Interdisciplinary Research Award
Applicants: Xiaoyan Song, PhD, MBBS, CIC; Robin Steinhorn, MD; Xin Ni, MD, PhD
Objectives:
- To generate preliminary data to demonstrate that improving diagnostic accuracy for hospital onset infections (HOIs) is feasible in pediatric intensive care unit in China
- To show that preventing HOIs is achievable by applying evidence-based infection control practices
Project Summary:
Hospital onset infections (HOIs) can occur as an endogenous process due to a patient’s underlying disease or be acquired as a result of sub-optimal patient care. The latter has detrimental impact on patient outcomes, causes excess use of antibiotics and subsequent multidrug resistant organisms, bears legal implications, but more importantly, is often preventable. This pilot study aims to collaborate with Beijing Children’s Hospital in China to develop and test an algorithm that will characterize HOIs by the primary source of infection in a pediatric intensive care unit, to apply evidence-based infection control practices to prevent HOIs, and to use central line associated bloodstream infections (CLABSIs) as an example to demonstrate the value of preventing HOIs on improving patient outcomes and reducing antibiotic use.
