Implementing and validating a home-infusion central-line-associated bloodstream infection surveillance definition.


Journal

Infection control and hospital epidemiology
ISSN: 1559-6834
Titre abrégé: Infect Control Hosp Epidemiol
Pays: United States
ID NLM: 8804099

Informations de publication

Date de publication:
Nov 2023
Historique:
medline: 23 11 2023
pubmed: 20 4 2023
entrez: 20 04 2023
Statut: ppublish

Résumé

Central-line-associated bloodstream infection (CLABSI) surveillance in home infusion therapy is necessary to track efforts to reduce infections, but a standardized, validated, and feasible definition is lacking. We tested the validity of a home-infusion CLABSI surveillance definition and the feasibility and acceptability of its implementation. Mixed-methods study including validation of CLABSI cases and semistructured interviews with staff applying these approaches. This study was conducted in 5 large home-infusion agencies in a CLABSI prevention collaborative across 14 states and the District of Columbia. Staff performing home-infusion CLABSI surveillance. From May 2021 to May 2022, agencies implemented a home-infusion CLABSI surveillance definition, using 3 approaches to secondary bloodstream infections (BSIs): National Healthcare Safety Program (NHSN) criteria, modified NHSN criteria (only applying the 4 most common NHSN-defined secondary BSIs), and all home-infusion-onset bacteremia (HiOB). Data on all positive blood cultures were sent to an infection preventionist for validation. Surveillance staff underwent semistructured interviews focused on their perceptions of the definition 1 and 3-4 months after implementation. Interrater reliability scores overall ranged from κ = 0.65 for the modified NHSN criteria to κ = 0.68 for the NHSN criteria to κ = 0.72 for the HiOB criteria. For the NHSN criteria, the agency-determined rate was 0.21 per 1,000 central-line (CL) days, and the validator-determined rate was 0.20 per 1,000 CL days. Overall, implementing a standardized definition was thought to be a positive change that would be generalizable and feasible though time-consuming and labor intensive. The home-infusion CLABSI surveillance definition was valid and feasible to implement.

Identifiants

pubmed: 37078467
pii: S0899823X23000703
doi: 10.1017/ice.2023.70
pmc: PMC10665867
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1748-1759

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Auteurs

Sara C Keller (SC)

Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Department of Health Policy & Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Armstrong Institute of Patient Safety and Quality, Johns Hopkins Medicine, Baltimore, Maryland.

Susan M Hannum (SM)

Department of Health Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Kimberly Weems (K)

Department of Hospital Epidemiology and Infection Control, Johns Hopkins Health System, Baltimore, Maryland.
Department of Infection Prevention, Nuvance Health Vassar Brothers Medical Center, Poughkeepsie, New York.

Opeyemi Oladapo-Shittu (O)

Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Alejandra B Salinas (AB)

Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Jill A Marsteller (JA)

Department of Health Policy & Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Armstrong Institute of Patient Safety and Quality, Johns Hopkins Medicine, Baltimore, Maryland.

Ayse P Gurses (AP)

Department of Health Policy & Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Armstrong Institute of Patient Safety and Quality, Johns Hopkins Medicine, Baltimore, Maryland.
Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Malone Center for Engineering in Health Care, Johns Hopkins Whiting School of Engineering, Baltimore, Maryland.

Eili Y Klein (EY)

Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Ilya Shpitser (I)

Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, Maryland.

Christopher J Crnich (CJ)

Division of Infectious Diseases, Department of Medicine, University of Wisconsin School of Medicine, Madison, Wisconsin.

Nitin Bhanot (N)

Division of Infectious Diseases, Department of Medicine, Allegheny Health Network, Pittsburgh, Pennsylvania.

Clare Rock (C)

Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Armstrong Institute of Patient Safety and Quality, Johns Hopkins Medicine, Baltimore, Maryland.
Department of Hospital Epidemiology and Infection Control, Johns Hopkins Health System, Baltimore, Maryland.

Sara E Cosgrove (SE)

Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Armstrong Institute of Patient Safety and Quality, Johns Hopkins Medicine, Baltimore, Maryland.
Department of Hospital Epidemiology and Infection Control, Johns Hopkins Health System, Baltimore, Maryland.

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