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Patient Referral Patterns and the Spread of Hospital-Acquired Infections through National Health Care Networks

Overview of attention for article published in PLoS Computational Biology, March 2010
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Title
Patient Referral Patterns and the Spread of Hospital-Acquired Infections through National Health Care Networks
Published in
PLoS Computational Biology, March 2010
DOI 10.1371/journal.pcbi.1000715
Pubmed ID
Authors

Tjibbe Donker, Jacco Wallinga, Hajo Grundmann

Abstract

Rates of hospital-acquired infections, such as methicillin-resistant Staphylococcus aureus (MRSA), are increasingly used as quality indicators for hospital hygiene. Alternatively, these rates may vary between hospitals, because hospitals differ in admission and referral of potentially colonized patients. We assessed if different referral patterns between hospitals in health care networks can influence rates of hospital-acquired infections like MRSA. We used the Dutch medical registration of 2004 to measure the connectedness between hospitals. This allowed us to reconstruct the network of hospitals in the Netherlands. We used mathematical models to assess the effect of different patient referral patterns on the potential spread of hospital-acquired infections between hospitals, and between categories of hospitals (University medical centers, top clinical hospitals and general hospitals). University hospitals have a higher number of shared patients than teaching or general hospitals, and are therefore more likely to be among the first to receive colonized patients. Moreover, as the network is directional towards university hospitals, they have a higher prevalence, even when infection control measures are equally effective in all hospitals. Patient referral patterns have a profound effect on the spread of health care-associated infections like hospital-acquired MRSA. The MRSA prevalence therefore differs between hospitals with the position of each hospital within the health care network. Any comparison of MRSA rates between hospitals, as a benchmark for hospital hygiene, should therefore take the position of a hospital within the network into account.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
United States 2 1%
France 1 <1%
Ireland 1 <1%
Germany 1 <1%
Israel 1 <1%
Portugal 1 <1%
Spain 1 <1%
Iran, Islamic Republic of 1 <1%
Other 0 0%
Unknown 145 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 23%
Student > Ph. D. Student 33 21%
Student > Master 17 11%
Student > Bachelor 10 6%
Professor 7 4%
Other 26 16%
Unknown 28 18%
Readers by discipline Count As %
Medicine and Dentistry 34 22%
Agricultural and Biological Sciences 24 15%
Mathematics 12 8%
Social Sciences 5 3%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 43 27%
Unknown 35 22%