A quality improvement initiative to reduce central line infection in neonates using checklists

Jacqueline E Taylor1,2, Susan J McDonald3, Arul Earnest4

  • 1LaTrobe University, Bundoora, Victoria, Australia. Jacquie.taylor@monashhealth.org.

Insights

Checklists significantly reduced central line-associated blood stream infections (CLABSI) in neonates by 41%. Robust education and feedback are vital for checklist success in preventing these infections.

Area of Science:

  • Neonatal Medicine
  • Infection Control
  • Quality Improvement

Background:

  • Central line-associated blood stream infections (CLABSI) are a significant complication in neonates, increasing hospital stay, costs, and mortality.
  • Existing clinical guidelines aim to prevent CLABSI, but effective implementation remains a challenge.

Purpose of the Study:

  • To evaluate the impact of implementing insertion, maintenance, and access checklists on CLABSI rates in a neonatal unit.
  • To assess the effectiveness of a quality improvement initiative using checklists to reduce neonatal CLABSI.

Main Methods:

  • A quasi-experimental, pre-post design study was conducted over 24 months.
  • Checklists for central line insertion, daily maintenance, and procedural access were introduced.
  • Interrupted time series analysis was used to evaluate the impact of checklist implementation on CLABSI rates.

Main Results:

  • Definite CLABSI rates decreased by 41% in the post-intervention phase, from 13.8 to 7.8 per 1000 central-line days.
  • A statistically significant change in mean CLABSI levels was observed post-intervention (p=0.039).
  • Checklist compliance for insertion was 70%, and for daily maintenance was 66%.

Conclusions:

  • Quality improvement initiatives incorporating checklists, education, and feedback significantly reduce CLABSI in neonatal units.
  • Checklists are effective tools for reducing central line infections in neonates.
  • Sustained success of checklists requires robust education, leadership support, and continuous feedback mechanisms.

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