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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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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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32 X users
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1 Facebook page

Citations

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48 Dimensions

Readers on

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135 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, for the WEARable Information Technology for hospital INpatients (WEARIT-IN) study group

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 18%
Student > Bachelor 16 12%
Researcher 15 11%
Student > Master 12 9%
Other 10 7%
Other 22 16%
Unknown 36 27%
Readers by discipline Count As %
Medicine and Dentistry 38 28%
Engineering 9 7%
Computer Science 8 6%
Sports and Recreations 6 4%
Psychology 5 4%
Other 21 16%
Unknown 48 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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
#1,872,621
of 25,051,439 outputs
Outputs from Journal of Intensive Care
#94
of 564 outputs
Outputs of similar age
#41,051
of 449,760 outputs
Outputs of similar age from Journal of Intensive Care
#2
of 12 outputs
Altmetric has tracked 25,051,439 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 564 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 83% 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 449,760 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 90% 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.