Hoang SC, Klipfel AA, Roth LA, Vrees M, Schechter S, Shah N. Colon and rectal surgery surgical site infection reduction bundle: to improve is to change. Am J Surg. 2019;217(1):40‐45.

AORN Journal ◽  
2019 ◽  
Vol 109 (5) ◽  
pp. 649-654
Keyword(s):  
Surgical Site Infection ◽  
Rectal Surgery ◽  
Colon And Rectal Surgery ◽  
Site Infection ◽  
Infection Reduction

Colon and rectal surgery surgical site infection reduction bundle: To improve is to change

2019 ◽  
Vol 217 (1) ◽  
pp. 40-45 ◽  
Author(s):  
Sook C. Hoang ◽  
Adam A. Klipfel ◽  
Leslie A. Roth ◽  
Mathew Vrees ◽  
Steven Schechter ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Rectal Surgery ◽  
Colon And Rectal Surgery ◽  
Site Infection ◽  
Infection Reduction

Surgical Site Infection Reduction in C-Sections

2013 ◽  
Vol 41 (6) ◽  
pp. S46 ◽  
Author(s):  
Ida M. Macri ◽  
John J. Stern ◽  
Debra Runyan ◽  
Tanya Carmichael ◽  
Stacy Giles ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Site Infection ◽  
Infection Reduction

A Glycemic Management Protocol for Surgical Site Infection Reduction in Vascular Surgery

2018 ◽  
Vol 42 (5) ◽  
pp. S9
Author(s):  
Julie Shaw ◽  
Filomena Desousa ◽  
Sylvain Gagne ◽  
James Chan ◽  
Sudhir Nagpal ◽  
...  
Keyword(s):  
Vascular Surgery ◽  
Surgical Site Infection ◽  
Site Infection ◽  
Management Protocol ◽  
Infection Reduction ◽  
Glycemic Management

Performance of surgical site infection risk prediction models in colorectal surgery: external validity assessment from three European national surveillance networks

2019 ◽  
Vol 40 (9) ◽  
pp. 983-990 ◽  
Author(s):  
Rebecca Grant ◽  
Martine Aupee ◽  
Nicolas C. Buchs ◽  
Kristine Cooper ◽  
Marie-Christine Eisenring ◽  
...  
Keyword(s):  
Colorectal Surgery ◽  
Risk Model ◽  
Rectal Surgery ◽  
Predictive Ability ◽  
Specific Model ◽  
Colon And Rectal Surgery ◽  
National Surveillance ◽  
Site Infection ◽  
Surveillance Networks ◽  
Routinely Collected Data

AbstractObjective:To assess the validity of multivariable models for predicting risk of surgical site infection (SSI) after colorectal surgery based on routinely collected data in national surveillance networks.Design:Retrospective analysis performed on 3 validation cohorts.Patients:Colorectal surgery patients in Switzerland, France, and England, 2007–2017.Methods:We determined calibration and discrimination (ie, area under the curve, AUC) of the COLA (contamination class, obesity, laparoscopy, American Society of Anesthesiologists [ASA]) multivariable risk model and the National Healthcare Safety Network (NHSN) multivariable risk model in each cohort. A new score was constructed based on multivariable analysis of the Swiss cohort following colorectal surgery, then based on colon and rectal surgery separately.Results:We included 40,813 patients who had undergone elective or emergency colorectal surgery to validate the COLA score, 45,216 patients to validate the NHSN colon and rectal surgery risk models, and 46,320 patients in the construction of a new predictive model. The COLA score’s predictive ability was poor, with AUC values of 0.64 (95% confidence interval [CI], 0.63–0.65), 0.62 (95% CI, 0.58–0.67), 0.60 (95% CI, 0.58–0.61) in the Swiss, French, and English cohorts, respectively. The NHSN colon-specific model (AUC, 0.61; 95% CI, 0.61–0.62) and the rectal surgery–specific model (AUC, 0.57; 95% CI, 0.53–0.61) showed limited predictive ability. The new predictive score showed poor predictive accuracy for colorectal surgery overall (AUC, 0.65; 95% CI, 0.64–0.66), for colon surgery (AUC, 0.65; 95% CI, 0.65–0.66), and for rectal surgery (AUC, 0.63; 95% CI, 0.60–0.66).Conclusion:Models based on routinely collected data in SSI surveillance networks poorly predict individual risk of SSI following colorectal surgery. Further models that include other more predictive variables could be developed and validated.

Colorectal surgical site infection reduction strategies

2016 ◽  
Vol 212 (1) ◽  
pp. 175-177 ◽  
Author(s):  
David DeHaas ◽  
Steven Aufderheide ◽  
Jan Gano ◽  
Julie Weigandt ◽  
Jan Ries ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
Site Infection ◽  
Reduction Strategies ◽  
Infection Reduction

scholarly journals Gaining momentum in colorectal surgical site infection reduction through a human factors engineering approach

2020 ◽  
pp. 1-3
Author(s):  
Aurora E. Pop-Vicas ◽  
Julie A. Keating ◽  
Charles Heise ◽  
Pascale Carayon ◽  
Nasia Safdar
Keyword(s):  
Human Factors ◽  
Surgical Site Infection ◽  
Clinical Work ◽  
Barriers And Facilitators ◽  
Human Factors Engineering ◽  
Site Infection ◽  
Work System ◽  
Engineering Approach ◽  
Infection Reduction ◽  
Multiple Interventions

Surgical site infection (SSI) prevention requires multiple interventions packaged into “bundles.” The implementation of all bundle elements is key to the bundle’s efficacy. A human-factors engineering approach can be used to identify key barriers and facilitators to implementing elements and develop recommendations for bundle implementation within the clinical work system.

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