Systematic scoping review of automated systems for the surveillance of healthcare-associated bloodstream infections related to intravascular catheters.
Algorithm
Automated monitoring
Automation
CLABSI
CRBSI
Healthcare associated infections
Surveillance
Journal
Antimicrobial resistance and infection control
ISSN: 2047-2994
Titre abrégé: Antimicrob Resist Infect Control
Pays: England
ID NLM: 101585411
Informations de publication
Date de publication:
28 Feb 2024
28 Feb 2024
Historique:
received:
27
11
2023
accepted:
08
02
2024
medline:
29
2
2024
pubmed:
29
2
2024
entrez:
28
2
2024
Statut:
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.
Identifiants
pubmed: 38419046
doi: 10.1186/s13756-024-01380-x
pii: 10.1186/s13756-024-01380-x
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
25Informations de copyright
© 2024. The Author(s).
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