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Impact of Telemedicine Monitoring of Community ICUs on Interhospital Transfers*

Overview of attention for article published in Critical Care Medicine, August 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
twitter
25 X users
facebook
1 Facebook page

Citations

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28 Dimensions

Readers on

mendeley
67 Mendeley
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Title
Impact of Telemedicine Monitoring of Community ICUs on Interhospital Transfers*
Published in
Critical Care Medicine, August 2017
DOI 10.1097/ccm.0000000000002487
Pubmed ID
Authors

Jasleen Pannu, Devang Sanghavi, Todd Sheley, Darrell R. Schroeder, Rahul Kashyap, Alberto Marquez, Craig E. Daniels, Daniel R. Brown, Sean M. Caples

Abstract

To study the effects of tele-ICU monitoring on interhospital transfers from community-based ICUs to the quaternary care hospital at Mayo Clinic, Rochester, MN. This is a retrospective review of data on interhospital transfers comparing trends prior to tele-ICU implementation to those following implementation. Tele-ICU programs are increasingly utilized to fill resource gaps in caring for critically ill patients. How such programs impact population and bed management within a healthcare system are not known. Mayo Clinic serves as quaternary referral care center for hospitals in the region within the Mayo Clinic Health System. In August 2013, we implemented tele-ICU monitoring at six Mayo Clinic Health System hospital ICUs. All adult ICU admissions during the study period (preimplementation phase: January 1, 2012, to December 31, 2012; and postimplementation phase: January 1, 2014, to December 31, 2014) in any of the six specified community ICUs were included in the study. Interhospital transfers significantly increased post institution of tele-ICU (p = 0.040) and was attributed primarily to transfer from less specialized ICUs (p = 0.037) as compared with more resource-intensive ICUs (p = 0.88). However, for such patient transfers, there were no significant differences before and after severity of illness scores, ICU mortality, or inhospital mortality. In a regional healthcare system, implementation of a tele-ICU program is associated with an increase in interhospital transfers from less resourced ICUs to the referral center, a trend that is not readily explained by increased severity of illness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 66 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 15%
Student > Master 10 15%
Other 6 9%
Student > Doctoral Student 5 7%
Student > Bachelor 4 6%
Other 14 21%
Unknown 18 27%
Readers by discipline Count As %
Medicine and Dentistry 15 22%
Nursing and Health Professions 9 13%
Business, Management and Accounting 8 12%
Social Sciences 3 4%
Unspecified 2 3%
Other 8 12%
Unknown 22 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 February 2022.
All research outputs
#1,593,133
of 25,382,440 outputs
Outputs from Critical Care Medicine
#1,008
of 9,342 outputs
Outputs of similar age
#30,956
of 327,503 outputs
Outputs of similar age from Critical Care Medicine
#21
of 134 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 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,342 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done well, scoring higher than 89% 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 327,503 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 134 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.