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An experimental model to measure the ability of headphones with active noise control to reduce patient’s exposure to noise in an intensive care unit

Overview of attention for article published in Intensive Care Medicine Experimental, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 506)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

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31 X users
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1 Facebook page
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1 Wikipedia page

Citations

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47 Mendeley
Title
An experimental model to measure the ability of headphones with active noise control to reduce patient’s exposure to noise in an intensive care unit
Published in
Intensive Care Medicine Experimental, October 2017
DOI 10.1186/s40635-017-0162-1
Pubmed ID
Authors

Stuart Gallacher, Doyo Enki, Sian Stevens, Mark J. Bennett

Abstract

Defining the association between excessive noise in intensive care units, sleep disturbance and morbidity, including delirium, is confounded by the difficulty of implementing successful strategies to reduce patient's exposure to noise. Active noise control devices may prove to be useful adjuncts but there is currently little to quantify their ability to reduce noise in this complex environment. Sound meters were embedded in the auditory meatus of three polystyrene model heads with no headphones (control), with headphones alone and with headphones using active noise control and placed in patient bays in a cardiac ICU. Ten days of recording sound levels at a frequency of 1 Hz were performed, and the noise levels in each group were compared using repeated measures MANOVA and subsequent pairwise testing. Multivariate testing demonstrated that there is a significant difference in the mean noise exposure levels between the three groups (p < 0.001). Subsequent pairwise testing between the three groups shows that the reduction in noise is greatest with headphones and active noise control. The mean reduction in noise exposure between the control and this group over 24 h is 6.8 (0.66) dB. The use of active noise control was also associated with a reduction in the exposure to high-intensity sound events over the course of the day. The use of active noise cancellation, as delivered by noise-cancelling headphones, is associated with a significant reduction in noise exposure in our model of noise exposure in a cardiac ICU. This is the first study to look at the potential effectiveness of active noise control in adult patients in an intensive care environment and shows that active noise control is a candidate technology to reduce noise exposure levels the patients experience during stays on intensive care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 15%
Student > Bachelor 5 11%
Student > Postgraduate 5 11%
Other 4 9%
Researcher 3 6%
Other 5 11%
Unknown 18 38%
Readers by discipline Count As %
Medicine and Dentistry 13 28%
Nursing and Health Professions 9 19%
Engineering 5 11%
Social Sciences 2 4%
Psychology 1 2%
Other 2 4%
Unknown 15 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 29 March 2022.
All research outputs
#1,748,920
of 24,648,202 outputs
Outputs from Intensive Care Medicine Experimental
#46
of 506 outputs
Outputs of similar age
#34,814
of 331,705 outputs
Outputs of similar age from Intensive Care Medicine Experimental
#4
of 6 outputs
Altmetric has tracked 24,648,202 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 91% 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 331,705 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.