The objective of this study was to investigate the accuracy of using an automated approach to administrative claims data to assess the rate and risk factors for surgical site infection (SSI) in spinal procedures.
SSI is a major indicator of health care quality. A wide range of SSI rates have been proposed in the literature depending on clinical setting and procedure type.
All spinal surgeries performed at a university-affiliated tertiary-care center from July 2005 to December 2010 were identified using diagnosis-related group, current procedural terminology, and International Classification of Diseases, Ninth Revision (ICD-9) codes and were validated through chart review. Rates of SSI and associated risk factors were calculated using univariate regression analysis. Odds ratios were calculated through multivariate logistic regression.
A total of 6628 hospital visits were identified. The cumulative incidence of SSI was 2.9%. Procedural risk factors associated with a statistically significant increase in rates of infection were the following: sacral involvement (9.6%), fusions greater than 7 levels (7.8%), fusions greater than 12 levels (10.4%), cases with an osteotomy (6.5%), operative time longer than 5 hours (5.1%), transfusions of red blood cells (5.0%), serum (7.4%), and autologous blood (4.1%). Patient-based risk factors included anemia (4.3%), diabetes mellitus (4.2%), coronary artery disease (4.7%), diagnosis of coagulopathy (7.8%), and bone or connective tissue neoplasm (5.0%).
Used individually, diagnosis-related group, current procedural terminology, and ICD-9 codes cannot completely capture a patient population. Using an algorithm combining all 3 coding systems to generate both inclusion and exclusion criteria, we were able to analyze a specific population of spinal surgery patients within a high-volume medical center. Within that group, risk factors found to increase infection rates were isolated and can serve to focus hospital-wide efforts to decrease surgery-related morbidity and improve patient outcomes.
The accuracy of using administrative claims data to assess rates and risk factors for surgical site infection was examined in this retrospective analysis. Administrative coding systems were combined to generate a tool to provide a more granular assessment of surgical site infection based on spine surgery procedures and patient demographics.
From the Department of Orthopaedic Surgery, University of California, San Francisco, CA.
Address correspondence and reprint requests to Amir Abdul-Jabbar, BA, Department of Orthopaedic Surgery, University of California, 500 Parnassus Ave., MU-320W, San Francisco, CA 94143; E-mail: firstname.lastname@example.org
Acknowledgment date: August 16, 2011. First revision date: November 25, 2011. Acceptance date: December 5, 2011.
The manuscript submitted does not contain information about medical device(s)/drug(s).
Institutional funds were received to support this work.
No benefits in any form have been or will be received from a commercial party related directly or indirectly to the subject of this manuscript.