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Hospital Networks and the Dispersal of Hospital-Acquired Pathogens by Patient Transfer
Hospital-acquired infections (HAI) are often seen as preventable incidents that result from unsafe practices or poor hospital hygiene. This however ignores the fact that transmissibility is not only a property of the causative organisms but also of the hosts who can translocate bacteria when moving...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338821/ https://www.ncbi.nlm.nih.gov/pubmed/22558106 http://dx.doi.org/10.1371/journal.pone.0035002 |
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author | Donker, Tjibbe Wallinga, Jacco Slack, Richard Grundmann, Hajo |
author_facet | Donker, Tjibbe Wallinga, Jacco Slack, Richard Grundmann, Hajo |
author_sort | Donker, Tjibbe |
collection | PubMed |
description | Hospital-acquired infections (HAI) are often seen as preventable incidents that result from unsafe practices or poor hospital hygiene. This however ignores the fact that transmissibility is not only a property of the causative organisms but also of the hosts who can translocate bacteria when moving between hospitals. In an epidemiological sense, hospitals become connected through the patients they share. We here postulate that the degree of hospital connectedness crucially influences the rates of infections caused by hospital-acquired bacteria. To test this hypothesis, we mapped the movement of patients based on the UK-NHS Hospital Episode Statistics and observed that the proportion of patients admitted to a hospital after a recent episode in another hospital correlates with the hospital-specific incidence rate of MRSA bacteraemia as recorded by mandatory reporting. We observed a positive correlation between hospital connectedness and MRSA bacteraemia incidence rate that is significant for all financial years since 2001 except for 2008–09. All years combined, this correlation is positive and significantly different from zero (partial correlation coefficient r = 0.33 (0.28 to 0.38)). When comparing the referral pattern for English hospitals with referral patterns observed in the Netherlands, we predict that English hospitals more likely see a swifter and more sustained spread of HAIs. Our results indicate that hospitals cannot be viewed as individual units but rather should be viewed as connected elements of larger modular networks. Our findings stress the importance of cooperative effects that will have a bearing on the planning of health care systems, patient management and hospital infection control. |
format | Online Article Text |
id | pubmed-3338821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33388212012-05-03 Hospital Networks and the Dispersal of Hospital-Acquired Pathogens by Patient Transfer Donker, Tjibbe Wallinga, Jacco Slack, Richard Grundmann, Hajo PLoS One Research Article Hospital-acquired infections (HAI) are often seen as preventable incidents that result from unsafe practices or poor hospital hygiene. This however ignores the fact that transmissibility is not only a property of the causative organisms but also of the hosts who can translocate bacteria when moving between hospitals. In an epidemiological sense, hospitals become connected through the patients they share. We here postulate that the degree of hospital connectedness crucially influences the rates of infections caused by hospital-acquired bacteria. To test this hypothesis, we mapped the movement of patients based on the UK-NHS Hospital Episode Statistics and observed that the proportion of patients admitted to a hospital after a recent episode in another hospital correlates with the hospital-specific incidence rate of MRSA bacteraemia as recorded by mandatory reporting. We observed a positive correlation between hospital connectedness and MRSA bacteraemia incidence rate that is significant for all financial years since 2001 except for 2008–09. All years combined, this correlation is positive and significantly different from zero (partial correlation coefficient r = 0.33 (0.28 to 0.38)). When comparing the referral pattern for English hospitals with referral patterns observed in the Netherlands, we predict that English hospitals more likely see a swifter and more sustained spread of HAIs. Our results indicate that hospitals cannot be viewed as individual units but rather should be viewed as connected elements of larger modular networks. Our findings stress the importance of cooperative effects that will have a bearing on the planning of health care systems, patient management and hospital infection control. Public Library of Science 2012-04-25 /pmc/articles/PMC3338821/ /pubmed/22558106 http://dx.doi.org/10.1371/journal.pone.0035002 Text en Donker 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 Donker, Tjibbe Wallinga, Jacco Slack, Richard Grundmann, Hajo Hospital Networks and the Dispersal of Hospital-Acquired Pathogens by Patient Transfer |
title | Hospital Networks and the Dispersal of Hospital-Acquired Pathogens by Patient Transfer |
title_full | Hospital Networks and the Dispersal of Hospital-Acquired Pathogens by Patient Transfer |
title_fullStr | Hospital Networks and the Dispersal of Hospital-Acquired Pathogens by Patient Transfer |
title_full_unstemmed | Hospital Networks and the Dispersal of Hospital-Acquired Pathogens by Patient Transfer |
title_short | Hospital Networks and the Dispersal of Hospital-Acquired Pathogens by Patient Transfer |
title_sort | hospital networks and the dispersal of hospital-acquired pathogens by patient transfer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338821/ https://www.ncbi.nlm.nih.gov/pubmed/22558106 http://dx.doi.org/10.1371/journal.pone.0035002 |
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