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The relative importance of large problems far away versus small problems closer to home: insights into limiting the spread of antimicrobial resistance in England

Overview of attention for article published in BMC Medicine, April 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
55 X users

Citations

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30 Dimensions

Readers on

mendeley
68 Mendeley
Title
The relative importance of large problems far away versus small problems closer to home: insights into limiting the spread of antimicrobial resistance in England
Published in
BMC Medicine, April 2017
DOI 10.1186/s12916-017-0844-2
Pubmed ID
Authors

Tjibbe Donker, Katherine L. Henderson, Katie L. Hopkins, Andrew R. Dodgson, Stephanie Thomas, Derrick W. Crook, Tim E. A. Peto, Alan P. Johnson, Neil Woodford, A. Sarah Walker, Julie V. Robotham

Abstract

To combat the spread of antimicrobial resistance (AMR), hospitals are advised to screen high-risk patients for carriage of antibiotic-resistant bacteria on admission. This often includes patients previously admitted to hospitals with a high AMR prevalence. However, the ability of such a strategy to identify introductions (and hence prevent onward transmission) is unclear, as it depends on AMR prevalence in each hospital, the number of patients moving between hospitals, and the number of hospitals considered 'high risk'. We tracked patient movements using data from the National Health Service of England Hospital Episode Statistics and estimated differences in regional AMR prevalences using, as an exemplar, data collected through the national reference laboratory service of Public Health England on carbapenemase-producing Enterobacteriaceae (CPE) from 2008 to 2014. Combining these datasets, we calculated expected CPE introductions into hospitals from across the hospital network to assess the effectiveness of admission screening based on defining high-prevalence hospitals as high risk. Based on numbers of exchanged patients, the English hospital network can be divided into 14 referral regions. England saw a sharp increase in numbers of CPE isolates referred to the national reference laboratory over 7 years, from 26 isolates in 2008 to 1649 in 2014. Large regional differences in numbers of confirmed CPE isolates overlapped with regional structuring of patient movements between hospitals. However, despite these large differences in prevalence between regions, we estimated that hospitals received only a small proportion (1.8%) of CPE-colonised patients from hospitals outside their own region, which decreased over time. In contrast to the focus on import screening based on assigning a few hospitals as 'high risk', patient transfers between hospitals with small AMR problems in the same region often pose a larger absolute threat than patient transfers from hospitals in other regions with large problems, even if the prevalence in other regions is orders of magnitude higher. Because the difference in numbers of exchanged patients, between and within regions, was mostly larger than the difference in CPE prevalence, it would be more effective for hospitals to focus on their own populations or region to inform control efforts rather than focussing on problems elsewhere.

X Demographics

X Demographics

The data shown below were collected from the profiles of 55 X users 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 22%
Student > Ph. D. Student 10 15%
Student > Bachelor 7 10%
Student > Master 7 10%
Student > Doctoral Student 5 7%
Other 11 16%
Unknown 13 19%
Readers by discipline Count As %
Medicine and Dentistry 17 25%
Agricultural and Biological Sciences 6 9%
Immunology and Microbiology 5 7%
Biochemistry, Genetics and Molecular Biology 3 4%
Engineering 3 4%
Other 12 18%
Unknown 22 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 18 June 2019.
All research outputs
#722,834
of 23,508,125 outputs
Outputs from BMC Medicine
#512
of 3,552 outputs
Outputs of similar age
#16,132
of 310,951 outputs
Outputs of similar age from BMC Medicine
#16
of 59 outputs
Altmetric has tracked 23,508,125 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,552 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one has done well, scoring higher than 85% 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 310,951 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 59 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 74% of its contemporaries.