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Changes in the accuracy of administrative data for the detection of surgical site infections

Published online by Cambridge University Press:  17 December 2020

Brian T. Bucher
Affiliation:
Department of Surgery, University of Utah Schools of Medicine, Salt Lake City, Utah
Meng Yang
Affiliation:
Department of Surgery, University of Utah Schools of Medicine, Salt Lake City, Utah
Julie Arndorfer
Affiliation:
Division of Infectious Diseases, Office of Patient Experience, Intermountain Healthcare, Salt Lake City, Utah
Cherie Frame
Affiliation:
Division of Infectious Diseases, Office of Patient Experience, Intermountain Healthcare, Salt Lake City, Utah
Jan Orton
Affiliation:
Clinical Data Management, Intermountain Healthcare, Salt Lake City, Utah
Matthew H. Samore
Affiliation:
Department of Medicine, University of Utah Schools of Medicine, Salt Lake City, Utah VA Salt Lake City Healthcare System, IDEAS Center 2.0, Salt Lake City, Utah
Kristin K. Dascomb
Affiliation:
Division of Infectious Diseases, Office of Patient Experience, Intermountain Healthcare, Salt Lake City, Utah
Corresponding
E-mail address:

Abstract

We performed a retrospective analysis of the changes in accuracy of International Classification of Diseases, Clinical Modification (ICD-CM) diagnosis codes for colectomy and hysterectomy surgical site infection surveillance. After the transition from ICD-CM ninth edition to tenth edition codes, there was no significant change in the accuracy of these codes for SSI surveillance.

Type
Concise Communication
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

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References

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