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Network Analysis Examining Intrahospital Traffic of Patients With Traumatic Hip Fracture

INTRODUCTION: Increased intrahospital traffic (IHT) is associated with adverse events and infections in hospitalized patients. Network science has been used to study patient flow in hospitals but not specifically for patients with traumatic injuries. METHODS: This retrospective analysis included 103...

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Autores principales: Secor, Elizabeth A., Hamilton, David, D'Huyvetter, Cecile, Salottolo, Kristin, Bar-Or, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977413/
https://www.ncbi.nlm.nih.gov/pubmed/36409627
http://dx.doi.org/10.1097/JHQ.0000000000000367
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author Secor, Elizabeth A.
Hamilton, David
D'Huyvetter, Cecile
Salottolo, Kristin
Bar-Or, David
author_facet Secor, Elizabeth A.
Hamilton, David
D'Huyvetter, Cecile
Salottolo, Kristin
Bar-Or, David
author_sort Secor, Elizabeth A.
collection PubMed
description INTRODUCTION: Increased intrahospital traffic (IHT) is associated with adverse events and infections in hospitalized patients. Network science has been used to study patient flow in hospitals but not specifically for patients with traumatic injuries. METHODS: This retrospective analysis included 103 patients with traumatic hip fractures admitted to a level I trauma center between April 2021 and September 2021. Associations with IHTs (moves within the hospital) were analyzed using R (4.1.2) as a weighted directed graph. RESULTS: The median (interquartile range) number of moves was 8 (7–9). The network consisted of 16 distinct units and showed mild disassortativity (−0.35), similar to other IHT networks. The floor and intensive care unit (ICU) were central units in the flow of patients, with the highest degree and betweenness. Patients spent a median of 20–28 hours in the ICU, intermediate care unit, or floor. The number of moves per patient was mildly correlated with hospital length of stay (ρ = 0.26, p = .008). Intrahospital traffic volume was higher on weekdays and during daytime hours. Intrahospital traffic volume was highest in patients aged <65 years (p = .04), but there was no difference in IHT volume by dependent status, complications, or readmissions. CONCLUSIONS: Network science is a useful tool for trauma patients to plan IHT, flow, and staffing.
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spelling pubmed-99774132023-03-02 Network Analysis Examining Intrahospital Traffic of Patients With Traumatic Hip Fracture Secor, Elizabeth A. Hamilton, David D'Huyvetter, Cecile Salottolo, Kristin Bar-Or, David J Healthc Qual Original Article INTRODUCTION: Increased intrahospital traffic (IHT) is associated with adverse events and infections in hospitalized patients. Network science has been used to study patient flow in hospitals but not specifically for patients with traumatic injuries. METHODS: This retrospective analysis included 103 patients with traumatic hip fractures admitted to a level I trauma center between April 2021 and September 2021. Associations with IHTs (moves within the hospital) were analyzed using R (4.1.2) as a weighted directed graph. RESULTS: The median (interquartile range) number of moves was 8 (7–9). The network consisted of 16 distinct units and showed mild disassortativity (−0.35), similar to other IHT networks. The floor and intensive care unit (ICU) were central units in the flow of patients, with the highest degree and betweenness. Patients spent a median of 20–28 hours in the ICU, intermediate care unit, or floor. The number of moves per patient was mildly correlated with hospital length of stay (ρ = 0.26, p = .008). Intrahospital traffic volume was higher on weekdays and during daytime hours. Intrahospital traffic volume was highest in patients aged <65 years (p = .04), but there was no difference in IHT volume by dependent status, complications, or readmissions. CONCLUSIONS: Network science is a useful tool for trauma patients to plan IHT, flow, and staffing. Lippincott Williams & Wilkins 2023 2022-11-21 /pmc/articles/PMC9977413/ /pubmed/36409627 http://dx.doi.org/10.1097/JHQ.0000000000000367 Text en © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the National Association for Healthcare Quality. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Original Article
Secor, Elizabeth A.
Hamilton, David
D'Huyvetter, Cecile
Salottolo, Kristin
Bar-Or, David
Network Analysis Examining Intrahospital Traffic of Patients With Traumatic Hip Fracture
title Network Analysis Examining Intrahospital Traffic of Patients With Traumatic Hip Fracture
title_full Network Analysis Examining Intrahospital Traffic of Patients With Traumatic Hip Fracture
title_fullStr Network Analysis Examining Intrahospital Traffic of Patients With Traumatic Hip Fracture
title_full_unstemmed Network Analysis Examining Intrahospital Traffic of Patients With Traumatic Hip Fracture
title_short Network Analysis Examining Intrahospital Traffic of Patients With Traumatic Hip Fracture
title_sort network analysis examining intrahospital traffic of patients with traumatic hip fracture
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977413/
https://www.ncbi.nlm.nih.gov/pubmed/36409627
http://dx.doi.org/10.1097/JHQ.0000000000000367
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