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ICU Telemedicine Reduces Interhospital ICU Transfers in the Veterans Health Administration

Overview of attention for article published in CHEST, June 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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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9 news outlets
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36 X users
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3 Facebook pages
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1 Google+ user

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69 Mendeley
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Article details
Title
ICU Telemedicine Reduces Interhospital ICU Transfers in the Veterans Health Administration
Published in
CHEST, June 2018
DOI 10.1016/j.chest.2018.04.021
Pubmed ID
Authors
Abstract

The effect of ICU telemedicine on transfers is not well studied. This study tests the hypothesis that ICU telemedicine decreases ICU patient interhospital transfers. Data were retrieved for patients admitted to 306 Veterans Affairs ICUs in 117 acute care facilities between 2011 and 2015. Telemedicine was provided to 52 ICUs in 23 acute care facilities by two support centers located in Minneapolis and Cincinnati. We compared interhospital transfer rates in ICU telemedicine-affiliated hospitals with transfer rates of facilities with no telemedicine program. We used generalized linear mixed multivariable models to assess the association of ICU telemedicine with transfer rates and 30-day mortality. A total of 553,523 admissions to Veterans Affairs ICUs (97,256 to telemedicine hospitals; 456,267 to non-telemedicine hospitals) were analyzed. Transfers decreased from 3.46% to 1.99% in the telemedicine hospitals and from 2.03% to 1.68% in the non-telemedicine facilities between pre- and post-telemedicine implementation periods (P < .001). After adjusting for demographics, illness severity, admission diagnosis, and facility, ICU telemedicine was associated with overall reduced transfers with a relative risk (RR) of 0.79 (95% CI, 0.71-0.87; P < .001); this reduction occurred in patients with moderate (RR, 0.77; 95% CI, 0.61-0.98; P =.034), moderate to high (RR, 0.79; 95% CI, 0.63-0.98; P =.035), and high illness severity (RR, 0.73; 95% CI, 0.60-0.90; P =.003) and in nonsurgical patients (RR, 0.82; 95% CI, 0.73-0.92; P =.001). Transfers decreased in patients admitted with GI (RR, 0.55; 95% CI, 0.41-0.74, P < .001) and respiratory admission diagnoses (RR, 0.52; 95% CI, 0.38-0.71; P < .001). ICU telemedicine was not associated with an increase in 30-day mortality. ICU telemedicine was associated with a decrease in interhospital ICU transfers.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 36 X users 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 69 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 69 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 9 13%
Student > Ph. D. Student 6 9%
Student > Doctoral Student 5 7%
Professor > Associate Professor 5 7%
Other 4 6%
Other 9 13%
Unknown 31 45%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 12 17%
Nursing and Health Professions 9 13%
Business, Management and Accounting 3 4%
Social Sciences 3 4%
Engineering 2 3%
Other 8 12%
Unknown 32 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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 06 July 2026.
All research outputs
#651,926
of 34,376,207 outputs
Outputs from CHEST
#375
of 18,089 outputs
Outputs of similar age
#10,754
of 373,638 outputs
Outputs of similar age from CHEST
#6
of 105 outputs
Altmetric has tracked 34,376,207 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,089 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done particularly well, scoring higher than 97% 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 373,638 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 97% of its contemporaries.
We're also able to compare this research output to 105 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 94% of its contemporaries.