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First published July 27, 2005 as JAMIA PrePrint; doi:10.1197/jamia.M1841
Journal of the American Medical Informatics Association 2005;12(6):618-629
© 2005 American Medical Informatics Association


A more recent version of this article appeared on November 1, 2005
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Submitted on March 31, 2005
Accepted on June 7, 2005

Generating a Reliable Reference Standard Set for Syndromic Case Classification

Wendy W. Chapman PhD1*, John N. Dowling MD, MS1, and Michael M. Wagner MD, PhD1

Affiliation of the authors: 1 RODS Laboratory, Center for Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA

* To whom correspondence should be addressed.

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 greater than 0.70 for most variables. Ratings showed no bias. Finn's r was above 0.70 for all variables. Generalizability coefficients were above 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 non-febrile Rash syndrome, Respiratory syndrome explained by a non-respiratory or non-infectious diagnosis, and febrile and non-febrile Gastrointestinal syndrome explained by a non-GI or non-infectious diagnosis.







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