Systematic scoping review of automated systems for the surveillance of healthcare-associated bloodstream infections related to intravascular catheters.
Détails
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_2296AD7F04D5
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Systematic scoping review of automated systems for the surveillance of healthcare-associated bloodstream infections related to intravascular catheters.
Périodique
Antimicrobial resistance and infection control
Collaborateur⸱rice⸱s
Swissnoso Group
ISSN
2047-2994 (Electronic)
ISSN-L
2047-2994
Statut éditorial
Publié
Date de publication
28/02/2024
Peer-reviewed
Oui
Volume
13
Numéro
1
Pages
25
Langue
anglais
Notes
Publication types: Systematic Review ; Journal Article ; Review
Publication Status: epublish
Publication Status: epublish
Résumé
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.
Mots-clé
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
Oui
Création de la notice
01/03/2024 14:35
Dernière modification de la notice
09/08/2024 15:56