Identifying and Mitigating Disparities in Central Line-Associated Bloodstream Infections in Minoritized Racial,

Caitlin L McGrath1,2, Brendan Bettinger3, Megan Stimpson3

  • 1University of Washington, Seattle, Washington.

JAMA Pediatrics
|May 30, 2023
PubMed

Insights

Racial and language disparities in central catheter-associated bloodstream infections (CLABSI) were found in pediatric patients. Quality improvement initiatives significantly reduced these infection rates, highlighting the need for targeted interventions to address systemic inequities.

Area of Science:

  • Health Services Research
  • Infectious Disease Epidemiology
  • Health Equity

Background:

  • Inequitable care due to racism and bias is documented in healthcare.
  • The impact of these disparities on healthcare-associated infections (HAIs) is less understood.

Purpose of the Study:

  • To determine disparities in central catheter-associated bloodstream infection (CLABSI) rates for pediatric patients from minoritized racial, ethnic, and language groups.
  • To evaluate the outcomes of quality improvement (QI) initiatives aimed at reducing these disparities.

Main Methods:

  • Retrospective cohort study of 8269 pediatric patients with central catheters from 2012-2019.
  • Analysis of patient race, ethnicity, and language data.
  • Cox proportional hazards regression and interrupted time series analysis to assess disparities and QI outcomes.

Main Results:

  • Higher unadjusted CLABSI rates were observed in Black patients and patients with limited English proficiency (LOE).
  • Adjusted models showed significantly higher hazards for CLABSI in Black patients (aHR, 1.8) and LOE patients (aHR, 1.6).
  • Quality improvement interventions led to statistically significant reductions in CLABSI rates for both Black patients and LOE patients.

Conclusions:

  • Disparities in CLABSI rates for Black and LOE pediatric patients persist after adjusting for risk factors, suggesting systemic racism and bias.
  • Targeted quality improvement interventions are effective in reducing healthcare-associated infections and improving equity.
  • Stratifying outcomes to identify disparities before QI implementation is crucial for informing targeted interventions.
Abstract

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