reference standard definitions against which an automated syndromic classifier could be compared. Syndromic definitions that showed poor agreement or low prevalence include febrile botulinic syndrome, febrile and nonfebrile rash syndrome, respiratory syndrome explained by a nonrespiratory or noninfectious diagnosis, and febrile and nonfebrile gastrointestinal syndrome explained by a nongastrointestinal or noninfectious diagnosis.







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Copyright © 2005 by the American Medical Informatics Association.