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“Hand-it-on”: an innovative simulation on the relation of non-technical skills to healthcare

Overview of attention for article published in Advances in Simulation, December 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Title
“Hand-it-on”: an innovative simulation on the relation of non-technical skills to healthcare
Published in
Advances in Simulation, December 2016
DOI 10.1186/s41077-016-0031-0
Pubmed ID
Authors

Peter Dieckmann, Louise Graae Zeltner, Anne-Mette Helsø

Abstract

Non-technical skills (NTS) are an integral part of the abilities healthcare professionals need to optimally care for patients. Integrating NTS into the already complex tasks of healthcare can be a challenge for clinicians. Integrating NTS into simulation-based training increases the demands for simulation instructors with regard to scenario design, conduct, and debriefing. We introduce a simulation game,Hand-it-on, that can trigger discussions on how NTS can influence work processes.Hand-it-onaims to help clinicians and simulation instructors alike to improve their understanding of NTS concepts and where they can apply them in their work. It complements existing approaches to teaching NTS by limiting the complexity of the game and by removing medical content, allowing learners to concentrate on NTS.Hand-it-onis relevant for groups and teams working across the range of different healthcare contexts. DuringHand-it-on,participants stand in a circle and hand on everyday objects to each other according to simple rules, resulting in many events that can be debriefed in relation to safe patient care. We describe both the conduct ofHand-it-onand ideas on how to debrief participants. We provide variations that can be used in different contexts, focusing the exercise on different learning goals. We also offer the theoretical rationale for using an out-of-context simulation in combination with other forms of teaching. Although we did not evaluateHand-it-onformally, oral feedback from participants and the replication ofHand-it-onby many simulation teams support its value.

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X Demographics

The data shown below were collected from the profiles of 27 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Other 6 12%
Student > Master 5 10%
Student > Ph. D. Student 5 10%
Lecturer 5 10%
Student > Bachelor 4 8%
Other 13 27%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 14 29%
Nursing and Health Professions 11 22%
Social Sciences 2 4%
Business, Management and Accounting 1 2%
Linguistics 1 2%
Other 8 16%
Unknown 12 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 29 September 2022.
All research outputs
#1,802,876
of 24,525,534 outputs
Outputs from Advances in Simulation
#85
of 255 outputs
Outputs of similar age
#36,354
of 425,444 outputs
Outputs of similar age from Advances in Simulation
#3
of 6 outputs
Altmetric has tracked 24,525,534 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 255 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has gotten more attention than average, scoring higher than 67% 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 425,444 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 6 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.