Impact of a Central-Line Insertion Site Assessment (CLISA) score on localized insertion site infection to prevent central-line–associated bloodstream infection (CLABSI)

Author:

Gohil Shruti K.,Yim Jennifer,Quan Kathleen,Espinoza Maurice,Thompson Deborah J.,Kong Allen P.,Bahadori Bardia,Tjoa Tom,Paiji Chris,Rudkin Scott,Rashid Syma,Hong Suzie S.,Dickey Linda,Alsharif Mohamad N.,Wilson William C.,Amin Alpesh N.,Chang Justin,Khusbu Usme,Huang Susan S.

Abstract

AbstractObjective:To assess the impact of a newly developed Central-Line Insertion Site Assessment (CLISA) score on the incidence of local inflammation or infection for CLABSI prevention.Design:A pre- and postintervention, quasi-experimental quality improvement study.Setting and participants:Adult inpatients with central venous catheters (CVCs) hospitalized in an intensive care unit or oncology ward at a large academic medical center.Methods:We evaluated CLISA score impact on insertion site inflammation and infection (CLISA score of 2 or 3) incidence in the baseline period (June 2014–January 2015) and the intervention period (April 2015–October 2017) using interrupted times series and generalized linear mixed-effects multivariable analyses. These were run separately for days-to-line removal from identification of a CLISA score of 2 or 3. CLISA score interrater reliability and photo quiz results were evaluated.Results:Among 6,957 CVCs assessed 40,846 times, percentage of lines with CLISA score of 2 or 3 in the baseline and intervention periods decreased by 78.2% (from 22.0% to 4.7%), with a significant immediate decrease in the time-series analysis (P < .001). According to the multivariable regression, the intervention was associated with lower percentage of lines with a CLISA score of 2 or 3, after adjusting for age, gender, CVC body location, and hospital unit (odds ratio, 0.15; 95% confidence interval, 0.06–0.34; P < .001). According to the multivariate regression, days to removal of lines with CLISA score of 2 or 3 was 3.19 days faster after the intervention (P < .001). Also, line dwell time decreased 37.1% from a mean of 14 days (standard deviation [SD], 10.6) to 8.8 days (SD, 9.0) (P < .001). Device utilization ratios decreased 9% from 0.64 (SD, 0.08) to 0.58 (SD, 0.06) (P = .039).Conclusions:The CLISA score creates a common language for assessing line infection risk and successfully promotes high compliance with best practices in timely line removal.

Publisher

Cambridge University Press (CUP)

Subject

Infectious Diseases,Microbiology (medical),Epidemiology

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