A benchmark too far: findings from a national survey of surgical site infection surveillance

2013 ◽  
Vol 83 (2) ◽  
pp. 87-91 ◽  
Author(s):  
J. Tanner ◽  
W. Padley ◽  
M. Kiernan ◽  
D. Leaper ◽  
P. Norrie ◽  
...  
2019 ◽  
Vol 101 (7) ◽  
pp. 463-471
Author(s):  
JLC Wong ◽  
CWY Ho ◽  
G Scott ◽  
JT Machin ◽  
TWR Briggs ◽  
...  

Introduction Surgical site infections are associated with increased morbidity and mortality in patients. The Getting It Right First Time surgical site infection programme set up a national survey to review surgical site infection rates in surgical units in England. The objectives were for frontline clinicians to assess the rates of infection following selected procedures, to examine the risk of significant complications and to review current practice in the prevention of surgical site infection. Methods A national survey was launched in April 2017 to assess surgical site infections within 13 specialties: breast surgery, cardiothoracic surgery, cranial neurosurgery, ear, nose and throat surgery, general surgery, obstetrics and gynaecology, ophthalmology, oral and maxillofacial surgery, orthopaedic surgery, paediatric surgery, spinal surgery, urology and vascular surgery. All participating trusts prospectively identified and collected supporting information on surgical site infections diagnosed within the six-month study period. Results Data were received from 95 NHS trusts. A total of 1807 surgical site infection cases were reported. There were variations in rates reported by trusts across specialties and procedures. Reoperations were reported in 36.2% of all identified cases, and surgical site infections are associated with a delayed discharge rate of 34.1% in our survey. Conclusion The Getting It Right First Time surgical site infection programme has introduced a different approach to infection surveillance in England. Results of the survey has demonstrated variation in surgical site infection rates among surgical units, raised the importance in addressing these issues for better patient outcomes and to reduce the financial burden on the NHS. Much work remains to be done to improve surgical site infection surveillance across surgical units and trusts in England.


2008 ◽  
Vol 31 (4) ◽  
pp. 21 ◽  
Author(s):  
G W Rose ◽  
V R Roth ◽  
K N Suh ◽  
M Taljaard ◽  
C Van Walraven ◽  
...  

Background/Purpose: Surgical site infection surveillance to determineincidence is a key infection control activity. Case detection is labour-intensive, therefore most infection control programs use manual or simple electronic mechanisms to “trigger” chart review. However, such “trigger” mechanisms are also labour-intensive, and often of poor specificity. Our objective is to develop a complex trigger mechanism using data from an electronic data warehouse, to improve specificity of surveillance of surgical site infection compared to current trigger mechanisms. Methods: We will derive an electronic trigger tool for cardiac surgical site infection surveillance using a nested case-control design, among a cohort of all patients undergoing coronary artery bypass grafting, cardiac valve repairor replacement, or heart transplant at the University of Ottawa Heart Institute, from July 1 2004 to June 30 2007. We will perform a systematic literature review to identify potential trigger factors to include in the model, then construct the trigger tool by backwards stepwise logistic regression. The best-fit model will be used to calculate the probability of surgical site infection. We will select the threshold probability to use in surveillance by visual inspection of receiver-operator-characteristic curves. The accuracy of this electronic trigger mechanism will be compared to pre-existing manual and simple electronic mechanisms using relative true positive ratios and relative false positive ratios. Results/Conclusions: We have selected 200 cases of surgical site infection and 541 controls from among 3744 procedures performed during the study period. As of the date ofthis abstract we are still undertaking the systematic review.


2020 ◽  
Vol 41 (S1) ◽  
pp. s157-s157
Author(s):  
Kelly Baekyung Choi ◽  
John Conly ◽  
Blanda Chow ◽  
Joanne Embree ◽  
Bonita Lee ◽  
...  

