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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 (75th percentile)

Mentioned by

27 tweeters


120 Dimensions

Readers on

276 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 27 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 276 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 274 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 14%
Other 30 11%
Student > Ph. D. Student 29 11%
Researcher 28 10%
Student > Bachelor 22 8%
Other 85 31%
Unknown 43 16%
Readers by discipline Count As %
Medicine and Dentistry 116 42%
Nursing and Health Professions 44 16%
Social Sciences 17 6%
Psychology 11 4%
Business, Management and Accounting 5 2%
Other 25 9%
Unknown 58 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 04 July 2021.
All research outputs
of 20,886,305 outputs
Outputs from Academic medicine
of 6,098 outputs
Outputs of similar age
of 212,537 outputs
Outputs of similar age from Academic medicine
of 53 outputs
Altmetric has tracked 20,886,305 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,098 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done well, scoring higher than 80% 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 212,537 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 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.