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

Ray, M. J., Lin, M. Y., & Trick, W. (2016). Predicting Facility-Level Carbapenem-Resistant Enterobacteriaceae (CRE) Incidence Based on Social Network Measures. Online Journal of Public Health Informatics, 8(1). https://doi.org/10.5210/ojphi.v8i1.6445

Abstract

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.

https://doi.org/10.5210/ojphi.v8i1.6445
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