Systematic scoping review of automated systems for the surveillance of healthcare-associated bloodstream infections related to intravascular catheters.
Details
Serval ID
serval:BIB_2296AD7F04D5
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Systematic scoping review of automated systems for the surveillance of healthcare-associated bloodstream infections related to intravascular catheters.
Journal
Antimicrobial resistance and infection control
Working group(s)
Swissnoso Group
ISSN
2047-2994 (Electronic)
ISSN-L
2047-2994
Publication state
Published
Issued date
28/02/2024
Peer-reviewed
Oui
Volume
13
Number
1
Pages
25
Language
english
Notes
Publication types: Systematic Review ; Journal Article ; Review
Publication Status: epublish
Publication Status: epublish
Abstract
Intravascular catheters are crucial devices in medical practice that increase the risk of healthcare-associated infections (HAIs), and related health-economic adverse outcomes. This scoping review aims to provide a comprehensive overview of published automated algorithms for surveillance of catheter-related bloodstream infections (CRBSI) and central line-associated bloodstream infections (CLABSI).
We performed a scoping review based on a systematic search of the literature in PubMed and EMBASE from 1 January 2000 to 31 December 2021. Studies were included if they evaluated predictive performance of automated surveillance algorithms for CLABSI/CRBSI detection and used manually collected surveillance data as reference. We assessed the design of the automated systems, including the definitions used to develop algorithms (CLABSI versus CRBSI), the datasets and denominators used, and the algorithms evaluated in each of the studies.
We screened 586 studies based on title and abstract, and 99 were assessed based on full text. Nine studies were included in the scoping review. Most studies were monocentric (n = 5), and they identified CLABSI (n = 7) as an outcome. The majority of the studies used administrative and microbiological data (n = 9) and five studies included the presence of a vascular central line in their automated system. Six studies explained the denominator they selected, five of which chose central line-days. The most common rules and steps used in the algorithms were categorized as hospital-acquired rules, infection rules (infection versus contamination), deduplication, episode grouping, secondary BSI rules (secondary versus primary BSI), and catheter-associated rules.
The automated surveillance systems that we identified were heterogeneous in terms of definitions, datasets and denominators used, with a combination of rules in each algorithm. Further guidelines and studies are needed to develop and implement algorithms to detect CLABSI/CRBSI, with standardized definitions, appropriate data sources and suitable denominators.
We performed a scoping review based on a systematic search of the literature in PubMed and EMBASE from 1 January 2000 to 31 December 2021. Studies were included if they evaluated predictive performance of automated surveillance algorithms for CLABSI/CRBSI detection and used manually collected surveillance data as reference. We assessed the design of the automated systems, including the definitions used to develop algorithms (CLABSI versus CRBSI), the datasets and denominators used, and the algorithms evaluated in each of the studies.
We screened 586 studies based on title and abstract, and 99 were assessed based on full text. Nine studies were included in the scoping review. Most studies were monocentric (n = 5), and they identified CLABSI (n = 7) as an outcome. The majority of the studies used administrative and microbiological data (n = 9) and five studies included the presence of a vascular central line in their automated system. Six studies explained the denominator they selected, five of which chose central line-days. The most common rules and steps used in the algorithms were categorized as hospital-acquired rules, infection rules (infection versus contamination), deduplication, episode grouping, secondary BSI rules (secondary versus primary BSI), and catheter-associated rules.
The automated surveillance systems that we identified were heterogeneous in terms of definitions, datasets and denominators used, with a combination of rules in each algorithm. Further guidelines and studies are needed to develop and implement algorithms to detect CLABSI/CRBSI, with standardized definitions, appropriate data sources and suitable denominators.
Keywords
Humans, Catheter-Related Infections/diagnosis, Catheter-Related Infections/epidemiology, Catheter-Related Infections/etiology, Catheterization, Central Venous, Bacteremia/diagnosis, Bacteremia/epidemiology, Bacteremia/etiology, Cross Infection/microbiology, Central Venous Catheters/adverse effects, Central Venous Catheters/microbiology, Delivery of Health Care, Algorithm, Automated monitoring, Automation, CLABSI, CRBSI, Healthcare associated infections, Surveillance
Pubmed
Web of science
Open Access
Yes
Create date
01/03/2024 14:35
Last modification date
09/08/2024 15:56