Cargando…

Measuring Social Contacts in the Emergency Department

BACKGROUND: Infectious individuals in an emergency department (ED) bring substantial risks of cross infection. Data about the complex social and spatial structure of interpersonal contacts in the ED will aid construction of biologically plausible transmission risk models that can guide cross infecti...

Descripción completa

Detalles Bibliográficos
Autores principales: Lowery-North, Douglas W., Hertzberg, Vicki Stover, Elon, Lisa, Cotsonis, George, Hilton, Sarah A., Vaughns, Christopher F., Hill, Eric, Shrestha, Alok, Jo, Alexandria, Adams, Nathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749132/
https://www.ncbi.nlm.nih.gov/pubmed/23990915
http://dx.doi.org/10.1371/journal.pone.0070854
_version_ 1782281151385174016
author Lowery-North, Douglas W.
Hertzberg, Vicki Stover
Elon, Lisa
Cotsonis, George
Hilton, Sarah A.
Vaughns, Christopher F.
Hill, Eric
Shrestha, Alok
Jo, Alexandria
Adams, Nathan
author_facet Lowery-North, Douglas W.
Hertzberg, Vicki Stover
Elon, Lisa
Cotsonis, George
Hilton, Sarah A.
Vaughns, Christopher F.
Hill, Eric
Shrestha, Alok
Jo, Alexandria
Adams, Nathan
author_sort Lowery-North, Douglas W.
collection PubMed
description BACKGROUND: Infectious individuals in an emergency department (ED) bring substantial risks of cross infection. Data about the complex social and spatial structure of interpersonal contacts in the ED will aid construction of biologically plausible transmission risk models that can guide cross infection control. METHODS AND FINDINGS: We sought to determine the number and duration of contacts among patients and staff in a large, busy ED. This prospective study was conducted between 1 July 2009 and 30 June 2010. Two 12-hour shifts per week were randomly selected for study. The study was conducted in the ED of an urban hospital. There were 81 shifts in the planned random sample of 104 (78%) with usable contact data, during which there were 9183 patient encounters. Of these, 6062 (66%) were approached to participate, of which 4732 (78%) agreed. Over the course of the year, 88 staff members participated (84%). A radiofrequency identification (RFID) system was installed and the ED divided into 89 distinct zones structured so copresence of two individuals in any zone implied a very high probability of contact <1 meter apart in space. During study observation periods, patients and staff were given RFID tags to wear. Contact events were recorded. These were further broken down with respect to the nature of the contacts, i.e., patient with patient, patient with staff, and staff with staff. 293,171 contact events were recorded, with a median of 22 contact events and 9 contacts with distinct individuals per participant per shift. Staff-staff interactions were more numerous and longer than patient-patient or patient-staff interactions. CONCLUSIONS: We used RFID to quantify contacts between patients and staff in a busy ED. These results are useful for studies of the spread of infections. By understanding contact patterns most important in potential transmission, more effective prevention strategies may be implemented.
format Online
Article
Text
id pubmed-3749132
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-37491322013-08-29 Measuring Social Contacts in the Emergency Department Lowery-North, Douglas W. Hertzberg, Vicki Stover Elon, Lisa Cotsonis, George Hilton, Sarah A. Vaughns, Christopher F. Hill, Eric Shrestha, Alok Jo, Alexandria Adams, Nathan PLoS One Research Article BACKGROUND: Infectious individuals in an emergency department (ED) bring substantial risks of cross infection. Data about the complex social and spatial structure of interpersonal contacts in the ED will aid construction of biologically plausible transmission risk models that can guide cross infection control. METHODS AND FINDINGS: We sought to determine the number and duration of contacts among patients and staff in a large, busy ED. This prospective study was conducted between 1 July 2009 and 30 June 2010. Two 12-hour shifts per week were randomly selected for study. The study was conducted in the ED of an urban hospital. There were 81 shifts in the planned random sample of 104 (78%) with usable contact data, during which there were 9183 patient encounters. Of these, 6062 (66%) were approached to participate, of which 4732 (78%) agreed. Over the course of the year, 88 staff members participated (84%). A radiofrequency identification (RFID) system was installed and the ED divided into 89 distinct zones structured so copresence of two individuals in any zone implied a very high probability of contact <1 meter apart in space. During study observation periods, patients and staff were given RFID tags to wear. Contact events were recorded. These were further broken down with respect to the nature of the contacts, i.e., patient with patient, patient with staff, and staff with staff. 293,171 contact events were recorded, with a median of 22 contact events and 9 contacts with distinct individuals per participant per shift. Staff-staff interactions were more numerous and longer than patient-patient or patient-staff interactions. CONCLUSIONS: We used RFID to quantify contacts between patients and staff in a busy ED. These results are useful for studies of the spread of infections. By understanding contact patterns most important in potential transmission, more effective prevention strategies may be implemented. Public Library of Science 2013-08-21 /pmc/articles/PMC3749132/ /pubmed/23990915 http://dx.doi.org/10.1371/journal.pone.0070854 Text en © 2013 Lowery-North et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lowery-North, Douglas W.
Hertzberg, Vicki Stover
Elon, Lisa
Cotsonis, George
Hilton, Sarah A.
Vaughns, Christopher F.
Hill, Eric
Shrestha, Alok
Jo, Alexandria
Adams, Nathan
Measuring Social Contacts in the Emergency Department
title Measuring Social Contacts in the Emergency Department
title_full Measuring Social Contacts in the Emergency Department
title_fullStr Measuring Social Contacts in the Emergency Department
title_full_unstemmed Measuring Social Contacts in the Emergency Department
title_short Measuring Social Contacts in the Emergency Department
title_sort measuring social contacts in the emergency department
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749132/
https://www.ncbi.nlm.nih.gov/pubmed/23990915
http://dx.doi.org/10.1371/journal.pone.0070854
work_keys_str_mv AT lowerynorthdouglasw measuringsocialcontactsintheemergencydepartment
AT hertzbergvickistover measuringsocialcontactsintheemergencydepartment
AT elonlisa measuringsocialcontactsintheemergencydepartment
AT cotsonisgeorge measuringsocialcontactsintheemergencydepartment
AT hiltonsaraha measuringsocialcontactsintheemergencydepartment
AT vaughnschristopherf measuringsocialcontactsintheemergencydepartment
AT hilleric measuringsocialcontactsintheemergencydepartment
AT shresthaalok measuringsocialcontactsintheemergencydepartment
AT joalexandria measuringsocialcontactsintheemergencydepartment
AT adamsnathan measuringsocialcontactsintheemergencydepartment