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Anesthesiology Control Tower: Feasibility Assessment to Support Translation (ACT-FAST)—a feasibility study protocol

Overview of attention for article published in Pilot and Feasibility Studies, January 2018
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4 X users
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1 Facebook page

Citations

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14 Dimensions

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52 Mendeley
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Title
Anesthesiology Control Tower: Feasibility Assessment to Support Translation (ACT-FAST)—a feasibility study protocol
Published in
Pilot and Feasibility Studies, January 2018
DOI 10.1186/s40814-018-0233-4
Pubmed ID
Authors

Teresa M. Murray-Torres, Frances Wallace, Mara Bollini, Michael S. Avidan, Mary C. Politi

Abstract

Major postoperative morbidity and mortality remain common despite efforts to improve patient outcomes. Health information technologies have the potential to actualize advances in perioperative patient care, but failure to evaluate the usability of these technologies may hinder their implementation and acceptance. This protocol describes the usability testing of an innovative telemedicine-based intra-operative clinical support system, the Anesthesiology Control Tower, in which a team led by an attending anesthesiologist will use a combination of established and novel information technologies to provide evidence-based support to their colleagues in the operating room. Two phases of mixed-methods usability testing will be conducted in an iterative manner and will evaluate both the individual components of the Anesthesiology Control Tower and their integration as a whole. Phase I testing will employ two separate "think-aloud" protocol analyses with the two groups of end users. Segments will be coded and analyzed for usability issues. Phase II will involve a qualitative and quantitative in situ usability and feasibility analysis. Results from each phase will inform the revision and improvement of the Control Tower prototype throughout our testing and analysis process. The final prototype will be evaluated in the form of a pragmatic randomized controlled clinical trial. The Anesthesiology Control Tower has the potential to revolutionize the standard of care for perioperative medicine. Through the thorough and iterative usability testing process described in this protocol, we will maximize the usefulness of this novel technology for our clinicians, thus improving our ability to implement this innovation into the model of care for perioperative medicine. The study that this protocol describes has been registered in clinicaltrials.gov as NCT02830126.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 13%
Researcher 6 12%
Student > Ph. D. Student 5 10%
Other 4 8%
Professor > Associate Professor 3 6%
Other 7 13%
Unknown 20 38%
Readers by discipline Count As %
Medicine and Dentistry 12 23%
Nursing and Health Professions 6 12%
Engineering 5 10%
Social Sciences 4 8%
Computer Science 3 6%
Other 1 2%
Unknown 21 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 February 2018.
All research outputs
#13,578,918
of 23,018,998 outputs
Outputs from Pilot and Feasibility Studies
#586
of 1,047 outputs
Outputs of similar age
#220,106
of 441,125 outputs
Outputs of similar age from Pilot and Feasibility Studies
#24
of 39 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,047 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 441,125 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.