Clean It Like You Mean It

New York Presbyterian/Morgan Stanley Children’s Hospital (New York, New York)

CSI Summary

Available only to registered AACN.org users.

CSI Presentation

Available only to registered AACN.org users.

CSI Toolkit

Available only to users with a paid AACN membership.

Added to Collection

Project Topic

Central Line-Associated Blood Stream Infection (CLABSI) Prevention

CSI Participants

Brian Harding, RN, BSN, CCRN
Kathy Lee, RN, BSN, CCRN
Regan Morimoto, RN, CCRN
Anisha Soman, RN, MSN
Svetlana Streltsova, RN, MSN, CCRN

Project Goals/Objectives

  1. To reduce the morbidity associated with CLABSI in our patient population
  2. To improve patient outcomes
  3. To reinforce and improve best practices
  4. To decrease hospital overall cost
  5. To decrease hospital length of stay (LOS) associated with CLABSI
  6. To reduce the incidence of CLABSI 50 percent

Project Outcomes

  1. Decreased the PICU CLABSI rate 21 percent
  2. Decreased the PCIUC CLABSI rate 100 percent to zero CLABSIs
  3. Decreased the average LOS four percent (1.11 days) in the NICU and 35 percent (4.87 days) in the PICU
  4. Decreased total number of CLABSIs for all units 25 percent
  5. These outcomes resulted in savings of $37,134, with a projected annual fiscal impact of $99,024.

Sign in to AACN.org to download the complete presentation and project summary. Not an AACN.org registered user? Sign up today.




Permission to Reuse Materials
The materials associated with this AACN Clinical Scene Investigator (CSI) Academy project are the property of the participating hospital noted above, not AACN. Requests to use content contained in the CSI team’s summary, presentation or toolkit should be directed to the hospital. We suggest reaching out to the hospital’s Communications, Marketing or Nursing Education department for assistance.

Disclaimer
The AACN CSI Academy program supports change projects based on quality improvement methods. Although CSI teams seek to ensure linkage between their project and clinical/fiscal outcomes, data cannot be solely attributed to the project and are estimations of impact.