ArticleFrontiers in medicine2026
Application of failure mode and effects analysis combined with bundled management measures in reducing ICU-acquired infections.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To systematically evaluate the application value and implementation effectiveness of a Failure Mode and Effects Analysis (FMEA)-based bundled management strategy in the precise prevention and control of hospital-acquired infections (HAIs) in the Intensive Care Unit (ICU) of a specialized oncology hospital. Methods: A single-cohort study with pre-post measurements was conducted in the ICU of a tertiary Grade A specialized oncology hospital. The pre-implementation period included 2,975 patients admitted from January to December 2024, receiving conventional HAI prevention and control measures. The post-implementation period included 1,522 patients admitted from January to June 2025, who received an FMEA-driven bundled management strategy in addition to conventional measures. A multidisciplinary FMEA team identified potential failure modes using the "Man, Machine, Material, Method, Environment, Measurement" framework. Risks were quantified using the Risk Priority Number (RPN = Severity × Occurrence × Detection), and high-risk failure modes (RPN ≥ 80) were targeted with multi-dimensional bundled interventions (e.g., multi-departmental coordination, stratified training, hand hygiene improvement). Outcomes included HAI incidence, device-associated infection rates [Ventilator-Associated Pneumonia (VAP), Central Line-Associated Bloodstream Infection (CLABSI), Catheter-Associated Urinary Tract Infection (CAUTI)], hand hygiene compliance, and environmental cleaning quality. Results: Following the intervention, overall HAI incidence decreased significantly from 2.6% (77 infections in 2,975 patients) to 1.6% (25 infections in 1,522 patients) (χ Conclusion: The FMEA-based bundled management strategy effectively identifies and mitigates high-risk vulnerabilities in ICU HAI prevention and control. It significantly reduces HAI and device-associated infection rates while improving hand hygiene compliance and environmental disinfection quality. This model provides an evidence-based paradigm for precise HAI prevention and control in specialized oncology hospital ICUs and holds high potential for broader clinical application.
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