Background: Surgical site infection (SSI) after cerebrospinal fluids (CSF) shunt surgery is thought to be acquired intraoperatively. Biomaterial-associated infection can present up to 1 year after surgery, but many national systems have shortened follow-up to 90 days. We compared 3- versus 12-month follow-up periods to determine the nature of case ascertainment in the 2 periods. Methods: Participants of any age with placement of an internal CSF shunt or revision surgical manipulation of an existing internal shunt identified in the Canadian Nosocomial Infection Surveillance Program (CNISP) participating hospitals between 2006 and 2018 were eligible. We excluded patients with external shunting devices or culture-positive CSF at the time of surgery. Patients were followed for 12 months after surgery for the primary outcome of a CSF infection with a positive CSF culture by review of laboratory and health records. Patients were categorized as adult (aged ≥18 years) or pediatric (aged < 18 years). The infection rate was expressed as the number of CSF shunt-associated infections divided by the number of shunt surgeries per 100 procedures. Results: In total, 325 patients (53% female) met inclusion criteria in 14 hospitals from 7 provinces were identified. Overall, 46.1% of surgeries were shunt revisions and 90.3% of shunts were ventriculoperitoneal. For pediatric patients, the median age was 0.7 years (IQR, 0.2–7.0). For adult patients, the median age was 47.9 years (IQR, 29.6–64.6). The SSI rates per 100 procedures were 3.69 for adults and 3.65 for pediatrics. The overall SSI rates per 100 procedures at 3 and 12 months were 2.74 (n = 265) and 3.48 (n = 323), respectively. By 3 months (90 days), 82% of infection cases were identified (Fig. 1). The median time from procedure to SSI detection was 30 days (IQR, 10–65). No difference was found in the microbiology of the shunt infections at 3- and 12-month follow-ups. The most common pathogens were coagulase-negative Staphylococcus (43.6 %), followed by S. aureus (24.8 %) and Propionibacterium spp (6.5 %). No differences in age distribution, gender, surgery type (new or revision), shunt type, or infecting organisms were observed when 3- and 12-month periods were compared. Conclusions: CSF-SSI surveillance for 3 versus 12 months would capture 82.0% (95% CI, 77.5–86.0) of cases, with no significant differences in the patient characteristics, surgery types, or pathogens. A 3-month follow-up can reduce resources and allow for more timely reporting of infection rates.Funding: NoneDisclosures: None


2020 ◽  
Vol 21 (8) ◽  
pp. 716-721 ◽  
Author(s):  
Marta Luisa Ciofi Degli Atti ◽  
Fabrizio Pecoraro ◽  
Simone Piga ◽  
Daniela Luzi ◽  
Massimiliano Raponi

2020 ◽  
Vol 21 (7) ◽  
pp. 621-625
Author(s):  
Joseph D. Forrester ◽  
Allison E. Berndtson ◽  
Jarrett Santorelli ◽  
Eric Raschke ◽  
Thomas G. Weiser ◽  
...  

2018 ◽  
Vol 100 (4) ◽  
pp. 371-377 ◽  
Author(s):  
G. Godbole ◽  
C. Wloch ◽  
P. Harrington ◽  
N.Q. Verlander ◽  
S. Hopkins ◽  
...  

2011 ◽  
Vol 19 (2) ◽  
pp. 269-276 ◽  
Author(s):  
Flávia Falci Ercole ◽  
Tânia Couto Machado Chianca ◽  
Denise Duarte ◽  
Carlos Ernesto Ferreira Starling ◽  
Mariângela Carneiro

The applicability of the risk index for surgical site infection of the National Nosocomial Infection Surveillance (NNIS) has been evaluated for its performance in different surgeries. In some procedures, it is necessary to include other variables to predict. Objective: to evaluate the applicability of the NNIS index for prediction of surgical site infection in orthopedic surgeries and to propose an alternative index. The study involved a historical cohort of 8236 patients who had been submitted to orthopaedic surgery. Statistical analysis was performed using multivariate logistic regression to fit the model. The incidence of infection was 1.41%. Prediction models were evaluated and compared to the NNIS index. The proposed model was not considered a good predictor of infection, despite moderately stratified orthopedic surgical patients in at least three of the four scores. The alternative model scored higher than the NNIS models in the prediction of infection.


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