Assessing specific secondary ICD-9-CM codes as potential predictors of surgical site infections - 12/08/11
Address correspondence to Kurt B. Stevenson, MD, MPH, Associate Professor of Medicine, Division of Infectious Diseases, Department of Internal Medicine, N1122 Doan Hall, 410 West 10th Ave, Columbus, OH 43210.Abstract |
Background |
Public reporting and reduced Medicare payments because of health care-associated infections have resulted in the consideration of administrative discharge codes as markers of health care-associated infections. This study aims to determine whether specific secondary ICD-9-CM infection codes linked to cases from a large data set of surgical procedures are predictors of surgical site infections (SSIs).
Methods |
All patients undergoing 1 of 9 surgical procedures from January 1, 2005, through December 31, 2005, at a large academic medical center and who were assigned a secondary ICD-9-CM infection code at discharge were eligible for study inclusion. All cases were reviewed to determine the presence of SSIs. Logistic regression was used to determine which secondary codes were predictors of SSIs.
Results |
Among 75 secondary infection codes applied at discharge to 454 patients, only 1 code (998.59) appeared to be reliably associated with SSIs. Two other general infection codes (996.63 and 996.67) and 1 specific infection code (320.3) may also have utility.
Conclusion |
Administrative coding data do not perform well to identify SSIs. Some general secondary infection codes, however, may have the potential to be utilized in screening algorithms of electronic health data to assist in SSI surveillance.
Le texte complet de cet article est disponible en PDF.Key Words : Health care-associated infection, ICD-9 secondary codes, infection surveillance
Plan
| Supported by grant funding from the Association for Professionals in Infection Control and Epidemiology (APIC) Scientific Research Council. |
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| Conflicts of interest: None to report. |
Vol 38 - N° 9
P. 701-705 - novembre 2010 Retour au numéro
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