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Telemedicine with clinical decision support for critical care: a systematic review

Overview of attention for article published in Systematic Reviews, October 2016
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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1 policy source
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9 X users

Citations

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36 Dimensions

Readers on

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195 Mendeley
Title
Telemedicine with clinical decision support for critical care: a systematic review
Published in
Systematic Reviews, October 2016
DOI 10.1186/s13643-016-0357-7
Pubmed ID
Authors

Nicola Mackintosh, Marius Terblanche, Ritesh Maharaj, Andreas Xyrichis, Karen Franklin, Jamie Keddie, Emily Larkins, Anna Maslen, James Skinner, Samuel Newman, Joana Hiew De Sousa Magalhaes, Jane Sandall

Abstract

Telemedicine applications aim to address variance in clinical outcomes and increase access to specialist expertise. Despite widespread implementation, there is little robust evidence about cost-effectiveness, clinical benefits, and impact on quality and safety of critical care telemedicine. The primary objective was to determine the impact of critical care telemedicine (with clinical decision support available 24/7) on intensive care unit (ICU) and hospital mortality and length of stay in adults and children. The secondary objectives included staff and patient experience, costs, protocol adherence, and adverse events. Data sources included MEDLINE, EMBASE, CINAHL, Cochrane Library databases, Health Technology Assessment Database, Web of Science, OpenGrey, OpenDOAR, and the HMIC through to December 2015. Randomised controlled trials and quasi-experimental studies were eligible for inclusion. Eligible studies reported on differences between groups using the telemedicine intervention and standard care. Two review authors screened abstracts and assessed potentially eligible studies using Cochrane guidance. Two controlled before-after studies met the inclusion criteria. Both were assessed as high risk of bias. Meta-analysis was not possible as we were unable to disaggregate data between the two studies. One study used a non-randomised stepped-wedge design in seven ICUs. Hospital mortality was the primary outcome which showed a reduction from 13.6 % (CI, 11.9-15.4 %) to 11.8 % (CI, 10.9-12.8 %) during the intervention period with an adjusted odds ratio (OR) of 0.40 (95 % CI, 0.31-0.52; p = .005). The second study used a non-randomised, unblinded, pre-/post-assessment of telemedicine interventions in 56 adult ICUs. Hospital mortality (primary outcome) reduced from 11 to 10 % (adjusted hazard ratio (HR) = 0.84; CI, 0.78-0.89; p = <.001). This review highlights the poor methodological quality of most studies investigating critical care telemedicine. The results of the two included studies showed a reduction in hospital mortality in patients receiving the intervention. Further multi-site randomised controlled trials or quasi-experimental studies with accompanying process evaluations are urgently needed to determine effectiveness, implementation, and associated costs. PROSPERO CRD42014007406.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 194 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 17%
Student > Ph. D. Student 28 14%
Other 17 9%
Student > Doctoral Student 17 9%
Researcher 16 8%
Other 42 22%
Unknown 42 22%
Readers by discipline Count As %
Medicine and Dentistry 61 31%
Nursing and Health Professions 37 19%
Social Sciences 7 4%
Business, Management and Accounting 6 3%
Computer Science 6 3%
Other 31 16%
Unknown 47 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 December 2020.
All research outputs
#3,543,259
of 24,671,780 outputs
Outputs from Systematic Reviews
#659
of 2,153 outputs
Outputs of similar age
#58,649
of 322,549 outputs
Outputs of similar age from Systematic Reviews
#17
of 46 outputs
Altmetric has tracked 24,671,780 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,153 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 gotten more attention than average, scoring higher than 69% 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 322,549 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 81% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.