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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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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
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 150 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 23%
Student > Ph. D. Student 33 20%
Student > Master 17 10%
Student > Bachelor 10 6%
Professor 7 4%
Other 30 18%
Unknown 29 18%
Readers by discipline Count As %
Medicine and Dentistry 34 21%
Agricultural and Biological Sciences 24 15%
Mathematics 12 7%
Unspecified 5 3%
Social Sciences 5 3%
Other 47 29%
Unknown 36 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 May 2012.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#7,479
of 8,960 outputs
Outputs of similar age
#85,234
of 103,051 outputs
Outputs of similar age from PLoS Computational Biology
#45
of 54 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.