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Evaluating a neonatal intensive care unit MRSA surveillance programme using agent-based network modelling

Overview of attention for article published in Journal of Hospital Infection, May 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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5 news outlets
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1 X user

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45 Mendeley
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Article details
Title
Evaluating a neonatal intensive care unit MRSA surveillance programme using agent-based network modelling
Published in
Journal of Hospital Infection, May 2018
DOI 10.1016/j.jhin.2018.05.002
Pubmed ID
Authors
Abstract

Surveillance for meticillin-resistant Staphylococcus aureus (MRSA) in neonatal intensive care units (NICUs) is a commonplace infection prevention strategy, yet the optimal frequency with which to monitor the unit is unknown. We compared varying surveillance frequencies via simulation modelling. One hundred NICU networks of 52 infants were simulated over a 6-month period to assess MRSA transmission. Unit-wide surveillance occurred every N weeks where N={1,2,3,4}, and was compared against the current NICU policy of dynamic surveillance: weekly when ≥1 positive screen, otherwise every 3 weeks. At each surveillance period, colonised infants received a decolonisation regimen (56% effective) and were moved to isolation rooms, if available. As the surveillance frequency increased, the mean number of MRSA colonised infants decreased, from a high of 2.9 (monitoring every 4 weeks) to a low of 0.6 (monitoring every week) detected per episode. Mean duration of colonisation similarly decreased from 307 hrs (monitoring every 4 weeks) to 61 hrs (monitoring every week). Meanwhile the availability of isolation rooms followed an inverse relationship: as frequency increased, the availability of rooms decreased (61% isolation success rate every 4 weeks vs. 49% success rate every week). The dynamic policy performed similar to a biweekly programme. An effective MRSA surveillance programme needs to balance resource availability with potential for harm due to longer colonisation periods and opportunity for development of invasive disease. While more frequent monitoring led to greater use of a decolonisation regimen, it also reduced the likelihood of isolation rooms being available.

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X Demographics

X Demographics

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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 6 13%
Student > Doctoral Student 4 9%
Professor 4 9%
Student > Bachelor 3 7%
Researcher 2 4%
Other 7 16%
Unknown 19 42%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 6 13%
Arts and Humanities 2 4%
Mathematics 2 4%
Nursing and Health Professions 2 4%
Agricultural and Biological Sciences 2 4%
Other 8 18%
Unknown 23 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 23 May 2018.
All research outputs
#1,047,058
of 25,382,440 outputs
Outputs from Journal of Hospital Infection
#181
of 4,045 outputs
Outputs of similar age
#22,900
of 341,279 outputs
Outputs of similar age from Journal of Hospital Infection
#5
of 66 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 95% 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 341,279 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 93% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.