About: Limiting the spread of highly resistant hospital-acquired microorganisms via critical care transfers: a simulation study

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Limiting the spread of highly resistant hospital-acquired microorganisms via critical care transfers: a simulation study
Creator	Adamic, L Adamic, Lada Iwashyna, T Iwashyna, Theodore Kahn, J Kahn, Jeremy Karkada, U Karkada, Umanka
Source	Medline; PMC
abstract	PURPOSE: Hospital-acquired infections with highly resistant organisms are an important problem among critically ill patients. Control of these organisms has largely focused within individual hospitals. We examine the extent to which transfers of critically ill patients could be a vector for the wide spread of highly resistant organisms, and compare the efficiency of different approaches to targeting infection control resources. METHODS: We analyzed the network of interhospital transfers of intensive care unit patients in 2005 US Medicare data and 2004–2006 Pennsylvania all-payer data. We simulated the spread of highly resistant hospital-acquired infections by randomly choosing a single hospital to develop a highly resistant organism and following the spread of infection or colonization throughout the network under varying strategies of infection control and varying levels of infectivity. RESULTS: Critical care transfers could spread a highly resistant organism between any two US hospitals in a median of 3 years. Hospitals varied substantially in their importance to limiting potential spread. Targeting resources to a small subset of hospitals on the basis of their position in the transfer network was 16 times more efficient than distributing infection control resources uniformly. Within any set of targeted hospitals, the best strategy for infection control heavily concentrated resources at a few particularly important hospitals, regardless of level of infectivity. CONCLUSIONS: Critical care transfers provide a plausible vector for widespread dissemination of highly resistant hospital-acquired microorganisms. Infection control efforts can be made more efficient by selectively targeting hospitals most important for transmission. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00134-011-2341-y) contains supplementary material, which is available to authorized users.
has issue date	2011-08-18(xsd:dateTime)
bibo:doi	10.1007/s00134-011-2341-y
bibo:pmid	21850532
has license	no-cc
sha1sum (hex)	6e5335a23578850b79d683e1a9d89546583dd94a
schema:url	https://doi.org/10.1007/s00134-011-2341-y
resource representing a document's title	Limiting the spread of highly resistant hospital-acquired microorganisms via critical care transfers: a simulation study
has PubMed Central identifier	PMC3362134
has PubMed identifier	21850532
schema:publication	Intensive Care Med
resource representing a document's body	covid:6e5335a23578850b79d683e1a9d89546583dd94a#body_text
is schema:about of	named entity 'hospital-acquired' named entity 'SIMULATION' named entity 'RESISTANT' named entity 'STUDY' named entity 'HOSPITAL' named entity 'HIGHLY' named entity 'MICROORGANISMS' named entity 'TRANSFERS' named entity 'CRITICAL CARE' named entity 'SPREAD' named entity 'LIMITING' named entity 'ACQUIRED' named entity 'critical care' named entity 'probability' named entity 'infection control' named entity 'infection' named entity 'infection' named entity 'public health' named entity 'greedy algorithm' named entity 'greedy algorithm' named entity 'infection control' named entity 'viruses' named entity 'Acinetobacter' named entity 'anecdotal evidence' named entity 'probability' named entity 'transmissibility' named entity 'critical care' named entity 'microorganisms' named entity 'greedy algorithm' named entity 'interdependence' named entity 'externalities' named entity 'Medicare' named entity 'influenza pandemic' named entity 'targeted immunization' named entity 'Infection control' named entity 'organism' named entity 'infection control' named entity 'infection control' named entity 'iterative algorithm' named entity 'critically ill patients' named entity 'intensive care unit' named entity 'infection control' named entity 'infection control' named entity 'infection control' named entity 'critical care' named entity 'coronavirus' named entity 'Pennsylvania' named entity 'microorganisms' named entity 'resource allocation' named entity 'University of Michigan' named entity 'microorganism' named entity 'Perl' named entity '2004-2006' named entity 'microorganisms' named entity 'infection control' named entity 'random allocation' named entity 'infection control' named entity 'antibiotic overuse' named entity 'infection control' named entity 'ICUs' named entity 'critical care' named entity 'greedy algorithm' named entity 'nursing homes' named entity 'Medicare' named entity 'microorganisms' named entity 'microorganisms' named entity 'Pennsylvania' named entity 'missing data' named entity 'greedy algorithm' named entity 'follow-up' named entity 'microorganisms' named entity 'microorganisms' named entity 'critically ill patients' named entity 'infection control'

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