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Not just a matter of size: a hospital-level risk factor analysis of MRSA bacteraemia in Scotland

Overview of attention for article published in BMC Infectious Diseases, May 2016
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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1 Redditor

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23 Mendeley
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Title
Not just a matter of size: a hospital-level risk factor analysis of MRSA bacteraemia in Scotland
Published in
BMC Infectious Diseases, May 2016
DOI 10.1186/s12879-016-1563-6
Pubmed ID
Authors

Cheryl L. Gibbons, Bram A. D. van Bunnik, Oliver Blatchford, Chris Robertson, Thibaud Porphyre, Laura Imrie, Julie Wilson, J. Ross Fitzgerald, Mark E. J. Woolhouse, Margo E. Chase-Topping

Abstract

Worldwide, there is a wealth of literature examining patient-level risk factors for methicillin-resistant Staphylococcus aureus (MRSA) bacteraemia. At the hospital-level it is generally accepted that MRSA bacteraemia is more common in larger hospitals. In Scotland, size does not fully explain all the observed variation among hospitals. The aim of this study was to identify risk factors for the presence and rate of MRSA bacteraemia cases in Scottish mainland hospitals. Specific hypotheses regarding hospital size, type and connectivity were examined. Data from 198 mainland Scottish hospitals (defined as having at least one inpatient per year) were analysed for financial year 2007-08 using logistic regression (Model 1: presence/absence of MRSA bacteraemia) and Poisson regression (Model 2: rate of MRSA bacteraemia). The significance of risk factors representing various measures of hospital size, type and connectivity were investigated. In Scotland, size was not the only significant risk factor identified for the presence and rate of MRSA bacteraemia. The probability of a hospital having at least one case of MRSA bacteraemia increased with hospital size only if the hospital exceeded a certain level of connectivity. Higher levels of MRSA bacteraemia were associated with the large, highly connected teaching hospitals with high ratios of patients to domestic staff. A hospital's level of connectedness within a network may be a better measure of a hospital's risk of MRSA bacteraemia than size. This result could be used to identify high risk hospitals which would benefit from intensified infection control measures.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 30%
Researcher 3 13%
Student > Ph. D. Student 3 13%
Other 2 9%
Professor 1 4%
Other 1 4%
Unknown 6 26%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Agricultural and Biological Sciences 4 17%
Biochemistry, Genetics and Molecular Biology 2 9%
Nursing and Health Professions 2 9%
Mathematics 1 4%
Other 2 9%
Unknown 6 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 July 2017.
All research outputs
#12,763,849
of 22,873,031 outputs
Outputs from BMC Infectious Diseases
#2,910
of 7,688 outputs
Outputs of similar age
#160,601
of 333,160 outputs
Outputs of similar age from BMC Infectious Diseases
#59
of 155 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,688 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 333,160 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.