2015
DOI: 10.1017/ice.2015.130
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Hospital Transfer Network Structure as a Risk Factor for Clostridium difficile Infection

Abstract: Objective To determine the effect on inter-hospital patient sharing via transfers on the rate of Clostridium difficile infections (CDI) in a hospital. Design Retrospective cohort Methods Using data from the Healthcare Cost and Utilization Project California State Inpatient Database, 2005–2011, we identified 2,752,639 transfers. We then constructed a series of networks detailing the connections formed by hospitals. We computed two measures of connectivity, indegree and weighted indegree, measuring the numbe… Show more

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Cited by 53 publications
(37 citation statements)
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“…This suggests that MDR carriage is rare in the community, but MDR ESBL K. pneumoniae were occasionally acquired in the referring hospital prior to transfer to CH (ESBL GI carriage prevalence 1.7%, ESBL infection incidence 0.31%). These findings are likely generalisable to other hospital referral networks and highlight the benefits of exploring transmission at a multi-facility level [34,35]. However, larger studies will be needed to confirm the importance of referral networks for transmission of ESBL organisms, as has been demonstrated for MRSA and Clostridium difficile [34,35] , and to explore specific risk factors and the relevance to healthcare-associated infections.…”
Section: This Study Employed Illumina Short-read Wgs To Identify Highmentioning
confidence: 64%
“…This suggests that MDR carriage is rare in the community, but MDR ESBL K. pneumoniae were occasionally acquired in the referring hospital prior to transfer to CH (ESBL GI carriage prevalence 1.7%, ESBL infection incidence 0.31%). These findings are likely generalisable to other hospital referral networks and highlight the benefits of exploring transmission at a multi-facility level [34,35]. However, larger studies will be needed to confirm the importance of referral networks for transmission of ESBL organisms, as has been demonstrated for MRSA and Clostridium difficile [34,35] , and to explore specific risk factors and the relevance to healthcare-associated infections.…”
Section: This Study Employed Illumina Short-read Wgs To Identify Highmentioning
confidence: 64%
“…Previous studies have shown that use of antibiotics impacts individual risk for CDI when use of antibiotics is evaluated at the ward level, or even at the broader level of the hospital or the regional network. 36,22 Our study may be the most direct example to date of the potential effect of antibiotics on patients who do not themselves receive the antibiotics. In patients colonized by C. difficile , antibiotics may promote C. difficile proliferation and the number of C. difficile spores that are shed into the local environment.…”
Section: Discussionmentioning
confidence: 93%
“…In addition, CDI rates may be dependent upon connections with other hospitals via patient transfers that we are unable to observe in this analysis. 38 Future investigations should focus on analyzing potentially causative factors driving the relationship between CDI rates and LOS in patients without CDI. For example, the additional isolation rooms needed for hospitals with a higher CDI incidence may result in ineffective transitions of care or misallocation of staffing resources.…”
Section: Discussionmentioning
confidence: 99%