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Doing the Right Thing at the Right Time

Overview of attention for article published in Computers, informatics, nursing, May 2015
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Title
Doing the Right Thing at the Right Time
Published in
Computers, informatics, nursing, May 2015
DOI 10.1097/cin.0000000000000141
Pubmed ID
Authors

SIMON COOPER, ROBYN P. CANT, FIONA BOGOSSIAN, TRACEY BUCKNALL, RUBEN HOPMANS

Abstract

International studies indicate that the recognition and management of deteriorating patients in hospitals are poor and that patient assessment is often inadequate. Face-to-face simulation programs have been shown to have an impact on educational and clinical outcomes; however, little is known about performance in contemporary healthcare e-simulation approaches. Using data from an open-access Web-based patient deterioration program (FIRSTACTWeb), the performance of 367 Australian nursing students in identification of treatment priorities and clinical actions was analyzed using a military model of Course of Action Simulation Analysis. Participants' performance in the whole program demonstrated a significant improvement in knowledge and skills (P ≤ .001) with high levels of participant satisfaction. Course of Action Simulation Analysis modeling identified three key participant groupings within which only 18% took the "best course of action" (the right actions and timing), with most (70%) completing the right actions but in the wrong order. The remaining 12% produced incomplete assessments and actions in an incorrect sequence. Contemporary approaches such as e-simulation do enhance educational outcomes. Measurement of performance when combined with Course of Action Simulation Analysis becomes a useful tool in the description of outcomes, an understanding of decision making, and the prediction of future events.

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The data shown below were collected from the profile of 1 X user 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 9 17%
Student > Ph. D. Student 6 12%
Student > Bachelor 5 10%
Researcher 5 10%
Student > Doctoral Student 2 4%
Other 6 12%
Unknown 19 37%
Readers by discipline Count As %
Nursing and Health Professions 14 27%
Social Sciences 7 13%
Medicine and Dentistry 4 8%
Agricultural and Biological Sciences 3 6%
Psychology 1 2%
Other 2 4%
Unknown 21 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 May 2015.
All research outputs
#20,011,485
of 25,457,858 outputs
Outputs from Computers, informatics, nursing
#754
of 1,501 outputs
Outputs of similar age
#193,176
of 279,098 outputs
Outputs of similar age from Computers, informatics, nursing
#19
of 26 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,501 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.