Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures | Zendy

Michael Ray | Zendy; Michael Y. Lin | Zendy; William E. Trick | Zendy

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Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures

Author(s) -

Michael Ray,

Michael Y. Lin,

William E. Trick

Publication year - 2016

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v8i1.6445

Subject(s) - carbapenem resistant enterobacteriaceae , enterobacteriaceae , incidence (geometry) , carbapenem , social network (sociolinguistics) , computer science , medicine , microbiology and biotechnology , biology , social media , antibiotics , world wide web , mathematics , gene , escherichia coli , genetics , geometry

In response to the growing threat of CRE in Illinois healthcare facilities, the Illinois Department of Public Health has implemented the Extensively Drug-Resistant Organism (XDRO) registry as a surveillance and communication tool. We utilized the principles of social network analysis to quantify patient sharing between facilities to better understand CRE transmission using registry case information. We found that facilities with high "centrality" in the network and facilities that regularly share patients with long-term acute care hospitals experience higher CRE rates after adjusting for hospital size and proximity to Chicago.

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