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Use of Diagnosis Codes and/or Wound Culture Results for Surveillance of Surgical Site Infection after Mastectomy and Breast Reconstruction

Published online by Cambridge University Press:  02 January 2015

Margaret A. Olsen*
Affiliation:
Division of Infectious Diseases, Washington University School of Medicine, St. Louis, Missouri
Victoria J. Fraser
Affiliation:
Division of Infectious Diseases, Washington University School of Medicine, St. Louis, Missouri
*
Division of Infectious Diseases, Washington University School of Medicine, Campus Box 8051, 660 South Euclid Avenue, St. Louis, MO 63110 (molsen@dom.wustl.edu)

Abstract

We compared surveillance of surgical site infection (SSI) after major breast surgery by using a combination of International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes and microbiology-based surveillance. The sensitivity of the coding algorithm for identification of SSI was 87.5%, and the sensitivity of wound culture for identification of SSI was 78.1%. Our results suggest that SSI surveillance can be reliably performed using claims data.

Type
Concise Communications
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2010

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References

1.Olsen, MA, Lefta, M, Dietz, JR, et al.Risk factors for surgical site infection after major breast operation. J Am Coll Surg 2008;207:326335.Google Scholar
2.Olsen, MA, Chu-Ongsakul, S, Brandt, KE, Dietz, JR, Mayfield, J, Fraser, VJ. Hospital-associated costs due to surgical site infection after breast surgery. Arch Surg 2008;143:5360.Google Scholar
3. Centers for Disease Control and Prevention. Surgical site infection (SSI) event. Centers for Disease Control and Prevention Web site. http://www.cdc.gov/nhsn/PDFs/pscManual/9pscSSIcurrent.pdf. Published February 2010. Accessed May 5, 2009.Google Scholar
4.Fisher, ES, Whaley, FS, Krushat, WM, et al.The accuracy of Medicare's hospital claims data: progress has been made, but problems remain. Am J Public Health 1992;82:243248.CrossRefGoogle ScholarPubMed
5.Sherman, ER, Heydon, KH, St John, KH, et al.Administrative data fail to accurately identify cases of healthcare-associated infection. Infect Control Hosp Epidemiol 2006;27:332337.CrossRefGoogle ScholarPubMed
6.Stevenson, KB, Khan, Y, Dickman, J, et al.Administrative coding data, compared with CDC/NHSN criteria, are poor indicators of health care-associated infections. Am J Infect Control 2008;36:155164.Google Scholar
7.Best, WR, Khuri, SF, Phelan, M, et al.Identifying patient preoperative risk factors and postoperative adverse events in administrative databases: results from the Department of Veterans Affairs National Surgical Quality Improvement Program. J Am Coll Surg 2002;194:257266.CrossRefGoogle ScholarPubMed
8.Yokoe, DS, Noskin, GA, Cunningham, SM, et al.Enhanced identification of postoperative infections among inpatients. Emerg Infect Dis 2004;10:19241930.CrossRefGoogle ScholarPubMed
9.Hebden, J, Roghmann, MC. Use of ICD-9-CM coding as a case-finding method for sternal wound infections after CABG procedures. Am J Infect Control 2000;28:202203.CrossRefGoogle ScholarPubMed
10.Cadwallader, HL, Toohey, M, Linton, S, Dyson, A, Riley, TV. A comparison of two methods for identifying surgical site infection following orthopaedic surgery. J Hosp Infect 2001;48:261266.CrossRefGoogle ScholarPubMed
11.Spolaore, P, Pellizzer, G, Fedeli, U, et al.Linkage of microbiology reports and hospital discharge diagnoses for surveillance of surgical site infections. 7 Hosp Infect 2005;60:317320.Google Scholar
12.Bolon, MK, Hooper, D, Stevenson, KB, et al.Improved surveillance for surgical site infections after orthopedic implantation procedures: extending applications for automated data. Clin Infect Dis 2009;48:12231229.Google Scholar
13.Baker, C, Luce, J, Chenoweth, C, Friedman, C. Comparison of case-finding methodologies for endometritis after cesarean section. Am J Infect Control 1995;23:2733.Google Scholar