Literature DB >> 22890251

A multicenter, phased, cluster-randomized controlled trial to reduce central line-associated bloodstream infections in intensive care units*.

Jill A Marsteller1, J Bryan Sexton, Yea-Jen Hsu, Chun-Ju Hsiao, Christine G Holzmueller, Peter J Pronovost, David A Thompson.   

Abstract

OBJECTIVES: To determine the causal effects of an intervention proven effective in pre-post studies in reducing central line-associated bloodstream infections in the intensive care unit.
DESIGN: We conducted a multicenter, phased, cluster-randomized controlled trial in which hospitals were randomized into two groups. The intervention group started in March 2007 and the control group started in October 2007; the study period ended September 2008. Baseline data for both groups are from 2006.
SETTING: Forty-five intensive care units from 35 hospitals in two Adventist healthcare systems.
INTERVENTIONS: A multifaceted intervention involving evidence-based practices to prevent central line-associated bloodstream infections and the Comprehensive Unit-based Safety Program to improve safety, teamwork, and communication. MEASUREMENTS AND
RESULTS: We measured central line-associated bloodstream infections per 1,000 central line days and reported quarterly rates. Baseline average central line-associated bloodstream infections per 1,000 central line days was 4.48 and 2.71, for the intervention and control groups (p = .28), respectively. By October to December 2007, the infection rate declined to 1.33 in the intervention group compared to 2.16 in the control group (adjusted incidence rate ratio 0.19; p = .003; 95% confidence interval 0.06-0.57). The intervention group sustained rates <1/1,000 central line days at 19 months (an 81% reduction). The control group also reduced infection rates to <1/1,000 central line days (a 69% reduction) at 12 months.
CONCLUSIONS: This study demonstrated a causal relationship between the multifaceted intervention and the reduced central line-associated bloodstream infections. Both groups decreased infection rates after implementation and sustained these results over time, replicating the results found in previous, pre-post studies of this multifaceted intervention and providing further evidence that most central line-associated bloodstream infections are preventable.

Entities:  

Mesh:

Year:  2012        PMID: 22890251     DOI: 10.1097/CCM.0b013e31825fd4d8

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  31 in total

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Journal:  BMJ       Date:  2018-12-05

2.  Central Line-Associated Bloodstream Infection Reduction and Bundle Compliance in Intensive Care Units: A National Study.

Authors:  E Yoko Furuya; Andrew W Dick; Carolyn T A Herzig; Monika Pogorzelska-Maziarz; Elaine L Larson; Patricia W Stone
Journal:  Infect Control Hosp Epidemiol       Date:  2016-04-07       Impact factor: 3.254

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4.  Eliminating Infections in the ICU: CLABSI.

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Journal:  Intensive Care Med       Date:  2017-05-02       Impact factor: 17.440

7.  Capsule Commentary on Linzer et al., Work Condition Interventions Affect Quality and Errors in Primary Care? Results from the Healthy Work Place Study.

Authors:  Rachel Hess
Journal:  J Gen Intern Med       Date:  2017-01       Impact factor: 5.128

8.  Two-State Collaborative Study of a Multifaceted Intervention to Decrease Ventilator-Associated Events.

Authors:  Nishi Rawat; Ting Yang; Kisha J Ali; Mary Catanzaro; Mariah D Cohen; Donna O Farley; Lisa H Lubomski; David A Thompson; Bradford D Winters; Sara E Cosgrove; Michael Klompas; Kathleen A Speck; Sean M Berenholtz
Journal:  Crit Care Med       Date:  2017-07       Impact factor: 7.598

9.  Physician Motivation: Listening to What Pay-for-Performance Programs and Quality Improvement Collaboratives Are Telling Us.

Authors:  Kurt R Herzer; Peter J Pronovost
Journal:  Jt Comm J Qual Patient Saf       Date:  2015-11

10.  Successful implementation of a unit-based quality nurse to reduce central line-associated bloodstream infections.

Authors:  Kerri A Thom; Shanshan Li; Melissa Custer; Michael Anne Preas; Cindy D Rew; Christina Cafeo; Surbhi Leekha; Brian S Caffo; Thomas M Scalea; Matthew E Lissauer
Journal:  Am J Infect Control       Date:  2013-12-17       Impact factor: 2.918

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