Evidence Hub

Evaluating the efficacy of nursing interventions in reducing infection rates among emergency department patients

Cui H, Wang H

International emergency nursing, 2025

5,500 participants · 2 citations

Abstract

Background: Healthcare-associated infections (HAIs) are a significant concern in emergency departments (EDs), where high patient volumes, rapid decision-making, and frequent invasive procedures increase infection risks. Despite existing infection prevention measures, the effectiveness of nursing interventions in reducing HAIs in ED settings remains underexplored.

Objective: This study evaluates the efficacy of nursing interventions in reducing HAIs among ED patients through a systematic review and meta-analysis, identifying the most effective strategies and providing evidence-based recommendations for infection control.

Methods: A systematic review and meta-analysis were conducted following PRISMA guidelines. A comprehensive search of PubMed, Cochrane Library, Scopus, and Web of Science was performed to identify relevant studies assessing nursing-led interventions for infection prevention in EDs. Eligible studies included randomized controlled trials (RCTs), quasi-experimental studies, and observational research reporting infection rates as primary outcomes. A random-effects model was used to estimate pooled effect sizes, and subgroup analyses explored the relative effectiveness of different intervention types (hygiene protocols, care bundles, patient education, environmental cleaning). Heterogeneity was assessed using I2 statistics, and publication bias was examined using funnel plots and Egger's test.

Results: Ten high-quality studies involving 5,500 patients were…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 5,500 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free