Evidence map›Paper›PMID 41318521›Full record

ArticleAntimicrobial resistance and infection control2025

Implementation and impact of a business intelligence system on catheter-related bloodstream infections: a multicenter experience.

Po-Yen Huang, Chien-Long Shih, Yun-Ting Chung, Ming-Wei Lin, Shian-Sen Shie, Ching-Tai Huang

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Antimicrobial resistance and infection control, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Po-Yen HuangDivision of Infectious Diseases, Department of Medicine, Chang Gung Memorial Hospital, No. 5, Fu-Hsin Street, Guishan, 333, Taoyuan, Taiwan. pyhuang@gmail.com.ORCID 0000-0002-4314-6021
Chien-Long ShihDepartment of Management Information Systems, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Yun-Ting ChungChang Gung University College of Medicine, Taoyuan, Taiwan.
Ming-Wei LinChang Gung University College of Medicine, Taoyuan, Taiwan.
Shian-Sen ShieDivision of Infectious Diseases, Department of Medicine, Chang Gung Memorial Hospital, No. 5, Fu-Hsin Street, Guishan, 333, Taoyuan, Taiwan.
Ching-Tai HuangDivision of Infectious Diseases, Department of Medicine, Chang Gung Memorial Hospital, No. 5, Fu-Hsin Street, Guishan, 333, Taoyuan, Taiwan. chingtaihuang@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCentral-line-associated bloodstream infections (CLABSI) and catheter-related bloodstream infections (CRBSI) are associated with increased mortality and healthcare costs. We describe implementing a hospital-wide business intelligence (BI) system coupled with infectious disease (ID) specialist intervention to support proactive CRBSI surveillance.

methodsWe conducted a multicenter, retrospective analysis of a quality improvement initiative from January 2019 to September 2024. A BI system used predefined criteria (leukocytosis, elevated C-reactive protein, prolonged catheter duration, and fever) to identify high-risk patients. Starting in July 2022, ID specialists reviewed these cases and provided advice on catheter reassessment. We employed interrupted time series (ITS) analysis to evaluate quarterly trends in CRBSI incidence and mean central venous catheter (CVC) duration, adjusting for seasonality and conducting a stratified analysis for ICU versus non-ICU settings.

resultsA total of 5090 patients with 6,750 CVC placements were included. While the overall trend for CRBSI incidence was not significantly affected by the intervention, the stratified analysis showed a statistically significant decrease in the CRBSI incidence trend within the ICU setting (slope change Δ = - 0.737/quarter, P = 0.045). No significant change was seen in the non-ICU setting. The intervention's effect on average CVC duration was less evident, with varied and often non-significant changes across different sites.

conclusionA hospital-wide BI system, combined with ID specialist expertise, was associated with a significant reduction in CRBSI incidence over time, especially in the high-risk ICU setting. This technology-focused, expert-supported approach offers a promising approach to improving patient safety and infection control outcomes.

Indexed as

Catheter-Related InfectionsInfection ControlAgedCatheterization, Central VenousCentral Venous CathetersCross InfectionFemaleHumansIncidenceIntensive Care UnitsMaleMiddle AgedQuality ImprovementRetrospective StudiesBusiness intelligence systemCatheter-related bloodstream infectionsCentral line-associated bloodstream infectionsElectronic surveillanceInfection preventionInterrupted time series analysis

Identifiers

PMID41318521
PMCPMC12771846

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.