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Use of wearable devices for post-discharge monitoring of ICU patients: a feasibility study

Overview of attention for article published in Journal of Intensive Care, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
37 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
132 Mendeley
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Title
Use of wearable devices for post-discharge monitoring of ICU patients: a feasibility study
Published in
Journal of Intensive Care, November 2017
DOI 10.1186/s40560-017-0261-9
Pubmed ID
Authors

Ryan R. Kroll, Erica D. McKenzie, J. Gordon Boyd, Prameet Sheth, Daniel Howes, Michael Wood, David M. Maslove

Abstract

Wearable devices generate signals detecting activity, sleep, and heart rate, all of which could enable detailed and near-continuous characterization of recovery following critical illness. To determine the feasibility of using a wrist-worn personal fitness tracker among patients recovering from critical illness, we conducted a prospective observational study of a convenience sample of 50 stable ICU patients. We assessed device wearability, the extent of data capture, sensitivity and specificity for detecting heart rate excursions, and correlations with questionnaire-derived sleep quality measures. Wearable devices were worn over a 24-h period, with excellent capture of data. While specificity for the detection of tachycardia was high (98.8%), sensitivity was low to moderate (69.5%). There was a moderate correlation between wearable-derived sleep duration and questionnaire-derived sleep quality (r = 0.33, P = 0.03). Devices were well-tolerated and demonstrated no degradation in quality of data acquisition over time. We found that wearable devices could be worn by patients recovering from critical illness and could generate useful data for the majority of patients with little adverse effect. Further development and study are needed to better define and enhance the role of wearables in the monitoring of post-ICU recovery. Clinicaltrials.gov, NCT02527408.

Twitter Demographics

The data shown below were collected from the profiles of 37 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 18%
Student > Bachelor 16 12%
Researcher 14 11%
Student > Master 13 10%
Other 10 8%
Other 24 18%
Unknown 31 23%
Readers by discipline Count As %
Medicine and Dentistry 39 30%
Engineering 9 7%
Computer Science 8 6%
Sports and Recreations 6 5%
Psychology 5 4%
Other 23 17%
Unknown 42 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 28 February 2018.
All research outputs
#1,451,432
of 23,577,654 outputs
Outputs from Journal of Intensive Care
#69
of 528 outputs
Outputs of similar age
#34,422
of 440,499 outputs
Outputs of similar age from Journal of Intensive Care
#1
of 12 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 528 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done well, scoring higher than 86% 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 440,499 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 92% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.