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How to debrief teamwork interactions: using circular questions to explore and change team interaction patterns

Overview of attention for article published in Advances in Simulation, November 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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
36 tweeters

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
100 Mendeley
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Title
How to debrief teamwork interactions: using circular questions to explore and change team interaction patterns
Published in
Advances in Simulation, November 2016
DOI 10.1186/s41077-016-0029-7
Pubmed ID
Authors

Michaela Kolbe, Adrian Marty, Julia Seelandt, Bastian Grande

Abstract

We submit that interaction patterns within healthcare teams should be more comprehensively explored during debriefings in simulation-based training because of their importance for clinical performance. We describe howcircular questionscan be used for that purpose. Circular questions are based on social constructivism. They include a variety of systemic interviewing methods. The goals of circular questions are to explore the mutual dependency of team members' behavior and recurrent behavior patterns, to generate information, to foster perspective taking, to "fluidize" problems, and to put actions into relational contexts. We describe the nature of circular questions, the benefits they offer, and ways of applying them during debriefings.

Twitter Demographics

The data shown below were collected from the profiles of 36 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
Unknown 99 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 19%
Other 13 13%
Researcher 10 10%
Student > Bachelor 9 9%
Student > Ph. D. Student 7 7%
Other 23 23%
Unknown 19 19%
Readers by discipline Count As %
Medicine and Dentistry 29 29%
Nursing and Health Professions 16 16%
Psychology 12 12%
Unspecified 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 15 15%
Unknown 23 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 07 June 2021.
All research outputs
#1,327,781
of 22,903,988 outputs
Outputs from Advances in Simulation
#52
of 234 outputs
Outputs of similar age
#25,585
of 306,450 outputs
Outputs of similar age from Advances in Simulation
#2
of 5 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 234 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done well, scoring higher than 77% 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 306,450 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 91% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.