Using hospital claim data to monitor surgical site infections for inpatient procedures

摘要: Background To facilitate surveillance for surgical site infections, alternative screening models developed on the basis of postoperative antimicrobial dispenses and discharge diagnosis have demonstrated robust performance identifying possible infections. Interest remains using such to extrapolate monitor secular trend infection rates. Objectives Our objective was evaluate feasibility monitoring rates coronary bypass graft craniotomy procedures information extracted from a hospital claim database. Methods We used retrospective cohort study that included adult patients (age ≥18 years) undergoing or between January 2003 June 2006. The model case identification performed in year 2005. up 5 criteria including dispenses, suggesting complication, and/or follow-up inpatient visits within 60 days surgery. sensitivity positive predictive values were calculated by comparing with status determined traditional former National Nosocomial Infection Surveillance definitions. Surgical during period extrapolated compared those obtained surveillance. Results had 81.1% 82.9% detect infections following procedures, respectively. per 100 8.6 procedure 3.4 procedure. These comparable (8.8 graft; 2.7 craniotomy). Conclusion Claim data database potential procedures.