Sensitivity of National Healthcare Safety Network definitions to capture healthcare-associated transmission identified by whole-genome sequencing surveillance

The National Healthcare Safety Network (NHSN) definitions are critical for standardizing healthcare-associated infection surveillance in US healthcare facilities. However, their use in accurately detecting healthcare-associated transmission (HAT) has not been measured. Using whole-genome sequencing...

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Autores principales: Sundermann, Alexander J., Penzelik, Joseph, Ayres, Ashley, Snyder, Graham M., Harrison, Lee H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Concise Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533730/
https://www.ncbi.nlm.nih.gov/pubmed/36974518
http://dx.doi.org/10.1017/ice.2023.52
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author Sundermann, Alexander J.
Penzelik, Joseph
Ayres, Ashley
Snyder, Graham M.
Harrison, Lee H.
author_facet Sundermann, Alexander J.
Penzelik, Joseph
Ayres, Ashley
Snyder, Graham M.
Harrison, Lee H.
author_sort Sundermann, Alexander J.
collection PubMed
description The National Healthcare Safety Network (NHSN) definitions are critical for standardizing healthcare-associated infection surveillance in US healthcare facilities. However, their use in accurately detecting healthcare-associated transmission (HAT) has not been measured. Using whole-genome sequencing surveillance data, we show that the NHSN has a sensitivity of 44.4% in detecting HAT.
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spelling pubmed-105337302023-10-21 Sensitivity of National Healthcare Safety Network definitions to capture healthcare-associated transmission identified by whole-genome sequencing surveillance Sundermann, Alexander J. Penzelik, Joseph Ayres, Ashley Snyder, Graham M. Harrison, Lee H. Infect Control Hosp Epidemiol Concise Communication The National Healthcare Safety Network (NHSN) definitions are critical for standardizing healthcare-associated infection surveillance in US healthcare facilities. However, their use in accurately detecting healthcare-associated transmission (HAT) has not been measured. Using whole-genome sequencing surveillance data, we show that the NHSN has a sensitivity of 44.4% in detecting HAT. Cambridge University Press 2023-10 2023-03-28 /pmc/articles/PMC10533730/ /pubmed/36974518 http://dx.doi.org/10.1017/ice.2023.52 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Concise Communication
Sundermann, Alexander J.
Penzelik, Joseph
Ayres, Ashley
Snyder, Graham M.
Harrison, Lee H.
Sensitivity of National Healthcare Safety Network definitions to capture healthcare-associated transmission identified by whole-genome sequencing surveillance
title Sensitivity of National Healthcare Safety Network definitions to capture healthcare-associated transmission identified by whole-genome sequencing surveillance
title_full Sensitivity of National Healthcare Safety Network definitions to capture healthcare-associated transmission identified by whole-genome sequencing surveillance
title_fullStr Sensitivity of National Healthcare Safety Network definitions to capture healthcare-associated transmission identified by whole-genome sequencing surveillance
title_full_unstemmed Sensitivity of National Healthcare Safety Network definitions to capture healthcare-associated transmission identified by whole-genome sequencing surveillance
title_short Sensitivity of National Healthcare Safety Network definitions to capture healthcare-associated transmission identified by whole-genome sequencing surveillance
title_sort sensitivity of national healthcare safety network definitions to capture healthcare-associated transmission identified by whole-genome sequencing surveillance
topic Concise Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533730/
https://www.ncbi.nlm.nih.gov/pubmed/36974518
http://dx.doi.org/10.1017/ice.2023.52
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