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Structuring Feedback and Debriefing to Achieve Mastery Learning Goals

Overview of attention for article published in Academic medicine, November 2015
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

29 tweeters


81 Dimensions

Readers on

192 Mendeley
Structuring Feedback and Debriefing to Achieve Mastery Learning Goals
Published in
Academic medicine, November 2015
DOI 10.1097/acm.0000000000000934
Pubmed ID

Walter J. Eppich, Elizabeth A. Hunt, Jordan M. Duval-Arnould, Viva Jo Siddall, Adam Cheng


Mastery learning is a powerful educational strategy in which learners gain knowledge and skills that are rigorously measured against predetermined mastery standards with different learners needing variable time to reach uniform outcomes. Central to mastery learning are repetitive deliberate practice and robust feedback that promote performance improvement. Traditional health care simulation involves a simulation exercise followed by a facilitated postevent debriefing in which learners discuss what went well and what they should do differently next time, usually without additional opportunities to apply the specific new knowledge. Mastery learning approaches enable learners to "try again" until they master the skill in question. Despite the growing body of health care simulation literature documenting the efficacy of mastery learning models, to date insufficient details have been reported on how to design and implement the feedback and debriefing components of deliberate-practice-based educational interventions. Using simulation-based training for adult and pediatric advanced life support as case studies, this article focuses on how to prepare learners for feedback and debriefing by establishing a supportive yet challenging learning environment; how to implement educational interventions that maximize opportunities for deliberate practice with feedback and reflection during debriefing; describing the role of within-event debriefing or "microdebriefing" (i.e., during a pause in the simulation scenario or during ongoing case management without interruption), as a strategy to promote performance improvement; and highlighting directions for future research in feedback and debriefing for mastery learning.

Twitter Demographics

The data shown below were collected from the profiles of 29 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 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Unknown 190 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 14%
Other 25 13%
Researcher 20 10%
Student > Ph. D. Student 19 10%
Professor > Associate Professor 16 8%
Other 65 34%
Unknown 21 11%
Readers by discipline Count As %
Medicine and Dentistry 86 45%
Nursing and Health Professions 33 17%
Social Sciences 13 7%
Psychology 10 5%
Business, Management and Accounting 4 2%
Other 16 8%
Unknown 30 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 24 July 2019.
All research outputs
of 15,095,642 outputs
Outputs from Academic medicine
of 4,878 outputs
Outputs of similar age
of 202,907 outputs
Outputs of similar age from Academic medicine
of 54 outputs
Altmetric has tracked 15,095,642 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 4,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done well, scoring higher than 81% 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 202,907 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 89% of its contemporaries.
We're also able to compare this research output to 54 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 74% of its contemporaries.