Surveillance of surgical site infections by surgeons: biased underreporting or useful epidemiological data?
- PMID: 20227139
- DOI: 10.1016/j.jhin.2009.10.028
Surveillance of surgical site infections by surgeons: biased underreporting or useful epidemiological data?
Abstract
Surgical site infections (SSIs) significantly increase post-operative morbidity and mortality. SSI surveillance is an established monitoring tool and reduces SSI rates. The purpose of this study was to compare prospective in-hospital SSI surveillance (I) by the surgical staff and (II) additionally by an infection control team (ICT). The reference method (III) was defined by data generated by the surgical team, supplemented by the ICT and completed by post-discharge surveillance with a post-operative follow-up of one year representing the sum of all available resources. During 24 months, all consecutive inpatient procedures (N=6283) were prospectively recorded by the surgical staff until patients' discharge (I). SSI rates were compared with the surveillance performed by the ICT (II) and with the reference method (III). The overall SSI rate (reference method) was 4.7% (N=293), of which 187 (63.8%) were detected in-hospital and 106 (36.2%) after discharge. (I) The surgical staff detected 91/187 (48.7%) of in-hospital SSIs [91/293 (31.0%) of the reference], (II) the ICT an additional 96/187 (51.3%) during hospitalisation [96/293 (32.8%) of the reference]. Further cross-checking as performed in the visceral surgery department increased the surgeons' detection rate (I) to 59/105 (56.2%) of in-hospital SSIs [59/147 (40.1%) of the reference]. SSI surveillance by the surgical staff detects almost half of all in-hospital SSIs and has the potential to increase the detection rate by simple interventions such as cross-checking. Such a relatively inexpensive surveillance system is an option for hospitals without an ICT or for low risk surgical procedures. Moreover, trends in SSI rates can easily be detected, allowing early intervention.
Copyright 2009 The Hospital Infection Society. Published by Elsevier Ltd. All rights reserved.
Similar articles
-
When continuous surgical site infection surveillance is interrupted: the Royal Hobart Hospital experience.Am J Infect Control. 2005 Sep;33(7):422-7. doi: 10.1016/j.ajic.2005.04.244. Am J Infect Control. 2005. PMID: 16153490
-
Postdischarge surveillance: the impact on surgical site infection incidence in a Brazilian university hospital.Am J Infect Control. 2004 Oct;32(6):358-61. doi: 10.1016/j.ajic.2004.02.009. Am J Infect Control. 2004. PMID: 15454895
-
Evaluation of postdischarge surveillance of surgical site infections after total hip and knee arthroplasty.Am J Infect Control. 2005 Oct;33(8):455-62. doi: 10.1016/j.ajic.2005.05.008. Am J Infect Control. 2005. PMID: 16216659
-
Surgical site infection surveillance.J Hosp Infect. 2000 Jul;45(3):173-84. doi: 10.1053/jhin.2000.0736. J Hosp Infect. 2000. PMID: 10896795 Review.
-
Preventing surgical site infection. Where now?J Hosp Infect. 2009 Dec;73(4):316-22. doi: 10.1016/j.jhin.2009.03.028. Epub 2009 Aug 22. J Hosp Infect. 2009. PMID: 19700219 Review.
Cited by
-
Agreement among healthcare professionals in ten European countries in diagnosing case-vignettes of surgical-site infections.PLoS One. 2013 Jul 9;8(7):e68618. doi: 10.1371/journal.pone.0068618. Print 2013. PLoS One. 2013. PMID: 23874690 Free PMC article.
-
Using Natural Language Processing to improve EHR Structured Data-based Surgical Site Infection Surveillance.AMIA Annu Symp Proc. 2020 Mar 4;2019:794-803. eCollection 2019. AMIA Annu Symp Proc. 2020. PMID: 32308875 Free PMC article.
-
Imaging-based Surgical Site Infection Detection Using Artificial Intelligence.Ann Surg. 2025 Sep 1;282(3):419-428. doi: 10.1097/SLA.0000000000006826. Epub 2025 Jul 3. Ann Surg. 2025. PMID: 40607706 Free PMC article.
-
Evaluation of surveillance for surgical site infections in Thika Hospital, Kenya.J Hosp Infect. 2013 Feb;83(2):140-5. doi: 10.1016/j.jhin.2012.11.003. Epub 2013 Jan 18. J Hosp Infect. 2013. PMID: 23332563 Free PMC article.
-
Evaluating the optimal timing of surgical antimicrobial prophylaxis: study protocol for a randomized controlled trial.Trials. 2014 May 24;15:188. doi: 10.1186/1745-6215-15-188. Trials. 2014. PMID: 24885132 Free PMC article. Clinical Trial.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical